WEBVTT

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Welcome to the deep dive, where we really plunge

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into the sources, the articles, the research,

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and pull out those key nuggets of knowledge just

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for you. Today we're diving into something that

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sounds maybe a bit niche, but it's actually incredibly

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vital in modern medicine. We're talking about

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precision, absolute precision in shoulder surgeries.

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Imagine for a second you're maybe facing total

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shoulder arthroplasty, TSA, they call it. It's

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this major procedure, right, designed to get

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rid of awful pain, give you back your movement.

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But the success of that surgery, it really hinges

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on an almost unbelievable level of accuracy.

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We're talking replacing parts of your shoulder

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joint, the socket, the glenoid, getting that

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angle spot on. You might think, well, how much

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difference can a few degrees make? But, you know,

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in the body, especially a joint like the shoulder.

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Tiny angles, huge consequences. Yeah, think about

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this. Using some of the older methods, a surgeon

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might, without even knowing it, place an implant

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based on a measurement that's off by what the

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paper suggests, over 14 degrees in some cases.

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14 degrees. That's massive in this context. Exactly.

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And that tiny sounding error, it could mean years

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of pain -free life versus going back under the

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knife for another really tough, expensive revision

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surgery. Which nobody wants. Nobody. And this

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isn't just for surgeons, is it? It's really for

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anyone curious about how medicine moves forward,

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how brilliant people are pushing for that accuracy

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that genuinely changes lives. Absolutely. And

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what's really remarkable here, I think, is how

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a seemingly small refinement, just tweaking how

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you measure something, can have these huge ripple

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effects. Our mission today is to unpack one of

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those innovations, a potentially groundbreaking

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way to measure that shoulder socket angle, the

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glenoid version. It's called the ellipse modification

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of the Friedman method. Ellipse modification,

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okay. And this isn't just theory, it's backed

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by solid research, a key paper published in the

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Bone and Joint Journal back in February 2020.

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And a really crucial contributor to this work,

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someone instrumental in actually writing the

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manuscript. So really shaping how the findings

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were presented, ensuring that scientific rigor

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is Professor Mo Imam. Professor Imam? Yes, he's

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based at Ashford in St. Peter's Hospital's NHS

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Trust. And he's, well, he's a highly prolific

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researcher. exceptionally cited. We're talking

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146 publications, over 1 ,100 citations. His

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input here really speaks volumes about the thought

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behind this method. That's some serious expertise.

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It is. And the core idea, the whole point, is

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that getting that precision before surgery in

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the planning stage is just vital for success.

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It directly impacts how well you function afterwards,

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your quality of life. So what does this all mean

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for you listening in? Maybe you're not a surgeon,

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maybe you're not having shoulder surgery, but

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Understanding this, this relentless drive for

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getting things exactly right, it gives you real

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insight into how medicine improves, doesn't it?

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It really does. We're going to get into why these

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tiny angles matter so much and how research like

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this, spearheaded by people like Professor Imam,

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makes a real difference. It's science refining

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how we heal. OK, so let's set the stage properly.

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Let's talk about the stakes in total shoulder

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arthroplasty because they are incredibly high.

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TSA, it's a big deal. You're replacing damaged

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parts. the ball of your upper arm bone, the humerus,

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and that shallow cup, the glenoid, your shoulder

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socket, replacing them with artificial parts.

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Prostetic components, yeah. Think of it like,

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I don't know, building a house inside your shoulder,

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high stakes construction. And just like with

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the house, the foundation, it has to be perfectly

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level if it's off even a bit. Everything else

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is compromised. Walls, roof. Exactly. In TSA,

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that foundation is the glenoid component, this

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artificial socket they put in. And the main goal,

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the absolute driver for the... is getting that

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alignment just right, anatomically correct. That's

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the key to making the implant last, making sure

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your shoulder works properly, hopefully for decades.

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Yeah. Pain -free movement. That's the dream.

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The dream. And connecting this to the bigger

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picture. The reason that foundation, that alignment,

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is so incredibly critical is because glenoid

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loosening. Well, it's the most common reason

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why these anatomical shoulder replacements fail.

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loosening, so the implant comes away from the

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bone. Essentially, yes. And that's the number

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one reason patients end up needing revision surgery,

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a second operation, which is complex, costly,

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painful, just something everyone wants to avoid.

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Definitely. And this is where glenoid version

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comes right into the spotlight. It's basically

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the angle of that socket. Is it tilted too far

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forward? That's anti -version? Yeah. Or too far

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backward? That's retroversion. OK, the tilt.

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Yeah, the tilt. If that angle isn't right, Even

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by just a few degrees, it puts abnormal stress

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on the new implant. Constant, uneven pressure.

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And over time, that stress can cause the component

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to slowly work its way loose. Ah, okay. So that

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slight tilt leads directly to the loosening problem.

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It's a major contributing factor, absolutely.

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And these aren't just, you know, theoretical

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worries from research papers, are they? This

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stuff is real. It hits patients hard. Devastatingly

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real. Yeah. and meticulously documented. There

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are studies, right, like Farron and his team

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back in 2006. They found if the glenoid was put

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in more than five degrees too far back, too retroverted.

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Yeah, more than five degrees retroversion. It

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led to a seven -fold increase in micromotion.

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Seven times. Micro ocean. That sounds small,

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but it's bad, right? It's terrible. Imagine tiny

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little destructive wobbles where the implant

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meets the bone. It destabilizes everything. And

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they also sound a 3 .26 fold increase in stress

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right at that bone cement interface. It's basically

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asking for the implant to fail early. Wow. Okay.

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And then there was Shapiro, 2007. They showed

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that if you don't correct that backward tilt,

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that retroversion, you get eccentric loading.

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Eccentric loading, yeah. Think of it like the

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forest isn't spread evenly across the implant.

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It's constantly pushing it off -center. Like

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leaning on one side of a chair leg constantly.

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Kind of, yeah. And that leads directly to more

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wear on the implant material itself. And again,

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it loosens faster. And even small amounts matter.

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I think Neifler's group showed that. Yes. Neifler

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at all. In 2006, they used cadaver models. Very

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precise. Showed that even tiny steps of retroversion

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just four degrees at a time, caused the humeral

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head, the ball part, to shift backward off center.

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And that led to early loosening in their models.

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So even small errors add up. They absolutely

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do. And maybe most importantly for how a patient

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actually feels and functions, Ye -Yin and colleagues

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in 2005 found a direct link. More retroversion

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in the implant. Significantly lower constant

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scores. The constant score, that measures shoulder

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function, right? Pain, movement. Exactly. It's

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a standard measure. Lower scores mean more pain,

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less movement, basically a shoulder that doesn't

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work well for everyday things, reaching up, getting

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dressed. So we're not just talking about implants

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revival here. We're talking about real day -to

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-day pain and limitation for the patient and

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potentially needing another operation. Precisely.

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And while, sure, other things play a role, patient

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factors like age, sex. the implant design itself,

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getting that glenoid position right, that's a

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huge factor. And crucially, it's something the

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surgeon can control. It's controllable. That's

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the key. It is. It's a critical moment in the

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OR where accurate measurement can literally change

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the patient's future. OK, so the stakes are sky

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high. Getting that angle right is non -negotiable,

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which brings us to the obvious question. How

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do surgeons measure it accurately? You mentioned

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CT scans. Regular x -rays aren't enough. No.

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Conventional x -rays just don't give you the

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detail you need for version. You absolutely need

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a CT scan, computed tomography. It gives you

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those cross -sectional slices. Right. But even

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with CT scans, you said there's no single best

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way everyone agrees on. That's the surprising

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thing. There isn't universal consensus. Different

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techniques exist. But one thing everyone does

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agree on is that the CT scans must be properly

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reformatted. Reformatted? What does that mean?

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It means digitally realigning the images so you're

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looking squarely at the shoulder blade, the scapula,

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and its natural plane. You remove any tilt or

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rotation from how the scan was taken. It's called

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the scapula plane reformat. OK, so you have to

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get the image lined up perfectly first. Absolutely.

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If you don't do that basic step right, any measurement

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you take afterwards is basically garbage. It

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won't be accurate or reproducible. Got it. Foundational

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step. So assuming you've got your properly reformatted

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CT, what's been the main method people use? Historically,

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and still very common because it's relatively

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straightforward, the go -to has been the Friedman

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method, described way back in 1992 by Friedman

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and his colleagues. Friedman method. OK. How

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does that work? It uses a bony landmark called

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the coracoid process. It's this hook -like bone

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sticking off the front of your shoulder blade.

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You find that, and then you measure the glenoid

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version on an axial slice, a cross section that's

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10 millimeters below it. 10 millimeters below

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the coracoid? Seems specific. It is specific.

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Yeah. But, and here's the crucial but, if it's

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so widely used, what's the problem? Why bother

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developing something new like Professor Imam

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and his co -authors did? Yeah, good question.

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What's the catch? The catch is the coracoid itself.

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Ah, the reference point. Exactly. And this is

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where the paper we're looking at gets really

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interesting and where the ellipse method comes

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in. The paper points out quite directly that

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the coracoid process is highly variable. Variable

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how? Like shape? Position? Both. Its shape can

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differ quite a bit between people. and critically,

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its exact position relative to the actual glenoid

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socket isn't consistent. So if your landmark

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moves around... Your measurement starting point

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moves around. It makes it really hard to consistently

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find what everyone agrees is the true mid -glenoid

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level. Mid -glenoid level. Why is heading that

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exact middle point so important? Because the

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glenoid version... that angle we care so much

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about. It actually changes along the face of

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the socket. It's not the same angle top to bottom.

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Really? It varies. Oh, yeah. Typically, the upper

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part of the glenoid is more retroverted, tilted

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back, more than the middle part of the true equator.

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Ah, OK. So if you measure too high or too low

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because your coracoid landmark put you in the

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wrong spot. You get a skewed measurement. You

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might think the version is, say, 10 degrees retroverted,

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but the true version at the middle might only

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be five degrees. or vice versa. You're measuring

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the wrong slice, essentially. And that inconsistency,

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that reliance on a variable landmark, that's

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the Achilles heel of the Friedman method. That's

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exactly what the authors argue. It introduces

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this inherent variability that surgeons have

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just had to kind of deal with. Now there are

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other methods, sure, Randelli's method, Poonin

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-Ting's vault method for... tricky cases. But

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Friedman's has been the most popular. Generally,

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yes, because it seems relatively easy to apply,

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which makes this variability problem even more

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significant. You know, it highlights why a more

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reliable way to find that mid -glenoid level

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was really needed. And what's really cool about

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the ellipse method is where it came from. It

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wasn't just dreamt up in a lab somewhere. It

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came directly out of the clinical trenches, you

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could say. The authors, including Professor Mo

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Imam, who, remember, was key in actually writing

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this paper, articulated the findings they were

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facing, these exact limitations of the Friedman

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method, day in, day out in their own surgical

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practice. They were living the problem. Exactly.

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And especially with newer digital imaging, where

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you can see the axial and sagittal views cross

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-section and side view side by side simultaneously.

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Ah, that must make the inconsistencies more obvious.

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It really does. You start seeing how relying

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on just the coracoid isn't always hitting the

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same spot relative to the glenoid itself. So

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their goal became really clear. Find a way to

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consistently, reliably nail down that mid -glenoid

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level every single time. Not just guess, or hope

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you're in the right place. Precisely. It wasn't

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about totally changing how you measure the angle

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between the lines, but about making sure where

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you draw those lines is standardized and accurate.

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picking the guesswork out. OK, so let's unpack

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it. How does this ellipse method actually work?

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Walk us through the steps. It sounds like a visual

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journey. It is, and it's actually quite elegant

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once you break it down. It's basically five steps

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using those modern CT views. Step one, you start

00:12:04.029 --> 00:12:05.909
with the sagittal view, the side view of the

00:12:05.909 --> 00:12:09.309
shoulder. And on that view, you draw what they

00:12:09.309 --> 00:12:11.620
call a best fit ellipse. Right around the entire

00:12:11.620 --> 00:12:14.200
glenoid fossa, top to bottom. Like putting an

00:12:14.200 --> 00:12:17.059
oval picture frame around the socket from the

00:12:17.059 --> 00:12:19.419
side. That's a perfect analogy. You capture the

00:12:19.419 --> 00:12:22.299
whole vertical extent. That ellipse becomes your

00:12:22.299 --> 00:12:25.519
geometric guide. Step two. Step two. Measure

00:12:25.519 --> 00:12:27.600
the vertical diameter of that ellipse you just

00:12:27.600 --> 00:12:30.639
drew. The total height. Simple measurement. Got

00:12:30.639 --> 00:12:34.700
it. Full height. Step three. Step three. Calculate

00:12:34.700 --> 00:12:37.340
the exact midpoint of that vertical diameter.

00:12:37.549 --> 00:12:39.870
Just divide the height by two. That gives you

00:12:39.870 --> 00:12:42.149
the precise vertical center of the glenoid in

00:12:42.149 --> 00:12:44.769
that side view. The geometric middle, not based

00:12:44.769 --> 00:12:46.929
on a wobbly bone landmark. Exactly. That's the

00:12:46.929 --> 00:12:49.669
key innovation. Use this geometry, not variable

00:12:49.669 --> 00:12:52.570
anatomy, to find the center. Clever. Okay, step

00:12:52.570 --> 00:12:55.389
four. Step four. Now, you use the power of the

00:12:55.389 --> 00:12:58.110
linked views. You find the axial slice, the cross

00:12:58.110 --> 00:13:00.309
-sectional view, that corresponds exactly to

00:13:00.309 --> 00:13:02.470
that calculated midpoint you found on the sagittal

00:13:02.470 --> 00:13:05.070
view. You scroll through the axial slices until

00:13:05.070 --> 00:13:06.789
you hit the one that lines up perfectly with

00:13:06.789 --> 00:13:09.570
your midpoint marker. Ah, so the sagittal view

00:13:09.570 --> 00:13:12.490
guides you to the correct axial slice. Precisely.

00:13:12.750 --> 00:13:15.610
That specific slice is your defined, consistent,

00:13:15.909 --> 00:13:18.889
reproducible mid -glenoid level. Found it. No

00:13:18.889 --> 00:13:23.490
more ambiguity. And step five. Step five. Now

00:13:23.490 --> 00:13:25.629
that you're confidently on the right axial slice,

00:13:26.029 --> 00:13:29.210
you measure the glenoid version, and you use

00:13:29.210 --> 00:13:31.789
the exact same landmarks as the original Friedman

00:13:31.789 --> 00:13:34.590
method. You draw the glenoid line across the

00:13:34.590 --> 00:13:37.389
socket face. You draw the scapular axis line.

00:13:37.529 --> 00:13:39.389
And measure the angle between them. Correct.

00:13:39.570 --> 00:13:41.429
So the angle measurement itself is familiar,

00:13:41.850 --> 00:13:43.850
but the plane you're measuring it on is now defined

00:13:43.850 --> 00:13:47.029
with much, much greater consistency thanks to

00:13:47.029 --> 00:13:48.990
that ellipse. Okay, let me make sure I've got

00:13:48.990 --> 00:13:51.750
this. It's not a totally new angle measurement,

00:13:51.789 --> 00:13:54.350
but a much, much better way of making sure you're

00:13:54.350 --> 00:13:57.129
measuring that angle at the right spot, the true

00:13:57.129 --> 00:13:59.230
middle of the glenoid every single time. You've

00:13:59.230 --> 00:14:01.889
got it. It refines Friedman by fixing its biggest

00:14:01.889 --> 00:14:04.909
weakness. Finding the correct level reliably,

00:14:04.909 --> 00:14:07.649
it gives it a stable geometric foundation. That

00:14:07.649 --> 00:14:09.450
makes a lot of sense. And this leads to a really

00:14:09.450 --> 00:14:12.490
important question. What does this mean, practically,

00:14:12.990 --> 00:14:14.909
for the surgeon in the operating room? Yeah,

00:14:14.929 --> 00:14:17.289
beyond just a better number on a planning sheet.

00:14:17.399 --> 00:14:20.919
Well, finding that true mid -glenoid level accurately,

00:14:21.779 --> 00:14:24.279
it doesn't just help plan. It gives the surgeon

00:14:24.279 --> 00:14:28.200
a much clearer picture of the ideal entry point

00:14:28.200 --> 00:14:30.159
for the central guide wire when they're actually

00:14:30.159 --> 00:14:32.539
putting the glenoid component in. The first pin

00:14:32.539 --> 00:14:35.120
they place to guide the implant. Exactly. The

00:14:35.120 --> 00:14:37.740
paper calls it intraoperative corroboration.

00:14:38.460 --> 00:14:40.820
It means the surgeon has a better map during

00:14:40.820 --> 00:14:43.039
the surgery itself. They could be more confident

00:14:43.039 --> 00:14:45.159
they're aiming for the right spot, the center

00:14:45.159 --> 00:14:47.519
they identified in planning. So it connects the

00:14:47.519 --> 00:14:50.340
plan to the action much more reliably. That's

00:14:50.340 --> 00:14:53.460
the idea. Potentially fewer errors in placement,

00:14:54.059 --> 00:14:56.100
better positioning of the actual implant, it

00:14:56.100 --> 00:14:58.460
builds that bridge between planning and doing.

00:14:58.740 --> 00:15:01.019
Okay, so the message sounds elegant, logical.

00:15:01.470 --> 00:15:03.350
Very clever, actually. But how did they prove

00:15:03.350 --> 00:15:05.409
it works? How did they test it rigorously? Right.

00:15:05.529 --> 00:15:07.710
The study design. This was a retrospective study,

00:15:07.809 --> 00:15:09.350
meaning they went back and looked at data that

00:15:09.350 --> 00:15:11.070
already existed. Sedation scans already done.

00:15:11.250 --> 00:15:14.190
Exactly. They pulled up 100 CT scans from 100

00:15:14.190 --> 00:15:16.230
different patients who were all getting their

00:15:16.230 --> 00:15:18.830
first primary shoulder replacement. So a good

00:15:18.830 --> 00:15:21.470
size group. An irrelevant group, the actual patients

00:15:21.470 --> 00:15:23.950
who need this. Definitely. It was a mix, 58 women,

00:15:24.309 --> 00:15:28.370
42 men, average age around 65, 66, but ranging

00:15:28.370 --> 00:15:31.690
all the way from 19 to 93. So it captured that

00:15:31.690 --> 00:15:33.990
typical TSA demographic pretty well. And the

00:15:33.990 --> 00:15:35.990
stands themselves, they made sure they were suitable?

00:15:36.169 --> 00:15:38.350
Oh, absolutely crucial. They used a standard

00:15:38.350 --> 00:15:40.889
protocol, thin, one millimeter slices through

00:15:40.889 --> 00:15:44.100
the glenoid. And importantly, they ensured all

00:15:44.100 --> 00:15:47.100
scans were properly reformatted into that scapula

00:15:47.100 --> 00:15:48.879
plane we talked about. Giving the alignment right

00:15:48.879 --> 00:15:51.759
from the start. Essential. They also had clear

00:15:51.759 --> 00:15:53.899
rules for who was in and who was out inclusion

00:15:53.899 --> 00:15:57.200
-exclusion criteria. Had to be adults, first

00:15:57.200 --> 00:16:00.580
-time TSA, needed a good quality CT scan available

00:16:00.580 --> 00:16:03.399
digitally. And who did they exclude? People who'd

00:16:03.399 --> 00:16:05.379
already had shoulder replacements or surgery

00:16:05.379 --> 00:16:07.360
on their scapula, anyone whose bones weren't

00:16:07.360 --> 00:16:10.899
fully mature, or if the CT scan was just technically

00:16:10.899 --> 00:16:13.960
inadequate, not properly reformatted, didn't

00:16:13.960 --> 00:16:15.480
show the whole shoulder blade, that sort of thing.

00:16:15.639 --> 00:16:17.899
So they were careful to compare like with like,

00:16:18.320 --> 00:16:20.399
making sure the data was clean. Very careful.

00:16:20.779 --> 00:16:22.820
That's vital for results you can trust. Okay,

00:16:22.820 --> 00:16:25.039
so they had the scans. Who did the measuring

00:16:25.039 --> 00:16:28.000
and how? Two senior observers did the measurements.

00:16:28.659 --> 00:16:32.320
The paper calls them SJ and SH. Experienced clinicians

00:16:32.320 --> 00:16:35.450
who know how to read these scans. And they both

00:16:35.450 --> 00:16:37.690
measured glenoid version using the classic Friedman

00:16:37.690 --> 00:16:40.370
method and the new ellipse method on all 100

00:16:40.370 --> 00:16:43.110
scans. So a direct comparison on the same patients.

00:16:43.309 --> 00:16:45.309
Both methods, both observers, okay. But they

00:16:45.309 --> 00:16:48.409
added another layer of rigor, observer 1, SJ.

00:16:49.570 --> 00:16:52.429
They measured Friedman once, but they measured

00:16:52.429 --> 00:16:55.750
using the ellipse method twice. Twice. Why? With

00:16:55.750 --> 00:16:57.549
a one -month gap between the two measurements.

00:16:57.730 --> 00:17:00.509
This was to test intra -rater reliability. How

00:17:00.509 --> 00:17:02.990
consistent is the same person using the ellipse

00:17:02.990 --> 00:17:05.170
method over time? Do they get the same result

00:17:05.170 --> 00:17:07.769
if they measure again later? Yeah, checking for

00:17:07.769 --> 00:17:10.049
drift or inconsistency in one person's measurements.

00:17:10.309 --> 00:17:13.210
Smart. Very smart. And observer two, SH, measured

00:17:13.210 --> 00:17:15.470
the ellipse method once. So this whole setup

00:17:15.470 --> 00:17:16.789
allowed them to look at everything. Likewise.

00:17:16.970 --> 00:17:19.589
Well, comparing ellipse versus Friedman directly.

00:17:19.980 --> 00:17:23.460
Comparing observer 1 versus observer 2 using

00:17:23.460 --> 00:17:25.839
the ellipse method that's iterator reliability.

00:17:26.400 --> 00:17:29.180
Consistency between different people. And comparing

00:17:29.180 --> 00:17:31.500
observer one's first ellipse measurement to their

00:17:31.500 --> 00:17:33.940
second Heller, that's the inter -rater reliability

00:17:33.940 --> 00:17:36.599
we just talked about. Wow, okay. That's thorough.

00:17:36.859 --> 00:17:39.539
Covering all the bases for reliability. Extremely

00:17:39.539 --> 00:17:41.359
thorough. It's how you really build confidence

00:17:41.359 --> 00:17:43.700
in a new measurement technique. So they had all

00:17:43.700 --> 00:17:45.660
these measurements. How did they analyze the

00:17:45.660 --> 00:17:47.740
numbers? What stats did they use? They used a

00:17:47.740 --> 00:17:50.200
solid statistical toolkit to really dig into

00:17:50.200 --> 00:17:53.440
what the numbers meant. First, a paired t -test.

00:17:53.640 --> 00:17:56.119
This basically checks if the average difference

00:17:56.119 --> 00:17:58.000
between two sets of measurements like Ellipse

00:17:58.000 --> 00:18:00.559
versus Friedman or Observer 1 versus Observer

00:18:00.559 --> 00:18:02.799
2 is statistically significant. Is the difference

00:18:02.799 --> 00:18:05.640
likely real or just random chance? Okay, average

00:18:05.640 --> 00:18:07.920
difference. Then, critically, they use bland

00:18:07.920 --> 00:18:10.369
Altman plots. These are brilliant for looking

00:18:10.369 --> 00:18:12.950
at agreement between methods. Instead of just

00:18:12.950 --> 00:18:15.170
averages, it plots the difference between two

00:18:15.170 --> 00:18:17.329
measurements for each patient against the average

00:18:17.329 --> 00:18:19.410
of those two measurements. So you see the spread.

00:18:19.490 --> 00:18:21.509
How much individual measurements might disagree?

00:18:21.849 --> 00:18:24.289
Exactly. It visually shows you the range of disagreement.

00:18:25.089 --> 00:18:27.349
Are the methods generally close across the board,

00:18:27.430 --> 00:18:30.509
or do they sometimes differ wildly? You look

00:18:30.509 --> 00:18:33.630
for the limits of agreement on the plot. Narrow

00:18:33.630 --> 00:18:36.789
limits mean good agreement. Wide limits? Not

00:18:36.789 --> 00:18:39.190
so much. Okay, Bland -Altman for agreement. What

00:18:39.190 --> 00:18:41.450
else? The Interclass Correlation Coefficient,

00:18:41.869 --> 00:18:44.730
or ICC. This gives you a single number between

00:18:44.730 --> 00:18:47.769
0 and 1 that quantifies reliability or consistency.

00:18:48.130 --> 00:18:50.190
Higher is better. In this study, they defined

00:18:50.190 --> 00:18:54.730
0 .90 or above as excellent. ICC for reliability.

00:18:54.849 --> 00:18:57.190
Got it. And finally, the repeatability coefficient.

00:18:57.809 --> 00:18:59.589
This gives you a practical number. It tells you

00:18:59.589 --> 00:19:01.390
how much difference you'd expect to see between

00:19:01.390 --> 00:19:03.210
two measurements made by the same person using

00:19:03.210 --> 00:19:06.599
the same method. 95 % of the time. A smaller

00:19:06.599 --> 00:19:08.880
number means better repeatability, higher precision.

00:19:09.480 --> 00:19:11.880
So t -test for significance, bland Altman for

00:19:11.880 --> 00:19:14.839
agreement spread, ICC for overall reliability,

00:19:15.480 --> 00:19:17.480
and repeatability for single user precision.

00:19:17.579 --> 00:19:19.859
That's comprehensive. It really is. And one more

00:19:19.859 --> 00:19:23.140
crucial thing. They defined beforehand what they

00:19:23.140 --> 00:19:25.990
considered clinically significant. Ah, not just

00:19:25.990 --> 00:19:28.109
statistically significant, but actually mattering

00:19:28.109 --> 00:19:30.970
in practice. Exactly. For this study, they set

00:19:30.970 --> 00:19:33.190
that threshold at a difference greater than plus

00:19:33.190 --> 00:19:35.930
or minus five degrees between methods. Five degrees.

00:19:36.009 --> 00:19:38.690
Why five? That's generally considered a threshold

00:19:38.690 --> 00:19:41.029
in orthopedics, where the difference is large

00:19:41.029 --> 00:19:43.369
enough that it might actually change the surgeon's

00:19:43.369 --> 00:19:46.660
plan, affect implant choice, positioning strategy

00:19:46.660 --> 00:19:48.799
and potentially impact the patient's outcome.

00:19:48.940 --> 00:19:51.119
Okay. So they had a clear line in the sand for

00:19:51.119 --> 00:19:54.319
what really matters clinically. Yes. It allows

00:19:54.319 --> 00:19:56.880
them to interpret the statistical results in

00:19:56.880 --> 00:19:59.440
a really practical, meaningful way for surgeons

00:19:59.440 --> 00:20:01.319
and patients. All right. The moment of truth.

00:20:01.680 --> 00:20:04.220
They did all this careful work. What did the

00:20:04.220 --> 00:20:06.519
numbers actually show? Let's start with the average

00:20:06.519 --> 00:20:09.720
differences. Friedman versus ellipse. OK, so

00:20:09.720 --> 00:20:12.339
the average glenoid version measured by the traditional

00:20:12.339 --> 00:20:15.880
Friedman method was maggots of 3 .11 degrees.

00:20:16.299 --> 00:20:18.400
That negative means retroversion tilted slightly

00:20:18.400 --> 00:20:22.759
back. OK, average Friedman minus 3 .11. The average

00:20:22.759 --> 00:20:24.819
measured by the ellipse method using observer

00:20:24.819 --> 00:20:28.420
1's data was minus the 1 .95 degrees retroversion.

00:20:28.779 --> 00:20:31.779
Minus 1 .95, so slightly less retroverted on

00:20:31.779 --> 00:20:34.299
average with the ellipse method. On average,

00:20:34.559 --> 00:20:37.349
yes. The mean difference between Ellipse and

00:20:37.349 --> 00:20:40.289
Friedman was 1 .16 degrees. And statistically,

00:20:40.869 --> 00:20:42.869
this difference was significant. The p -value

00:20:42.869 --> 00:20:47.190
was 0 .002. OK, 1 .16 degrees difference on average,

00:20:47.450 --> 00:20:50.549
and statistically significant. But you hinted

00:20:50.549 --> 00:20:52.609
earlier that the average isn't the full story,

00:20:52.789 --> 00:20:55.130
right? Not even close. This is exactly where

00:20:55.130 --> 00:20:57.710
it gets really interesting and why those bland

00:20:57.710 --> 00:21:01.289
Altman plots are so vital. That 1 .16 degree

00:21:01.289 --> 00:21:03.410
average difference. Honestly, it might sound

00:21:03.410 --> 00:21:05.450
pretty small. Maybe not clinically huge on its

00:21:05.450 --> 00:21:07.470
own. Yeah, you might think, okay, about a degree,

00:21:07.549 --> 00:21:10.269
maybe not a disaster. Right. But that average

00:21:10.269 --> 00:21:12.349
hides the spread. It tells you nothing about

00:21:12.349 --> 00:21:14.809
how much the methods might disagree for an individual

00:21:14.809 --> 00:21:16.869
patient. And that's where the blind Altman plot

00:21:16.869 --> 00:21:18.849
comes in, comparing Ellipse versus Friedman.

00:21:19.009 --> 00:21:21.319
Exactly. And the results there were... Well,

00:21:21.359 --> 00:21:23.859
quite startling, actually. The 95 % limits of

00:21:23.859 --> 00:21:26.619
agreement were huge. They ranged from minus 6

00:21:26.619 --> 00:21:30.539
.15 degrees all the way up to plus 8 .46 degrees.

00:21:30.900 --> 00:21:33.319
Oh, minus 6 to plus 8 .5. What does that mean,

00:21:33.440 --> 00:21:36.779
practically? It means. OK, let's say the ellipse

00:21:36.779 --> 00:21:39.599
method measures a patient's glenoid at exactly

00:21:39.599 --> 00:21:42.730
0 degrees version. The Bland -Altman plot tells

00:21:42.730 --> 00:21:45.410
us that for that same patient, the Friedman method

00:21:45.410 --> 00:21:48.549
could, 95 % of the time, report value anywhere

00:21:48.549 --> 00:21:52.849
between meganis 6 .15 degrees and plus 8 .46

00:21:52.849 --> 00:21:55.369
degrees. That's a potential range of almost 15

00:21:55.369 --> 00:21:57.549
degrees for the same shoulder, depending only

00:21:57.549 --> 00:22:00.589
on which method you used. Precisely. That represents,

00:22:01.049 --> 00:22:03.410
in the author's words, and by any clinical standard,

00:22:04.069 --> 00:22:07.140
poor... agreement. The two methods might be close

00:22:07.140 --> 00:22:09.319
on average, but for any given patient, they could

00:22:09.319 --> 00:22:11.559
give you wildly different numbers. And that could

00:22:11.559 --> 00:22:13.380
lead to totally different surgical decisions

00:22:13.380 --> 00:22:15.480
for the same person. Absolutely. And remember

00:22:15.480 --> 00:22:17.700
that five degree threshold for clinical significance.

00:22:17.859 --> 00:22:20.440
Yeah. The study found that in 16 % of the patients,

00:22:20.819 --> 00:22:23.500
16 out of 100, the difference between the ellipse

00:22:23.500 --> 00:22:25.059
measurement and the Friedman measurement was

00:22:25.059 --> 00:22:28.779
more than five degrees. 16%. Nearly one in five

00:22:28.779 --> 00:22:30.960
patients had a clinically significant difference

00:22:30.960 --> 00:22:33.740
depending on the method used. Yes. For almost

00:22:33.740 --> 00:22:36.160
a fifth of these patients, the choice of measurement

00:22:36.160 --> 00:22:38.099
method could have directly led to a different

00:22:38.099 --> 00:22:40.720
surgical plan, potentially impacting their outcome.

00:22:41.240 --> 00:22:43.500
It really drives home how much finding a consistent

00:22:43.500 --> 00:22:46.339
method matters. Wow. Okay, so poor agreement

00:22:46.339 --> 00:22:48.759
between the methods, but how did the ellipse

00:22:48.759 --> 00:22:50.519
method perform on its own? You mentioned they

00:22:50.519 --> 00:22:53.819
tested its internal consistency. Ah, now that's

00:22:53.819 --> 00:22:56.779
where the story flips. In stark contrast to the

00:22:56.779 --> 00:22:58.720
poor agreement with Friedman, the ellipse method

00:22:58.720 --> 00:23:01.380
showed excellent reliability and reproducibility,

00:23:01.799 --> 00:23:04.319
both between observers and within the same observer.

00:23:04.440 --> 00:23:06.119
Okay, let's break that down. First, between the

00:23:06.119 --> 00:23:08.519
two observers, interrater reliability. Right.

00:23:08.920 --> 00:23:11.400
Comparing observer 1 and observer 2, using the

00:23:11.400 --> 00:23:13.420
ellipse method, the mean difference between them

00:23:13.420 --> 00:23:18.140
was tiny. It's just... 0 .063 degrees, not statistically

00:23:18.140 --> 00:23:20.160
significant at all. Basically, they got the same

00:23:20.160 --> 00:23:22.880
average result. Good start. And the bland Altman

00:23:22.880 --> 00:23:25.299
limits for ellipse between observers? Were they

00:23:25.299 --> 00:23:28.980
wide, like before? Remarkably narrow. The 95

00:23:28.980 --> 00:23:32.400
% limits of agreement were only 1 .98 to plus

00:23:32.400 --> 00:23:36.640
2 .0 degrees. Minus 2 to plus 2. So 95 % of the

00:23:36.640 --> 00:23:40.059
time, two different surgeons using the ellipse

00:23:40.059 --> 00:23:42.890
method would get a result within about two degrees

00:23:42.890 --> 00:23:44.589
of each other for the same patient. Exactly.

00:23:44.710 --> 00:23:46.849
That's excellent agreement. Much, much better

00:23:46.849 --> 00:23:49.690
than the nearly 15 degree range we saw when comparing

00:23:49.690 --> 00:23:52.210
with Friedman. Okay. And the ICC value for that?

00:23:52.529 --> 00:23:54.829
The interclass correlation coefficient for iterator

00:23:54.829 --> 00:23:59.410
agreement was 0 .993. 0 .993. That's way above

00:23:59.410 --> 00:24:02.069
the 0 .90 threshold for excellent. Absolutely.

00:24:02.470 --> 00:24:04.529
It indicates excellent reproducibility between

00:24:04.529 --> 00:24:06.690
different users. Fantastic. Okay, now what about

00:24:06.690 --> 00:24:09.569
iterator? The same observer measuring twice a

00:24:09.569 --> 00:24:11.839
month apart. Even better, actually. Observer

00:24:11.839 --> 00:24:14.380
1, measuring the same scans twice with the ellipse

00:24:14.380 --> 00:24:16.759
method. The mean difference was minuscule. 9

00:24:16.759 --> 00:24:19.799
is 0 .8 or 41 degrees. Again, not statistically

00:24:19.799 --> 00:24:21.839
significant. Almost zero difference on average.

00:24:22.000 --> 00:24:24.480
Pretty much. And then 95 % limits of agreement.

00:24:24.640 --> 00:24:27.720
Even tighter. From 9 is .98 degrees to plus .90

00:24:27.720 --> 00:24:31.180
degrees. Less than one degree variation 95 %

00:24:31.180 --> 00:24:33.359
of the time if the same person measures again.

00:24:33.599 --> 00:24:35.500
Incredible, isn't it? That's superb precision.

00:24:36.000 --> 00:24:38.160
And the repeatability coefficient confirmed this.

00:24:38.319 --> 00:24:42.559
It was 0 .94 degrees, meaning 95 % of repeated

00:24:42.559 --> 00:24:45.019
measurements by the same person will differ by

00:24:45.019 --> 00:24:48.400
less than one degree. Wow. And the ICC for IntraRater?

00:24:48.779 --> 00:24:51.559
Almost perfect. 0 .999. OK, so to summarize,

00:24:52.000 --> 00:24:55.170
ellipse versus Friedman. Poor agreement, potentially

00:24:55.170 --> 00:24:57.549
large clinically significant differences, but

00:24:57.549 --> 00:24:59.529
ellipse versus ellipse, whether between users

00:24:59.529 --> 00:25:02.910
or by the same user over time. Excellent agreement,

00:25:03.109 --> 00:25:05.690
highly reproducible, very precise. That's the

00:25:05.690 --> 00:25:08.069
core finding in a nutshell. The ellipse method

00:25:08.069 --> 00:25:10.230
demonstrated a level of reliability that the

00:25:10.230 --> 00:25:12.269
traditional Friedman method simply couldn't match

00:25:12.269 --> 00:25:14.490
in this study. So this really raises the question,

00:25:14.529 --> 00:25:17.809
doesn't it? What could this level of proven precision

00:25:17.809 --> 00:25:20.869
mean for actual shoulder surgery moving forward?

00:25:21.049 --> 00:25:23.970
It suggests we now have a tool, a method, that

00:25:23.970 --> 00:25:26.289
can provide a much more trustworthy and consistent

00:25:26.289 --> 00:25:28.789
number for that critical glenoid version angle.

00:25:29.210 --> 00:25:31.430
You can standardize planning, reduce variability

00:25:31.430 --> 00:25:34.049
between surgeons, and give everyone more confidence

00:25:34.049 --> 00:25:36.670
in that initial assessment. And that confidence

00:25:36.670 --> 00:25:39.869
should, hopefully, translate into better surgical

00:25:39.869 --> 00:25:42.569
execution and, ultimately, better patient outcomes.

00:25:43.039 --> 00:25:45.619
Okay, let's zoom out a bit. Let's talk broader

00:25:45.619 --> 00:25:48.599
context and really hammer home the so what of

00:25:48.599 --> 00:25:51.339
all this The main message from the paper then

00:25:51.339 --> 00:25:54.400
isn't just here's a new method It's that the

00:25:54.400 --> 00:25:57.180
real breakthrough is having a reliable way to

00:25:57.180 --> 00:25:59.839
find that mid glenoid level, right? That's what

00:25:59.839 --> 00:26:02.460
the authors including professor Imam in his writing

00:26:02.460 --> 00:26:05.640
really emphasize They call consistently defining

00:26:05.640 --> 00:26:08.279
that mid glenoid level the most important step

00:26:08.279 --> 00:26:10.819
for getting accurate 2d CT measurements of version

00:26:10.819 --> 00:26:13.579
and it's so important because Other ways of trying

00:26:13.579 --> 00:26:15.359
to find it, like just counting slices down from

00:26:15.359 --> 00:26:16.920
the top or something. Yeah. They just weren't

00:26:16.920 --> 00:26:19.220
reliable enough. Exactly. The paper cites another

00:26:19.220 --> 00:26:22.319
study, Vandebunt et al., from 2015, that tried

00:26:22.319 --> 00:26:25.440
a slice counting method. Their ICC for reliability,

00:26:25.779 --> 00:26:31.059
only .70. .70 versus the ellipse method's .993

00:26:31.059 --> 00:26:34.380
between observers. That's a night and day difference

00:26:34.380 --> 00:26:37.720
in reliability. It really is. It shows the ellipse

00:26:37.720 --> 00:26:40.779
method isn't just a small tweak. It's a significant

00:26:40.779 --> 00:26:44.269
leap in consistency. It takes the ambiguity out

00:26:44.269 --> 00:26:46.589
of where you measure, ensuring everyone's looking

00:26:46.589 --> 00:26:49.130
at the same anatomically relevant spot. Right.

00:26:49.269 --> 00:26:51.190
Getting everyone on the same page measurement

00:26:51.190 --> 00:26:53.769
-wise. And this touches on something else. The

00:26:53.769 --> 00:26:55.650
paper highlights the importance of using the

00:26:55.650 --> 00:26:58.349
right statistical tools and using them together.

00:26:58.509 --> 00:27:01.910
The Bland -Altman plots and the ICCs. Yes. Professor

00:27:01.910 --> 00:27:03.990
Imam and his co -authors stress this point in

00:27:03.990 --> 00:27:06.289
the manuscript. The Bland -Altman shows you the

00:27:06.289 --> 00:27:08.509
side of the differences, the practical agreement.

00:27:08.890 --> 00:27:11.509
The ICC gives you that overall reliability number.

00:27:11.660 --> 00:27:14.380
Using both gives you a much better picture of

00:27:14.380 --> 00:27:17.000
the true reliability. So you see not just if

00:27:17.000 --> 00:27:19.099
they're correlated, but how well they actually

00:27:19.099 --> 00:27:21.859
agree within limits that matter clinically. Precisely.

00:27:22.220 --> 00:27:24.680
It's about robust science. Not just finding a

00:27:24.680 --> 00:27:26.980
difference, but understanding its magnitude and

00:27:26.980 --> 00:27:29.720
consistency. That kind of methodological rigor

00:27:29.720 --> 00:27:32.380
is just as important as the clinical idea itself.

00:27:33.000 --> 00:27:35.380
Absolutely. And you mentioned this study's reliability

00:27:35.380 --> 00:27:37.599
for the ellipse method was better than what other

00:27:37.599 --> 00:27:39.599
studies found when comparing Friedman to other

00:27:39.599 --> 00:27:42.759
methods like Randellis or the vault method. That's

00:27:42.759 --> 00:27:45.680
right. Comparing the ICCs reported here for the

00:27:45.680 --> 00:27:49.039
ellipse method, those high 0 .99 values, with

00:27:49.039 --> 00:27:52.420
ICCs reported in studies by Rouleau et al. comparing

00:27:52.420 --> 00:27:54.980
Friedman and Randalli, or Mezzimora at all, comparing

00:27:54.980 --> 00:27:57.519
Friedman and Valt, the ellipse method demonstrated

00:27:57.519 --> 00:28:00.339
superior consistency in this particular investigation.

00:28:00.880 --> 00:28:03.900
It really seems to set a new benchmark for 2D

00:28:03.900 --> 00:28:06.640
measurement liability. OK. But what about 3D?

00:28:06.880 --> 00:28:09.500
We hear a lot about 3D planning and surgery now.

00:28:10.299 --> 00:28:13.000
Does this 2D ellipse method still matter in the

00:28:13.000 --> 00:28:15.289
age of 3D? That's a really important question.

00:28:15.650 --> 00:28:17.609
And the paper acknowledges 3D reconstruction.

00:28:17.809 --> 00:28:19.950
For really complex cases, severe deformities,

00:28:20.170 --> 00:28:21.990
3D planning is often seen as the benchmark. It

00:28:21.990 --> 00:28:24.809
gives you that full volumetric picture. But it

00:28:24.809 --> 00:28:27.789
has limitations for routine, everyday use right

00:28:27.789 --> 00:28:29.970
now. It's generally expensive, needs special

00:28:29.970 --> 00:28:32.869
software, powerful computers. It requires significant

00:28:32.869 --> 00:28:35.630
training and expertise to use properly. OK. Cost

00:28:35.630 --> 00:28:38.710
and training hurdles. And even with 3D, there's

00:28:38.710 --> 00:28:41.660
still user variability. The surgeon still has

00:28:41.660 --> 00:28:44.140
to define reference points and axes on the 3D

00:28:44.140 --> 00:28:47.279
model, which can introduce inconsistencies. Ah,

00:28:47.500 --> 00:28:49.960
so 3D isn't automatically perfect either. Not

00:28:49.960 --> 00:28:52.799
necessarily. And maybe the biggest point is the

00:28:52.799 --> 00:28:55.859
direct link between using 3D planning and actually

00:28:55.859 --> 00:28:58.119
achieving better long -term clinical outcomes

00:28:58.119 --> 00:29:00.880
for patients, like lower revision rates, better

00:29:00.880 --> 00:29:03.940
function scores, years later that link. still

00:29:03.940 --> 00:29:06.619
needs more robust, independent proof across the

00:29:06.619 --> 00:29:08.859
board. So the jury's still out on whether 3D

00:29:08.859 --> 00:29:11.119
consistently leads to better results yet? The

00:29:11.119 --> 00:29:13.240
evidence is still building. And until we have

00:29:13.240 --> 00:29:15.779
that definitive proof, and maybe until 3D becomes

00:29:15.779 --> 00:29:18.400
more accessible and standardized, having a really

00:29:18.400 --> 00:29:21.119
accurate, reliable 2D measurement, a precise

00:29:21.119 --> 00:29:23.220
numerical angle remains incredibly important.

00:29:23.420 --> 00:29:26.220
Why? Why keep focusing on the 2D number? For

00:29:26.220 --> 00:29:28.839
clear communication between surgeons. For comparing

00:29:28.839 --> 00:29:31.359
results in research studies effectively. for

00:29:31.359 --> 00:29:34.140
tracking outcomes over time. You need that consistent,

00:29:34.480 --> 00:29:36.859
quantifiable angle. And that's exactly what the

00:29:36.859 --> 00:29:39.519
highly reliable ellipse method provides. It fills

00:29:39.519 --> 00:29:42.420
a crucial need, even as 3D evolves. Okay, that

00:29:42.420 --> 00:29:45.339
makes sense. So, let's boil it down. What's the

00:29:45.339 --> 00:29:48.519
absolute core take -home message from Professor

00:29:48.519 --> 00:29:51.460
Imam and the other authors of this paper? They

00:29:51.460 --> 00:29:55.309
really drive home three key points. One... Getting

00:29:55.309 --> 00:29:57.289
that preoperative glenoid version measurement

00:29:57.289 --> 00:30:00.230
right is absolutely crucial for planning and

00:30:00.230 --> 00:30:03.250
executing a successful TSA. It's foundational.

00:30:03.650 --> 00:30:06.529
Non -negotiable first step. Two, if you have

00:30:06.529 --> 00:30:08.829
a good quality CT scan that includes the whole

00:30:08.829 --> 00:30:12.190
scapula and is properly reformatted in the scapular

00:30:12.190 --> 00:30:15.210
plane, the ellipse method is a highly reproducible

00:30:15.210 --> 00:30:18.029
and reliable way to find the true mid -glenoid

00:30:18.029 --> 00:30:20.970
level. That's its unique strength. Reliable identification

00:30:20.970 --> 00:30:23.630
of the mid -glenoid. And three, Measuring version

00:30:23.630 --> 00:30:26.450
at that specific mid -glenoid level refines the

00:30:26.450 --> 00:30:28.609
old Friedman method. It gives you an accurate

00:30:28.609 --> 00:30:30.890
2D angle measurement, plus it crucially shows

00:30:30.890 --> 00:30:33.369
the surgeon the ideal spot for that central guide

00:30:33.369 --> 00:30:35.410
wire during surgery. It offers that valuable

00:30:35.410 --> 00:30:37.990
intraoperative corroboration. So better planning

00:30:37.990 --> 00:30:40.190
and more confidence during the actual operation.

00:30:40.390 --> 00:30:42.250
That's the promise. Precision translating into

00:30:42.250 --> 00:30:44.849
practice. Now good science always acknowledges

00:30:44.849 --> 00:30:47.410
its limits, and this study is no exception. The

00:30:47.410 --> 00:30:49.589
authors are upfront about the limitations. OK,

00:30:49.750 --> 00:30:51.450
what are the main ones we should keep in mind?

00:30:51.789 --> 00:30:54.930
Well, first and foremost, this all hinges on

00:30:54.930 --> 00:30:58.589
having that CT scan correctly oriented and reformatted

00:30:58.589 --> 00:31:00.750
in the scapular plane to begin with. Right, the

00:31:00.750 --> 00:31:03.289
foundational step we talked about. Exactly. If

00:31:03.289 --> 00:31:06.349
that basic requirement isn't met, if the initial

00:31:06.349 --> 00:31:09.630
imaging isn't done right, then even the ellipse

00:31:09.630 --> 00:31:11.730
method will give you an erroneous measurement.

00:31:12.410 --> 00:31:15.210
It's not magic. It relies on good data in. So

00:31:15.210 --> 00:31:17.710
the quality of the initial scan is paramount.

00:31:17.819 --> 00:31:20.480
That could be a practical hurdle for widespread

00:31:20.480 --> 00:31:23.039
use if imaging protocols aren't standardized

00:31:23.039 --> 00:31:26.000
everywhere. It certainly could be. It highlights

00:31:26.000 --> 00:31:28.640
the need for consistent, high -quality imaging

00:31:28.640 --> 00:31:30.539
standards if we want to leverage methods like

00:31:30.539 --> 00:31:33.359
this effectively across different hospitals and

00:31:33.359 --> 00:31:35.920
clinics. Okay. What else? The study was retrospective.

00:31:35.960 --> 00:31:38.039
They looked back at past data. Right. So they

00:31:38.039 --> 00:31:40.359
couldn't directly compare patient outcomes. Correct.

00:31:40.509 --> 00:31:42.210
Because they were looking at scans that had already

00:31:42.210 --> 00:31:44.430
been done, they couldn't say, OK, group A was

00:31:44.430 --> 00:31:46.569
planned with ellipse, group B with Friedman,

00:31:46.589 --> 00:31:48.789
and group A had fewer revisions five years later.

00:31:49.250 --> 00:31:51.609
They could only assess the reliability of the

00:31:51.609 --> 00:31:53.890
measurements themselves. But they do argue that

00:31:53.890 --> 00:31:56.390
better planning generally leads to better outcomes,

00:31:56.390 --> 00:31:59.710
right? Yes. There's a strong consensus in orthopedics

00:31:59.710 --> 00:32:02.910
that accurate planning improves results. But

00:32:02.910 --> 00:32:05.349
to directly prove that the ellipse method causes

00:32:05.349 --> 00:32:08.430
better long -term outcomes would require a future

00:32:08.430 --> 00:32:10.980
prospective study. Following patients forward

00:32:10.980 --> 00:32:13.900
in time. Exactly. Comparing groups planned with

00:32:13.900 --> 00:32:15.559
different methods and tracking their function,

00:32:16.140 --> 00:32:18.740
pain scores, implant survival rates over several

00:32:18.740 --> 00:32:21.380
years. That's the next logical step in research.

00:32:21.680 --> 00:32:24.660
Got it. Any other limitations or maybe strengths

00:32:24.660 --> 00:32:27.319
to balance those? A key strength was that they

00:32:27.319 --> 00:32:30.019
used consecutive CT scans. They didn't cherry

00:32:30.019 --> 00:32:32.700
pick easy or hard cases. They took the scans

00:32:32.700 --> 00:32:35.539
as they came. representing the real mix of patients'

00:32:35.779 --> 00:32:38.539
assurgencies. That makes the findings on measurement

00:32:38.539 --> 00:32:41.539
reliability much more generalizable. So it reflects

00:32:41.539 --> 00:32:44.420
real -world practice better. Yes. And they also

00:32:44.420 --> 00:32:46.660
noted that the ellipse method seemed usable even

00:32:46.660 --> 00:32:48.819
when the glenoid was significantly deformed,

00:32:49.140 --> 00:32:51.619
which adds to its potential versatility. Okay.

00:32:52.000 --> 00:32:55.109
So, thinking about all this... What does it mean

00:32:55.109 --> 00:32:57.970
for you, the listener, looking ahead? We've seen

00:32:57.970 --> 00:33:00.990
how this, well, quite elegant refinement in measurement,

00:33:01.430 --> 00:33:03.849
driven by clinical need and rigorous research

00:33:03.849 --> 00:33:06.690
involving experts like Professor Imam, can boost

00:33:06.690 --> 00:33:09.650
precision. Where does that lead? Well, you start

00:33:09.650 --> 00:33:11.329
to think about the knock -on effects, don't you?

00:33:11.430 --> 00:33:14.190
Like how it might change training. Could this

00:33:14.190 --> 00:33:16.430
become the standard way orthopedic residents

00:33:16.430 --> 00:33:19.430
are taught to assess glenoid version, making

00:33:19.430 --> 00:33:22.049
this level of precision just standard practice

00:33:22.049 --> 00:33:24.069
from day one? It certainly could influence curriculum

00:33:24.069 --> 00:33:26.710
development, yeah. Standardizing the approach.

00:33:26.930 --> 00:33:29.450
Then what about technology? Could this method

00:33:29.450 --> 00:33:32.309
be built into surgical planning software? Maybe

00:33:32.309 --> 00:33:34.730
even automated with AI to measure a version super

00:33:34.730 --> 00:33:37.150
consistently, taking human variability out even

00:33:37.150 --> 00:33:39.730
further? That's a definite possibility. Integrating

00:33:39.730 --> 00:33:42.130
validated, reliable methods into software is

00:33:42.130 --> 00:33:45.529
a clear pathway for innovation, reducing potential

00:33:45.529 --> 00:33:48.730
for error. And the big picture. If this leads

00:33:48.730 --> 00:33:51.410
to more accurate surgery, fewer implants failing

00:33:51.410 --> 00:33:53.650
early, what about the savings for health care

00:33:53.650 --> 00:33:55.869
systems, fewer expensive revision surgeries?

00:33:56.210 --> 00:33:58.430
That's a potential long -term benefit. Absolutely.

00:33:58.829 --> 00:34:01.450
Better outcomes often mean lower overall costs

00:34:01.450 --> 00:34:03.990
down the line. So it leaves you wondering, doesn't

00:34:03.990 --> 00:34:06.029
it? What's the next piece of research you'd want

00:34:06.029 --> 00:34:09.800
to see? Is it that direct link to patient outcomes?

00:34:10.099 --> 00:34:13.079
Studies quantifying fewer revisions, faster recovery,

00:34:13.639 --> 00:34:15.780
better long -term comfort, specifically because

00:34:15.780 --> 00:34:18.079
the ellipse method was used. Those outcome studies

00:34:18.079 --> 00:34:20.739
are definitely key. Connecting the improved measurement

00:34:20.739 --> 00:34:23.719
directly to improve patient lives is the ultimate

00:34:23.719 --> 00:34:26.340
goal. It really shows how this constant push

00:34:26.340 --> 00:34:28.639
for precision, even in something as specific

00:34:28.639 --> 00:34:31.099
as measuring an angle, is what drives medicine

00:34:31.099 --> 00:34:34.260
forward, aiming for that perfect outcome one

00:34:34.260 --> 00:34:36.539
step at a time. Well, that was a truly deep dive,

00:34:36.559 --> 00:34:38.860
wasn't it, into orthopedic precision, medical

00:34:38.860 --> 00:34:42.039
innovation, how research like the paper co -authored

00:34:42.039 --> 00:34:44.699
and articulated by Professor Mo Imam can take

00:34:44.699 --> 00:34:46.679
an existing method and just refine it, make it

00:34:46.679 --> 00:34:49.099
so much more reliable, potentially leading to

00:34:49.099 --> 00:34:50.719
really significant improvements for patients.

00:34:50.960 --> 00:34:52.980
Yeah, we went from understanding why glenoid

00:34:52.980 --> 00:34:55.159
loosening is such a critical issue in shoulder

00:34:55.159 --> 00:34:57.619
replacements through the problems with older

00:34:57.619 --> 00:35:00.579
measurement methods, right, to this elegant ellipse

00:35:00.579 --> 00:35:02.619
solution and what it could mean for accuracy.

00:35:02.800 --> 00:35:06.000
It's a fantastic example of how focusing on precision,

00:35:06.219 --> 00:35:08.960
even on what seems like a small detail, can have

00:35:08.960 --> 00:35:12.539
these huge downstream effects in medicine. Absolutely.

00:35:12.840 --> 00:35:15.019
That relentless pursuit of getting it right,

00:35:15.079 --> 00:35:16.960
of building a better foundation through accurate

00:35:16.960 --> 00:35:19.780
measurement, that's how patient care truly advances.

00:35:20.280 --> 00:35:22.400
one reliable step at a time. We hope you found

00:35:22.400 --> 00:35:24.639
that insightful. Join us next time for another

00:35:24.639 --> 00:35:26.800
deep dive, where we'll unpack more sources and

00:35:26.800 --> 00:35:29.059
extract those crucial insights for you. Until

00:35:29.059 --> 00:35:31.219
then, stay curious, stay informed.
