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Anatomic Total Shoulder Arthroplasty: Component Size Prediction with 3-Dimensional Pre-Operative Digital Planning
by
Weick, Jack W.
, Freehill, Michael T.
, Ponce, Brent A.
, Ruffino, Bethany
, Robbins, Chris
, Costouros, John G.
, Bedi, Asheesh
, Warner, Jon JP
, Prete, Alexander M.
, Haas, Derek
in
Joint replacement surgery
/ Original Scientific Research
/ Shoulder
/ Transplants & implants
2022
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Anatomic Total Shoulder Arthroplasty: Component Size Prediction with 3-Dimensional Pre-Operative Digital Planning
by
Weick, Jack W.
, Freehill, Michael T.
, Ponce, Brent A.
, Ruffino, Bethany
, Robbins, Chris
, Costouros, John G.
, Bedi, Asheesh
, Warner, Jon JP
, Prete, Alexander M.
, Haas, Derek
in
Joint replacement surgery
/ Original Scientific Research
/ Shoulder
/ Transplants & implants
2022
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Anatomic Total Shoulder Arthroplasty: Component Size Prediction with 3-Dimensional Pre-Operative Digital Planning
by
Weick, Jack W.
, Freehill, Michael T.
, Ponce, Brent A.
, Ruffino, Bethany
, Robbins, Chris
, Costouros, John G.
, Bedi, Asheesh
, Warner, Jon JP
, Prete, Alexander M.
, Haas, Derek
in
Joint replacement surgery
/ Original Scientific Research
/ Shoulder
/ Transplants & implants
2022
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Anatomic Total Shoulder Arthroplasty: Component Size Prediction with 3-Dimensional Pre-Operative Digital Planning
Journal Article
Anatomic Total Shoulder Arthroplasty: Component Size Prediction with 3-Dimensional Pre-Operative Digital Planning
2022
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Overview
Background
The rate, complexity, and cost of total shoulder arthroplasty (TSA) continues to grow. Technology has advanced pre-operative templating. Reducing cost of TSA has positive impact for the patient, manufacturer, and hospital. The aim of this study was to evaluate the accuracy of implant size selection based on 3-D templating. Our hypothesis was that pre-operative templating would enable accurate implant prediction within one size.
Methods
Multicenter retrospective study of anatomic TSAs templated utilizing 3-D virtual planning technology. This program uses computed tomography (CT) scans allowing the surgeon to predict component sizes of the glenoid and humeral head and stem. Pre-operative templated implant size were compared to actual implant size at the time of surgery. Primary data analysis utilized unweighted Cohen's Kappa test.
Results
111 TSAs were analyzed from five surgeons. Pre-operative templated glenoid sizes were within one size of actual implant in 99% and exactly matched in 89%. For patients requiring a posterior glenoid augment (n = 14), 100% of implants were within one size of the template and 93% matched exactly. For stemless humeral components (n = 87) implanted, 98% matched the pre-operative template within one size with 79% exactly matched. For stemmed components (n = 24), 88% of cases were within one size of the preoperative plan and exactly matching in 83%. Humeral head diameter matched within one size of the pre-operative template in 84% of cases and exactly matched in 72%.
Conclusion
Pre-operative 3-D templating for TSAs can accurately predict glenoid and humeral component size. This study sets the groundwork for utilization of pre-operative 3-D templating as a potential method to reduce overall TSA costs by managing cost of implants, reducing inventory needs, and improving surgical efficiency.
Publisher
SAGE Publications,Sage Publications Ltd,SAGE Publishing
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