Improved Efficiency and Intraoperative Planning With 1 Robot-Assisted Total Knee Arthroplasty System

IF 1.5 Q3 ORTHOPEDICS
Dalton L. Braathen BS, Cameron Wallace MD, Ian M. Clapp MD, MS, Brenna E. Blackburn PhD, Christopher L. Peters MD, Michael J. Archibeck MD
{"title":"Improved Efficiency and Intraoperative Planning With 1 Robot-Assisted Total Knee Arthroplasty System","authors":"Dalton L. Braathen BS,&nbsp;Cameron Wallace MD,&nbsp;Ian M. Clapp MD, MS,&nbsp;Brenna E. Blackburn PhD,&nbsp;Christopher L. Peters MD,&nbsp;Michael J. Archibeck MD","doi":"10.1016/j.artd.2025.101684","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Robotic-assisted total knee arthroplasty (rTKA) has garnered significant interest for its potential to enhance surgical precision and accuracy. However, the adoption of such systems poses concerns, including longer operative times and learning curves, potentially reducing efficiency. This study aimed to evaluate the learning curve associated with the Robotic Surgical Assistant (ROSA) system for rTKA.</div></div><div><h3>Methods</h3><div>This retrospective review analyzed the first 75 ROSA rTKA procedures performed by each of 2 fellowship-trained arthroplasty surgeons (150 total procedures) at a high-volume institution. Time stamps within the robotic software were recorded for each case, along with tourniquet time. Statistical analyses included descriptive statistics, <em>t</em>-tests, and multilevel regression.</div></div><div><h3>Results</h3><div>Comparison of each surgeon's first 20 and last 20 cases revealed significant decreases in tourniquet time (61.4-56.7 minutes; <em>P</em> = .0417) and planning time (13.49-6.68 minutes; <em>P</em> = .0078). Landmark femur and tibia times remained stable (<em>P</em> = .6542 and <em>P</em> = .9440). Knee state evaluation time showed a trend of reduction from 9.22 to 7.33 minutes (<em>P</em> = .1335), and resection time from 13.66 to 12.92 minutes (<em>P</em> = .4372). Regression analysis indicated significant reductions in tourniquet time (β = −0.11; <em>P</em> = .0089) and planning time (β = −0.08; <em>P</em> = .0064).</div></div><div><h3>Conclusions</h3><div>This study demonstrates that execution of ROSA rTKA becomes more efficient over the first 75 cases. The greatest improvement with experience is the time spent on the planning panel, the cognitive portion of the procedure. These data provide surgeons with the confidence that the technical portions of the case are quick to learn and guide industry to focus on teaching effective adjustments on the planning panel.</div></div>","PeriodicalId":37940,"journal":{"name":"Arthroplasty Today","volume":"33 ","pages":"Article 101684"},"PeriodicalIF":1.5000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arthroplasty Today","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352344125000718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Robotic-assisted total knee arthroplasty (rTKA) has garnered significant interest for its potential to enhance surgical precision and accuracy. However, the adoption of such systems poses concerns, including longer operative times and learning curves, potentially reducing efficiency. This study aimed to evaluate the learning curve associated with the Robotic Surgical Assistant (ROSA) system for rTKA.

Methods

This retrospective review analyzed the first 75 ROSA rTKA procedures performed by each of 2 fellowship-trained arthroplasty surgeons (150 total procedures) at a high-volume institution. Time stamps within the robotic software were recorded for each case, along with tourniquet time. Statistical analyses included descriptive statistics, t-tests, and multilevel regression.

Results

Comparison of each surgeon's first 20 and last 20 cases revealed significant decreases in tourniquet time (61.4-56.7 minutes; P = .0417) and planning time (13.49-6.68 minutes; P = .0078). Landmark femur and tibia times remained stable (P = .6542 and P = .9440). Knee state evaluation time showed a trend of reduction from 9.22 to 7.33 minutes (P = .1335), and resection time from 13.66 to 12.92 minutes (P = .4372). Regression analysis indicated significant reductions in tourniquet time (β = −0.11; P = .0089) and planning time (β = −0.08; P = .0064).

Conclusions

This study demonstrates that execution of ROSA rTKA becomes more efficient over the first 75 cases. The greatest improvement with experience is the time spent on the planning panel, the cognitive portion of the procedure. These data provide surgeons with the confidence that the technical portions of the case are quick to learn and guide industry to focus on teaching effective adjustments on the planning panel.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Arthroplasty Today
Arthroplasty Today Medicine-Surgery
CiteScore
2.90
自引率
0.00%
发文量
258
审稿时长
40 weeks
期刊介绍: Arthroplasty Today is a companion journal to the Journal of Arthroplasty. The journal Arthroplasty Today brings together the clinical and scientific foundations for joint replacement of the hip and knee in an open-access, online format. Arthroplasty Today solicits manuscripts of the highest quality from all areas of scientific endeavor that relate to joint replacement or the treatment of its complications, including those dealing with patient outcomes, economic and policy issues, prosthetic design, biomechanics, biomaterials, and biologic response to arthroplasty. The journal focuses on case reports. It is the purpose of Arthroplasty Today to present material to practicing orthopaedic surgeons that will keep them abreast of developments in the field, prove useful in the care of patients, and aid in understanding the scientific foundation of this subspecialty area of joint replacement. The international members of the Editorial Board provide a worldwide perspective for the journal''s area of interest. Their participation ensures that each issue of Arthroplasty Today provides the reader with timely, peer-reviewed articles of the highest quality.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信