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Development and validation of an objective scoring tool to evaluate surgical dissection: Dissection Assessment for Robotic Technique (DART).
Vanstrum, Erik B; Ma, Runzhuo; Maya-Silva, Jacqueline; Sanford, Daniel; Nguyen, Jessica H; Lei, Xiaomeng; Chevinksy, Michael; Ghoreifi, Alireza; Han, Jullet; Polotti, Charles F; Powers, Ryan; Yip, Wesley; Zhang, Michael; Aron, Monish; Collins, Justin; Daneshmand, Siamak; Davis, John W; Desai, Mihir M; Gerjy, Roger; Goh, Alvin C; Kimmig, Rainer; Lendvay, Thomas S; Porter, James; Sotelo, Rene; Sundaram, Chandru P; Cen, Steven; Gill, Inderbir S; Hung, Andrew J.
Afiliação
  • Vanstrum EB; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Ma R; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Maya-Silva J; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Sanford D; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Nguyen JH; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Lei X; Department of Radiology, University of Southern California, Los Angeles, CA, USA.
  • Chevinksy M; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Ghoreifi A; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Han J; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Polotti CF; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Powers R; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Yip W; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Zhang M; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Aron M; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Collins J; University College London, London, UK.
  • Daneshmand S; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Davis JW; Department of Urology, MD Anderson Cancer Center, Houston, Texas, USA.
  • Desai MM; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Gerjy R; Department of Colorectal and General Surgery, Mohammed bin Rashid University of Medicine and Health Sciences, Dubai, UAE.
  • Goh AC; Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Centre, New York, NY, USA.
  • Kimmig R; Clinic for Obstetrics and Gynecology, Essen University Hospital, Essen, Germany.
  • Lendvay TS; Division of Pediatric Urology, Seattle Children's Hospital, Seattle, WA, USA.
  • Porter J; Department of Urology, Swedish Urology Group, Seattle, WA, USA.
  • Sotelo R; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Sundaram CP; Indiana University School of Medicine, Indianapolis, IN, USA.
  • Cen S; Department of Radiology, University of Southern California, Los Angeles, CA, USA.
  • Gill IS; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
  • Hung AJ; Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California Institute of Urology, Los Angeles, CA, USA.
Urol Pract ; 8(5): 596-604, 2021 Sep.
Article em En | MEDLINE | ID: mdl-37131998
ABSTRACT

Purpose:

Evaluation of surgical competency has important implications for training new surgeons, accreditation, and improving patient outcomes. A method to specifically evaluate dissection performance does not yet exist. This project aimed to design a tool to assess surgical dissection quality.

Methods:

Delphi method was used to validate structure and content of the dissection evaluation. A multi-institutional and multi-disciplinary panel of 14 expert surgeons systematically evaluated each element of the dissection tool. Ten blinded reviewers evaluated 46 de-identified videos of pelvic lymph node and seminal vesicle dissections during the robot-assisted radical prostatectomy. Inter-rater variability was calculated using prevalence-adjusted and bias-adjusted kappa. The area under the curve from receiver operating characteristic curve was used to assess discrimination power for overall DART scores as well as domains in discriminating trainees (≤100 robotic cases) from experts (>100).

Results:

Four rounds of Delphi method achieved language and content validity in 27/28 elements. Use of 3- or 5-point scale remained contested; thus, both scales were evaluated during validation. The 3-point scale showed improved kappa for each domain. Experts demonstrated significantly greater total scores on both scales (3-point, p< 0.001; 5-point, p< 0.001). The ability to distinguish experience was equivalent for total score on both scales (3-point AUC= 0.92, CI 0.82-1.00, 5-point AUC= 0.92, CI 0.83-1.00).

Conclusions:

We present the development and validation of Dissection Assessment for Robotic Technique (DART), an objective and reproducible 3-point surgical assessment to evaluate tissue dissection. DART can effectively differentiate levels of surgeon experience and can be used in multiple surgical steps.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article