Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance

Pieter De Backer
* ,
Maria Peraire Lores
,
Meret Demuynck
,
Federico Piramide
,
Jente Simoens
,
Tim Oosterlinck
,
Wouter Bogaert
,
Chi Victor Shan
ORCID logo ,
Karel Van Regemorter
ORCID logo ,
Aube Wastyn
,
Enrico Checcucci
,
Charlotte Debbaut
ORCID logo ,
Charles Van Praet
,
Rui Farinha
,
Ruben De Groote
,
Anthony Gallagher
,
Karel Decaestecker
,
Alex Mottrie
Version 1 : Received: 6 August 2023 / Approved: 7 August 2023 / Online: 7 August 2023 (10:10:57 CEST)

A peer-reviewed article of this Preprint also exists.

De Backer, P.; Peraire Lores, M.; Demuynck, M.; Piramide, F.; Simoens, J.; Oosterlinck, T.; Bogaert, W.; Shan, C.V.; Van Regemorter, K.; Wastyn, A.; Checcucci, E.; Debbaut, C.; Van Praet, C.; Farinha, R.; De Groote, R.; Gallagher, A.; Decaestecker, K.; Mottrie, A. Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance. Diagnostics 2023, 13, 3386. De Backer, P.; Peraire Lores, M.; Demuynck, M.; Piramide, F.; Simoens, J.; Oosterlinck, T.; Bogaert, W.; Shan, C.V.; Van Regemorter, K.; Wastyn, A.; Checcucci, E.; Debbaut, C.; Van Praet, C.; Farinha, R.; De Groote, R.; Gallagher, A.; Decaestecker, K.; Mottrie, A. Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance. Diagnostics 2023, 13, 3386.

Abstract

(1) Background: Surgical phases form the basic building blocks for surgical skill assessment, feedback and teaching. Phase duration itself and its correlation to clinical parameters has not yet been investigated. Novel commercial platforms provide phase indications but have not been assessed for accuracy yet. (2) Methods: We assess 100 robot-assisted partial nephrectomy videos for phase duration based on previously defined proficiency metrics. We develop an annotation framework and subsequently compare our annotations to an existing commercial solution (Touch Surgery, Medtronic™). We subsequently explore clinical correlations between phase durations and peri-operative parameters. (3) Results: Objective and uniform phase assessment requires precise definitions derived from an iterative revision process. Comparison to a commercial solution shows large differences in definitions across phases. BMI and duration of renal tumor identification correlate positively, as well as tumor complexity and both tumor excision and renorraphy duration. (4) Conclusions: Surgical phase duration can be correlated with certain clinical outcomes. Further research should investigate if retrieved correlations are also clinically meaningful. This requires increasing dataset sizes and facilitation through intelligent computer vision algorithms. Commercial platforms can facilitate this dataset expansion and help unlock the full potential, provided the disclosure of phase annotation details.

Keywords

phase duration assessment; partial nephrectomy; video analysis; surgical data science

Subject

Medicine and Pharmacology, Urology and Nephrology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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