Literature DB >> 35066636

Utilizing head-mounted eye trackers to analyze patterns and decision-making strategies of 3D virtual modelling platform (IRIS) during preoperative planning for renal cancer surgeries.

Rachel Melnyk1, Yuxin Chen2, Tyler Holler2, Nathan Schuler2, Patrick Saba2, Scott Quarrier3, Jonathan Bloom3, William Tabayoyong3, Thomas Frye3, Hani Rashid3, Jean Joseph3, Ahmed Ghazi2,3.   

Abstract

PURPOSE: IRIS™ provides interactive, 3D anatomical visualizations of renal anatomy for pre-operative planning that can be manipulated by altering transparency, rotating, zooming, panning, and overlaying the CT scan. Our objective was to analyze how eye tracking metrics and utilization patterns differ between preoperative surgical planning of renal masses using IRIS and CT scans.
METHODS: Seven surgeons randomly reviewed IRIS and CT images of 9 patients with renal masses [5 high complexity (RENAL score ≥ 8), 4 low complexity (≤ 7)]. Surgeons answered a series of questions regarding patient anatomy, perceived difficulty (/100), confidence (/100), and surgical plan. Eye tracking metrics (mean pupil diameter, number of fixations, and gaze duration) were collected.
RESULTS: Surgeons spent significantly less time interpreting data from IRIS than CT scans (- 67.1 s, p < 0.01) and had higher inter-rater agreement of surgical approach after viewing IRIS (α = 0.16-0.34). After viewing IRIS, surgical plans although not statistically significant demonstrated a greater tendency towards a more selective ischemia approaches which positively correlated with improved identification of vascular anatomy. Planned surgical approach changed in 22/59 of the cases. Compared to viewing the CT scan, left and right mean pupil diameter and number/duration of fixations were significantly lower when using IRIS (p < 0.01, p < 0.01, p = 0.42, p < 0.01, respectively), indicating interpreting information from IRIS required less mental effort despite under-utilizing its interactive features.
CONCLUSIONS: Surgeons extrapolated more detailed information in less time with less mental effort using IRIS than CT scans and proposed surgical approaches with potential to enhanced surgical outcomes.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  3D modeling; Anatomic visualization; Partial nephrectomy; Radical nephrectomy; Robotic surgery; Simulation

Mesh:

Year:  2022        PMID: 35066636     DOI: 10.1007/s00345-021-03906-z

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  11 in total

1.  Expanding the Indications of Robotic Partial Nephrectomy for Highly Complex Renal Tumors: Urologists' Perception of the Impact of Hyperaccuracy Three-Dimensional Reconstruction.

Authors:  Riccardo Bertolo; Riccardo Autorino; Cristian Fiori; Daniele Amparore; Enrico Checcucci; Alexandre Mottrie; James Porter; Georges-Pascal Haber; Ithaar Derweesh; Francesco Porpiglia
Journal:  J Laparoendosc Adv Surg Tech A       Date:  2018-11-03       Impact factor: 1.878

Review 2.  Augmented reality partial nephrectomy: examining the current status and future perspectives.

Authors:  Archie Hughes-Hallett; Erik K Mayer; Hani J Marcus; Thomas P Cundy; Philip J Pratt; Ara W Darzi; Justin A Vale
Journal:  Urology       Date:  2013-10-19       Impact factor: 2.649

Review 3.  Eye-tracking technology in medical education: A systematic review.

Authors:  Hajra Ashraf; Mikael H Sodergren; Nabeel Merali; George Mylonas; Harsimrat Singh; Ara Darzi
Journal:  Med Teach       Date:  2017-11-26       Impact factor: 3.650

4.  3D mixed reality holograms for preoperative surgical planning of nephron-sparing surgery: evaluation of surgeons' perception.

Authors:  Enrico Checcucci; Daniele Amparore; Angela Pecoraro; Dario Peretti; Roberta Aimar; Sabrina DE Cillis; Federico Piramide; Gabriele Volpi; Pietro Piazzolla; Diego Manfrin; Matteo Manfredi; Cristian Fiori; Francesco Porpiglia
Journal:  Minerva Urol Nephrol       Date:  2019-09-05

5.  The R.E.N.A.L. nephrometry score: a comprehensive standardized system for quantitating renal tumor size, location and depth.

Authors:  Alexander Kutikov; Robert G Uzzo
Journal:  J Urol       Date:  2009-07-17       Impact factor: 7.450

Review 6.  Partial Nephrectomy Versus Radical Nephrectomy for Clinical T1b and T2 Renal Tumors: A Systematic Review and Meta-analysis of Comparative Studies.

Authors:  Maria Carmen Mir; Ithaar Derweesh; Francesco Porpiglia; Homayoun Zargar; Alexandre Mottrie; Riccardo Autorino
Journal:  Eur Urol       Date:  2016-09-07       Impact factor: 20.096

7.  Impact of Renal Hilar Control on Outcomes of Robotic Partial Nephrectomy: Systematic Review and Cumulative Meta-analysis.

Authors:  Giovanni E Cacciamani; Luis G Medina; Tania S Gill; Alec Mendelsohn; Fatima Husain; Lokesh Bhardwaj; Walter Artibani; Renè Sotelo; Inderbir S Gill
Journal:  Eur Urol Focus       Date:  2018-07-14

Review 8.  Pupil dilation as an index of effort in cognitive control tasks: A review.

Authors:  Pauline van der Wel; Henk van Steenbergen
Journal:  Psychon Bull Rev       Date:  2018-12

Review 9.  Renal Preservation and Partial Nephrectomy: Patient and Surgical Factors.

Authors:  Lorenzo Marconi; Mihir M Desai; Vincenzo Ficarra; Francesco Porpiglia; Hendrik Van Poppel
Journal:  Eur Urol Focus       Date:  2017-03-16

10.  3D Printing, Augmented Reality, and Virtual Reality for the Assessment and Management of Kidney and Prostate Cancer: A Systematic Review.

Authors:  Nicole Wake; Jeffrey E Nussbaum; Marie I Elias; Christine V Nikas; Marc A Bjurlin
Journal:  Urology       Date:  2020-06-12       Impact factor: 2.649

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  1 in total

1.  Patient specific simulation in urology: where are we now and what does the future look like?

Authors:  Ahmed Ghazi
Journal:  World J Urol       Date:  2022-03       Impact factor: 4.226

  1 in total

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