Forskning
Udskriv Udskriv
Switch language
Rigshospitalet - en del af Københavns Universitetshospital
Udgivet

Computer analysis of individual cataract surgery segments in the operating room

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Harvard

Balal, S, Smith, P, Bader, T, Tang, HL, Sullivan, P, Thomsen, ASS, Carlson, T & Saleh, GM 2019, 'Computer analysis of individual cataract surgery segments in the operating room' Eye, bind 33, nr. 2, s. 313-319. https://doi.org/10.1038/s41433-018-0185-1

APA

Balal, S., Smith, P., Bader, T., Tang, H. L., Sullivan, P., Thomsen, A. S. S., ... Saleh, G. M. (2019). Computer analysis of individual cataract surgery segments in the operating room. Eye, 33(2), 313-319. https://doi.org/10.1038/s41433-018-0185-1

CBE

Balal S, Smith P, Bader T, Tang HL, Sullivan P, Thomsen ASS, Carlson T, Saleh GM. 2019. Computer analysis of individual cataract surgery segments in the operating room. Eye. 33(2):313-319. https://doi.org/10.1038/s41433-018-0185-1

MLA

Vancouver

Author

Balal, Shafi ; Smith, Phillip ; Bader, Tara ; Tang, Hongying Lilian ; Sullivan, Paul ; Thomsen, Ann Sofia Skou ; Carlson, Tom ; Saleh, George M. / Computer analysis of individual cataract surgery segments in the operating room. I: Eye. 2019 ; Bind 33, Nr. 2. s. 313-319.

Bibtex

@article{65cb9427f02f44908e3627cf0eafc2aa,
title = "Computer analysis of individual cataract surgery segments in the operating room",
abstract = "PURPOSE: Objective feedback is important for the continuous development of surgical skills. Motion tracking, which has previously been validated across an entire cataract procedure, can be a useful adjunct. We aimed to measure quantitative differences between junior and senior surgeons' performance in three distinct segments. We further explored whether automated analysis of trainee surgical videos through PhacoTracking could be aligned with metrics from the EyeSi virtual reality simulator, allowing focused improvement of these areas in a controlled environment.METHODS: Prospective cohort analysis, comparing junior vs. senior surgeons' real-life performance in distinct segments of cataract surgery: continuous curvilinear capsulorhexis (CCC), phacoemulsification, and irrigation and aspiration (I&A). EyeSi metrics that could be aligned with motion tracking parameters were identified. Motion tracking parameters (instrument path length, number of movements and total time) were measured. t-test used between the two cohorts for each component to check for any significance (p < 0.05).RESULTS: A total of 120 segments from videos of 20 junior and 20 senior surgeons were analysed. Significant differences between junior and senior surgeons were found during CCC (path length p = 0.0004; number of movements p < 0.0001; time taken p < 0.0001), phacoemulsification (path length p < 0.0001; number of movements p < 0.0001; time taken p < 0.0001), and irrigation and aspiration (path length p = 0.006; number of movements p = 0.013; time taken p = 0.036).CONCLUSION: Individual segments of cataract surgery analysed using motion tracking appear to discriminate between junior and senior surgeons. Alignment of motion tracking and EyeSi parameters could enable independent, task specific, objective and quantitative feedback for each segment of surgery thus mirroring the widely utilised modular training.",
keywords = "Capsulorhexis/education, Clinical Competence, Education, Medical, Graduate/methods, Educational Measurement/methods, Humans, Image Processing, Computer-Assisted, Internship and Residency, Medical Staff, Hospital, Operating Rooms, Ophthalmology/education, Phacoemulsification/education, Prospective Studies, Task Performance and Analysis",
author = "Shafi Balal and Phillip Smith and Tara Bader and Tang, {Hongying Lilian} and Paul Sullivan and Thomsen, {Ann Sofia Skou} and Tom Carlson and Saleh, {George M}",
year = "2019",
month = "2",
doi = "10.1038/s41433-018-0185-1",
language = "English",
volume = "33",
pages = "313--319",
journal = "Eye",
issn = "0950-222X",
publisher = "Nature Publishing Group",
number = "2",

}

RIS

TY - JOUR

T1 - Computer analysis of individual cataract surgery segments in the operating room

AU - Balal, Shafi

AU - Smith, Phillip

AU - Bader, Tara

AU - Tang, Hongying Lilian

AU - Sullivan, Paul

AU - Thomsen, Ann Sofia Skou

AU - Carlson, Tom

AU - Saleh, George M

PY - 2019/2

Y1 - 2019/2

N2 - PURPOSE: Objective feedback is important for the continuous development of surgical skills. Motion tracking, which has previously been validated across an entire cataract procedure, can be a useful adjunct. We aimed to measure quantitative differences between junior and senior surgeons' performance in three distinct segments. We further explored whether automated analysis of trainee surgical videos through PhacoTracking could be aligned with metrics from the EyeSi virtual reality simulator, allowing focused improvement of these areas in a controlled environment.METHODS: Prospective cohort analysis, comparing junior vs. senior surgeons' real-life performance in distinct segments of cataract surgery: continuous curvilinear capsulorhexis (CCC), phacoemulsification, and irrigation and aspiration (I&A). EyeSi metrics that could be aligned with motion tracking parameters were identified. Motion tracking parameters (instrument path length, number of movements and total time) were measured. t-test used between the two cohorts for each component to check for any significance (p < 0.05).RESULTS: A total of 120 segments from videos of 20 junior and 20 senior surgeons were analysed. Significant differences between junior and senior surgeons were found during CCC (path length p = 0.0004; number of movements p < 0.0001; time taken p < 0.0001), phacoemulsification (path length p < 0.0001; number of movements p < 0.0001; time taken p < 0.0001), and irrigation and aspiration (path length p = 0.006; number of movements p = 0.013; time taken p = 0.036).CONCLUSION: Individual segments of cataract surgery analysed using motion tracking appear to discriminate between junior and senior surgeons. Alignment of motion tracking and EyeSi parameters could enable independent, task specific, objective and quantitative feedback for each segment of surgery thus mirroring the widely utilised modular training.

AB - PURPOSE: Objective feedback is important for the continuous development of surgical skills. Motion tracking, which has previously been validated across an entire cataract procedure, can be a useful adjunct. We aimed to measure quantitative differences between junior and senior surgeons' performance in three distinct segments. We further explored whether automated analysis of trainee surgical videos through PhacoTracking could be aligned with metrics from the EyeSi virtual reality simulator, allowing focused improvement of these areas in a controlled environment.METHODS: Prospective cohort analysis, comparing junior vs. senior surgeons' real-life performance in distinct segments of cataract surgery: continuous curvilinear capsulorhexis (CCC), phacoemulsification, and irrigation and aspiration (I&A). EyeSi metrics that could be aligned with motion tracking parameters were identified. Motion tracking parameters (instrument path length, number of movements and total time) were measured. t-test used between the two cohorts for each component to check for any significance (p < 0.05).RESULTS: A total of 120 segments from videos of 20 junior and 20 senior surgeons were analysed. Significant differences between junior and senior surgeons were found during CCC (path length p = 0.0004; number of movements p < 0.0001; time taken p < 0.0001), phacoemulsification (path length p < 0.0001; number of movements p < 0.0001; time taken p < 0.0001), and irrigation and aspiration (path length p = 0.006; number of movements p = 0.013; time taken p = 0.036).CONCLUSION: Individual segments of cataract surgery analysed using motion tracking appear to discriminate between junior and senior surgeons. Alignment of motion tracking and EyeSi parameters could enable independent, task specific, objective and quantitative feedback for each segment of surgery thus mirroring the widely utilised modular training.

KW - Capsulorhexis/education

KW - Clinical Competence

KW - Education, Medical, Graduate/methods

KW - Educational Measurement/methods

KW - Humans

KW - Image Processing, Computer-Assisted

KW - Internship and Residency

KW - Medical Staff, Hospital

KW - Operating Rooms

KW - Ophthalmology/education

KW - Phacoemulsification/education

KW - Prospective Studies

KW - Task Performance and Analysis

U2 - 10.1038/s41433-018-0185-1

DO - 10.1038/s41433-018-0185-1

M3 - Journal article

VL - 33

SP - 313

EP - 319

JO - Eye

JF - Eye

SN - 0950-222X

IS - 2

ER -

ID: 59305372