2021
DOI: 10.1007/s00464-020-08223-x
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Inter-user variation in the interpretation of near infrared perfusion imaging using indocyanine green in colorectal surgery

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Cited by 39 publications
(44 citation statements)
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“…A recent study investigating the inter-user variation in interpretation of ICG-FA during surgical resection found that this variation is influenced not only by surgical experience but also by experience with ICG-FA. The study speculates that experienced surgeons may use ICG-FA only as an adjunct to confirm their surgical conclusions, and highly recommend further development of quantification methods [ 24 ]. Interestingly, we found that the relative risk of performing unsafe resection using ICG-FA compared with q-ICG was 2.0, 6.2, and 4.0 for novice, intermediates, and experienced.…”
Section: Discussionmentioning
confidence: 99%
“…A recent study investigating the inter-user variation in interpretation of ICG-FA during surgical resection found that this variation is influenced not only by surgical experience but also by experience with ICG-FA. The study speculates that experienced surgeons may use ICG-FA only as an adjunct to confirm their surgical conclusions, and highly recommend further development of quantification methods [ 24 ]. Interestingly, we found that the relative risk of performing unsafe resection using ICG-FA compared with q-ICG was 2.0, 6.2, and 4.0 for novice, intermediates, and experienced.…”
Section: Discussionmentioning
confidence: 99%
“…This result indicated that application of ICG in gastric blood supply requires a learning curve. Hardy NP et al conducted a questionnaire about the interpretation of near infrared perfusion imaging using ICG in colorectal surgery in 40 participants, and 70% felt > 10 cases were needed for competency in use with the majority of experts advocating > 50 ( 33 ). The learning curve of application of ICG in gastric perfusion is still unclear.…”
Section: Discussionmentioning
confidence: 99%
“…This leads us to hypothesize that an image analysis pipeline segmenting the colon from the background first and, on this output, running the classification algorithm could lead to improved results. Based on previous work from our group [Soares, AS et al, Interobserver agreement study, under review ] and others [5] significant variation exists between different surgeons' assessments. Standardisation of fluorescence angiography is a necessary step to enable accurate comparison of results.…”
Section: Decision Boundary Estimationmentioning
confidence: 99%
“…The interpretation of the signal in fluorescence angiography is dependent on the surgeon and perhaps represents the actual 'learning curve' for this technique. These decisions have a high degree of variability shown both for static images [Soares, AS et al, Interobserver agreement study, under review ] and dynamic video [5] assessments. Automating the interpretation of the signal would eliminate this variability and provide an alternative means of quantification, thereby leveraging the usefulness of surgical data science [6] in the clinical setting.…”
Section: Introductionmentioning
confidence: 99%