Inexperienced Evaluator Identification of Hand Ischemia Via Video Processed with Pigment-Enhancing Technology

Q3 Medicine
Max Horowitz BS , Aygul Iskandarova MD , Gabriel Yohe MS , Shihab Rahman BS , Nicholas Durr PhD , Aviram M. Giladi MD, MS
{"title":"Inexperienced Evaluator Identification of Hand Ischemia Via Video Processed with Pigment-Enhancing Technology","authors":"Max Horowitz BS ,&nbsp;Aygul Iskandarova MD ,&nbsp;Gabriel Yohe MS ,&nbsp;Shihab Rahman BS ,&nbsp;Nicholas Durr PhD ,&nbsp;Aviram M. Giladi MD, MS","doi":"10.1016/j.jhsg.2024.11.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>Eulerian video magnification (EVM)+waveform is a novel video processing software that enhances visualization of tissue perfusion and has been shown to improve hand surgeon identification of ischemia via video alone. The purpose of this study is to determine whether EVM+waveform technology will support improved accuracy in identifying hand ischemia for less experienced persons, regardless of the evaluator’s health care experience or the melanin content of the hand in the video.</div></div><div><h3>Methods</h3><div>Healthy volunteers were recruited for us to record videos of their hands both perfused and under tourniquet-induced ischemia. Videos were processed with EVM+waveform and inserted into a 26-question survey. There were two types of questions presented in each survey. One format showed a video processed with EVM+waveform, and the respondent was asked if the hand was ischemic, perfused, or if they were unsure. The second format presented two side-by-side videos, one ischemic and one perfused. Both were processed with EVM+waveform, and the respondent had to choose which was ischemic. Respondents included both medical and non-medical professionals none of whom had experience with hand surgery.</div></div><div><h3>Results</h3><div>A total of 64 survey responses were recorded. The EVM+waveform technology significantly improved accuracy in determining ischemia regardless of the respondent’s health care experience. Respondents were divided into medical doctorate (MD; n = 15) and non-MD (n = 49) groups. Both groups demonstrated significant improvement in determining ischemia when using EVM+waveform. Within the non-MD cohort, accuracy percentages significantly improved across Fitzpatrick types IV, V, and VI. Within the MD cohort, accuracy percentages significantly improved across Fitzpatrick types III, V, and VI.</div></div><div><h3>Conclusions</h3><div>These findings further establish EVM+waveform as an effective modality for identifying ischemia via video alone, as it enhanced performance for inexperienced evaluators. EVM+waveform is effective for assessing various skin types, especially those with higher skin melanin content.</div></div><div><h3>Type of study/level of evidence</h3><div>Diagnostic, IV.</div></div>","PeriodicalId":36920,"journal":{"name":"Journal of Hand Surgery Global Online","volume":"7 1","pages":"Pages 72-78"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hand Surgery Global Online","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589514124002202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose

Eulerian video magnification (EVM)+waveform is a novel video processing software that enhances visualization of tissue perfusion and has been shown to improve hand surgeon identification of ischemia via video alone. The purpose of this study is to determine whether EVM+waveform technology will support improved accuracy in identifying hand ischemia for less experienced persons, regardless of the evaluator’s health care experience or the melanin content of the hand in the video.

Methods

Healthy volunteers were recruited for us to record videos of their hands both perfused and under tourniquet-induced ischemia. Videos were processed with EVM+waveform and inserted into a 26-question survey. There were two types of questions presented in each survey. One format showed a video processed with EVM+waveform, and the respondent was asked if the hand was ischemic, perfused, or if they were unsure. The second format presented two side-by-side videos, one ischemic and one perfused. Both were processed with EVM+waveform, and the respondent had to choose which was ischemic. Respondents included both medical and non-medical professionals none of whom had experience with hand surgery.

Results

A total of 64 survey responses were recorded. The EVM+waveform technology significantly improved accuracy in determining ischemia regardless of the respondent’s health care experience. Respondents were divided into medical doctorate (MD; n = 15) and non-MD (n = 49) groups. Both groups demonstrated significant improvement in determining ischemia when using EVM+waveform. Within the non-MD cohort, accuracy percentages significantly improved across Fitzpatrick types IV, V, and VI. Within the MD cohort, accuracy percentages significantly improved across Fitzpatrick types III, V, and VI.

Conclusions

These findings further establish EVM+waveform as an effective modality for identifying ischemia via video alone, as it enhanced performance for inexperienced evaluators. EVM+waveform is effective for assessing various skin types, especially those with higher skin melanin content.

Type of study/level of evidence

Diagnostic, IV.
缺乏经验的评估者通过色素增强技术处理视频识别手部缺血
目的:超声视频放大(EVM)+波形是一种新型的视频处理软件,它增强了组织灌注的可视化,并已被证明可以提高手外科医生仅通过视频对缺血的识别。本研究的目的是确定EVM+波形技术是否支持提高对经验不足的人识别手部缺血的准确性,而不考虑评估者的医疗保健经验或视频中手部的黑色素含量。方法招募健康志愿者,对他们的手进行灌注和止血带缺血录像。视频采用EVM+波形处理,并插入26个问题的调查问卷。每次调查中有两种类型的问题。一种格式显示了EVM+波形处理后的视频,被调查者被问及手是否缺血,灌注,或者他们是否不确定。第二种格式呈现两个并排的视频,一个是缺血的,一个是灌注的。两者均采用EVM+波形处理,被调查者需选择哪个为缺血。受访者包括医疗和非医疗专业人员,他们都没有手外科经验。结果共收到64份问卷。EVM+波形技术显著提高了判断缺血的准确性,无论被调查者的医疗保健经历如何。受访者分为医学博士(MD;n = 15)和非md组(n = 49)。两组在使用EVM+波形判断缺血方面均有显著改善。在非MD队列中,IV型、V型和VI型的准确率显著提高。在MD队列中,III型、V型和VI型的准确率显著提高。结论这些发现进一步确立了EVM+波形作为仅通过视频识别缺血的有效模式,因为它提高了缺乏经验的评估者的表现。EVM+波形可有效评估各种皮肤类型,尤其是黑色素含量较高的皮肤。研究类型/证据水平诊断性,IV。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.10
自引率
0.00%
发文量
111
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信