UCD Centre for Precision Surgery, School of Medicine, Catherine McAuley Centre, University College Dublin, 21 Nelson St, Phibsborough, Dublin 7, D07 KX5K, Ireland.
UCL Division of Surgery and Interventional Sciences, WEISS Centre, University College London, London, UK.
Surg Endosc. 2022 Dec;36(12):8764-8773. doi: 10.1007/s00464-022-09299-3. Epub 2022 May 11.
Indocyanine green fluorescence angiography (ICGFA) is commonly used in colorectal anastomotic practice with limited pre-training. Recent work has shown that there is considerable inconsistency in signal interpretation between surgeons with minimal or no experience versus those consciously invested in mastery of the technique. Here, we deconstruct the fluorescence signal patterns of expert-annotated surgical ICGFA videos to understand better their correlation and combine this with structured interviews to ascertain whether such interpretative capability is conscious or unconscious.
For fluorescence signal analysis, expert-annotated ICGFA videos (n = 24) were quantitatively interrogated using a boutique intensity tracker (IBM Research) to generate signal time plots. Such fluorescence intensity data were examined for inter-observer correlation (Intraclass Correlation Coefficients, ICC) at specific curve milestones: the maximum fluorescence signal (F), the times to both achieve this maximum (T), as well as half this maximum (T) and the ratio between these (T/T). Formal tele-interview with contributing experts (n = 6) was conducted with the narrative transcripts being thematically mapped, plotted, and qualitatively analyzed.
Correlation by mathematical measures was excellent (ICC0.9-1.0) for F, T, and T (0.95, 0.938, and 0.925, respectively) and moderate (0.5-0.75) for T/T (0.729). While all experts narrated a deliberate viewing strategy, their specific dynamic signal appreciation differed in the manner of description.
Expert ICGFA users demonstrate high correlation in mathematical measures of their signal interpretation although do so tacitly. Computational quantification of expert behavior can help develop the necessary lexicon and training sets as well as computer vision methodology to better exploit ICGFA technology.
吲哚菁绿荧光血管造影(ICGFA)在结直肠吻合术中被广泛应用,但需要进行有限的预培训。最近的研究表明,经验较少或没有经验的外科医生与有意识地掌握该技术的外科医生之间,在信号解读方面存在相当大的不一致。在这里,我们对专家注释的手术 ICGFA 视频中的荧光信号模式进行解构,以更好地了解它们之间的相关性,并结合结构访谈来确定这种解释能力是有意识的还是无意识的。
为了进行荧光信号分析,我们使用一家精品强度跟踪器(IBM Research)对专家注释的 ICGFA 视频(n=24)进行定量询问,以生成信号时间图。我们检查了特定曲线里程碑处的荧光强度数据的观察者间相关性(组内相关系数,ICC):最大荧光信号(F)、达到此最大值的时间(T)以及达到此最大值一半的时间(T)和这些时间之间的比值(T/T)。对有贡献的专家进行了正式的远程访谈,将叙述性转录本进行主题映射、绘制和定性分析。
通过数学方法衡量的相关性非常好(ICC0.9-1.0),适用于 F、T 和 T(分别为 0.95、0.938 和 0.925),适中(0.5-0.75),适用于 T/T(0.729)。尽管所有专家都讲述了一种刻意的观察策略,但他们对特定动态信号的欣赏在描述方式上存在差异。
ICGFA 专家使用者在其信号解释的数学测量方面表现出高度的相关性,尽管他们是隐性的。对专家行为的计算量化可以帮助开发必要的词汇和训练集,以及计算机视觉方法,以更好地利用 ICGFA 技术。