A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video.

A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video.
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DOI:
10.1007/s00464-023-10041-w
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发表时间:
2023-06
期刊:
Surgical endoscopy
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其他
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标注数据是有监督机器学习应用的基础。然而,外科数据科学领域似乎缺乏共同语言。本研究的目的是回顾微创手术视频SPM制作过程中所使用的注释和语义过程。为了进行系统回顾,我们回顾了MEDLINE数据库从2000年1月到2022年3月收录的文章。我们选择了使用手术视频注释的文章来描述微创外科领域的手术过程模型。我们排除了仅关注器械检测或解剖区域识别的研究。使用渥太华纽卡斯尔质量评估工具评估偏倚的风险。这些研究的数据使用SPIDER工具直观地显示在表格中。在确定的2806篇文章中,有34篇被选中进行审查。其中消化科22例,眼科6例,神经外科1例,妇科3例,混合科2例。31项研究(88.2%)致力于阶段、步骤或动作识别,主要依赖于非常简单的形式化(29项,85.2%)。数据集中的临床信息对于使用可用的公共数据集的研究来说是缺乏的。手术过程模型的注释过程缺乏并且描述得很差,并且对手术过程的描述在不同研究之间差异很大。手术视频注释缺乏严谨和可重现的框架。这导致了机构和医院之间共享视频的困难,因为使用的语言不同。需要开发和使用公共本体来改进带注释的手术视频的库。
Annotated data are foundational to applications of supervised machine learning. However, there seems to be a lack of common language used in the field of surgical data science. The aim of this study is to review the process of annotation and semantics used in the creation of SPM for minimally invasive surgery videos. For this systematic review, we reviewed articles indexed in the MEDLINE database from January 2000 until March 2022. We selected articles using surgical video annotations to describe a surgical process model in the field of minimally invasive surgery. We excluded studies focusing on instrument detection or recognition of anatomical areas only. The risk of bias was evaluated with the Newcastle Ottawa Quality assessment tool. Data from the studies were visually presented in table using the SPIDER tool. Of the 2806 articles identified, 34 were selected for review. Twenty-two were in the field of digestive surgery, six in ophthalmologic surgery only, one in neurosurgery, three in gynecologic surgery, and two in mixed fields. Thirty-one studies (88.2%) were dedicated to phase, step, or action recognition and mainly relied on a very simple formalization (29, 85.2%). Clinical information in the datasets was lacking for studies using available public datasets. The process of annotation for surgical process model was lacking and poorly described, and description of the surgical procedures was highly variable between studies. Surgical video annotation lacks a rigorous and reproducible framework. This leads to difficulties in sharing videos between institutions and hospitals because of the different languages used. There is a need to develop and use common ontology to improve libraries of annotated surgical videos.
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