Mapping the colon through the colonoscope's coordinates - The Copenhagen Colonoscopy Coordinate Database.

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Kristoffer Mazanti Cold, Anishan Vamadevan, Amihai Heen, Andreas Slot Vilmann, Mustafa Bulut, Bojan Kovacevic, Morten Rasmussen, Lars Konge, Morten Bo Søndergaard Svendsen
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引用次数: 0

Abstract

Colonoscopy is the leading endoscopic technique when it comes to implementing artificial intelligence-based tools to optimize the procedure. However, no database consisting of the colonoscope's coordinates exists, allowing for a mapping with timestamps of the colonoscope path through the colon. The colonoscope contains coils that, through electromagnetic radiance, are translated into magnetic endoscopic imaging of the position while inside the patient, so the entire length of the colonoscope's position of the colonoscopy can be mapped. Such data have already been used to develop the colonoscopy retraction score, which correlates with the adenoma detection rate and the colonoscopy progression score, which correlates with pain experienced pain. Therefore, we provide a database consisting of 1400 clinical colonoscopies and 100 colonoscopies from a simulated setting. These data are freely available and could be used to map the mucosal inspection of the colon, generate heatmaps to ensure an equally distributed inspection, etc.

Abstract Image

Abstract Image

Abstract Image

通过结肠镜的坐标映射结肠-哥本哈根结肠镜坐标数据库。
当涉及到实施基于人工智能的工具来优化程序时,结肠镜检查是领先的内窥镜技术。但是,不存在包含结肠镜坐标的数据库,因此不允许使用结肠镜通过结肠的路径的时间戳进行映射。结肠镜包含线圈,通过电磁辐射,在病人体内被转换成位置的磁内窥镜成像,所以结肠镜的整个长度的结肠镜的位置可以被映射。这些数据已经被用于制定结肠镜下拉评分,该评分与腺瘤检出率相关,结肠镜下进展评分与疼痛经历相关。因此,我们提供了一个由1400例临床结肠镜检查和100例模拟结肠镜检查组成的数据库。这些数据是免费的,可用于绘制结肠粘膜检查图,生成热图以确保检查均匀分布等。
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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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