Computer aided villi morphometric quantification in video-capsule enteroscopy: A newly developed software to quantify small bowel atrophy.

IF 4 3区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Nicoletta Nandi, Matilde Topa, Alessandro Rimondi, Michele M Ciulla, Gian Eugenio Tontini, Lucia Scaramella, Reena Sidhu, Maurizio Vecchi, Luca Elli
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引用次数: 0

Abstract

Background and aims: Small bowel capsule endoscopy (SBCE) has an established role in patients with non-responsive celiac disease (CeD). A non-invasive method to quantify small bowel atrophy is still lacking.

Methods: We analysed SBCE frames from CeD patients from 2018 to 2020. Histology was the reference standard, with atrophy defined as Marsh-Oberhuber score ≥ 3a. Three regions of interest (ROI) were blindly selected from each frame by an expert gastroenterologist and analysed using a National Institute of Health J image-processing software into a numerical scale. A 3D surface plot macro identified intestinal villi density through isolines plots.

Results: We acquired 306 ROIs from 57 frames with macroscopic atrophy and 45 with normal mucosa. Frames were classified as atrophic (n = 63) or non-atrophic (n = 39) per Marsh-Oberhuber classification. Median density score significantly differed between atrophic and non-atrophic frames (p < 0.001). The morphometric analysis showed a sensitivity of 77 % and a specificity of 79 % in discriminating between atrophic or non-atrophic mucosa with a 14.10 cut-off (Youden Index) and an overall AUC of 0.805 (CI 95 % 0.712-0.897).

Conclusions: Our newly developed SBCE software can effectively quantify villous atrophy. Further studies are needed to validate its applicability in an external cohort.

视频胶囊肠镜中的计算机辅助绒毛形态定量:新开发的量化小肠萎缩的软件。
背景和目的:小肠胶囊内镜(SBCE)在无反应性乳糜泻(CeD)患者中的作用已经确立。目前仍缺乏量化小肠萎缩的无创方法:我们分析了2018年至2020年CeD患者的SBCE框架。组织学是参考标准,萎缩定义为 Marsh-Oberhuber 评分≥ 3a。胃肠病专家从每帧图像中盲选三个感兴趣区(ROI),并使用美国国家卫生研究院 J 图像处理软件进行数值化分析。三维表面图宏通过隔离图确定肠绒毛密度:我们从 57 个大面积萎缩和 45 个粘膜正常的病例中获取了 306 个 ROI。根据马什-奥伯胡伯分类法,病例被分为萎缩型(63 例)和非萎缩型(39 例)。中位密度评分在萎缩和非萎缩框架之间存在明显差异(p < 0.001)。形态计量分析表明,以 14.10 为临界值(尤登指数)区分萎缩和非萎缩粘膜的灵敏度为 77%,特异度为 79%,总体 AUC 为 0.805(CI 95 % 0.712-0.897):我们新开发的 SBCE 软件能有效量化绒毛萎缩。结论:我们新开发的 SBCE 软件可有效量化绒毛萎缩,但还需进一步研究,以验证其在外部队列中的适用性。
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来源期刊
Digestive and Liver Disease
Digestive and Liver Disease 医学-胃肠肝病学
CiteScore
6.10
自引率
2.20%
发文量
632
审稿时长
19 days
期刊介绍: Digestive and Liver Disease is an international journal of Gastroenterology and Hepatology. It is the official journal of Italian Association for the Study of the Liver (AISF); Italian Association for the Study of the Pancreas (AISP); Italian Association for Digestive Endoscopy (SIED); Italian Association for Hospital Gastroenterologists and Digestive Endoscopists (AIGO); Italian Society of Gastroenterology (SIGE); Italian Society of Pediatric Gastroenterology and Hepatology (SIGENP) and Italian Group for the Study of Inflammatory Bowel Disease (IG-IBD). Digestive and Liver Disease publishes papers on basic and clinical research in the field of gastroenterology and hepatology. Contributions consist of: Original Papers Correspondence to the Editor Editorials, Reviews and Special Articles Progress Reports Image of the Month Congress Proceedings Symposia and Mini-symposia.
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