A Mesenteric Fat-Derived Radiomic Model to Identify Colonic Fibrosis and Predict Treatment Response to Biologics in Chronic Ulcerative Colitis.

IF 3.2 2区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Diseases of the Colon & Rectum Pub Date : 2024-09-10 DOI:10.1097/dcr.0000000000003468
Feng Zhu,Ting Dong,Chunxiang Tang,Juan Wei,Wenwen Guo,Chao Ding,Luying Gui,Jianfeng Gong
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Abstract

BACKGROUND Evidence suggested the lesion of ulcerative colitis stretches beyond mucosa. The application of radiomics on ulcerative colitis fibrosis is unclear. OBJECTIVE We aimed to characterize the colonic fibrosis and treatment response to biologics in chronic ulcerative colitis using radiomic features extracted from bowel wall and mesenteric adipose tissue. DESIGN Retrospective analysis of prospective database. SETTINGS This study was conducted in a single tertiary center. PATIENTS A total of 72 patients who underwent proctocolectomy and 47 patients who received biologics induction were included. INTERVENTION Computed Tomography images were collected and radiomic features were extracted to develop radiomic models using logistic regression. MAIN OUTCOME MEASURES Main outcome was colonic fibrosis, which was classified into mild and severe based on histological scoring. RESULTS The area under curve of the bowel wall model to predict severe fibrosis was 0.931 (p < 0.001) and 0.869 (p < 0.001) in the training and test cohort, respectively. For mesenteric adipose tissue model, area under curve was 0.947 (p < 0.001) and 0.837 (p < 0.001), respectively. The mesenteric adipose tissue model was superior to bowel wall model (area under curve, 0.809, p < 0.001 and 0.722, p = 0.006) in predicting response to biologics in chronic ulcerative colitis. LIMITATIONS Retrospective single center study. CONCLUSIONS Two radiomic models derived from bowel wall and mesenteric adipose tissue features readily predicted colonic fibrosis and treatment response of biologics in chronic ulcerative colitis. The mesentery harbors critical information and was essentially involved in fibrogenesis. See Video Abstract.
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肠系膜脂肪衍生辐射组学模型用于识别结肠纤维化并预测慢性溃疡性结肠炎患者对生物制剂的治疗反应。
背景有证据表明,溃疡性结肠炎的病变范围超出了黏膜。目的我们旨在利用从肠壁和肠系膜脂肪组织中提取的放射组学特征来描述慢性溃疡性结肠炎患者结肠纤维化的特征和对生物制剂的治疗反应。主要结果测量主要结果是结肠纤维化,根据组织学评分分为轻度和重度。结果肠壁模型预测重度纤维化的曲线下面积在训练队列和测试队列中分别为 0.931(p < 0.001)和 0.869(p < 0.001)。肠系膜脂肪组织模型的曲线下面积分别为0.947(p < 0.001)和0.837(p < 0.001)。肠系膜脂肪组织模型在预测慢性溃疡性结肠炎患者对生物制剂的反应方面优于肠壁模型(曲线下面积分别为 0.809,p < 0.001 和 0.722,p = 0.006)。肠系膜蕴藏着关键信息,并从根本上参与了纤维化。参见视频摘要。
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来源期刊
CiteScore
4.50
自引率
7.70%
发文量
572
审稿时长
3-8 weeks
期刊介绍: Diseases of the Colon & Rectum (DCR) is the official journal of the American Society of Colon and Rectal Surgeons (ASCRS) dedicated to advancing the knowledge of intestinal disorders by providing a forum for communication amongst their members. The journal features timely editorials, original contributions and technical notes.
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