反映内脏脂肪分布的放射性生物标志物有助于区分炎症性肠病亚型:一个多中心横截面研究
Ziman Xiong1, Peili Wu2, Yan Zhang3
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
对内脏脂肪组织 (VAT) 分布的自动CT分析揭示了克罗恩病 (CD) 和性结肠炎 (UC) 的不同模式. 增值税分配变化系数是IBD亚型分类的一个有希望的生物标志物.
科学领域:
- 放射学 放射学是一门学科.
- 胃肠病学 胃肠病学
- 医疗成像医学成像
背景情况:
- 炎症性肠病 (IBD) 包括克罗恩病 (CD) 和性结肠炎 (UC),经常出现重叠的症状.
- 精确区分CD和UC对于有效的治疗和管理至关重要.
- 当前的诊断方法可能并不总能提供明确的区分,需要新的生物标志物.
研究的目的:
- 开发一种使用CT图像量化内脏脂肪组织 (VAT) 分布的自动化方法.
- 确定可以区分IBD亚型 (CD和UC) 的增值税分配的放射性参数.
- 评估这些参数作为IBD分类生物标志物的潜力.
主要方法:
- 进行了一项回顾性多中心研究,涉及772名患者 (CD,UC和对照).
- 一个自动化的增值税细分算法被应用到腹部CT扫描.
- 用物流回归和ROC分析计算和分析了腰部地区的增值税区域的增值税量和变化系数 (CV).
主要成果:
- 与UC患者和对照人群相比,CD患者的VAT分布CV显著更高 (分别为29.42 ± 15.54%和25.69 ± 12.61%和23.42 ± 15.62%;p < 0.001).
- 多变量分析发现CV是CD的重要预测因素 (OR = 6.05;p = 0.03).
- 包括CV提高了区分IBD亚型的诊断效率.
结论:
- 基于CT的增值税分配参数,特别是CV,可以作为区分CD和UC的有价值生物标志物.
- 增值税分配的自动化分析为放射性查和IBD亚型分类提供了一个有希望的,非侵入性的工具.
- 这些发现支持将内脏脂肪分布分析纳入IBD患者的常规放射性评估.
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