开发一种可重复的放射组学模型,用于在不同注释和采集差异下通过 CT 肠造影诊断活动性克罗恩病。

Prathyush V Chirra, Pavithran Giriprakash, Alain G Rizk, Jacob A Kurowski, Satish E Viswanath, Namita S Gandhi
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引用次数: 0

摘要

系统识别 CT 肠造影 (CTE) 扫描图像上的放射组学特征,这些特征可通过多种变异来源准确诊断活动性克罗恩病。回顾性研究2013年至2015年期间策划的CTE扫描,包括164名受试者(65名男性,99名女性;所有患者均在18岁以上),经内窥镜确认是否患有活动性克罗恩病。所有患者都有三组不同的扫描结果(全剂量和减剂量,后者是通过两种不同的方法重建的),这些扫描结果是在一个机构的一台扫描仪上获得的。通过多种可重复性测量方法,单独系统地评估了注释回肠末端区域的放射组学描述符对不同成像变化(剂量/重建变化、批次效应和模拟注释差异)的适应性。根据分类器的 ROC 曲线下面积 (AUC),对多个放射组学模型(通过考虑每个变异源)进行了评估,以确定活动性克罗恩病患者。根据对多种成像变异来源的适应能力选择的放射组学描述符在发现队列中产生了最高的整体分类性能(AUC = 0.79 ± 0.04),在排除验证中也具有最佳的通用性(AUC = 0.81)。在多个剂量和重建过程中,其性能都能保持不变,同时还明显优于(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn's Disease on CT Enterography Across Annotation Variations and Acquisition Differences.

To systematically identify radiomics features on CT enterography (CTE) scans which can accurately diagnose active Crohn's disease across multiple sources of variation. Retrospective study of CTE scans curated between 2013 and 2015, comprising 164 subjects (65 male, 99 female; all patients were over the age of 18) with endoscopic confirmation for the presence or absence of active Crohn's disease. All patients had three distinct sets of scans available (full and reduced dose, where the latter had been reconstructed via two different methods), acquired on a single scanner at a single institution. Radiomics descriptors from annotated terminal ileum regions were individually and systematically evaluated for resilience to different imaging variations (changes in dose/reconstruction, batch effects, and simulated annotation differences) via multiple reproducibility measures. Multiple radiomics models (by accounting for each source of variation) were evaluated in terms of classifier area under the ROC curve (AUC) for identifying patients with active Crohn's disease, across separate discovery and hold-out validation cohorts. Radiomics descriptors selected based on resiliency to multiple sources of imaging variation yielded the highest overall classification performance in the discovery cohort (AUC = 0.79 ± 0.04) which also best generalized in hold-out validation (AUC = 0.81). Performance was maintained across multiple doses and reconstructions while also being significantly better (p < 0.001) than non-resilient descriptors or descriptors only resilient to a single source of variation. Radiomics features can accurately diagnose active Crohn's disease on CTE scans across multiple sources of imaging variation via systematic analysis of reproducibility measures. Clinical utility and translatability of radiomics features for diagnosis and characterization of Crohn's disease on CTE scans will be contingent on their reproducibility across multiple types and sources of imaging variation.

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