Multiparametric magnetic resonance imaging-derived radiomics for the prediction of Ki67 expression in intrahepatic cholangiocarcinoma.

IF 1.1 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Acta radiologica Pub Date : 2025-04-01 Epub Date: 2025-02-12 DOI:10.1177/02841851241310394
Qing Wang, Chen Wang, Xianling Qian, Baoxin Qian, Xijuan Ma, Chun Yang, Yibing Shi
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引用次数: 0

Abstract

BackgroundIntrahepatic cholangiocarcinoma (ICC) is an aggressive liver malignancy, and Ki67 is associated with prognosis in patients with ICC and is an attractive therapeutic target.PurposeTo predict Ki67 expression based on multiparametric magnetic resonance imaging (MRI) radiomics multiscale tumor region in patients with ICC.Material and MethodsA total of 191 patients (training cohort, n = 133; validation cohort, n = 58) with pathologically confirmed ICC were enrolled in this retrospective study. All patients underwent baseline abdominal MR scans in our institution. Univariate logistic analysis was conducted of the correlation between clinical and MRI characteristics and Ki67 expression. Radiomics features were extracted from the image of six MRI sequences (T1-weighted imaging, fat-suppression T2-weighted imaging, diffusion-weighted imaging, and 3-phases contrast-enhanced T1-weighted imaging sequences). Using the least absolute shrinkage and selection operator (LASSO) to select Ki67-related radiomics features in four different tumor volumes (VOItumor, VOI+8mm, VOI+10mm, VOI+12mm). The Rad-score was calculated with logistic regression, and models for prediction of Ki67 expression were constructed. The receiver operating curve was used to analyze the predictive performance of each model.ResultsClinical and regular MRI characteristics were independent of Ki67 expression. Four Rad-scores all showed favorable prediction efficiency in both the training and validation cohorts (AUC = 0.849-0.912 vs. 0.789-0.838). DeLong's test showed that there was no significant difference between the AUC of the radiomics scores, while the Rad-score (VOI+10mm) performed the most stable predictive efficiency with △AUC 0.033.ConclusionMultiparametric MRI radiomics based on multiscale tumor regions can help predict the expression status of Ki67 in ICC patients.

多参数磁共振成像衍生放射组学用于预测肝内胆管癌中Ki67的表达。
背景:肝内胆管癌(ICC)是一种侵袭性肝脏恶性肿瘤,Ki67与ICC患者的预后相关,是一个有吸引力的治疗靶点。目的:基于多参数磁共振成像(MRI)放射组学多尺度肿瘤区域预测ICC患者Ki67的表达。材料与方法:191例患者(训练队列,n = 133;本回顾性研究纳入病理证实的ICC患者验证队列(n = 58)。所有患者在本院均进行了基线腹部磁共振扫描。对临床和MRI特征与Ki67表达的相关性进行单因素logistic分析。从6个MRI序列(t1加权成像、脂肪抑制t2加权成像、弥散加权成像和3期对比增强t1加权成像序列)中提取放射组学特征。使用最小绝对收缩和选择算子(LASSO)在四个不同肿瘤体积(voitumum, VOI+8mm, VOI+10mm, VOI+12mm)中选择ki67相关放射组学特征。采用logistic回归计算rad评分,构建Ki67表达预测模型。采用受试者工作曲线分析各模型的预测性能。结果:临床和常规MRI特征与Ki67表达无关。4个rad评分在训练组和验证组均显示出较好的预测效率(AUC = 0.849-0.912 vs. 0.789-0.838)。DeLong的检验显示,放射组学评分的AUC之间没有显著差异,而rad评分(VOI+10mm)的预测效率最稳定,△AUC为0.033。结论:基于多尺度肿瘤区域的多参数MRI放射组学有助于预测ICC患者Ki67的表达状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Acta radiologica
Acta radiologica 医学-核医学
CiteScore
2.70
自引率
0.00%
发文量
170
审稿时长
3-8 weeks
期刊介绍: Acta Radiologica publishes articles on all aspects of radiology, from clinical radiology to experimental work. It is known for articles based on experimental work and contrast media research, giving priority to scientific original papers. The distinguished international editorial board also invite review articles, short communications and technical and instrumental notes.
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