MRI for Hepatitis B‐Associated Intrahepatic Cholangiocarcinoma: A Multicenter Comparative Study

Author:

Sheng Ruofan123ORCID,Wang Heqing3,Zhang Yunfei24,Sun Wei12,Jin Kaipu12,Dai Yongming4,Zhang Weiguo5,Zeng Mengsu126ORCID,Zhou Jianjun13

Affiliation:

1. Department of Radiology, Zhongshan Hospital Fudan University Shanghai 200032 China

2. Shanghai Institute of Medical Imaging Shanghai 200032 China

3. Department of Radiology, Zhongshan Hospital (Xiamen) Fudan University Xiamen 361015 China

4. Central Research Institute United Imaging Healthcare Shanghai 201800 China

5. Department of Radiology, Dushu Lake Public Hospital Affiliated to Soochow University Suzhou 215028 China

6. Department of Cancer Center, Zhongshan Hospital Fudan University Shanghai 200032 China

Abstract

BackgroundThe diagnosis of intrahepatic cholangiocarcinoma (iCCA) is challenging in hepatitis B virus (HBV)‐infected patients, due to the overlapping clinical manifestations and atypical imaging patterns compared to patients without HBV.PurposeTo investigate the preoperative imaging characteristics of iCCA in patients with HBV in comparison to those without HBV.Study TypeRetrospective.Subjects431 patients with histopathologically confirmed iCCA (143 HBV‐positive and 288 HBV‐negative patients) were retrospectively enrolled from three institutes, and patients were allocated to the training (n = 302) and validation (n = 129) cohorts from different institutes or time period; 100 matching HBV‐positive hepatocellular carcinoma (HCC) patients were also enrolled.Field Strength/Sequence1.5‐T and 3‐T, including T1‐ and T2‐weighted, diffusion‐weighted and dynamic gadopentetate dimeglumine‐enhanced imaging.AssessmentClinical and MRI features were analyzed and compared between HBV‐positive and HBV‐negative patients with iCCA, and between HBV‐positive patients with iCCA and HCC.Statistical TestsUnivariate and multivariate logistic regression analyses with odds ratio (OR) to identify independent features for discriminating HBV‐associated iCCA. Diagnostic model generation by incorporating independent features, and the performance for discrimination was evaluated by receiver operating characteristics with the area under the curve (AUC) and 95% confidence interval (CI). AUCs were compared by the DeLong's method. A P‐value <0.05 was considered statistically significant.ResultsCompared to patients without HBV, washout or degressive enhancement pattern (OR = 51.837), well‐defined tumor margin (OR = 8.758) and no peritumoral bile duct dilation (OR = 4.651) were independent significant features for discriminating HBV‐associated iCCAs. All these features were also the predominant MRI manifestations for HBV‐associated HCC. The combined index showed an AUC of 0.798 (95% CI 0.748–0.842) in the training cohort and an AUC of 0.789 (95% CI 0.708–0.856) in the validation cohort for discrimination. The sensitivity, specificity, and accuracy were all >70%, which was superior to each single feature alone in both cohorts. [Correction added after first online publication on 29 June 2023. The Field Strength/Sequence has been updated from 5‐T to 1.5‐T.]Data ConclusionPreoperative MRI may help to discriminate HBV‐associated iCCA.Evidence Level3Technical Efficacy Stage2

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3