Fat fraction quantification by MRI predicts diagnosis and prognosis of HBV-related steatohepatitic hepatocellular carcinoma.

IF 4.7 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Laizhu Zhang, Xiaoli Mai, Binghua Li, Huan Li, Qi Liu, Yunzheng Li, Yican Zhu, Xiang Jiang, Weihong Wang, Chu Qiao, Jun Chen, Chun Xu, Jun Chen, Decai Yu
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引用次数: 0

Abstract

Objectives: This study explored the clinical prognosis and lipidomics of hepatitis B virus steatohepatitic hepatocellular carcinoma (HBV-SHHCC) and aimed to identify a noninvasive and convenient method to diagnose this phenotype and guide treatment using MRI.

Methods: A total of 433 HBV-infected HCC patients were enrolled in this retrospective study. Survival data were analyzed using Cox regression analyses, and lipidomics was used to study HCC tissue composition. Logistic regression identified an independent predictor for HBV-SHHCC, and receiver-operating characteristic (ROC) analysis verified its discrimination.

Results: HBV-SHHCC patients had longer disease-free survival (DFS, p < 0.0001) and overall survival (OS) time (p = 0.00097). Compared with common HCC (cHCC), SHHCC was associated with significantly higher mean triacylglyceride (p = 0.010) and diacylglyceride contents (p = 0.002) in tumor tissues. Fat fraction (FF) was linearly correlated with lipid composition and fatty acid degradation (FAD) subtype, which could help in treatment options for HCC. The univariate and multivariate logistic regression indicated FF (p < 0.001) as an independent predictor for diagnosing this phenotype. ROC analysis confirmed excellent discrimination (area under the curve (AUC), 0.914; sensitivity, 92.3%; specificity, 78.7.0%). After using the optimal cutoff point, the DFS time of patients with SHHCC stratified by FF was significantly higher than that of patients with cHCC.

Conclusion: The biological behavior and prognosis of HBV-SHHCC were better than those of other types. FF is a valuable tool for the clinical diagnosis of SHHCC, prognosis prediction, and treatment guidance in patients with HCC.

Key points: Question Can the diagnosis of steatohepatitic hepatocellular carcinoma (SHHCC) be made noninvasively? Findings Fat fraction (FF) correlated with lipid composition and could be used to diagnose SHHCC with an AUC of 0.914, sensitivity of 92.3%, and specificity of 78.7%. Clinical relevance MRI-based FF could be used to diagnose HBV-related SHHCC, indicate prognosis, and guide the clinical treatment of patients with HCC.

核磁共振成像的脂肪分数定量可预测与 HBV 相关的脂肪性肝细胞癌的诊断和预后。
研究目的本研究探讨了乙型肝炎病毒脂肪性肝细胞癌(HBV-SHHCC)的临床预后和脂质组学,旨在确定一种无创、便捷的方法,利用磁共振成像诊断这种表型并指导治疗:这项回顾性研究共纳入了 433 例 HBV 感染的 HCC 患者。方法:这项回顾性研究共纳入了 433 例 HBV 感染的 HCC 患者,采用 Cox 回归分析法对生存数据进行了分析,并利用脂质组学研究了 HCC 组织的组成。逻辑回归确定了HBV-SHHCC的一个独立预测因子,受体运算特征(ROC)分析验证了该预测因子的辨别能力:结果:HBV-SHHCC 患者的无病生存期更长(DFS, p 结论:HBV-SHHCC 的生物学行为和预后与 HCC 的预后密切相关:HBV-SHHCC的生物学行为和预后优于其他类型。FF 是临床诊断 SHHCC、预测预后和指导 HCC 患者治疗的重要工具:问题 脂肪肝肝细胞癌(SHHCC)的诊断是否可以无创进行?研究结果 脂肪分数(FF)与脂质成分相关,可用于诊断 SHHCC,其 AUC 为 0.914,灵敏度为 92.3%,特异性为 78.7%。临床意义 基于 MRI 的脂肪分数可用于诊断与 HBV 相关的 SHHCC、预测预后并指导 HCC 患者的临床治疗。
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
European Radiology
European Radiology 医学-核医学
CiteScore
11.60
自引率
8.50%
发文量
874
审稿时长
2-4 weeks
期刊介绍: European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field. This is the Journal of the European Society of Radiology, and the official journal of a number of societies. From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.
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