Diffusion-based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy.

IF 3.5 2区 医学 Q2 ONCOLOGY
Jiejun Chen, Wei Sun, Wentao Wang, Caixia Fu, Robert Grimm, Mengsu Zeng, Shengxiang Rao
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引用次数: 0

Abstract

Background: To explore the capability of diffusion-based virtual MR elastography (vMRE) in the preoperative prediction of recurrence in hepatocellular carcinoma (HCC) and to investigate the underlying relevant histopathological characteristics.

Methods: Between August 2015 and December 2016, patients underwent preoperative MRI examination with a dedicated DWI sequence (b-values: 200,1500 s/mm2) were recruited. The ADC values and diffusion-based virtual shear modulus (μdiff) of HCCs were calculated and MR morphological features were also analyzed. The Cox proportional hazards model was used to identify the risk factors associated with tumor recurrence. A preoperative radiologic model and postoperative model including pathological features were built to predict tumor recurrence after hepatectomy.

Results: A total of 87 patients with solitary surgically confirmed HCCs were included in this study. Thirty-five patients (40.2%) were found to have tumor recurrence after hepatectomy. The preoperative model included higher μdiff and corona enhancement, while the postoperative model included higher μdiff, microvascular invasion, and histologic tumor grade. These factors were identified as significant prognostic factors for recurrence-free survival (RFS) (all p < 0.05). The HCC patients with μdiff values > 2.325 kPa showed poorer 5-year RFS after hepatectomy than patients with μdiff values ≤ 2.325 kPa (p < 0.001). Moreover, the higher μdiff values was correlated with the expression of CK19 (3.95 ± 2.37 vs. 3.15 ± 1.77, p = 0.017) and high Ki-67 labeling index (4.22 ± 1.63 vs. 2.72 ± 2.12, p = 0.001).

Conclusions: The μdiff values related to the expression of CK19 and Ki-67 labeling index potentially predict RFS after hepatectomy in HCC patients.

基于弥散的虚拟磁共振弹性成像预测肝切除术后单发肝细胞癌的复发。
背景:探讨基于弥散的虚拟磁共振弹性成像(vMRE)在肝细胞癌(HCC)术前预测复发的能力,并研究相关组织病理学特征:在2015年8月至2016年12月期间,招募了使用专用DWI序列(b值:200,1500 s/mm2)进行术前MRI检查的患者。计算HCC的ADC值和基于扩散的虚拟剪切模量(μdiff),并分析MR形态特征。Cox比例危险模型用于确定与肿瘤复发相关的危险因素。建立了术前放射学模型和包括病理特征在内的术后模型,以预测肝切除术后肿瘤复发:本研究共纳入了 87 例经手术确诊的单发 HCC 患者。结果:本研究共纳入 87 例经手术确诊的单发 HCC 患者,发现 35 例患者(40.2%)在肝切除术后肿瘤复发。术前模型包括较高的μdiff和电晕增强,而术后模型包括较高的μdiff、微血管侵犯和肿瘤组织学分级。这些因素被认为是无复发生存率(RFS)的重要预后因素(所有 p diff 值 > 2.325 kPa 的患者在肝切除术后的 5 年 RFS 都比 μdiff 值 ≤ 2.325千帕(p diff值与CK19的表达(3.95 ± 2.37 vs. 3.15 ± 1.77,p = 0.017)和高Ki-67标记指数(4.22 ± 1.63 vs. 2.72 ± 2.12,p = 0.001)相关:结论:与CK19表达相关的μdiff值和Ki-67标记指数可预测HCC患者肝切除术后的RFS。
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
Cancer Imaging
Cancer Imaging ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
7.00
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Cancer Imaging is an open access, peer-reviewed journal publishing original articles, reviews and editorials written by expert international radiologists working in oncology. The journal encompasses CT, MR, PET, ultrasound, radionuclide and multimodal imaging in all kinds of malignant tumours, plus new developments, techniques and innovations. Topics of interest include: Breast Imaging Chest Complications of treatment Ear, Nose & Throat Gastrointestinal Hepatobiliary & Pancreatic Imaging biomarkers Interventional Lymphoma Measurement of tumour response Molecular functional imaging Musculoskeletal Neuro oncology Nuclear Medicine Paediatric.
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