MRI Tomoelastography to Assess the Combined Status of Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma.

IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Magnetic Resonance Imaging Pub Date : 2024-11-07 DOI:10.1002/jmri.29654
Linhui Zhong, Shichao Long, Yigang Pei, Wenguang Liu, Juan Chen, Yu Bai, Yijing Luo, Bocheng Zou, Jing Guo, Mengsi Li, Wenzheng Li
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Abstract

Background: Integrating vessels encapsulating tumor clusters (VETC) and microvascular invasion (MVI) (VM hereafter) is potentially useful in risk stratification of hepatocellular carcinoma (HCC). However, noninvasive assessment methods for VM are lacking.

Purpose: To investigate the diagnostic performance of tomoelastography in assessing the VM status in HCC.

Study type: Retrospective.

Population: One hundred sixty-eight patients with surgically confirmed HCC consisting of 115 training and 53 validation cohorts, divided into negative-VM and positive-VM groups with mild or severe-VMs. Of them, 127 patients completed the follow-up (median: 26.1 months).

Field strength/sequence: 3D multifrequency tomoelastography with a single-shot spin-echo echo-planar imaging sequence, and liver MRI including T1-weighted in-phase and opposed-phase gradient echo (GRE), T2-weighted turbo spin echo, diffusion-weighted imaging and dynamic contrast-enhanced T1-weighted GRE sequences at 3.0 T.

Assessment: Shear wave speed (c) and phase angle of the shear modulus (φ) were calculated on tomoelastograms. Imaging features were visually analyzed and clinical features were collected. Conventional models used clinical and imaging features while nomograms combined tomoelastography, clinical and imaging features.

Statistical tests: Univariable and multivariable logistic regression analyses, nomogram, area under the receiver operating characteristic curve (AUC), DeLong test, Kaplan-Meier analysis and log-rank test. P < 0.05 was considered statistically significant.

Results: Tumor-to-liver parenchyma ratio of c (cr) and tumor c were independent risk factors for positive-VM and severe-VM, respectively. In validation cohort, the nomograms including cr and tumor c performed significantly better than the conventional models for diagnosing positive-VM (0.84 [95% CI: 0.72-0.93] vs. 0.77 [95% CI: 0.64-0.88]) and severe-VM (0.86 [95% CI: 0.68-0.96] vs. 0.75 [95% CI: 0.55-0.89]). Patients with estimated positive-VM (9.3 months)/severe-VM (9.2 months) based on nomograms had shorter median recurrence-free survival than those with estimated negative-VM (>20.0 months)/mild-VM (18.0 months) in validation cohort.

Data conclusion: Tomoelastography based-nomograms showed good performance for noninvasively assessing VM status in patients with HCC.

Evidence level: 3 TECHNICAL EFFICACY: Stage 2.

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用磁共振成像断层弹性成像技术评估肝细胞癌中包裹肿瘤簇的血管和微血管侵犯的综合状况
背景:综合血管包裹肿瘤簇(VETC)和微血管侵犯(MVI)(以下简称VM)可能有助于肝细胞癌(HCC)的风险分层。目的:研究断层弹性成像技术在评估 HCC 中 VM 状态方面的诊断性能:研究类型:回顾性:研究对象: 168 名经手术确诊的 HCC 患者,包括 115 个训练队列和 53 个验证队列,分为轻度或重度 VM 阴性 VM 组和阳性 VM 组。其中,127 名患者完成了随访(中位数:26.1 个月):三维多频断层弹性成像采用单次自旋回波回声平面成像序列,肝脏磁共振成像包括T1加权同相和反相梯度回波(GRE)、T2加权涡轮自旋回波、弥散加权成像和3.0 T动态对比增强T1加权GRE序列:在断层弹性成像图上计算剪切波速度(c)和剪切模量相位角(φ)。对成像特征进行视觉分析,并收集临床特征。传统模型使用临床和成像特征,而提名图则结合了断层弹性成像、临床和成像特征:单变量和多变量逻辑回归分析、提名图、接收者操作特征曲线下面积(AUC)、DeLong 检验、Kaplan-Meier 分析和 log-rank 检验。P 结果肿瘤与肝实质比值c(cr)和肿瘤c分别是阳性-VM和重度-VM的独立危险因素。在验证队列中,在诊断阳性-VM(0.84 [95% CI: 0.72-0.93] vs. 0.77 [95% CI: 0.64-0.88])和重度-VM(0.86 [95% CI: 0.68-0.96] vs. 0.75 [95% CI: 0.55-0.89])方面,包括cr和肿瘤c的提名图明显优于传统模型。在验证队列中,根据提名图估计为阳性-VM(9.3 个月)/重度-VM(9.2 个月)的患者的中位无复发生存期短于估计为阴性-VM(>20.0 个月)/轻度-VM(18.0 个月)的患者:数据结论:基于断层弹性成像的提名图在无创评估HCC患者的VM状态方面表现良好。
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来源期刊
CiteScore
9.70
自引率
6.80%
发文量
494
审稿时长
2 months
期刊介绍: The Journal of Magnetic Resonance Imaging (JMRI) is an international journal devoted to the timely publication of basic and clinical research, educational and review articles, and other information related to the diagnostic applications of magnetic resonance.
期刊最新文献
Editorial for "Assessment the Impact of IDH Mutation Status on MRI Assessments of White Matter Integrity in Glioma Patients: Insights From Peak Width of Skeletonized Mean Diffusivity and Free Water Metrics". On the Origin of fMRI Species. Seizure Burden and Clinical Risk Factors in Glioma-Related Epilepsy: Insights From MRI Voxel-Based Lesion-Symptom Mapping. Issue Information Assessing the Performance of Artificial Intelligence Assistance for Prostate MRI: A Two-Center Study Involving Radiologists With Different Experience Levels.
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