Suppr超能文献

基于钆塞酸二钠增强 MRI 术前预测肝细胞癌肿瘤簇包裹血管的列线图模型

Nomogram Estimating Vessels Encapsulating Tumor Clusters in Hepatocellular Carcinoma From Preoperative Gadoxetate Disodium-Enhanced MRI.

机构信息

Department of Interventional Radiology, the First Affiliated Hospital of Soochow University, Suzhou, China.

Department of Radiology, the Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China.

出版信息

J Magn Reson Imaging. 2023 Jun;57(6):1893-1905. doi: 10.1002/jmri.28488. Epub 2022 Oct 19.

Abstract

BACKGROUND

Vessels encapsulating tumor clusters (VETC) pattern is a novel microvascular pattern associated with poor outcomes of hepatocellular carcinoma (HCC). Preoperative estimation of VETC has potential to improve treatment decisions.

PURPOSE

To develop and validate a nomogram based on gadoxetate disodium-enhanced MRI for estimating VETC in HCC and to evaluate whether the estimations are associated with recurrence after hepatic resection.

STUDY TYPE

Retrospective.

POPULATION

A total of 320 patients with HCC and histopathologic VETC pattern assessment from three centers (development cohort:validation cohort = 173:147).

FIELD STRENGTH/SEQUENCE: A3.0  T/turbo spin-echo T2-weighted, spin-echo echo-planar diffusion-weighted, and 3D T1-weighted gradient-echo sequences.

ASSESSMENT

A set of previously reported VETC- and/or prognosis-correlated qualitative and quantitative imaging features were assessed. Clinical and imaging variables were compared based on histopathologic VETC status to investigate factors indicating VETC pattern. A regression-based nomogram was then constructed using the significant factors for VETC pattern. The nomogram-estimated VETC stratification was assessed for its association with recurrence.

STATISTICAL TESTS

Fisher exact test, t-test or Mann-Whitney test, logistic regression analyses, Harrell's concordance index (C-index), nomogram, Kaplan-Meier curves and log-rank tests. P value < 0.05 was considered statistically significant.

RESULTS

Pathological VETC pattern presence was identified in 156 patients (development cohort:validation cohort = 83:73). Tumor size, presence of heterogeneous enhancement with septations or with irregular ring-like structures, and necrosis were significant factors for estimating VETC pattern. The nomogram incorporating these indicators showed good discrimination with a C-index of 0.870 (development cohort) and 0.862 (validation cohort). Significant differences in recurrence rates between the nomogram-estimated high-risk VETC group and low-risk VETC group were found (2-year recurrence rates, 50.7% vs. 30.3% and 49.6% vs. 31.8% in the development and validation cohorts, respectively).

DATA CONCLUSION

The nomogram integrating gadoxetate disodium-enhanced MRI features was associated with VETC pattern preoperatively and with postoperative recurrence in patients with HCC.

EVIDENCE LEVEL

4 TECHNICAL EFFICACY: Stage 2.

摘要

背景

包裹肿瘤簇的血管(VETC)模式是一种与肝细胞癌(HCC)不良预后相关的新型微血管模式。术前对 VETC 的评估有可能改善治疗决策。

目的

建立并验证基于钆塞酸二钠增强 MRI 的 HCC 中 VETC 预测模型,并评估其预测值与肝切除术后复发的相关性。

研究类型

回顾性。

人群

来自三个中心的共 320 例 HCC 患者和组织病理学 VETC 模式评估(发展队列:验证队列=173:147)。

场强/序列:3.0T/turbo 自旋回波 T2 加权、自旋回波回波平面扩散加权和 3D T1 梯度回波序列。

评估

评估了一组先前报道的与 VETC 和/或预后相关的定性和定量成像特征。根据组织病理学 VETC 状态比较临床和影像学变量,以探讨提示 VETC 模式的因素。然后使用 VETC 模式的显著因素构建基于回归的列线图。评估列线图预测的 VETC 分层与复发的相关性。

统计学检验

Fisher 确切检验、t 检验或 Mann-Whitney 检验、逻辑回归分析、Harrell 一致性指数(C 指数)、列线图、Kaplan-Meier 曲线和对数秩检验。P 值<0.05 被认为具有统计学意义。

结果

156 例患者存在病理学 VETC 模式(发展队列:验证队列=83:73)。肿瘤大小、存在分隔或不规则环状结构的异质性增强、坏死是预测 VETC 模式的显著因素。包含这些指标的列线图具有良好的判别能力,发展队列和验证队列的 C 指数分别为 0.870 和 0.862。在列线图预测的高危 VETC 组和低危 VETC 组之间发现了复发率的显著差异(发展队列和验证队列的 2 年复发率分别为 50.7% vs. 30.3%和 49.6% vs. 31.8%)。

数据结论

该列线图整合了钆塞酸二钠增强 MRI 特征,与 HCC 患者的 VETC 模式术前相关,并与术后复发相关。

证据水平

4 级技术功效:2 级。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验