对比增强超声联合微流成像在手术前预测肝癌微血管侵犯的价值。

Yingtan Zhang, Xiao Chen, Peipei Li, Jiesi Zhang, Qiujie Yu, Li Li
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引用次数: 0

摘要

目的评估对比增强超声(CEUS)联合微血流成像(MFI)对肝细胞癌(HCC)微血管侵犯(MVI)的术前预测价值:我们的研究对80例HCC患者进行了回顾性分析。根据术后病理的金标准,将患者分为 MVI 阳性组(39 例)和 MVI 阴性组(41 例)。我们分析了 CEUS 与 MVI 以及 MFI 的相关性,确定了 MVI 阳性发生的独立风险因素,并分析了每个独立风险因素及其组合在术前预测 MVI 的预测效果:我们的研究共纳入 80 例患者,其中 MVI 阳性组 39 例,MVI 阴性组 41 例,MVI 阳性率为 48.8%。通过单变量分析和多变量分析发现,两组患者的增强范围扩展、冲洗开始时间和CEUS-MFI差异有统计学意义,是MVI阳性的独立危险因素。在预测 HCC MVI 方面,三个独立风险因素的组合比单一风险因素更有效:结论:CEUS 联合 MFI 可用于 HCC MVI 的术前预测,并能为个体化临床治疗提供有意义的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The value of contrast-enhanced ultrasound combined with microflow imaging in predicting microvascular invasion of hepatocellular carcinoma before operation.

Objective: To evaluate the preoperative predictive value of contrast-enhanced ultrasound (CEUS) combined with microflow imaging (MFI) in microvascular invasion (MVI) of hepatocellular carcinoma (HCC).

Methods: In our study, 80 patients with HCC were analyzed retrospectively. According to the gold standard of postoperative pathology, the patients were divided into MVI positive group (n = 39) and MVI negative group (n = 41). we were to analyze the correlation between CEUS and MVI in combination with MFI, to identify independent risk factors for the occurrence of MVI positive, and to analyze the predictive efficacy of every independent risk factor and their combination in preoperative prediction of MVI.

Results: In our study, 80 patients were enrolled, including 39 patients in the MVI-positive group and 41 patients in the MVI-negative group, with a MVI-positive rate of 48.8%. By univariate analysis and multivariate analysis, it was found that there were statistically significant differences in enhancement range extension, start time of wash out and CEUS-MFI between the two groups, which were independent risk factors for MVI-positive. The combination of three independent risk factors is more effective than single one in predicting MVI of HCC.

Conclusions: CEUS combined with MFI is feasible for the preoperative prediction of MVI in HCC, and can provides meaningful help for individualized clinical treatment.

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