对比增强超声肝显像报告及数据系统在鉴别肝细胞癌及肝转移危险患者中的应用

Annals of medicine Pub Date : 2025-12-01 Epub Date: 2024-12-19 DOI:10.1080/07853890.2024.2442072
Weiqin Huang, Ruoxuan Lin, Zhongshi Du, Zhougui Wu, Xiaohui Ke, Lina Tang
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引用次数: 0

摘要

背景:肝细胞癌(HCC)和转移性肝肿瘤(MLT)是最常见的肝脏恶性病变,每一种都需要不同的治疗方法。准确区分这些恶性肿瘤对于适当的治疗计划和预后至关重要。然而,对比增强超声肝脏成像报告和数据系统(CEUS-LI-RADS)在这种分化中的表现数据有限。目的:评价超声- li - rads在HCC和MLT两种肿瘤高危人群中的诊断效果。方法:2017年6月至2022年1月,108例HCC患者和138例经病理诊断的MLT患者纳入本回顾性研究。两名放射科医生独立审查了病灶的CEUS特征和肝脏成像报告和数据系统(LI-RADS)类别,并基于他们的共识,我们计算了诊断性能,包括受者工作特征曲线下的面积,CEUS-LI-RADS标准的敏感性,特异性和准确性。结果:CEUS LI-RADS 5类(CEUS- lr -5)预测HCC的敏感性、特异性和准确性分别为49.1%(95%置信区间(CI) 39.3-58.9)、97.1% (95%CI 92.7-99.2)和76%,而LI-RADS M类(LR-M)诊断MLT的相应值分别为89.1% (95%CI 82.7-93.8)、72.2% (95%CI 62.8-80.4)和81.7%。根据目前的LR-M标准,由于早期戒烟(45-60岁),一小部分hcc被归类为LR-M。在对MLT亚组的分析中,我们发现肿瘤大小影响该亚组中LI-RADS (LR)分类的分布(p = 0.037),较小(≤3cm)的肿瘤中LI-RADS第3类(LR-3)分类的发生率高于较大的肿瘤。此外,LR-3转移更常以血管供应不足为特征。结论:超声造影- li - rads在区分HCC和MLT方面具有很高的特异性,为临床决策提供了可靠的无创诊断工具。这些发现在临床上具有重要意义,因为它们可以改善患者管理和治疗结果,并且它们强调了未来研究的必要性,以改进和扩大CEUS-LI-RADS在不同临床环境中的应用。
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Performance of contrast-enhanced ultrasound liver imaging reporting and data system for differentiation of patients at risk of hepatocellular carcinoma and liver metastasis.

Background: Hepatocellular carcinoma (HCC) and metastatic liver tumors (MLT) are the most common malignant liver lesions, each requiring distinct therapeutic approaches. Accurate differentiation between these malignancies is critical for appropriate treatment planning and prognostication. However, there is limited data on the performance of contrast-enhanced ultrasound liver imaging reporting and data system (CEUS-LI-RADS) in this differentiation.

Objective: To evaluate the diagnostic efficacy of the CEUS-LI-RADS in distinguishing between HCC and MLT in an expanded population at risk for both tumors.

Methods: Between June 2017 and January 2022, 108 patients with HCC and 138 patients with MLT who were pathologically diagnosed, where included in this retrospective study. Two radiologists independently reviewed the CEUS features and liver imaging reporting and data system (LI-RADS) categories of the lesions, and based on their consensus, we calculated the diagnostic performance, including the area under the receiver operating characteristic curve, sensitivity, specificity, and accuracy of the CEUS-LI-RADS criteria.

Results: The sensitivity, specificity, and accuracy of CEUS LI-RADS category 5 (CEUS-LR-5) for predicting HCC were 49.1% [95% confidence interval (CI)) 39.3-58.9], 97.1% (95% CI 92.7-99.2), and 76%, respectively, whereas the corresponding values for LI-RADS category M (LR-M) for diagnosing MLT were 89.1% (95%CI 82.7-93.8), 72.2% (95%CI 62.8-80.4), and 81.7%, respectively. Based on current LR-M criteria, a small proportion of HCCs were classified as LR-M due to the presence of early cessation (45-60s). In the analysis of the MLT subgroup, we found that the tumor size affects the distribution of LI-RADS (LR) classification in the subgroup (p = 0.037), and LI-RADS category 3 (LR-3) classification was observed more frequently in tumors of small size (≤3cm) than those of larger size. In addition, LR-3 metastases were more frequently characterized by hypovascular supply.

Conclusions: CEUS-LI-RADS demonstrates high specificity in distinguishing HCC from MLT, providing a reliable noninvasive diagnostic tool that can enhance clinical decision-making. These findings are clinically significant as they can improve patient management and treatment outcomes, and they underscore the need for future research to refine and expand the use of CEUS-LI-RADS in diverse clinical settings.

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