Dynamic contrast-enhanced ultrasonography with sonazoid predicts microvascular invasion in early-stage hepatocellular carcinoma

肝细胞癌 医学 病态的 超声波 灌注 阶段(地层学) 放射科 超声科 超声造影 前瞻性队列研究 薄壁组织 核医学 病理 内科学 古生物学 生物
作者
Zhewei Huang,Jun-Yi Xin,Lingling Wu,Hongchang Luo,Kaiyan Li
出处
期刊:British Journal of Radiology [Wiley]
卷期号:96 (1151) 被引量:1
标识
DOI:10.1259/bjr.20230164
摘要

Microvascular invasion (MVI) is an independent risk factor for the early recurrence and poor survival of hepatocellular carcinoma (HCC). This study aims to investigate the potential clinical value of dynamic contrast-enhanced ultrasound (DCE-ultrasound)-Sonazoid in pre-operatively assessing MVI in HCC.This single centre prospective study included 140 patients with histopathologically confirmed single HCC lesions. Patients were classified according to the post-operative pathological information presence of MVI: MVI+ group (n = 32) and MVI- group (n = 108). All patients underwent DCE-ultrasound within 1 week before surgery. The quantitative perfusion parameters of HCC lesions, margins of HCC lesions, and distal liver parenchyma were obtained and analyzed.Clinicopathological (serum alpha-fetoprotein, Des-gamma-carboxyprothrombin, and pathological grade) and grayscale imaging features (tumor size) were significantly different between the MVI+ and MVI- groups (p < 0.05). Further quantitative analysis showed that when comparing the MVI+ and MVI- groups, half-decrease time and wash-out rate of HCC lesions and peak enhancement in the arterial phase of difference between the margin area of HCC and distal liver parenchyma were significantly different (p = 0.045, p = 0.035, and p = 0.023, respectively). Combining the above three quantitative parameters, the accuracy, sensitivity, specificity, positive-predictive value, and negative-predictive value were 69.3% (97/140), 37.8% (17/45), 84.3% (80/95), 53.1% (17/32), 74.1% (80/108), respectively.DCE-ultrasound with quantitative perfusion analysis has the potential to predict MVI in HCC lesions.DCE-ultrasound with quantitative perfusion analysis has the potential to predict MVI in HCC lesions.
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