Visualizing the hepatic vascular architecture using superb microvascular imaging in patients with hepatitis C virus: A novel technique

作     者：Hidekatsu Kuroda Tamami Abe Keisuke Kakisaka Yudai Fujiwara Yuichi Yoshida Akio Miyasaka Kazuyuki Ishida Hideaki Ishida Tamotsu Sugai Yasuhiro Takikawa 

作者机构：Division of Hepatology Department of Internal Medicine Iwate Medical University School of Medicine Department of Molecular Diagnostic Pathology Iwate Medical University Center of Diagnostic Ultrasound Akita Red Cross Hospital 

出 版 物：《World Journal of Gastroenterology》 (世界胃肠病学杂志（英文版）)

年 卷 期：2016年第22卷第26期

页      面：6057-6064页

核心收录：

学科分类：1004[医学-公共卫生与预防医学(可授医学、理学学位)] 100401[医学-流行病与卫生统计学] 10[医学] 

基　　金：Japan Society for the Promotion of Science  JSPS  (16K08655) 

主　　题：Superb microvascular imaging Number of vascular trees Chronic liver disease Ultrasound Liver fibrosis CD34 

摘      要：AIM: To identify the hepatic vascular architecture of patients with hepatitis C virus (HCV) using superb microvascular imaging (SMI) and investigate the use of SMI in the evaluation of liver ***: SMI was performed in 100 HCV patients. SMI images were classified into five types according to the vascular pattern, and these patterns were compared with the fibrosis stage. Moreover, the images were analyzed to examine vascularity by integrating the number of SMI signals in the region of interest ROI [number of vascular trees (VT)]. The number of VT, fibrosis stage, serum parameters of liver function, and CD34 expression were ***: There was a significant difference between SMI distribution pattern and fibrosis stage (P 0.001). The mean VT values in each of the fibrosis stages were as follows: 26.69 ± 7.08 in F0, 27.72 ± 9.32 in F1, 36.74 ± 9.23 in F2, 37.36 ± 5.32 in F3, and 58.14 ± 14.08 in F4. The VT showed excellent diagnostic ability for F4 [area under the receiver operator characteristic (AUROC): 0.911]. The VT was significantly correlated with the CD34 labeling index (r = 0.617, P 0.0001).CONCLUSION: SMI permitted the detailed delineation of the vascular architecture in chronic liver disease. SMI appears to be a reliable tool for noninvasively detecting significant fibrosis or cirrhosis in HCV patients.