Published online Jul 14, 2016. doi: 10.3748/wjg.v22.i26.6057
Peer-review started: March 3, 2016
First decision: April 1, 2016
Revised: April 5, 2016
Accepted: April 20, 2016
Article in press: April 20, 2016
Published online: July 14, 2016
Processing time: 126 Days and 16.4 Hours
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 fibrosis.
METHODS: 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 investigated.
RESULTS: 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.
Core tip: Superb microvascular imaging (SMI) is an innovative Doppler ultrasound technology that employs a unique algorithm to allow for the visualization of minute vessels with slow blood flow. In the present study, we identified the hepatic vascular architecture of patients with hepatitis C virus (HCV) using SMI and investigated the use of SMI in the evaluation of liver fibrosis. SMI allowed for the detailed delineation of the vascular architecture in chronic liver disease patients. Significant differences were found in the SMI pattern distribution and the fibrosis stage. SMI appears to be a reliable tool for noninvasively detecting significant fibrosis or cirrhosis in patients with HCV.