Virtual hepatic venous pressure gradient with CT angiography (Chess 1601): A prospective multicenter study for the noninvasive diagnosis of portal hypertension

Xiaolong Qi, Weimin An, Fuquan Liu, Ruizhao Qi, Lei Wang, Yanna Liu, Chuan Liu, Yi Xiang, Jialiang Hui, Zhao Liu, Xingshun Qi, Changchun Liu, Baogang Peng, Huiguo Ding, Yongping Yang, Xiaoshun He, Jinlin Hou, Jie Tian, Zhiwei Li

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Purpose: To develop and validate a computational model for estimating hepatic venous pressure gradient (HVPG) based on CT angiographic images, termed virtual HVPG, to enable the noninvasive diagnosis of portal hypertension in patients with cirrhosis. Materials and Methods: In this prospective multicenter diagnostic trial (ClinicalTrials.gov identifier: NCT02842697), 102 consecutive eligible participants (mean age, 47 years [range, 21–75 years]; 68 men with a mean age of 44 years [range, 21–73 years] and 34 women with a mean age of 52 years [range, 24–75 years]) were recruited from three high-volume liver centers between August 2016 and April 2017. All participants with cirrhosis of various causes underwent transjugular HVPG measurement, Doppler US, and CT angiography. Virtual HVPG was developed with a three-dimensional reconstructed model and computational fluid dynamics. Results: In the training cohort (n = 29), the area under the receiver operating characteristic curve (AUC) of virtual HVPG in the prediction of clinically significant portal hypertension (CSPH) was 0.83 (95% confidence interval [CI]: 0.58, 1.00). The diagnostic performance was prospectively confirmed in the validation cohort (n = 73), with an AUC of 0.89 (95% CI: 0.81, 0.96). Inter- and intraobserver agreement was 0.88 and 0.96, respectively, suggesting the good reproducibility of virtual HVPG measurements. There was good correlation between virtual HVPG and invasive HVPG (R = 0.61, P , .001), with a satisfactory performance to rule out (7.3 mm Hg) and rule in (13.0 mm Hg) CSPH. Conclusion: The accuracy of a computational model of virtual hepatic venous pressure gradient (HVPG) shows significant correlation with invasive HVPG. The virtual HVPG also showed a good performance in the noninvasive diagnosis of clinically significant portal hypertension in cirrhosis.

Original languageEnglish (US)
Pages (from-to)370-377
Number of pages8
JournalRadiology
Volume290
Issue number3
DOIs
StatePublished - Mar 1 2019

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Virtual hepatic venous pressure gradient with CT angiography (Chess 1601): A prospective multicenter study for the noninvasive diagnosis of portal hypertension'. Together they form a unique fingerprint.

Cite this