Diagnostic Accuracy Of Apparent Diffusion Coefficient Values Combined With Γ-Glutamyl Transpeptidase-To-Platelet Ratio Parameters For Predicting Hepatitis B-Related Fibrosis
Year: 2022
Type: preprint
Study design: Observational Study
Abstract: Background: The accuracy of non-invasive liver fibrosis diagnosis based on the apparent diffusion coefficient value combined with the γ-glutamyl transpeptidase-to-platelet ratio model to predict the degree of hepatitis B-related fibrosis has not been reported. This study aimed to evaluated the diagnostic efficacy of the apparent diffusion coefficient value combined with the γ-glutamyl transpeptidase-to-platelet ratio for liver fibrosis grading.Methods: The data of 180 patients with chronic hepatitis B diagnosed by liver biopsy were analyzed.The apparent diffusion coefficient value, γ-glutamyl transpeptidase-to-platelet ratio, as well as their combination were assessed in different cirrhosis stages using receiver operating characteristic curve analysis to evaluate their value in diagnosing hepatic fibrosis in chronic hepatitis B patients.Results: We observed that liver fibrosis stages were inversely associated with apparent diffusion coefficient values (r=−0.691, P<0.001), and positively associated with the γ-glutamyl transpeptidase-to-platelet ratio parameters (r=0.502, P<0.001). The area under the curve for diagnostic efficacy of apparent diffusion coefficient values, the γ-glutamyl transpeptidase-to-platelet ratio parameters, and their combination for F≥2 liver fibrosis was 0.831, 0.749, and 0.858, respectively, and for F≥3 was 0.872, 0.771, and 0.903, respectively.Conclusions: Using apparent diffusion coefficient values combined with γ-glutamyl transpeptidase-to-platelet ratio parameters was better than using apparent diffusion coefficient values or γ-glutamyl transpeptidase-to-platelet ratio parameters alone (all P<0.01). The combined diagnostic tool may improve the accuracy of chronic hepatitis B-related liver fibrosis diagnosis, especially for F≥3.
Source: Research Square
Institution: Huaian First People’s Hospital
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4206326751