RT Journal Article
T1 qFIBS: An Automated Technique for Quantitative Evaluation of Fibrosis, Inflammation, Ballooning, and Steatosis in Patients With Nonalcoholic Steatohepatitis.
A1 Liu, Feng
A1 Goh, George Boon-Bee
A1 Tiniakos, Dina
A1 Wee, Aileen
A1 Leow, Wei-Qiang
A1 Zhao, Jing-Min
A1 Rao, Hui-Ying
A1 Wang, Xiao-Xiao
A1 Wang, Qin
A1 Wan, Wei-Keat
A1 Lim, Kiat-Hon
A1 Romero-Gomez, Manuel
A1 Petta, Salvatore
A1 Bugianesi, Elisabetta
A1 Tan, Chee-Kiat
A1 Harrison, Stephen A
A1 Anstee, Quentin M
A1 Chang, Pik-Eu Jason
A1 Wei, Lai
AB Nonalcoholic steatohepatitis (NASH) is a common cause of chronic liver disease. Clinical trials use the NASH Clinical Research Network (CRN) system for semiquantitative histological assessment of disease severity. Interobserver variability may hamper histological assessment, and diagnostic consensus is not always achieved. We evaluate a second harmonic generation/two-photon excitation fluorescence (SHG/TPEF) imaging-based tool to provide an automated quantitative assessment of histological features pertinent to NASH. Images were acquired by SHG/TPEF from 219 nonalcoholic fatty liver disease (NAFLD)/NASH liver biopsy samples from seven centers in Asia and Europe. These were used to develop and validate qFIBS, a computational algorithm that quantifies key histological features of NASH. qFIBS was developed based on in silico analysis of selected signature parameters for four cardinal histopathological features, that is, fibrosis (qFibrosis), inflammation (qInflammation), hepatocyte ballooning (qBallooning), and steatosis (qSteatosis), treating each as a continuous rather than categorical variable. Automated qFIBS analysis outputs showed strong correlation with each respective component of the NASH CRN scoring (P  qFIBS is an automated tool that accurately quantifies the critical components of NASH histological assessment. It offers a tool that could potentially aid reproducibility and standardization of liver biopsy assessments required for NASH therapeutic clinical trials.
YR 2020
FD 2020-05-07
LK http://hdl.handle.net/10668/15277
UL http://hdl.handle.net/10668/15277
LA en
DS RISalud
RD Apr 8, 2025