Automated Digital Quantification of Pulmonary Fibrosis in Human Histopathology Specimens.
Ontology highlight
ABSTRACT: Pulmonary fibrosis is characterized by abnormal interstitial extracellular matrix and cellular accumulations. Methods quantifying fibrosis severity in lung histopathology samples are semi-quantitative, subjective, and analyze only portions of sections. We sought to determine whether automated computerized imaging analysis shown to continuously measure fibrosis in mice could also be applied in human samples. A pilot study was conducted to analyze a small number of specimens from patients with Hermansky-Pudlak syndrome pulmonary fibrosis (HPSPF) or idiopathic pulmonary fibrosis (IPF). Digital images of entire lung histological serial sections stained with picrosirius red and alcian blue or anti-CD68 antibody were analyzed using dedicated software to automatically quantify fibrosis, collagen,
SUBMITTER: Testa LC
PROVIDER: S-EPMC8240807 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
ACCESS DATA