ArticleFrontiers in medicine2021
Automated Digital Quantification of Pulmonary Fibrosis in Human Histopathology Specimens.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
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- Multidisciplinary Approach to the Diagnosis of Idiopathic Interstitial Pneumonias: Focus on the Pathologist's Key Role.International journal of molecular sciences · 2024Review
- Fractal analysis of extracellular matrix for observer-independent quantification of intestinal fibrosis in Crohn's disease.Scientific reports · 2024Article
- Diagnosis of interstitial lung diseases: from Averill A. Liebow to artificial intelligence.Journal of pathology and translational medicine · 2024Review
- Quantification of fibrosis extend and airspace availability in lung: A semi-automatic ImageJ/Fiji toolbox.PloS one · 2024Article
- Fibroblast activation protein is a cellular marker of fibrotic activity in canine idiopathic pulmonary fibrosis.Frontiers in veterinary science · 2024Article
- Effects of the Oral Angiotensin II Type 2 Receptor Agonist C21 in Sugen-Hypoxia Induced Pulmonary Hypertension in Rats.International journal of molecular sciences · 2023Article
- Pulmonary fibrosis model of mice induced by different administration methods of bleomycin.BMC pulmonary medicine · 2023Article
- Novel diagnostic techniques in interstitial lung disease.Frontiers in medicine · 2023Review
- Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease.PloS one · 2023Article
- Diagnosing interstitial lung disease by multidisciplinary discussion: A review.Frontiers in medicine · 2022Review
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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, and macrophage content. Automated fibrosis quantification based on parenchymal tissue density and fibrosis score measurements was compared to pulmonary function values or Ashcroft score. Automated fibrosis quantification of HPSPF lung explants was significantly higher than that of IPF lung explants or biopsies and was also significantly higher in IPF lung explants than in IPF biopsies. A high correlation coefficient was found between some automated quantification measurements and lung function values for the three sample groups. Automated quantification of collagen content in lung sections used for digital image analyses was similar in the three groups. CD68 immunolabeled cell measurements were significantly higher in HPSPF explants than in IPF biopsies. In conclusion, computerized image analysis provides access to accurate, reader-independent pulmonary fibrosis quantification in human histopathology samples. Fibrosis, collagen content, and immunostained cells can be automatically and individually quantified from serial sections. Robust automated digital image analysis of human lung samples enhances the available tools to quantify and study fibrotic lung disease.
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