Litcius/Paper detail

Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease

David Martí‐Aguado, Matías Fernández-Patón, Clara Alfaro‐Cervelló, Claudia Mestre‐Alagarda, Mónica Bauza, Ana Gallén-Peris, Víctor Merino, Salvador Benlloch, Judith Pérez‐Rojas, Antonio Ferrández, Víctor Puglia, Marta Gimeno‐Torres, Victoria Aguilera, Cristina Montón, Desamparados Escudero‐García, Ángel Alberich‐Bayarri, Miguel A. Serra, Luis Martí‐Bonmatí

2021Biomolecules17 citationsDOIOpen Access PDF

Abstract

Traditional histological evaluation for grading liver disease severity is based on subjective and semi-quantitative scores. We examined the relationship between digital pathology analysis and corresponding scoring systems for the assessment of hepatic necroinflammatory activity. A prospective, multicenter study including 156 patients with chronic liver disease (74% nonalcoholic fatty liver disease-NAFLD, 26% chronic hepatitis-CH etiologies) was performed. Inflammation was graded according to the Nonalcoholic Steatohepatitis (NASH) Clinical Research Network system and METAVIR score. Whole-slide digital image analysis based on quantitative (I-score: inflammation ratio) and morphometric (C-score: proportionate area of staining intensities clusters) measurements were independently performed. Our data show that I-scores and C-scores increase with inflammation grades (p < 0.001). High correlation was seen for CH (ρ = 0.85–0.88), but only moderate for NAFLD (ρ = 0.5–0.53). I-score (p = 0.008) and C-score (p = 0.002) were higher for CH than NAFLD. Our MATLAB algorithm performed better than QuPath software for the diagnosis of low-moderate inflammation (p < 0.05). C-score AUC for classifying NASH was 0.75 (95%CI, 0.65–0.84) and for moderate/severe CH was 0.99 (95%CI, 0.97–1.00). Digital pathology measurements increased with fibrosis stages (p < 0.001). In conclusion, quantitative and morphometric metrics of inflammatory burden obtained by digital pathology correlate well with pathologists’ scores, showing a higher accuracy for the evaluation of CH than NAFLD.

Topics & Concepts

MedicineDigital pathologyDiseasePathologyChronic liver diseaseDigital image analysisInternal medicineComputer scienceComputer visionCirrhosisLiver Disease Diagnosis and TreatmentLiver Diseases and ImmunityHepatitis C virus research
Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease | Litcius