Liver fibrosis analysis using digital pathology.
Med Mol Morphol
; 57(3): 161-166, 2024 Sep.
Article
en En
| MEDLINE
| ID: mdl-38980407
ABSTRACT
Digital pathology has enabled the noninvasive quantification of pathological parameters. In addition, the combination of digital pathology and artificial intelligence has enabled the analysis of a vast amount of information, leading to the sharing of much information and the elimination of knowledge gaps. Fibrosis, which reflects chronic inflammation, is the most important pathological parameter in chronic liver diseases, such as viral hepatitis and metabolic dysfunction-associated steatotic liver disease. It has been reported that the quantitative evaluation of various fibrotic parameters by digital pathology can predict the prognosis of liver disease and hepatocarcinogenesis. Liver fibrosis evaluation methods include 1 fiber quantification, 2 elastin and collagen quantification, 3 s harmonic generation/two photon excitation fluorescence (SHG/TPE) microscopy, and 4 Fibronest™..ãIn this review, we provide an overview of role of digital pathology on the evaluation of fibrosis in liver disease and the characteristics of recent methods to assess liver fibrosis.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Cirrosis Hepática
Límite:
Humans
Idioma:
En
Revista:
Med Mol Morphol
Asunto de la revista:
BIOLOGIA MOLECULAR
/
PATOLOGIA
Año:
2024
Tipo del documento:
Article
País de afiliación:
Japón