Back to Search Start Over

Characterizing alcohol-related and metabolic dysfunction-associated steatotic liver disease cirrhosis via fibrotic pattern analysis.

Authors :
Fukushima, Masanori
Miyaaki, Hisamitsu
Nakao, Yasuhiko
Sasaki, Ryu
Haraguchi, Masafumi
Takahashi, Kosuke
Ozawa, Eisuke
Miuma, Satoshi
Akazawa, Yuko
Soyama, Akihiko
Eguchi, Susumu
Okano, Shinji
Nakao, Kazuhiko
Source :
Scientific Reports. 10/10/2024, Vol. 14 Issue 1, p1-11. 11p.
Publication Year :
2024

Abstract

This study aimed to address the diagnostic challenges in distinguishing between alcohol-related liver disease (ALD) and metabolic dysfunction-associated steatotic liver disease (MASLD). We utilized whole-slide imaging technology to conduct a comprehensive digital analysis of liver specimens collected from patients undergoing transplantation. This study included 36 and 17 patients with ALD and MASLD cirrhosis, respectively, who underwent transplantation at our institution. Digital slides were analyzed for fibrosis patterns using FibroNestâ„¢. Patient background characteristics were comparable between ALD (n = 36) and MASLD (n = 17) groups, except for sex. The ALD group exhibited thicker collagen per strand, longer and more flexural fibrosis, and a more heterogeneous distribution than the MASLD group. In patients with ALD and concomitant metabolic dysfunction, fiber distribution became relatively uniform, resembling MASLD. Application of the phenotypic fibrosis composite score achieved 100% sensitivity and specificity for ALD/MASLD diagnosis. Digital pathological analysis of the fibrosis patterns showed morphological differences between ALD and MASLD. This approach holds promise for histological differentiation, providing valuable insights beyond the current definitions based solely on alcohol intake. This study emphasizes the potential of digital pathology in refining the diagnostic criteria for hepatic disorders. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
14
Issue :
1
Database :
Academic Search Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
180214671
Full Text :
https://doi.org/10.1038/s41598-024-73739-4