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Heterogeneous Pathological Changes in Liver Lobes During Liver Disease: A Perspective Review.

Authors :
Bernardo, Carla Cristina de Oliveira
Godoy, Guilherme
Eik Filho, Wilson
Curi, Rui
Bazotte, Roberto Barbosa
Source :
Metabolic Syndrome & Related Disorders; Sep2024, Vol. 22 Issue 7, p494-498, 5p
Publication Year :
2024

Abstract

Liver diseases have a global prevalence of 25%, accounting for 4% of all deaths worldwide, and are associated with a 36% increased risk of fatal and nonfatal cardiovascular events. Metabolic dysfunction-associated steatotic liver disease constitutes the liver expression of metabolic syndrome and represents the primary type of liver disease. Microscopical analysis of biopsies, which allows the evaluation of a small portion of tissue with inferences made to the entire organ, is considered the gold standard for determining the presence of liver diseases. However, potential sampling errors in liver biopsies are conceivable because the obtained tissue represents only a tiny fraction of the entire liver mass and may not accurately reflect the true pathological state. Studies have demonstrated the existence of sampling errors in liver biopsies, particularly concerning the severity of inflammation, degree of fibrosis, and the presence of cirrhosis. Also, clinical studies have shown that histopathological abnormalities are better detected in humans when liver samples are collected from both the right and the left lobes. However, a gap exists in clinical investigation to clarify the role of differences between these lobes in improving the diagnostic and prognostic for liver diseases. Building upon the heterogeneous nature of pathological alterations observed in liver lobes, this perspective review provided recommendations to enhance the precision of diagnosis and prognostic accuracy of liver diseases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15404196
Volume :
22
Issue :
7
Database :
Complementary Index
Journal :
Metabolic Syndrome & Related Disorders
Publication Type :
Academic Journal
Accession number :
179576711
Full Text :
https://doi.org/10.1089/met.2023.0311