Granulomatous liver disease in Thailand: a 20-year retrospective clinicoradiopathological analysis

Infectious causes, especially mycobacterial infections, remain the primary aetiology of GLD in Thailand. Granuloma types are not pathognomonic of specific diseases, emphasising the need for extensive evaluation beyond liver biopsy to determine the underlying aetiology.

Authors

Institutions

Publication Details

Journal
BMJ Open Gastroenterology
Published
2025-03-01
DOI
https://doi.org/10.1136/bmjgast-2024-001675
Primary Topic
Sarcoidosis and Beryllium Toxicity Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Granulomatous liver disease in Thailand: a 20-year retrospective clinicoradiopathological analysis

Naichaya Chamroonkul, Apichat Kaewdech, Siwanon Nawalerspanya, Pimsiri Sripongpun
BMJ Open Gastroenterology
Sarcoidosis and Beryllium Toxicity Research
article

Granulomatous liver disease in Thailand: a 20-year retrospective clinicoradiopathological analysis

Naichaya Chamroonkul, Apichat Kaewdech, Siwanon Nawalerspanya, Pimsiri Sripongpun
article en

Abstract

Infectious causes, especially mycobacterial infections, remain the primary aetiology of GLD in Thailand. Granuloma types are not pathognomonic of specific diseases, emphasising the need for extensive evaluation beyond liver biopsy to determine the underlying aetiology.

BMJ Open GastroenterologyVol. 12(1)
Prince of Songkla University (TH), Kanchanaburi Rajabhat University (TH)
Openalex Percentile: Top 94%
Sarcoidosis and Beryllium Toxicity Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.