Evidence map›Paper›PMID 42891413›Full record

ReviewJournal of medical ultrasound

Ultrasonographic Features and Diagnostic Challenges of Hepatic Tuberculosis: Insights from Taiwan and Southeast Asia.

Bo-Yan Chen, Hsin-Yi Chen, Sien-Sing Yang, Jui-Ting Hu

Abstract readReview
In one paragraph

Review in Journal of medical ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bo-Yan ChenDivision of Digestive Medicine, Cathay General Hospital, Taipei, Taiwan.
Hsin-Yi ChenDivision of Digestive Medicine, Cathay General Hospital, Taipei, Taiwan.
Sien-Sing YangDivision of Digestive Medicine, Cathay General Hospital, Taipei, Taiwan.
Jui-Ting HuDivision of Digestive Medicine, Cathay General Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic tuberculosis (HTB) is a rare manifestation of extrapulmonary tuberculosis (TB) and represents fewer than 1% of all tuberculosis cases. From an imaging perspective, HTB poses a significant diagnostic challenge because its ultrasonographic appearances are highly variable and frequently mimic hepatic malignancy or pyogenic abscess, often resulting in delayed or incorrect diagnosis. This review focuses on the ultrasonographic features of hepatic and hepatobiliary TB, with reference to the epidemiologic data from Southeast Asia and Taiwan. Ultrasonography remains the most commonly used first-line imaging modality and typically demonstrates five morphologic patterns: nodular, abscess-like, infiltrative or diffuse, biliary, and miliary. However, none of these patterns are specific and substantial overlap exists with malignant and inflammatory hepatic conditions. Awareness of these sonographic patterns, in conjunction with clinical context and risk factors, is therefore essential for raising the suspicion of HTB. Given the limitations of imaging alone, definitive diagnosis requires histopathologic confirmation and microbiologic or molecular testing. For ultrasound practitioners, early recognition of atypical or malignancy-like hepatic lesions and timely recommendation for liver biopsy play a pivotal role in reducing diagnostic delay. Improved awareness of HTB among clinicians and radiologists, particularly in regions affected by population mobility from TB-endemic areas, may facilitate earlier diagnosis and more appropriate management.

Indexed as

Extrapulmonary tuberculosishepatic tuberculosismigrant workersultrasonography

Identifiers

PMID42891413
PMCPMC13674896

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.