ReviewWorld journal of gastrointestinal surgery2025
Advanced imaging techniques at the crossroads of cholangiocarcinoma and liver transplantation: Can we bridge the gap?
Review in World journal of gastrointestinal surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to evaluate emerging imaging strategies for optimizing cholangiocarcinoma (CCA) assessment in liver transplantation (LT) candidates, addressing gaps in standardization, diagnostic ambiguity, and equitable access. Critical analysis of current evidence and innovations in CCA imaging, focusing on three pillars: (1) Adaptation of Liver Imaging Reporting and Data System for standardized reporting; (2) Integration of artificial intelligence (AI)-driven radiomics for risk stratification; and (3) Expanded utilization of contrast-enhanced ultrasound (CEUS) in resource-limited settings. Current imaging criteria for LT eligibility in CCA rely heavily on tumor size and vascular invasion, but lack standardized protocols for lesion characterization in cirrhotic livers. Liver Imaging Reporting and Data System, validated for hepatocellular carcinoma, shows promise in reducing interobserver variability when adapted to CCA-specific features (
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Registered trials
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 Socratic graph.