ReviewDiscover oncology2025
Advances and challenges in immunotherapy and molecular imaging for hepatocellular carcinoma.
Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, with advanced disease resistant to conventional therapies. Targeted combined immunotherapy, such as ICIs with TKIs or anti-VEGF agents, has improved outcomes, but heterogeneous responses necessitate predictive biomarkers. Molecular imaging (MRI, PET/CT, CT, CEUS) provides non-invasive tumor immune microenvironment (TIME) insights for stratification and monitoring. This review synthesizes advances, evidencing AUCs > 0.85 in response prediction, while critiquing limitations like artifacts and proposing AI-multimodal fusion. We outline a roadmap for precision oncology, enhancing efficacy and personalization in HCC.
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.