ReviewJournal of translational medicine2026
Applications and research progress of PET/CT in dynamic monitoring of immunotherapy in melanoma.
Review in Journal of translational medicine, 2026. 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
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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
8 authors.
Funding
Abstract
backgroundMelanoma is a highly aggressive malignancy, and conventional therapies have limited efficacy in metastatic cases. The advent of immune checkpoint inhibitors (ICIs) has significantly improved patient prognosis. However, challenges such as heterogeneous responses, resistance, and immune-related adverse events (irAEs) necessitate reliable tools for early efficacy prediction and dynamic assessment. MAIN BODY: As a molecular imaging modality that integrates structural and functional information, Positron Emission Tomography/Computed Tomography (PET/CT)-particularly through
conclusionsPET/CT represents a valuable imaging modality for comprehensive assessment of immunotherapy in melanoma. With continued refinement of response criteria and the development of immune-targeted tracers, PET-based imaging is expected to further facilitate personalized and dynamic immunotherapy strategies.
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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 OpenQuestion graph.