ArticleClinical and translational radiation oncology2026
Deep-learning-assisted brain contouring and serial neurocognitive monitoring in head and neck cancer survivorship: a prospective study.
Article in Clinical and translational radiation oncology, 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.
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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.
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0 citing papers in PubMed.
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Authors and funding
17 authors.
Funding
Abstract
Patients treated for head and neck cancer (HNC) receive incidental, non-target radiation to intracranial structures. This prospective study investigated the relationship between regional brain radiation dosimetry and neurocognitive performance during the first year of survivorship. Patients with newly diagnosed HNC completed a comprehensive neuropsychological battery at baseline-prior to or within the first week of radiation therapy, or before induction chemotherapy-(
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Registered trials
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