ArticleTranslational cancer research2026
Clinical prognostic prediction of
Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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Authors and funding
7 authors.
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Abstract
Background: Annually, more than 550,000 people are diagnosed with head and neck squamous cell carcinoma (HNSCC) using invasive techniques, emphasizing the need for non-invasive diagnostic methods. Thus, our investigation aimed to create radiomics models that could forecast patients' Methods: This study was based on downloading genomic data and enhanced computed tomography (CT) images of HNSCC patients from The Cancer Imaging Archive (TCIA) and The Cancer Genome Atlas (TCGA) databases for prognostic analyses, image feature extraction, and construction of the radiomics models. Survival analysis (Kaplan-Meier survival curve, COX regression analysis, subgroup analysis, and interaction test) was used to explore the prognostic value of Results: TCGA had a total of 483 HNSCC patients, of which high (n=326) and low (n=157) Conclusions: A noteworthy association was observed between
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