ArticleFrontiers in immunology2022
Constrast-enhanced computed tomography radiomics predicts CD27 expression and clinical prognosis in head and neck squamous cell carcinoma.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Clinical prognostic prediction ofTranslational cancer research · 2026Article
- Stratifying tumor immune microenvironment in head and neck squamous cell carcinoma: from parsing out immune-subtype prognosis to clinically applicable CT-radiomics models.Journal of translational medicine · 2026Article
- Interplay between MRI radiomics and immune gene expression signatures in oral squamous cell carcinoma.Scientific reports · 2025Article
- Prognostic effect of CD74 and development of a radiomic model for predicting CD74 expression in non-small cell lung cancer.Frontiers in medicine · 2025Article
- Radiomics Features on Enhanced Computed Tomography Predict FOXP3 Expression and Clinical Prognosis in Patients with Head and Neck Squamous Cell Carcinoma.Journal of imaging informatics in medicine · 2024Article
- The expression of immune co-stimulators as a prognostic predictor of head and neck squamous cell carcinomas and oral squamous cell carcinomas.Journal of dental sciences · 2024Article
- Development and Validation of a Pathomics Model Using Machine Learning to Predict CXCL8 Expression and Prognosis in Head and Neck Cancer.Clinical and experimental otorhinolaryngology · 2024Article
- A Radiomics Approach to Identify Immunologically Active Tumor in Patients with Head and Neck Squamous Cell Carcinomas.Cancers · 2023Article
- Radiomic Models Predict Tumor Microenvironment Using Artificial Intelligence-the Novel Biomarkers in Breast Cancer Immune Microenvironment.Technology in cancer research & treatmentReview
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to construct a radiomics model that predicts the expression level of Materials and methods: Genomic data and contrast-enhanced computed tomography (CT) images of patients with HNSCC were downloaded from the Cancer Genome Atlas and Cancer Imaging Archive for prognosis analysis, image feature extraction, and model construction. We explored the potential molecular mechanisms underlying Results and conclusion: The expression level of
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Registered trials
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