ArticleThe Journal of laryngology and otology2024
Computed tomography-based radiomic markers are independent prognosticators of survival in advanced laryngeal cancer: a pilot study.
Article in The Journal of laryngology and otology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Laryngeal Cancer Survival in Northern United Kingdom: A Multi-Centre Retrospective Observational Study.Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery · 2026Observational
- Segmentation-based morphometric analysis of neck abscesses on MRI: associations with disease severity.European radiology · 2026Article
- Benchmarking deep learning models for laryngeal cancer staging using the LaryngealCT dataset.Scientific reports · 2026Article
- Radiomics in laryngeal squamous cell carcinoma: state of the art.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2026Review
- Review
- Predictive Value of a Radiomics-Derived Risk Score for Local Progression in T3 Laryngeal Cancer: A 10-Year Single-Center Retrospective Cohort Study.Journal of clinical medicine · 2026Article
- CT-based texture analysis for preoperative prediction of key histopathological features in laryngeal cancer.Polish journal of radiology · 2026Article
- Development and validation of a multimodal feature fusion-based model for predicting postoperative recurrence-free survival in locally advanced laryngeal squamous cell carcinoma.Frontiers in oncology · 2025Article
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Authors and funding
13 authors.
Funding
Abstract
objectiveAdvanced laryngeal cancers are clinically complex; there is a paucity of modern decision-making models to guide tumour-specific management. This pilot study aims to identify computed tomography-based radiomic features that may predict survival and enhance prognostication.
methodsPre-biopsy, contrast-enhanced computed tomography scans were assembled from a retrospective cohort (
resultsA greater shape compacity (hazard ratio 2.89) and grey-level zone length matrix - grey-level non-uniformity (hazard ratio 1.64) were significantly associated with worse 5-year disease-specific survival (
conclusionsTwo radiomic features were identified as independent prognostic biomarkers. A multi-centre prospective study is necessary for further exploration. Integrated radiomic models may refine the treatment of advanced laryngeal cancers.
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