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Computed tomography-based radiomic markers are independent prognosticators of survival in advanced laryngeal cancer: a pilot study.
- Source :
-
Journal of Laryngology & Otology . Jun2024, Vol. 138 Issue 6, p685-691. 7p. - Publication Year :
- 2024
-
Abstract
- Objective: Advanced 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. Methods: Pre-biopsy, contrast-enhanced computed tomography scans were assembled from a retrospective cohort (n = 72) with advanced laryngeal cancers (T3 and T4). The LIFEx software was used for radiomic feature extraction. Two features: shape compacity (irregularity of tumour volume) and grey-level zone length matrix – grey-level non-uniformity (tumour heterogeneity) were selected via least absolute shrinkage and selection operator-based Cox regression and explored for prognostic potential. Results: A 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 (p < 0.05). Cox regression models yielded a superior C-index when incorporating radiomic features (0.759) versus clinicopathological variables alone (0.655). Conclusions: Two 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00222151
- Volume :
- 138
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Journal of Laryngology & Otology
- Publication Type :
- Academic Journal
- Accession number :
- 177227753
- Full Text :
- https://doi.org/10.1017/S0022215123002372