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Computed tomography-based radiomic markers are independent prognosticators of survival in advanced laryngeal cancer: a pilot study.
- Source :
-
The Journal of laryngology and otology [J Laryngol Otol] 2024 Jun; Vol. 138 (6), pp. 685-691. Date of Electronic Publication: 2023 Dec 14. - 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.<br />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.<br />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).<br />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.
Details
- Language :
- English
- ISSN :
- 1748-5460
- Volume :
- 138
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- The Journal of laryngology and otology
- Publication Type :
- Academic Journal
- Accession number :
- 38095096
- Full Text :
- https://doi.org/10.1017/S0022215123002372