CT-based texture analysis for preoperative prediction of key histopathological features in laryngeal cancer.

Purpose: Laryngeal squamous cell carcinoma (LSCC) is a malignancy with significant morbidity and mortality. Accurate preoperative assessment of key histopathological features, including lymph node metastasis (LNM), extranodal extension (ENE), lymphovascular invasion (LVI), perineural invasion (PNI), and thyroid cartilage invasion (TCI), is crucial for optimising treatment strategies. Computed tomography (CT)-based texture analysis, a radiomics approach, has shown potential in identifying tumour heterogeneity and aggressive histopathological behaviour. The aim of the study was to evaluate the predictive value of CT-based texture analysis for detecting key histopathological features in LSCC and assess its potential as a non-invasive tool for preoperative risk stratification. Material and methods: This retrospective study included 32 LSCC patients who underwent contrast-enhanced neck CT within 4 weeks before surgery. Texture features were extracted using LIFEx software. Mann-Whitney Results: Significant texture features were identified for LNM, ENE, and TCI ( Conclusions: CT-based texture analysis is a promising non-invasive tool for preoperative risk assessment in LSCC, particularly for LNM, ENE, and TCI. Further validation in larger studies is warranted.