Work

Analysis of Laryngoscopic Image Differences in Different Responses to Neoadjuvant Immunotherapy Combined With Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma

Year: 2026

Type: article

Abstract: ABSTRACT Objective To investigate the potential value of radiomic features based on pretreatment laryngoscopic images in predicting the efficacy of neoadjuvant immunochemotherapy for locally advanced hypopharyngeal squamous cell carcinoma. Materials and Methods Patients with locally advanced hypopharyngeal squamous cell carcinoma who received neoadjuvant immunochemotherapy at our hospital were retrospectively enrolled, and their pretreatment white‐light and narrow‐band imaging (NBI) laryngoscopic images were collected. Patients were divided into a complete response (CR) group and a non‐complete response (non‐CR) group according to treatment efficacy. After uniformly delineating regions of interest on the original lesion areas of all images, the images were converted into HSV, RGB, and CIELAB color spaces, yielding a total of nine channels. A total of 104 texture features were then extracted on each channel. Intergroup difference analysis was performed using an independent‐samples t ‐test, and key features were further screened by LASSO regression. Results A total of 499 laryngoscopic images were analyzed in this study. Statistical analysis identified 67 differential features and ultimately 8 key features in white‐light images; 52 differential features and ultimately 11 key features were identified in NBI images. Conclusion This exploratory study preliminarily demonstrates that radiomic features based on pretreatment laryngoscopic images have potential in differentiating the efficacy of neoadjuvant immunochemotherapy. The screened key features provide useful clues for the subsequent construction of prediction models, although their clinical applicability still requires further validation in large‐sample prospective studies. Level of Evidence 3

Source: Laryngoscope Investigative Otolaryngology

DOI: 10.1002/lio2.70596