World journal of otorhinolaryngology - head and neck surgery
Artificial Intelligence-Optimized Image Biomarker Identification for Sinonasal Inverted Papilloma Diagnosis Using Image-Enhanced Versus White-Light Endoscopy
Par Huang ZX, Li C, Li M et 6 autres.
Contenu en anglais
Résumé
Objective
This study aims to compare image feature identification and diagnostic performance between artificial intelligence-aided image-enhanced endoscopy (using the Storz Professional Image Enhancement System, SPIES) and conventional white-light endoscopy (WLE) for sinonasal inverted papilloma (SIP).
Methods
A total of 163 patients were investigated using Storz Professional Image Enhancement System (SPIES) endoscopy (SPIES Spectral A[SA]/Spectral B[SB]) and WLE. From each patient, one or two images (only in the presence of bilateral lesions) were obtained, and a large number of potential features were extracted from WLE, SA, and SB. Independent t-tests and LASSO methods were used to feature selection. Machine learning (ML) models were trained and evaluated for each channel of images.