Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging.

ABSTRACT: Purpose: This study intends to investigate the feasibility of using hyperspectral imaging (HSI) to detect and delineate cancers in fresh, surgical specimens of patients with head and neck cancers.Experimental Design: A clinical study was conducted in order to collect and image fresh, surgical specimens from patients (N = 36) with head and neck cancers undergoing surgical resection. A set of machine-learning tools were developed to quantify hyperspectral images of the resected tissue in order to detect and delineate cancerous regions which were validated by histopathologic diagnosis. More than two million reflectance spectral signatures were obtained by HSI and analyzed using machine-learning methods. The detection results of HSI were compared with autofluorescence imag

SUBMITTER: Lu G 

PROVIDER: S-EPMC5649622 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature