Abstract B16: The detection of ductal carcinoma using noninvasive hyperspectral imaging

Abstract

Abstract Introduction: Hyperspectral imaging (HSI) technology is an optical medical imaging modality that has great potential for noninvasive tissue analysis in breast cancer. This imaging method may be able to enhance the detection of cancer tissue and lead to advances in the optical diagnosis of patients. Objective: The goal of this study was to use high resolution hyperspectral imaging microscopy to differentiate marked biopsies of normal and breast cancer tissues. Methods: For our hyperspectral imaging platform, we obtained stained (n=10) and unstained (n=10) pathology slides from ductal carcinomas of the breast and compared them. To capture the HSI, we used a hyperspectral camera that generates a spectral cube containing the spectra of each pixel between 460 to 640 nm and normalized the data to a gray scale to maximize data stability. The spectral signatures were graphed using MATLAB software. Results: The system was able to detect a clear spectral difference between cancer and normal tissues in hematoxylin and eosin stained slides. The spectrum of cancer tissue had a relatively lower intensity than that of normal tissue in the wavelength range between 480 and 610 nm. Conclusions: Our preliminary study showed a clear hyperspectral snapshot differentiating normal breast tissue from ductal carcinoma. Further HSI and quantitative analysis will demonstrate the feasibility of using this new imaging technique in breast cancer. Citation Format: Yasser Khouj, Jeremy Dawson, James Coad, Linda Vona-Davis. The detection of ductal carcinoma using noninvasive hyperspectral imaging. [abstract]. In: Proceedings of the AACR Special Conference on Engineering and Physical Sciences in Oncology; 2016 Jun 25-28; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2017;77(2 Suppl):Abstract nr B16.