Depth-resolved imaging of colon tumor using optical coherence tomography and fluorescence laminar optical tomography

Qinggong Tang; Jianting Wang; Aaron Frank; Jonathan Lin; Zhifang Li; Chao-Wei Chen; Lily Jin; Tongtong Wu; Bruce D Greenwald; Hiroshi Mashimo; Yu Chen

doi:10.1364/BOE.7.005218

Depth-resolved imaging of colon tumor using optical coherence tomography and fluorescence laminar optical tomography

Biomed Opt Express. 2016 Nov 21;7(12):5218-5232. doi: 10.1364/BOE.7.005218. eCollection 2016 Dec 1.

Authors

Affiliations

¹ Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.
² Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA; Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China.
³ Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY 14642, USA.
⁴ Division of Gastroenterology and Hepatology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
⁵ Department of Medicine, Veterans Affairs Boston Healthcare System, Harvard Medical School, West Roxbury, MA 02132, USA.

Abstract

Early detection of neoplastic changes remains a critical challenge in clinical cancer diagnosis and treatment. Many cancers arise from epithelial layers such as those of the gastrointestinal (GI) tract. Current standard endoscopic technology is difficult to detect the subsurface lesions. In this research, we investigated the feasibility of a novel multi-modal optical imaging approach including high-resolution optical coherence tomography (OCT) and high-sensitivity fluorescence laminar optical tomography (FLOT) for structural and molecular imaging. The C57BL/6J-Apc^Min/J mice were imaged using OCT and FLOT, and the correlated histopathological diagnosis was obtained. Quantitative structural (scattering coefficient) and molecular (relative enzyme activity) parameters were obtained from OCT and FLOT images for multi-parametric analysis. This multi-modal imaging method has demonstrated the feasibility for more accurate diagnosis with 88.23% (82.35%) for sensitivity (specificity) compared to either modality alone. This study suggested that combining OCT and FLOT is promising for subsurface cancer detection, diagnosis, and characterization.

Keywords: (110.4190) Multiple imaging; (170.2520) Fluorescence microscopy; (170.3880) Medical and biological imaging; (170.4500) Optical coherence tomography.