Share Email Print

Proceedings Paper

Spectral imaging detects breast cancer in fresh unstained specimens
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Spectral imaging has recently been introduced in the biomedical field as a noninvasive, quantitative means of studying biological tissues. Many of its potential applications have been demonstrated (in vitro and, to a lesser degree, in vivo) with the use of stains or dyes. Successful translation to the clinical environment has been largely lagging, due to safety considerations and regulatory limitations preventing use of contrast agents in humans. We report experiments showing the feasibility of high-resolution spectral imaging of breast cancer without the use of contrast agents, thus completing the continuum of translational research, to in vivo imaging that will be directly applicable in the clinical environment. Our initial work focused on image acquisition using Fourier transform microinterferometry and subsequent segmentation of both stained and unstained breast cancer slides-derived image sets. We then applied our techniques to imaging fresh unstained ex vivo specimens of rat breast cancer and sentinel lymph nodes. We also investigated multiple methods of classification to optimize our image analyses, and preliminary results for the best algorithm tested yielded an overall sensitivity of 96%, and a specificity of 92% for cancer detection. Using spectral imaging and classification techniques, we were able to demonstrate that reliable detection of breast cancer in fixed and fresh unstained specimens of breast tissue is possible.

Paper Details

Date Published: 22 February 2006
PDF: 7 pages
Proc. SPIE 6088, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IV, 608806 (22 February 2006); doi: 10.1117/12.644927
Show Author Affiliations
Alice Chung, Cedars-Sinai Medical Ctr. (United States)
Mark Gaon M.D., Cedars-Sinai Medical Ctr. (United States)
Jihoon Jeong M.D., Cedars-Sinai Medical Ctr. (United States)
Scott Karlan, Cedars-Sinai Medical Ctr. (United States)
Erik Lindsley, Cedars-Sinai Medical Ctr. (United States)
Sebastian Wachsmann-Hogiu, Cedars-Sinai Medical Ctr. (United States)
Yizhi Xiong, Cedars-Sinai Medical Ctr. (United States)
Tong Zhao, Cedars-Sinai Medical Ctr. (United States)
Daniel L. Farkas, Cedars-Sinai Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 6088:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IV
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

© SPIE. Terms of Use
Back to Top