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.
| Original language | English (US) |
|---|---|
| Title of host publication | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
| Volume | 6088 |
| DOIs | |
| State | Published - 2006 |
| Event | Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IV - San Jose, CA, United States Duration: Jan 23 2006 → Jan 25 2006 |
Other
| Other | Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IV |
|---|---|
| Country | United States |
| City | San Jose, CA |
| Period | 1/23/06 → 1/25/06 |
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Keywords
- Breast cancer
- Exvivo
- Fourier transform interferometry
- Mahalanobis
- Rat model
- Sentinel node
- Spectral imaging
- Translational research
- Unstained pathology
ASJC Scopus subject areas
- Engineering(all)
Cite this
Spectral imaging detects breast cancer in fresh unstained specimens. / Chung, Alice; Gaon, Mark; Jeong, Jihoon; Karlan, Scott; Lindsley, Erik; Wachsmann-Hogiu, Sebastian; Xiong, Yizhi; Zhao, Tong; Farkas, Daniel L.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6088 2006. 608806.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Spectral imaging detects breast cancer in fresh unstained specimens
AU - Chung, Alice
AU - Gaon, Mark
AU - Jeong, Jihoon
AU - Karlan, Scott
AU - Lindsley, Erik
AU - Wachsmann-Hogiu, Sebastian
AU - Xiong, Yizhi
AU - Zhao, Tong
AU - Farkas, Daniel L.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
KW - Breast cancer
KW - Exvivo
KW - Fourier transform interferometry
KW - Mahalanobis
KW - Rat model
KW - Sentinel node
KW - Spectral imaging
KW - Translational research
KW - Unstained pathology
UR - http://www.scopus.com/inward/record.url?scp=33646199214&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33646199214&partnerID=8YFLogxK
U2 - 10.1117/12.644927
DO - 10.1117/12.644927
M3 - Conference contribution
AN - SCOPUS:33646199214
SN - 081946130X
SN - 9780819461308
VL - 6088
BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
ER -