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Auto-fluorescence lifetime and light reflectance spectroscopy for breast cancer diagnosis: potential tools for intraoperative margin detectionVikrant Sharma, Shivaranjani Shivalingaiah, Yan Peng, David Euhus, Zygmunt Gryczynski, and Hanli Liu »View Author Affiliations
Vikrant Sharma,1
Shivaranjani Shivalingaiah,1
Yan Peng,2
David Euhus,3
Zygmunt Gryczynski,4
and Hanli Liu1,*
1Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA 2Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA 3Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA 4Department of Physics and Astronomy, Texas Christian University, Fort Worth, TX 76107, USA *Corresponding author: hanli@uta.edu |
Biomedical Optics Express, Vol. 3, Issue 8, pp. 1825-1840 (2012)
http://dx.doi.org/10.1364/BOE.3.001825
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Abstract
This study investigates the use of two spectroscopic techniques, auto-fluorescence lifetime measurement (AFLM) and light reflectance spectroscopy (LRS), for detecting invasive ductal carcinoma (IDC) in human ex vivo breast specimens. AFLM used excitation at 447 nm with multiple emission wavelengths (532, 562, 632, and 644 nm), at which auto-fluorescence lifetimes and their weight factors were analyzed using a double exponent model. LRS measured reflectance spectra in the range of 500-840 nm and analyzed the spectral slopes empirically at several distinct spectral regions. Our preliminary results based on 93 measured locations (i.e., 34 IDC, 31 benign fibrous, 28 adipose) from 6 specimens show significant differences in 5 AFLM-derived parameters and 9 LRS-based spectral slopes between benign and malignant breast samples. Multinomial logistic regression with a 10-fold cross validation approach was implemented with selected features to classify IDC from benign fibrous and adipose tissues for the two techniques independently as well as for the combined dual-modality approach. The accuracy for classifying IDC was found to be 96.4 ± 0.8%, 92.3 ± 0.8% and 96 ± 1.3% for LRS, AFLM, and dual-modality, respectively.
© 2012 OSA
OCIS Codes
(170.1610) Medical optics and biotechnology : Clinical applications
(170.3650) Medical optics and biotechnology : Lifetime-based sensing
(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine
(170.6510) Medical optics and biotechnology : Spectroscopy, tissue diagnostics
(170.6935) Medical optics and biotechnology : Tissue characterization
ToC Category:
Optics in Cancer Research
History
Original Manuscript: May 30, 2012
Manuscript Accepted: June 25, 2012
Published: July 9, 2012
Citation
Vikrant Sharma, Shivaranjani Shivalingaiah, Yan Peng, David Euhus, Zygmunt Gryczynski, and Hanli Liu, "Auto-fluorescence lifetime and light reflectance spectroscopy for breast cancer diagnosis: potential tools for intraoperative margin detection," Biomed. Opt. Express 3, 1825-1840 (2012)
http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-3-8-1825
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- R. G. Pleijhuis, M. Graafland, J. de Vries, J. Bart, J. S. de Jong, and G. M. van Dam, “Obtaining adequate surgical margins in breast-conserving therapy for patients with early-stage breast cancer: current modalities and future directions,” Ann. Surg. Oncol.16(10), 2717–2730 (2009). [CrossRef] [PubMed]
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- R. Nachabé, D. J. Evers, B. H. Hendriks, G. W. Lucassen, M. van der Voort, E. J. Rutgers, M. J. Peeters, J. A. Van der Hage, H. S. Oldenburg, J. Wesseling, and T. J. Ruers, “Diagnosis of breast cancer using diffuse optical spectroscopy from 500 to 1600 nm: comparison of classification methods,” J. Biomed. Opt.16(8), 087010 (2011). [CrossRef] [PubMed]
- Z. Volynskaya, A. S. Haka, K. L. Bechtel, M. Fitzmaurice, R. Shenk, N. Wang, J. Nazemi, R. R. Dasari, and M. S. Feld, “Diagnosing breast cancer using diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy,” J. Biomed. Opt.13(2), 024012 (2008). [CrossRef] [PubMed]
- Z. Volynskaya, A. S. Haka, K. L. Bechtel, M. Fitzmaurice, R. Shenk, N. Wang, J. Nazemi, R. R. Dasari, and M. S. Feld, “Diagnosing breast cancer using diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy,” J. Biomed. Opt.13(2), 024012 (2008). [CrossRef] [PubMed]
- D. Elson, J. Requejo-Isidro, I. Munro, F. Reavell, J. Siegel, K. Suhling, P. Tadrous, R. Benninger, P. Lanigan, J. McGinty, C. Talbot, B. Treanor, S. Webb, A. Sandison, A. Wallace, D. Davis, J. Lever, M. Neil, D. Phillips, G. Stamp, and P. French, “Time-domain fluorescence lifetime imaging applied to biological tissue,” Photochem. Photobiol. Sci.3(8), 795–801 (2004). [CrossRef] [PubMed]
- J. McGinty, N. P. Galletly, C. Dunsby, I. Munro, D. S. Elson, J. Requejo-Isidro, P. Cohen, R. Ahmad, A. Forsyth, A. V. Thillainayagam, M. A. Neil, P. M. French, and G. W. Stamp, “Wide-field fluorescence lifetime imaging of cancer,” Biomed. Opt. Express1(2), 627–640 (2010). [CrossRef] [PubMed]
- P. J. Tadrous, J. Siegel, P. M. French, S. Shousha, N. Lalani, and G. W. Stamp, “Fluorescence lifetime imaging of unstained tissues: early results in human breast cancer,” J. Pathol.199(3), 309–317 (2003). [CrossRef] [PubMed]
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J. Innovat. Opt. Health Sci. (JIOHS)
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