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Non-Invasive In Vivo Characterization of Breast Tumors Using Photon Migration Spectroscopy
Open accessAbstract
Frequency-domain photon migration (FDPM) is a non-invasive optical technique that utilizes intensity-modulated, near-infrared (NIR) light to quantitatively measure optical properties in thick tissues. Optical properties (absorption, mu(a), and scattering, mu(s)', parameters) derived from FDPM measurements can be used to construct low-resolution (0.5 to 1 cm) functional images of tissue hemoglobin (total, oxy-, and deoxy-forms), oxygen saturation, blood volume fraction, water content, fat content and cellular structure. Unlike conventional NIR transillumination, FDPM enables quantitative analysis of tissue absorption and scattering parameters in a single non-invasive measurement. The unique functional information provided by FDPM makes it well-suited to characterizing tumors in thick tissues. In order to test the sensitivity of FDPM for cancer diagnosis, we have initiated clinical studies to quantitatively determine normal and malignant breast tissue optical and physiological properties in human subjects. Measurements are performed using a non-invasive, multi-wavelength, diode-laser FDPM device optimized for clinical studies. Results show that ductal carcinomas (invasive and in situ) and benign fibroadenomas exhibit 1.25 to 3-fold higher absorption than normal breast tissue. Within this group, absorption is greatest for measurements obtained from sites of invasive cancer. Optical scattering is approximately 20% greater in pre-menopausal versus post-menopausal subjects due to differences in gland/cell proliferation and collagen/fat content. Spatial variations in tissue scattering reveal the loss of differentiation associated with breast disease progression. Overall, the metabolic demands of hormonal stimulation and tumor growth are detectable using photon migration techniques. Measurements provide quantitative optical property values that reflect changes in tissue perfusion, oxygen consumption, and cell/matrix development.
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Cites
A review of the optical properties of biological tissues
Cheong, W. F., Prahl, S. A., & Welch, A. J. (1990) · IEEE Journal of Quantum Electronics · doi:10.1109/3.64354 · Cited by 2,530
Estimation of optical pathlength through tissue from direct time of flight measurement
Delpy, D. T., Cope, M., Zee, P. V. D., Arridge, S., Wray, S., & Wyatt, J. (1988) · Physics in Medicine and Biology · doi:10.1088/0031-9155/33/12/008 · Cited by 2,245
Patterson, M. S., Chance, B., & Wilson, B. C. (1989) · Applied Optics · doi:10.1364/ao.28.002331 · Cited by 2,087
Boundary conditions for the diffusion equation in radiative transfer
Haskell, R. C., Svaasand, L. O., Tsay, T.-T., Feng, T.-C., Tromberg, B. J., & McAdams, M. S. (1994) · Journal of the Optical Society of America A · doi:10.1364/josaa.11.002727 · Cited by 1,138
Self-citationPhotophysical processes in recent medical laser developments: A review
Boulnois, J.-L. (1986) · Lasers in Medical Science · doi:10.1007/bf02030737 · Cited by 661
Physical properties of tissue: F. A. Duck Harcourt Brace Jovanovich Ltd, London; 1990, 346 pp.
Bowker, P. (1991) · Journal of Biomedical Engineering · doi:10.1016/0141-5425(91)90034-5 · Cited by 608
Functional Organization of Primate Visual Cortex Revealed by High Resolution Optical Imaging
Ts'o, D. Y., Frostig, R. D., Lieke, E. E., & Grinvald, A. (1990) · Science · doi:10.1126/science.2165630 · Cited by 524
Perelman, L. T., Backman, V., Wallace, M., Zonios, G., Manoharan, R., Nusrat, A., Shields, S., Seiler, M., Lima, C., Hamano, T., et al. (1998) · Physical Review Letters · doi:10.1103/physrevlett.80.627 · Cited by 491
Flock, S. T., Patterson, M. S., Wilson, B. C., & Wyman, D. R. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1989.1173624 · Cited by 489
Comparison of time-resolved and -unresolved measurements of deoxyhemoglobin in brain.
Chance, B., Leigh, J. S., Miyake, H., Smith, D. S., Nioka, S., Greenfeld, R., Finander, M., Kaufmann, K., Levy, W., & Young, M. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.14.4971 · Cited by 464
Cited by
Diffuse optics for tissue monitoring and tomography
Durduran, T., Choe, R., Baker, W. B., & Yodh, A. G. (2010) · Reports on Progress in Physics · doi:10.1088/0034-4885/73/7/076701 · Cited by 1,161
Advances in In Vivo Bioluminescence Imaging of Gene Expression
Contag, C. H., & Bachmann, M. H. (2002) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.4.111901.093336 · Cited by 870
ReaChR: a red-shifted variant of channelrhodopsin enables deep transcranial optogenetic excitation
Lin, J. Y., Knutsen, P. M., Muller, A., Kleinfeld, D., & Tsien, R. Y. (2013) · Nature Neuroscience · doi:10.1038/nn.3502 · Cited by 835
Intraoperative Tissue Identification Using Rapid Evaporative Ionization Mass Spectrometry
Balog, J., Sasi-Szabó, L., Kinross, J., Lewis, M. R., Muirhead, L. J., Veselkov, K., Mirnezami, R., Dezső, B., Damjanovich, L., Darzi, A., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005623 · Cited by 608
Spinelli, L., Torricelli, A., Pifferi, A., Taroni, P., Danesini, G. M., & Cubeddu, R. (2004) · Journal of Biomedical Optics · doi:10.1117/1.1803546 · Cited by 140
Metadata
- Authors
- Tromberg, B. J., Shah, N., Lanning, R., Cerussi, A., Espinoza, J., Pham, T., Svaasand, L., & Butler, J.
- Venue
- Neoplasia
- Publisher
- Elsevier BV
- Published
- 2000-01
- Volume
- 2
- Issue
- 1-2
- Pages
- 26-40
- ISSN
- 1476-5586 (ISSN-L)
- OpenAlex
- W1980989869
- Cited by
- 687
- References
- 37
- FWCI
- 23.23
- Type
- journal article
- Language
- en
- Open access
- gold
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