Breast cancer spatial heterogeneity in near-infrared spectra and the prediction of neoadjuvant chemotherapy response

Ylenia Santoro; Bruce J. Tromberg; Enrico Gratton; Anais Leproux; Albert E. Cerussi

doi:10.1117/1.3638135

1 September 2011 Breast cancer spatial heterogeneity in near-infrared spectra and the prediction of neoadjuvant chemotherapy response

Ylenia Santoro, Bruce J. Tromberg, Enrico Gratton, Anais Leproux, Albert E. Cerussi

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Journal of Biomedical Optics, Vol. 16, Issue 9, 097007 (September 2011). https://doi.org/10.1117/1.3638135

Abstract

We describe an algorithm to calculate an index that characterizes spatial differences in broadband near-infrared [(NIR), 650-1000 nm] absorption spectra of tumor-containing breast tissue. Patient-specific tumor spatial heterogeneities are visualized through a heterogeneity spectrum function (HS). HS is a biomarker that can be attributed to different molecular distributions within the tumor. To classify lesion heterogeneities, we built a heterogeneity index (HI) derived from the HS by weighing the HS in specific NIR absorption bands. It is shown that neoadjuvant chemotherapy (NAC) response is potentially related to the tumor heterogeneity. Therefore, we correlate the heterogeneity index obtained prior to treatment with the final response to NAC. From a pilot study of 15 cancer patients treated with NAC, pathological complete responders (pCR) were separated from non-pCR according to their HI (-44 ± 12 and 43 ± 17, p = 3 × 10⁻⁸, respectively). We conclude that the HS function is a biomarker that can be used to visualize spatial heterogeneities in lesions, and the baseline HI prior to therapy correlates with chemotherapy pathological response.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Ylenia Santoro, Bruce J. Tromberg, Enrico Gratton, Anais Leproux, and Albert E. Cerussi "Breast cancer spatial heterogeneity in near-infrared spectra and the prediction of neoadjuvant chemotherapy response," Journal of Biomedical Optics 16(9), 097007 (1 September 2011). https://doi.org/10.1117/1.3638135

Published: 1 September 2011

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