17 February 2017 Development of time-resolved reflectance diffuse optical tomography for breast cancer monitoring
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Abstract
We developed a time-resolved reflectance diffuse optical tomography (RDOT) system to measure tumor responses to chemotherapy in breast cancer patients at the bedside. This system irradiates the breast with a three-wavelength pulsed laser (760, 800, and 830 nm) through a source fiber specified by an optical switch. The light collected by detector fibers is guided to a detector unit consisting of variable attenuators and photomultiplier tubes. Thirteen irradiation and 12 detection points were set to a measurement area of 50 × 50 mm for a hand-held probe. The data acquisition time required to obtain the temporal profiles within the measurement area is about 2 minutes. The RDOT system generates topographic and tomographic images of tissue properties such as hemoglobin concentration and tissue oxygen saturation using two imaging methods. Topographic images are obtained from the optical properties determined for each source-detector pair using a curve-fitting method based on the photon diffusion theory, while tomographic images are reconstructed using an iterative image reconstruction method. In an experiment using a tissue-like solid phantom, a tumor-like cylindrical target (15 mm diameter, 15 mm high) embedded in a breast tissue-like background medium was successfully reconstructed. Preliminary clinical measurements indicated that the tumor in a breast cancer patient was detected as a region of high hemoglobin concentration. In addition, the total hemoglobin concentration decreased during chemotherapy. These results demonstrate the potential of RDOT for evaluating the effectiveness of chemotherapy in patients with breast cancer.
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Kenji Yoshimoto, Etsuko Ohmae, Daisuke Yamashita, Hiroaki Suzuki, Shu Homma, Tetsuya Mimura, Hiroko Wada, Toshihiko Suzuki, Nobuko Yoshizawa, Hatsuko Nasu, Hiroyuki Ogura, Harumi Sakahara, Yutaka Yamashita, Yukio Ueda, "Development of time-resolved reflectance diffuse optical tomography for breast cancer monitoring", Proc. SPIE 10059, Optical Tomography and Spectroscopy of Tissue XII, 100590M (17 February 2017); doi: 10.1117/12.2249597; https://doi.org/10.1117/12.2249597
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