We hypothesize that a newly redesigned portable tomographic version of Near Infrared Spectroscopy (NIRS), developed and tested at Dartmouth over the past 15 years, can successfully characterize changes in breast tumor vascularity, and potentially cellular metabolism, more accurately and with higher spatial resolution than other NIRS technologies currently under investigation, and is better suited to clinical oncology workflow. NIRS tomography (NIRST) is a unique tool for characterizing tissue composition in the female breast which generates images of total hemoglobin concentration (HbT), tissue oxygen saturation (StO2), water fraction, as well as elastic scattering parameters. Based on results obtained in previous studies, the overall goal of this proposal is to develop and evaluate a portable and compact NIRST system that is expected to quantify changes in HbT, StO2 and water fraction more accurately as early indicators of treatment response of locally advanced breast cancers receiving neoadjuvant chemotherapy (NAC), and will have additional wavelengths enabling the recovery of new images of lipid and collagen content. Comparisons to results obtained with hand- held Diffuse Optical Spectroscopic Imaging (DOSI), which has undergone a recently-completed national multi- center (ACRIN) trial, will occur. The proposed mobile NIRST system will integrate into the workflow of clinical oncology practice to maximize patient accrual and participation in the proposed studies, assess the presence of a flair response, and determine whether prognostic information can be obtained that would influence patient management. After developing and validating the new portable NIRST platform with phantom and normal- subject studies, we will quantitatively assess our hypothesis by 1) imaging the response of tumor vasculature before, during and after infusions associated with different treatment cycles of NAC, and 2) quantify pathological and clinical outcomes of response to NAC, and relate these outcomes to changes in NIRST properties measured at different time points during NAC. The project will extend successful preliminary results obtained in studies supported through completed NIH P01 (P01-CA80139, PI Paulsen) and R21 (CA135303, PI Jiang) grants. It also leverages the extensive infrastructure we have developed for breast cancer imaging where investigators from medical oncology, surgical pathology and biomedical optical engineering have collaborated to develop and evaluate advanced technology for breast cancer imaging for more than a decade.
Based on successful and extensive preliminary results, we propose to develop a portable and compact near-infrared (NIR) spectral tomography (NIRST) system to quantify more accurately changes in total hemoglobin, oxygen saturation and water content in the breast during neoadjuvant chemotherapy. This system will integrate into the workflow of clinical oncology practice to maximize patient accrual and participation in the proposed studies, assess the presence of a fast flare response, and determine whether prognostic information can be obtained that would influence patient management. We believe the NIRST data acquired with the proposed system will indicate tumor response to treatment before the start of the second treatment cycle.
|Feng, Jinchao; Xu, Junqing; Jiang, Shudong et al. (2017) Addition of T2-guided optical tomography improves noncontrast breast magnetic resonance imaging diagnosis. Breast Cancer Res 19:117|
|Zhao, Yan; Burger, William R; Zhou, Mingwei et al. (2017) Collagen quantification in breast tissue using a 12-wavelength near infrared spectral tomography (NIRST) system. Biomed Opt Express 8:4217-4229|
|Tromberg, Bruce J; Zhang, Zheng; Leproux, Anaïs et al. (2016) Predicting Responses to Neoadjuvant Chemotherapy in Breast Cancer: ACRIN 6691 Trial of Diffuse Optical Spectroscopic Imaging. Cancer Res 76:5933-5944|
|Zhao, Yan; Pogue, Brian W; Haider, Steffen J et al. (2016) Portable, parallel 9-wavelength near-infrared spectral tomography (NIRST) system for efficient characterization of breast cancer within the clinical oncology infusion suite. Biomed Opt Express 7:2186-201|
|Jiang, Shudong; Pogue, Brian W (2016) A Comparison of Near-Infrared Diffuse Optical Imaging and 18F-FDG PET/CT for the Early Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy. J Nucl Med 57:1166-7|
|Feng, Jinchao; Jiang, Shudong; Xu, Junqing et al. (2016) Multiobjective guided priors improve the accuracy of near-infrared spectral tomography for breast imaging. J Biomed Opt 21:90506|
|Zhang, Limin; Zhao, Yan; Jiang, Shudong et al. (2015) Direct regularization from co-registered anatomical images for MRI-guided near-infrared spectral tomographic image reconstruction. Biomed Opt Express 6:3618-30|
|Mastanduno, Michael A; Xu, Junqing; El-Ghussein, Fadi et al. (2015) MR-Guided Near-Infrared Spectral Tomography Increases Diagnostic Performance of Breast MRI. Clin Cancer Res 21:3906-12|
|Zhao, Yan; Mastanduno, Michael A; Jiang, Shudong et al. (2015) Optimization of image reconstruction for magnetic resonance imaging-guided near-infrared diffuse optical spectroscopy in breast. J Biomed Opt 20:56009|
|Jiang, Shudong; Pogue, Brian W; Kaufman, Peter A et al. (2014) Predicting breast tumor response to neoadjuvant chemotherapy with diffuse optical spectroscopic tomography prior to treatment. Clin Cancer Res 20:6006-15|
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