The long-term goal of this project is to develop and optimize NIR breast tomography with the objective of identifying the most promising technical approaches which should progress into human studies designed to generate statistically-valid evidence of clinical potential. The scientific hypothesis is that optical signals in the NIR offer unparalleled opportunity to assess the molecular signatures in breast tissue available through both endogenous and exogenous contrast provided the technical challenges associated with tomographic imaging can be overcome. Clinical results obtained to date indicate that (1) NIR optical tomography when unaided by other imaging information is not likely to achieve the performance required to improve clinical decision-making in either a screening or diagnostic setting for small breast abnormalities (<1 cm), and (2) NIR optical tomography when guided by MR has significantly improved quantitative accuracy and spatial resolution which appear to make it amendable to optical characterization of breast lesions of less than 1 cm in size. These findings have motivated our proposal to continue to pursue MR-guided (MRg) NIR optical breast tomography because of the convincing evidence we have generated to date that MR guidance provides for the most accurate, spatially-resolved images of the tissue molecular characteristics that can be probed with NIR optical signals. The opportunity exists to explore potential imaging enhancements made available through exogenous agents in the MRg context as representing the most accurate data that can be obtained with either absorption or emission tomography. To realize the envisioned developments we have proposed (1) to customize a 3T breast imaging coil for simultaneous MR/NIR imaging in collaboration with Philips Medical that will incorporate a contact-insensitive fiber optic breast interface, (2) to advance the processing and reconstruction algorithms associated with concurrent use of MR images in the formation and display of volumetric NIR images of endogenous and exogenous chromophores, exogenous fluorophores and scattering parameters, (3) to optimize, evaluate and compare exogenous contrast MRg NIR imaging based on absorbing versus fluorescing agents through simulation and phantom studies, and (4) to extend the Aim 3 findings to human studies in the breast using GdTex in women with metastatic breast cancer and ICG in women with screen-detected breast abnormalities recommended for biopsy as proofs-of-principles in order to compare MRg NIR tomography of endogenous and exogenous chromophores with exogenous fluorophores when evaluated in combination with conventional contrast-enhanced breast MR. The contributions expected from the proposed research would lead to the imaging platforms required to compare directly exogenous and endogenous absorption contrast with exogenous fluorescence contrast under the optimal conditions of MRg in order to determine their respective sensitivity and specificity to breast pathology in future evaluative trials that would serve to define their relative merits and ultimately their potential clinical roles.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA069544-11
Application #
7690359
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Croft, Barbara
Project Start
1996-07-01
Project End
2013-07-31
Budget Start
2009-08-01
Budget End
2010-07-31
Support Year
11
Fiscal Year
2009
Total Cost
$247,310
Indirect Cost
Name
Dartmouth College
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Zhang, Limin; Jiang, Shudong; Zhao, Yan et al. (2018) Direct Regularization From Co-Registered Contrast MRI Improves Image Quality of MRI-Guided Near-Infrared Spectral Tomography of Breast Lesions. IEEE Trans Med Imaging 37:1247-1252
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
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
Mastanduno, Michael A; El-Ghussein, Fadi; Jiang, Shudong et al. (2014) Adaptable near-infrared spectroscopy fiber array for improved coupling to different breast sizes during clinical MRI. Acad Radiol 21:141-50
Mastanduno, Michael A; Xu, Junqing; El-Ghussein, Fadi et al. (2014) Sensitivity of MRI-guided near-infrared spectroscopy clinical breast exam data and its impact on diagnostic performance. Biomed Opt Express 5:3103-15
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
El-Ghussein, Fadi; Mastanduno, Michael A; Jiang, Shudong et al. (2014) Hybrid photomultiplier tube and photodiode parallel detection array for wideband optical spectroscopy of the breast guided by magnetic resonance imaging. J Biomed Opt 19:011010

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