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Bin Deng, PhD








Research Staff




Bin Deng, Ailis Muldoon, Pedro Itriago, Wei-Ching Lo, Mansi Saksena, Samuel Patz, Ralph Sinkus, Steven J. Isakoff, Stefan A. Carp

Monitoring the response of breast tumors to neoadjuvant chemotherapy using multimodal magnetic resonance and optical imaging

I am Bin Deng, an Instructor in Radiology at the MGH Martinos Center for Biomedical Imaging. I feel a great sense of pride to participate in this year’s WMSS to showcase the brilliant work done by women scientists. I believe in empowering people of all genders and races to fulfill their intellectual curiosity and scientific pursuit. A small group of passionate Women in Science (WiS) committee members at the Martinos are working hard to provide support and identify resources for this mission. I am grateful to see this excellent opportunity provided by a joint force of BWH and MGH.

Background: Neoadjuvant chemotherapy (NACT) is the main treatment approach for the 20,000 patients diagnosed annually with locally advanced breast cancer. However, after months of difficult-to-tolerate NACT treatment, only 8-50% of patients achieve a pathologic complete response (pCR), the only clinical outcome demonstrated to improve overall survival. There is a need and opportunity for the development of monitoring methods and biomarkers, especially those targeting the functional status of cancerous tissue, for the early and accurate prediction of NACT outcomes to tailor treatment on an individual basis.

Methods: We leveraged a multimodal contrast MRI, diffusion-weighted imaging, MR elastography (MRE), and diffuse optical tomography (DOT) imaging platform to simultaneously assess changes in several functional biomarkers of breast tumors to NACT. Two multimodal imaging sessions were performed on one patient with a triple-negative invasive ductal carcinoma, one before the initiation of NACT and the other before the 3rd cycle of the treatment.

Results: The patient achieved pCR after receiving 4 cycles of treatment. Imaging results of this patient show concordant changes in tumor size, apparent diffusion coefficient, stiffness, and total hemoglobin concentration with eventual pathologic outcome.

Conclusions: Multiparametric MRI, MRE, and DOT imaging has great potential to predict pCR at an early time point.