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Multiparametric multimodal imaging for breast cancer neoadjuvant chemotherapy monitoring

用于乳腺癌新辅助化疗监测的多参数多模态成像

基本信息

批准号：
10463657
负责人：
Bin Deng
金额：
$ 14.07万
依托单位：
MASSACHUSETTS GENERAL HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-21 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10463657
关键词：
Algorithms Angiogenesis Inhibitors Area Biological Biological Markers Biomechanics Biophysics Blood Volume Breast Breast Cancer Patient Breast Cancer Treatment Cancer Biology Cellularity Chemoresistance Clinical Clinical Research Complex Coupling Cytotoxin Data Data Set Development Development Plans Diagnosis Diffusion Magnetic Resonance Imaging Disease ERBB2 gene Emission-Computed Tomography Enrollment Ensure Epidermal Growth Factor Receptor Female Functional Imaging Functional disorder Goals Heterogeneity Human Hypoxia Image Imaging Techniques Imaging technology In complete remission Individual Lead Magnetic Resonance Magnetic Resonance Elastography Magnetic Resonance Imaging Malignant Neoplasms Mammary Neoplasms Medical Oncology Mentored Research Scientist Development Award Mentors Metabolism Methods Monitor Morphology Multimodal Imaging Nature Near-Infrared Spectroscopy Neoadjuvant Therapy Operative Surgical Procedures Optics Outcome Pathologic Pathology Report Patients Performance Physiological Physiology Positron-Emission Tomography Postoperative Period Protocols documentation ROC Curve Regression Analysis Research Research Personnel Research Project Grants Research Training Roentgen Rays Role Scanning Scientist Solid Neoplasm Survival Rate System Systemic Therapy Techniques Testing Tissues Training Training Support Translations Treatment Protocols Vascular Permeabilities X-Ray Computed Tomography advanced breast cancer angiogenesis base breast cancer diagnosis breast cancer survival breast imaging cancer imaging cancer subtypes cancer type career career development chemotherapy clinical prognosis cohort contrast enhanced data fusion density design diffuse optical tomography drug discovery early detection biomarkers elastography experience hemodynamics hormone receptor-positive image guided image reconstruction imaging biomarker imaging modality imaging platform improved individualized medicine innovation insight instrumentation magnetic field malignant breast neoplasm multimodality multiparametric imaging novel novel therapeutics optical imaging prototype research and development response skill acquisition success targeted treatment tissue oxygenation treatment response tumor tumor hypoxia viscoelasticity volunteer

项目摘要

Project Summary/Abstract This Mentored Research Scientist Development (K01) Award will support the training and career development of a junior investigator with prior training in near-infrared spectroscopy and multimodal x-ray/diffuse optical tomography, who is transitioning into the field of magnetic resonance (MR) and elastographic breast cancer imaging. The proposed career development plan includes training in MR imaging techniques, cancer biology, medical oncology, clinical research, and career development skills. The proposed research focuses on the development of novel breast cancer imaging techniques and sensitive, robust, and powerful multiparametric imaging markers to predict pathological outcomes early in neoadjuvant settings, thereby responding to an urgent clinical need to tailor treatment to individual diseases and improve breast cancer survival. Functional imaging is advantageous in monitoring neoadjuvant chemotherapy (NACT) since changes in tumor physiology manifest earlier than actual tumor shrinkage. However, breast tumors are complex, evolving systems characterized by profound spatial and temporal heterogeneity in their biological nature and response to treatment. Individual functional biomarkers that depict only one aspect of tumor physiology or biophysics are limited, and emerging studies have shown that their predictive performance varies among tumors with different subtypes. A multiparametric approach that combines information from functional imaging technologies with complementary sensitivities to the multifaceted underlying tumor physiology is needed to monitor NACT outcomes across different breast cancer types. To this end, the applicant has proposed to leverage a multimodal diffuse optical tomography, magnetic resonance imaging (MRI), and MR elastography imaging platform to test the main hypotheses that 1) multifunctional optical, MRI and elastography data can be acquired efficiently in healthy female volunteers using a multimodal breast MR coil; 2) the developed multiparametric imaging markers outperform individual markers from individual imaging modalities in predicting pathologic complete response as early as at the conclusion of the first cycle of treatment in breast cancer patients undergoing NACT; and 3) the predictive performance of multiparametric imaging markers is not significantly different among breast cancer subtypes. This approach will help us gain a comprehensive understanding of the multitude of simultaneous physiological changes in tumors related to microenvironment, angiogenesis, and metabolism as a result of NACT. Once validated, in the longer term, it also has the potential to advance response-guided targeted therapy, the approach demonstrated in the recent GeparTrio trial that can lead to significantly higher disease-free and overall survival rates. The success of the research project and training is ensured by a team of mentors and collaborators with complementary scientific expertise and substantial experience in advising young investigators on the development of an independent academic career.

项目总结/文摘