Per ACGME guidelines, all residents are required to participate in at least one research project that culminates in a publication or presentation at a national meeting. We hold an annual research fair, where residents can learn about opportunities for research throughout the department (see photo below). In addition, residents interested in pursuing more advanced research opportunities may apply for participation in one of the following research tracks.
Residents specifically interested in a career that includes basic science or translational research can apply into the Clinician-Scientist Research Pathway (CSRP) at the end of the R2 year. Residents in this pathway are given a total of approximately 8 months or more of dedicated research time during the R3 and R4 years during which they learn the fundamentals of performing NIH-funded basic science or translational research in an established laboratory. CSRP represents will present their research at the annual department research symposium. Publication of research is expected and grant writing is encouraged.
Sharath Bhagavatula, MD (CSRP)
My research focuses on helping to develop novel technologies for interventional oncology. One of my projects involves developing tools to percutaneously deliver and retrieve implantable microdevices, which can potentially be used to assess efficacy of locally delivered chemotherapeutic agents in vivo prior to systemic delivery (Brigham and Women's Hospital, PI Dr. Oliver Jonas PhD and Dr. Stuart Silverman MD). Another project I’m working on is focused on developing and assessing the feasibility of percutaneous optical image guidance systems for procedures such as molecular targeted biopsies and tumor ablations (MGH/Wellman Center for Photomedicine, PI Dr. Guillermo Tearney MD/PhD).
Jeffrey Guenette, MD (CSRP)
My primary research focuses on new MR imaging applications in the head, neck, and spine, both for diagnostic and interventional purposes. Through a grant from the American Society of Head and Neck radiology, I am investigating new methods of imaging and 3D rendering of the facial nerve. I am also investigating applications of percutaneous image-guided head, neck, and spine interventions with a focus on developing methods that allow ablation of tumors adjacent to major neurovascular structures (PI: Thomas C. Lee M.D.). I have also spent time investigating quantitative patterns of brain injury in a group of symptomatic former NFL players and in a group of active duty military personnel who have sustained concussion and/or have PTSD (Psychiatry Neuroimaging Laboratory, PI: Martha Shenton Ph.D.). Finally, I have been performing radiology resident education research, primarily related to resident burnout (PI: Stacy E. Smith M.D.).
Elizabeth George, MBBS (CSRP)
My research emphasis is on multimodality imaging in response assessment and treatment planning in neuro-oncology. My primary research project focuses on glioblastoma patients treated with PD-L1 inhibition immunotherapy towards identifying response patterns and characterization of pseudo-response using advanced MR analysis and machine learning. In addition, I am also evaluating the role of novel amino-acid PET in patients with GBM on anti-angiogenic therapy (PI: Raymond Huang, MD, PhD). Other collaborative research involves combination of intraoperative US and MRI in assessing adequacy of surgical resection (PI: Alexandra Golby, MD).
Thomas Ng, MD, PhD (CSRP)
I am interested in translational functional and molecular imaging, especially with regards to oncology. With my current research project, I seek to understand the pharmacokinetics/dynamics of nano- and immuno- therapies in aggressive primary and metastatic cancers using multiscale molecular imaging. Findings from these studies will be used to develop efficacious combination treatment strategies and complementary, clinically-relevant, molecular imaging tools to evaluate these strategies in patients. (MGH/Center for Systems Biology, PIs: Ralph Weissleder MD PhD, Miles Miller PhD). I am also investigating the use of quantitative clinical DCE-MRI to characterize the tumor microenvironment to guide mesothelioma treatment and diagnosis (PI: Ritu Gill MD, BIDMC).
Nityanand Miskin, MD
I am interested in the exploding field of machine learning (ML) as it applies to radiological diagnosis. My main research project involves computer-assisted characterization of the ubiquitous renal cystic lesion using texture analysis and ML techniques, with the objective of quick and accurate categorization of lesions, along with separating benign cysts from those associated with malignancy (PI: Atul Shinagre, MD). I am also working on a ML project focused on early cervical spine fracture detection in the emergency department (Center for Clinical Data Science, PI: Bharti Khurana, MD). Another collaboration also related to spine imaging investigates variability in radiologist interpretation of degenerative disease on MRI (PI: Jacob C. Mandell, MD).
Newest CSRP residents being honored at the End-of-Year celebration 2018
Residents specifically interested in evidence-based imaging and quality improvement can apply at the end of the R2 year into a combined Residency and Fellowship Training Program at the Center for Evidence-Based Imaging (CEBI). This program is run in conjunction with the Harvard T.H. Chan School of Public Health’s Summer Program in Clinical Effectiveness. This program combines 12 months of translational and performance improvement research with 12 months of a radiology clinical fellowship in any radiology subspecialty. Residents are expected to remain at BWH for the clinical fellowship component of this program to maximize learning and continuity.
Tony Trinh, MD (CEBI)
As a part of the BWH radiology residency "3+2” training pathway, I was able to participate in the Center for Evidence Based Imaging (CEBI) Informatics fellowship during my fourth year of radiology residency training. Preparation for this fellowship required enrollment in the Harvard School of Public Health’s Program in Clinical Effectiveness (PCE), which provides a foundation of epidemiological and biostatistics training in preparation for future research endeavors (the HSPH program tuition is subsidized by CEBI). After completion of the PCE, I have spent 80% of my time on imaging informatics research with translation of results to clinical operations initiatives. These projects are focused on quality, safety, and efficiency of care delivery related to medical imaging.
The MGH & BWH Center for Clinical Data Science (CCDS) is a collaboration by Mass General and Brigham and Women's Hospitals to create, promote and commercialize artificial intelligence for healthcare. By using AI techniques such as machine learning and artificial neural networks, the center is building systems to improve the detection, diagnosis, treatment and management of diseases. Residents may choose to spend elective time in the R4 year at the CCDS.
Travis Caton, MD
Walter Wiggins, MD
In partnership with the National Center for Image Guided Therapy (NCIGT), our department has an NIH R25 fellowship, which could be incorporated into a 3+2 program for the appropriate resident. The Advanced Multimodality Image Guided Operating (AMIGO) suite is the clinical test-bed for research in the NCIGT and is the main area with R25 fellows complete cancer therapy-focused research projects.
For over a century, a leader in patient care, medical education and research, with expertise in virtually every specialty of medicine and surgery.