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Wylie J. Dodds Research Award

2017  Wylie J. Dodds Research Award Recipient

Patricia Coutinho de Souza, DVM, PhD

of Beth Israel Deaconess Medical Center
In Vivo Tracking of Hepatic c-Met Expression Following RF Ablation and Tumorigenic Response in c-Met Positive Hepatocellular Carcinoma Using Targeted Molecular MRI

Co-Investigators: Leo Tsai, MD, PhD, Muneeb Ahmed, MD


Past Recipients of the Wylie J. Dodds Research Award 

2016: Richard Do, MD of Memorial Sloan Kettering Cancer Center

Stability of Radiomic Features for Abdominal Tumors on Contrast Enhansed CT with Variable Acquisition Parameters


2015: Daniele Marin, MD of Duke University

Toward Precise and Accurate Assessment of Dose Reduction Using Iterative Reconstruction Methods for Abdominal Imaging Applications


2014: Thomas A. Hope, MD of the University of California San Francisco

Utility of Combined Ga-68 DOTA-TATE PET and Eovist MRI Utilizing PET/M


2013: Meghan G. Lubner, MD, University of Wisconsin School of Medicine and Public Health

Use of Dual Energy CT for Intra- and Post-procedure Monitoring of Tumor Ablation


2012: John V. Thomas, MD, The University of Alabama at Birmingham

The Role of Gadoxetate (Eovist) Enhanced Spectral Dual-Energy CT in Evaluating Hilar Cholangiocarcinoma:  A Preliminary Study


2011: Aya Kamaya, MD of Stanford University Medical Center

Prognostic value of early changes in liver metastases treated with bevacizumab determined study

2010: Daniela Husarik, MD of Duke University Medical Center

Low kVp contrast-enhanced CT: can imaging closer to the k-edge of iodine allow for a reduction in contrast media?


2009: Kumaresan Sandrasegaran, MD of Indiana University

Early Prediction of the Response of Hepatocellular Cancer to Yttrium-90 Radioembolization Using
MRI and MR Spectroscopy


2008: Paul Shyn, MD of Brighman and Women’s Hospital

Assessment of Crohn Disease Activity with FDG PET/CT Enterography


2007: Dushyant Sahani, MD of Massachusetts General Hospital

Perfusion CT of Pancreas: For Tissue Characterization, Predicting Outcome and Treatment Response Assessment


2006: James Huprich, MD of Mayo Clinic Rochester

Detection of Obscure GI Bleeding: Prospective Comparison of Timed Multiphase 64-channel CT Enterography and Wireless Capsule Endoscopy


2005: Dushyant Sahani, MD of Massachusetts General Hospital

Role of PET/CT in the Characterization of Intradutal Pappilary Mucinous Neoplasms (IPMN) of the Pancreas


2004: Bachir Taouli, MD of NYU Medical Center

Correlation between Hepatic Apparent Diffusion Coefficient and Hepatic Fibrosis and Necroinflammation in Chronic Viral Hepatitis B and C


2003: Aliya Qayyum, MD of The University of California, San Francisco

Non-Invasive Evaluation of Pathology and Prediction of Outcome in Non-Alcoholic Fatty Liver Disease: Role of MR Imaging and Spectroscopy


2002: David Hough, MD of Mayo Clinic

Feasibility Study for Detection of Colonic Polyps with Magnetic Resonance Colonography, CO2 Enema and Conventional Versus Fecal Tagged Technique


2001: Michael Blake, MD of Massachusetts General Hospital

Radiation Dose Optimization in Abdominal Computer Tomography


2000: Stuart Silverman, MD of Brigham and Women’s Hospital

Telomerase Activity in Needle Biopsy Specimens


1999: Desireé Morgan, MD of the University of Alabama Birmingham Medical Center

Magnetic Resonance Pancreatography Following Nonsurgical Therapy for Acute Necrotizing Pancreatitis:
What Remains of the Pancreatic Duct?



SGR Research Award


Prior to the named research awards, the former Society of Gastrointestinal Radiologists would give the SGR Research Award. The following members received this award.


1998: Gerald D. Dodd, III of The University of Colorado

Radiofrequency Thermal Ablation of Malignant Hepatic Tumors


Mary T. Keogan, MD of St. James' Hospital

Outcome Analysis of Patients with Acute Pancreatitis using an Artificial Neural Network
Sherry Teefey, MD of Mallinckrodt Institute of Radiology

The Agony and the Ecstasy of Animal Research


1996: R. Brooke Jeffrey, MD of Stanford University Hospital

Analysis of 3-D Colonoscopy



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