Comparative Effectiveness Research Award

This award was created to support investigators in the generation and synthesis of evidence that compares the benefits and harms of diagnostic imaging methods or interventions to prevent, diagnose, treat and monitor a clinical condition or to improve the delivery of care. Comparative effectiveness research (CER) is valuable to clinicians, patients, purchasers, and policy makers in making informed decisions that will improve health care at both the individual and population levels. CER includes the direct comparison of diagnostic imaging modalities or interventions for a specific disease in a study population. Neuroradiologists have an important role in the development of new imaging technologies and image-guided procedures, as well as in the assessment of these techniques in the clinical care of patients.

Grant Recipients


2017

Timothy J. Amrhein, MD
Duke University Medical Center

Comparison of Cervical Transforaminal Epidural Corticosteroid Injections with lateralized Interlaminar Epidural Corticosteroid Injections for Treatment of Cervicogenic Upper Extremity Radiculopathy


2016

Falgun Chokshi, MD, MS
Emory University School of Medicine

Diagnostic Yield & Cost of Repeat Emergency Department Head Computed Tomography for Non-Traumatic, Non-Localizing, & Non-Painful Neurologic Symptoms Using Machine Learning


2015

Kristen Yeom, MD
Stanford University- Stanford, California

Detecting Abnormalities in Patients Who Otherwise Cannot be Reliably Scanned with MRI, by Reducing the Scan Failure Rate through a Fast Motion-Corrected Brain Protocol with High Diagnostic Quality, and with Efficacy That Is Comparable to or Superior Than the Conventional MRI Protocol


2014

Vivek Prabhakaran, MD, PhD
UW Health UW Hospital Clinics, Univ. of Wisconsin, Madison, Wisconsin

Utility of fMRI as a Pre-surgical Planning Tool in Brain Tumor Patients


2012

Ari M. Blitz, MD
Johns Hopkins Hospital, Baltimore, MD

Comparative Effectiveness of High Resolution 3D vs. Standard 2D Protocol Pituitary MRI for Cushing’s Disease


2011

Ajay Gupta, MD
NY Presbyterian Hospital, New York, NY

Comparison of CT Perfusion and Digital Subtraction Angiography in the Evaluation of Delayed Cerebral Ischemia Using Bayesian Analysis