Radiology Grand Rounds Lecture Series

Duke Radiology Grand Rounds Lectures are conducted on Thursdays at 7:30 a.m.- 8:30 a.m. in Room 2002 Duke North. The mission for Radiology Grand Rounds is to provide an educational format which has a broad appeal to faculty and trainees. If you have any further questions regarding Radiology Grand Rounds, please contact Debbie Griffin at 919-684-7228.

 January 2020 Schedule

Marketing The Clinical Radiology Practice

January 16, 2020 7:30 a.m. Duke North Room 2002

Clinical and technical expertise are necessary, but insufficient to sustain a clinical radiology practice. Well-formulated, strategic business planning that includes a formal marketing strategy is essential to help ensure practice growth and sustainability. Strategic marketing of a radiology practice relies on several critical elements, which will be reviewed and practically illustrated. Thoughtful techniques, data collection, and consistent reevaluation can maximize the impact of the plan and improve ROI.

Mark Lessne, MD

Vascular and Interventional Radiologist, Charlotte Radiology, Vascular and Interventional Specialists, Charlotte, NC

Dr. Lessne is a vascular & interventional radiologist at Charlotte Radiology. Originally from south Florida, Dr. Lessne studied mathematics, chemistry, and theatre at Boston University where he also obtained his MD. Dr. Lessne then completed his residency in diagnostic radiology and fellowship in vascular and interventional radiology at Duke University before serving as Assistant professor of radiology at Johns Hopkins Medical Institute, where he still holds an adjunct appointment. He is the author of over 30 peer-reviewed articles and multiple book chapters. Dr. Lessne’s practice is focused on the care and treatment of patients with vascular disease, including peripheral artery disease, critical limb ischemia, central venous occlusions, and IVC filters. He lives with his wife, a gastroenterologist, and three children.

Lauren Herring, MBA

VP of Marketing at Charlotte Radiology

Lauren Herring, MBA, is the Vice President of Marketing at Charlotte Radiology in Charlotte, N.C, where she is responsible for consumer marketing, provider marketing, and marketing insight and analytics. Previously, she spent eight years at GlaxoSmithKline (GSK), where she worked in progressive roles in marketing, sales, and market access which included the development and execution of strategic and operational plans for new treatments in the United States and globally. Prior to joining GSK, Lauren worked in marketing roles for national brands at companies such as Hanesbrands, Inc. and Alcon Laboratories. She earned her Masters of Business Administration (MBA) at West Texas A&M University. At Austin College, she was awarded a Bachelor of Arts in Business Administration and Exercise and Sport Science.

Machine Learning and Computer Vision for Neurodevelopmental Disorders: Helping One Child at a Time

January 23, 2020 7:30 a.m. Duke North Room 2002

Despite significant recent advances in molecular genetics and neuroscience, behavioral ratings based on clinical observations are still the gold standard for screening, diagnosing, and assessing outcomes in neurodevelopmental disorders, including autism spectrum disorder, the core of this talk. Such behavioral ratings are subjective, require significant clinician expertise and training, typically do not capture data from the children in their natural environments such as homes or schools, and are not scalable for large population screening, low-income communities, or longitudinal monitoring, all of which are critical for outcome evaluation in multisite studies and for understanding and evaluating symptoms in the general population. The development of computational approaches to standardized objective behavioral assessment is, thus, a significant unmet need in autism spectrum disorder in particular and developmental and neurodegenerative disorders in general. Here, we discuss how computer vision and machine learning can develop scalable low-cost mobile health methods for automatically and consistently assessing existing biomarkers, from eye tracking (gaze analysis) to movement patterns and affect and facial-based analysis, while also providing tools and big data for novel discovery. We will present results from our multiple clinical studies, where we have already collected the largest available data in the field, as well as the challenges of the discipline. The work presented here is in collaboration with Geri Dawson, Kim Carpenter, Jordan Hashemi, Zhuoqing Cheng, Dmitry Isaev, Matthieu Bovery, Steven Espinosa, Kathleen Campbell, Elena Tenenbaum, and others in this interdisciplinary team of MDs, therapists, engineers, developers, advocates, and most of all, children participants.

Guillermo Sapiro, PhD, MSc

James B. Duke Professor of Electrical and Computer Engineering

Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology, in 1989, 1991, and 1993 respectively. After post-doctoral research at MIT, Dr. Sapiro became Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California. He was with the Department of Electrical and Computer Engineering at the University of Minnesota, where he held the position of Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. Currently he is the Edmund T. Pratt, Jr. School Professor with Duke University.
G. Sapiro works on theory and applications in computer vision, computer graphics, medical imaging, image analysis, and machine learning. He has authored and co-authored over 300 papers in these areas and has written a book published by Cambridge University Press, January 2001.
G. Sapiro was awarded the Gutwirth Scholarship for Special Excellence in Graduate Studies in 1991, the Ollendorff Fellowship for Excellence in Vision and Image Understanding Work in 1992, the Rothschild Fellowship for Post-Doctoral Studies in 1993, the Office of Naval Research Young Investigator Award in 1998, the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the National Science Foundation Career Award in 1999, and the National Security Science and Engineering Faculty Fellowship in 2010. He received the test of time award at ICCV 2011. He was elected to the American Academy of Arts and Sciences on 2018.
G. Sapiro is a Fellow of IEEE and SIAM. G. Sapiro was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences.

MRI Vessel Wall Imaging

January 30, 2020 7:30 a.m. Duke North Room 2002
L. Taylor Davis, MD

2019 Putman Vision Award Recipients

February 6, 2020 7:30 a.m. Duke North Room 2002

                                   Daniel Barboriak, M.D. / Bryan Soher, Ph.D.                                                  Feasibility and Reproducibility of Advanced MRI Methods in High Grade Gliomas

This study determined feasibility and reproducibility of utilizing quantitative MR techniques in patients with high grade gliomas whose tumors do not demonstrate measurable enhancement in standard MRI. Methods included: DKI – diffusion kurtosis imaging, EPSI – echo planar spectroscopic imaging, and QSM – quantitative susceptibility mapping. Our primary goal was to determine subject compliance and coefficients of variance within these measures for use in a longitudinal studies. We also preliminarily studied whether changes in the quantitative parameters derived may be useful in predicting patient survival.


                                                      Mustafa Bashir, M.D.                                                                        Ferumoxytol-Enhanced MRI for In Vivo Macrophage Tracking

Iron nano-particles are potentially useful for labeling and tracking various types of cells in the body.  In particular low-level immunologic responses to malignancy may be detectable based on trafficking of iron-labeled macrophages to tumor sites.  In this project, we assessed whether macrophage migration to the pancreas could be assessed following in vivo administration of an FDA-approved IV iron compound.


                                                         Charles Kim, M.D.                                                              Modulation of Physical Tumoral Properties to Augment Thermal Ablation

 Radiofrequency and microwave ablation are well established techniques for curing solid tumors; however, cure rates are limited by tumor size and location. Radiofrequency and microwave energy deposition is affected by certain physical tumoral characteristics, which may potentially be modulated in a manner to improve ablation efficacy.

Daniel Barboriak, M.D., Brian Soher, PhD., Mustafa Bashir, M.D., Charles Kim, M.D.