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
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.
Machine Learning and Computer Vision for Neurodevelopmental Disorders: Helping One Child at a Time
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.
MRI Vessel Wall Imaging
2019 Putman Vision Award Recipients
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.