Presenter: Fatemeh Homayounieh and Mannudeep K. Kalra Date of broadcast: 23 October 2019, 4 pm CET (check your corresponding time)
About the webinar
There are variations in scan practices and radiation doses associated with computed tomography (CT) performed in patients with urinary stones and hematuria. Studies have shown that it is possible to reduce radiation doses for these indications without affecting the diagnostic information available from CT images. This presentation will review the existing literature on optimizing CT for urinary stones and hematuria and discuss practical strategies on optimizing scan protocols on various CT platforms.
Learning objectives
To learn what defines low dose CT for kidney stones.
To review the literature for optimizing CT radiation doses for kidney stones and CT urography.
To propose practical strategies for adjusting CT protocol and radiation doses.
About the presenters
Fatemeh Homayounieh, MD, Boston, USA Postdoc research fellow in department of radiology at Massachusetts General Hospital, affiliated with Harvard Medical School. Dr. Homayounieh’s research is focused mostly on image quality, patient safety and deep learning techniques in medical diagnosis. She has published several papers in peer-reviewed journals and has been invited as a presenter to several scientific assemblies and annual meetings. She was awarded the 1st price as a Scientific Trainee in Association of University Radiologist (AUR) meeting, Baltimore, Maryland, 2019.
Mannudeep K. Kalra, MD, Boston, USA Professor of Radiology, Harvard Medical School and an attending radiologist in Massachusetts General Hospital. Dr. Kalra’s research and education has focused on optimization of CT radiation dose and machine learning applications in radiology. He has >400 original research articles, reviews, book chapters and conference publications. He has participated in projects with the International Atomic Energy Agency (IAEA), International Commission on Radiological Protection (ICRP), and the US National Council for Radiation Protection (NCRP). He has won numerous awards for his work on CT radiation optimization.
