Contact: Elise Bender
Society of Cardiovascular Computed Tomography (SCCT) Announces Finalists for the 10th Annual Toshiba Young Investigator Awards (YIA)
Vienna, VA (May 27, 2016) - The Society of Cardiovascular Computed Tomography (SCCT) announces the finalists for the 10th Annual Toshiba Young Investigator Awards (YIA). Underwritten by Toshiba America Medical Systems, Inc., the YIA program supports the professional and clinical development of top radiology residents and cardiology fellows within five years of completing a training program.
Each applicant submitted an abstract and a mini-manuscript concerning research related to the technical and clinical advancement of cardiovascular CT. Each of the finalists will be granted a complimentary SCCT membership for one year, a $1,000 travel stipend and free registration to the SCCT's 11th Annual Scientific Meeting in Orlando (June 23-26, 2016). Each finalist will give an oral presentation at the Annual Scientific Meeting. The manuscripts and presentations will be judged by an independent panel, and two winners will then be recognized at the Meeting. The award winners' manuscripts will be eligible for priority peer-reviewed publication in t
he Journal of Cardiovascular Computed Tomography.
"SCCT and Toshiba share the commitment to fostering the development of radiology residents and cardiology fellows to become tomorrow's diagnostic imaging leaders," said Dominic Smith, senior director, CT, Nuclear Medicine, and MR Business Units, Toshiba. "Toshiba's continued sponsorship of this award is a testament to our mission to make a difference by supporting innovative solutions and new approaches to quality patient care and safety in medical imaging."
This year's finalists are:
Rolf Symons, MD
CCTA Reproducibility Of Coronary Plaque Volume: Sample Size Implications For Clinical Trials
Fabian Plank, MD
Are There Gender Differences In Quantitative Coronary Stenosis Parameters For The Prediction Of Hemodynamically Significant Lesions And In Plaque Characteristics By Coronary Computed Tomography Angiography?
Christian Tesche, MD
CT-derived FFR: Computational Fluid Dynamics versus Machine Learning
Christian Tesche, MD
Coronary CT Angiography Derived Quantitative Markers For The Prediction Of In-stent Restenosis As Defined By Quantitative Coronary Angiography
For more information about the 10th Annual Toshiba Young Investigator Awards please visit