The Society of Cardiovascular Computed Tomography (SCCT) has announced the recipients of the Toshiba Young Investigator Award (YIA) presented at the society's annual meeting.
Sponsored by an educational grant from Toshiba America Medical Systems, the YIA supports the professional and clinical development of those within five years of completing a training program.
The finalists each submitted a minimanuscript of 1,000 words on research related to the technical and clinical advancement of cardiovascular CT.
The following were named winners:
- Dr. Amit Patel -- University of Chicago Medical Center, for "Detection of Myocardial Perfusion Abnormalities Using Ultra-Low Radiation Dose Regadenoson Stress Multidetector Computed Tomography"
- Brad Traeger, PhD -- North Dakota State University, for "Characterization of Anatomic (AOA) versus Effective Orifice Area (EOA) and Pressure Recovery of Native Aortic Valve Stenosis (NAS) Using Computational Fluid Dynamics (CFD) and Computed Tomography (CT) Derived In Vivo Aortic Valve-Root Geometry (IVG)"
The other three finalists for this year's YIA were:
- Dr. Onkar Jha -- Montefiore Medical Center, Albert Einstein College of Medicine, for "Evaluation of Left Atrial Appendage Stasis with Multidetector Computed Tomography: A Comparison with Transesophageal Echocardiography"
- Dr. Takehiro Nakahara -- Gunma University Graduate School of Medicine, for "'Replacement Injection Methods May Enable Better Visualization in the Right Heart"
- Dr. Ryo Nakazato -- Cedars-Sinai Heart Institute, for "Incremental Value of Epicardial Fat Volume Over Coronary Calcium Scoring for Predicting Myocardial Ischemia by Positron-Emission Tomography and Obstructive Coronary Artery Stenosis by Invasive Angiography"
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)