RSNA 2021 Trainee Research Prizes

The 2021 RSNA Annual Meeting Research Trainee Prizes for award-winning papers and scientific posters were announced in Radiology. Each subcommittee of the Program Committee can award three prizes each year to a resident or physician trainee, a medical student and a fellow for the best paper or scientific poster presented at the meeting. Each prize includes $1,000 and a certificate with their name and title of the paper or poster.

Fellows who received the award are:

• Ashitha Pathrose, MBBS, Northwestern University, for the poster, “Effect of Beta-blocker Therapy on Aortic Hemodynamics in Patients with Bicuspid Aortic Valve”
• Azadeh Tabari, Massachusetts General Hospital, Harvard Medical School, for the paper,
• “Machine-learning Based Radiomics to Predict Low-grade Intraductal Papillary Mucinous Neoplasm (IPMN) of The Pancreas”
• Garima Suman, MD, MBBS, Mayo Clinic, Rochester, for the paper, “AI-Powered Fully automated Detection of Pancreatic Ductal Adenocarcinoma (PDA) on Standard-of-care CT Scans”
• Yoshiaki Ota, MD, University of Michigan, for the poster, “DWI and PWI Assessment of Hereditary and Non-hereditary Paragangliomas in the Head and Neck”
• Xuefeng Kan, MD, PhD, University of Washington School of Medicine, for the paper, “Interventional Optical Imaging Permits Instant Visualization of Three Pathological Zones of Ablated Tumor Periphery”
• Simon Sun, MD, Hospital for Special Surgery, for the paper, “Evaluation of Deep-learning Reconstructed High-resolution 3D Lumbar Spine MRI to Improve Image Quality”
• Vineel Inampudi, MD, Health Care Global Cancer Hospital, for the paper, “Ga-68 FAPI Imaging versus FDG-PET Imaging in Hepatocellular Carcinoma”
• Wolfgang Kunz, MD, University Hospital, LMU Munich, for the paper, “Cost-Effectiveness of Endovascular Thrombectomy In Childhood Stroke: An Analysis From the Save Childs Study”
• Akitoshi Inoue, MD, PhD, Mayo Clinic, Rochester, for the paper, “Pilot Study to Evaluate the Feasibility of Replacing Conventional Head CT Images with a Single Series of Thin-slice, Low-noise Images Created Using a Multi-kernel Synthesis Method”
• Mingdong Fan, Mayo Clinic, Rochester, for the paper, “Measurement of Low-contrast Detectability Using Channelized Hotelling Observer on ACR Accreditation Phantom: Optimization and Repeatability”
• Zhongxing Zhou, Mayo Clinic, Rochester, for the paper, “Simultaneous CT Angiography and CT Venography Using Dual-contrast-agent Multi-energy CT: An Animal Feasibility Study”
• Garvit Devmohan Khatri, MBBS, University of Washington, for the poster, “Fetal Weight Percentile Curves Are Significantly Skewed”
• Fides Schwartz, MD, Duke University (Health System), for the paper, “Multireader Evaluation of the Impact of High-Matrix Size Reconstructions in Image Quality and Diagnostic Confidence of Peripheral Artery Disease in Arterial Runoff Studies of the Lower Extremities”

Medical students who received the award are:

• Alexander Boyko, PhD, Boston Medical Center, also recipient of the Dr Tapan K. Chaudhuri Trainee Research Prize, for the poster, “Impact of Race, Ethnicity, and Insurance Status on Breast Cancer Mortality at a Safety Net Academic Medical Center”
• Shant Malkasian, BS, University of California, Irvine, for the paper, “Single and Multiframe Super-resolution: Feasibility for Cardiac MRI”
• Joey Gu, BS, Warren Alpert Medical School of Brown, for the poster, “Lung-RADS Learning Curve? Chest vs General Radiologists Over 6 Years”
• Jahao Gao, Huashan Hospital, Fudan University, for the poster, “A Novel Radiogenomics Biomarkerbased on Hypoxic-genesubset: Accurate Survival and Prognostic Prediction of Renal Clear Cell Carcinoma”
• Ya Guo, MD, Institution/Image Center of Affiliated Hospital of Qinghai University, for the poster, “A MRI Mp2rage and SMS-Rs-fMRI Study in Vestibular Migraine Patients”
• Cynthia De la Garza Ramos, MD, Mayo Clinic Florida, for the paper, “Biochemical Safety of Ablative Yttrium-90 Transarterial Radioembolization for Hepatocellular Carcinoma as a Function of Percent Liver Treated”
• Shamrez Haider, BS, The University of Texas Southwestern Medical Center, for the poster, “Kypho-scoliosis in Neurofibromatosis Type 1 on Whole Body MRI: Frequency and Association with Intraspinal and Paraspinal Lesions and Tumors”
• Theresa Yu, BA, University of Maryland, for the paper, “Can Dual-Energy Marrow Imaging and Cinematic Rendering Improve Pelvic Fracture Severity Grading?”
• Meijuan He, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, for the poster, “Poly(n-vinyl Caprolactam) Nanogels Conjugated with Mno₂ and Cytosine-phosphorothioate-guanine Oligodeoxynucleotides for Radiotherapy of Orthotopic Glioblastoma”
• Aditya Khurana, BS, Mayo Clinic Alix School of Medicine, Mayo Clinic Arizona, for the paper, “Mismatch between Supply of Radiologists and Need for Imaging Services by US Geographic Region and State, From 2012-2018”
• Niklas Joern Tillmanns, Yale School of Medicine, for the poster, “Measuring Adherence to Tripod of Artificial Intelligence Papers in the Glioma Segmentation”
• Edward Wang, University of Western Ontario, for the paper, “MRI-based Radiomics and Machine Learning for Ependymoma: An International Study”
• Hainan Ren, BMedSc, Tohoku University, Graduate School of Medicine, for the paper, “The Texture Model of "Coronal and Sagittal" Planes on T2wi Could Accurately Predict Placenta Accreta Spectrum”
• Jing Ren, MD, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, for the paper, “Noninvasive Magnetic Resonance Imaging-derived Radiomics Analysis Improves Pretreatment Identification of Multimodality Therapy Candidates in Early-stage Cervical Cancer”
• Sophie You, BA, University of California, San Diego, for the paper, “Deep Learning Automated Phase Error Correction for Abdominopelvic 4D Flow MRI”

Residents who received the award include:

• Alba Cristina Igual Rouilleault, MD, Clínica Universidad de Navarra, for the paper, “Follow-up Study of Lymph Node Response Induced by M-RNA COVID-19 Vaccination”
• Yang Zhang, Rutgers-Cancer Institute of New Jersey, for the paper, “Application of Two Deep Learning Networks for Diagnosis of Breast Cancer on MRI: Automatic Detection Using Mask R-CNN followed by Classification Using ResNet50”
• Emily Koons, Mayo Clinic, Rochester, for the paper, “Quantification of Lumen Diameter within Coronary Artery Stents Using a High Resolution Photon Counting Detector CT and a Deep Convolutional Neural Network Denoising Algorithm”
• Samer Alabed, MD, MSc, University of Sheffield, for the paper, “AI vs Manual Cardiac MRI Measurements - Clinical Benchmarking Using Heart Catheterization and Mortality Prediction”
• Krit Dwivedi, MD, University of Sheffield, for the poster, “CT Lung Parenchymal Patterns as Significant Prognostic Imaging Biomarkers in Pulmonary Hypertension with Lung Disease”
• Sergio R. Grosu, MD, University of California, San Francisco, for the paper, “Comparison of Conventional and Spectral-based Tagged Stool Cleansing Algorithms at CT Colonography”
• Dominik Andre Deniffel, MD, Lunenfeld-Tanenbaum Research Institute and University of Toronto, for the poster, “Prostate Biopsy in the Era of MRI-targeting: Do All Men Require Additional Systematic Biopsy?”
• Jonas Martin Getzmann, MD, University Hospital Zurich, for the paper, “Impact of Acceleration on Bone Depiction Quality by Ultrashort Echo Time Magnetic Resonance Bone Imaging Sequences in Medication-related Osteonecrosis of the Jaw”
• Vanessa Schmidt, MD, University Hospital, LMU Munich, for the poster, “Semi-automatic MRI Feature Assessment in Small- and Medium Volume Benign Prostatic Hyperplasia after Prostatic Artery Embolization”
• Gary Tran, MD, Henry Ford Hospital, for the poster, “Incidental Findings Detected on Preoperative CT Imaging Obtained for Robotic-assisted Joint Replacements: Clinical Importance and the Effect on the Scheduled Arthroplasty”
• Markus Wennmann, MD, German Cancer Research Center, for the paper, “Automatic MRI Analysis in Multiple Myeloma: A Framework Combining Deep Learning for Automatic Pelvic Bone Marrow Segmentation and Radiomics for Prediction of Plasma Cell Infiltration in Multiple Myeloma Patients”
• Maadrika Meenakshi Nirvana Phoelmatie Kanglie, MD, Amsterdam UMC, for the paper, “Diagnostic Accuracy of Ultra-low-dose Chest CT versus Chest X-ray in Patients Suspected of Non-traumatic Pulmonary Disease at the Emergency Department”
• Michal Eifer, MD, Chaim Sheba Medical Center, for the paper, “Axillary Lymph Node FDG PET/CT Uptake Post Covid-19 MRNA Vaccination and its Association with Age and Immune Status”
• Scott James Adams, MD, University of Saskatchewan, for the poster, “A Telerobotic Ultrasound Clinic Model of Ultrasound Service Delivery to Improve Access to Imaging in Rural and Remote Communities”
• Anjuna Reghunath, MD, MBBS, Vardhman Mahavir Medical College and Safdarjung Hospital, for the paper, “Role of Shear Wave Elastography in Assessment of Hypoxic Ischemic Injury (HII) in Preterm Neonates”
• Nara Savoye Higano, PhD, Cincinnati Children’s Hospital Medical Center, for the paper, “Hyperinflation Is More Clinically Relevant than Hyperdensity in Neonatal Lung Disease of Prematurity via 3D MRI”
• Nathan Huber, Mayo Clinic, Rochester, for the paper, “Deep Learning Patient-specific Noise Reduction Framework for High Resolution Chest Photon Counting Detector CT”
• Shearwood McClelland III, MD, Indiana University, for the paper, “Radiosurgery Dose Reduction for Brain Metastases on Immunotherapy (RADREMI): Gamma Knife Versus Linear Accelerator Outcomes from a Multicenter Phase I Trial”
• Michael Kharouta, MD, University Hospitals Seidman Cancer Center, for the paper, “The Role of Radiotherapy to the Primary Site in Oropharyngeal Cancer with Limited Metastases-A National Cancer Database (NCDB) Analysis”
• Maguy Farhat, MD, University of Texas MD Anderson Cancer Center, for the paper, “Computational Models Forecasting Response of High-grade Glioma during Adaptive Radiation Therapy”
• Christine Elizabeth Boone, MD, PhD, UC San Diego Health, for the poster, “4D Flow MR Imaging for Characterization of Abdominopelvic Venous Flow in Pelvic Venous Disease”