2023 Annual Meeting Research and Educational Poster Awards
NAMED RESEARCH AWARDS
Hounsfield Award: A Fully Automated AI Algorithm for Opportunistic Screening of Cardiomegaly on Chest or Abdominal CT; Dr. Rafah Mresh
Lauterbur Award (presented by Bracco): LI-RADS Treatment Response Algorithm v2023 versus v2018: Assessing Diagnostic Performance and Inter-reader Agreement in Patients with Hepatocellular Carcinoma Treated with Stereotactic Body Radiotherapy; Dr. Josh Breeden
Resoundant Innovation Award: International Comparative Study of Artificial Intelligence and Radiologists in Clinically Significant Prostate Cancer Detection: Results From The PI-CAI Consortium; Dr. Jurgen Futterer
Moncada Award (presented by Bracco): Performance of 2018 LI-RADS versus rLI-RADS: An Individual Patient Data Meta; Dr. Stacy Goins
Young Investigator Award: The High Unreimbursed Costs of Multidisciplinary Conferences to a Radiology Department: A Prospective Analysis at a Single Academic Medical Center; Dr. Meridith Kisting
OUTSTANDING SCIENTIFIC AWARD (Workshop Oral Scientific Presentation)
Debora Recchimuzzi: Detection of clinically significant prostate cancer in men with a negative initial round of targeted biopsies and suspicious multiparametric magnetic resonance findings
Bari Dane: Crohns Disease Inflammation Severity Assessment with Photon Counting CT Enterography: Comparison with Endoscopic Histopathology
Omid Shafaat: Abdominal CT Measurements of Body Composition and Waitlist Mortality in Kidney Transplant Candidates
CUM LAUDE POSTER AWARDS
Yashant Aswani, MD; University of Iowa: Imaging in penile prosthesis
Matthew Smith, MD; Vanderbilt: Spectral Analysis of Non-contrast Fluoroscopy for Evaluation of Pulmonary Perfusion: Sensitivity Testing and Validation with a Lung Perfusion Phantom and Clinical Comparison to Pulmonary Angiography
Sonia Gaur, MD; University of Michigan: Radiologist Variation Predicts Differential Resource Utilization but Not Clinical Outcome in Emergency Department Patients Imaged for Right Upper Quadrant Pain
Valerie Khaykin; University of Michigan: Sneak Peek: Longitudinal Review of CT and MR Imaging Findings After Histotripsy to Liver Tumors
Naveen Rajamohan, MD; UT Southwestern: Bringing PET/MRI into Practice: Challenges and Considerations
Octavia Bane, MD; Mount Sinai: Splanchnic vasculature flow quantified by 4D flow MRI diagnoses severe portal hypertension
Alexander Moeller, MD; University of Wisconsin: Comparing Automated Abdominal and Thoracic Aortic Agatston Measurements Derived from a Deep Learning-Based Model
Amar Shah, MD; Mayo Arizona: Short Segment Linear Flaps of the Abdominal Aorta are Not Dissections: Discovery of their Origin via Retrospective Imaging Review
Tayson Lin, MD; University of Michigan: Clinical Utility of a Commercial 0.55 Tesla MRI System for Evaluating of Renal Lesions
Jason Chandrapal, MD; Diagnostic Radiology Resident at University of Texas Southwestern in Dallas, TX.: Periprostatic Anatomy: An Illustrated Review And Implications for Treatment Planning
Lillian Chiu Kennedy, MD; NYU: Comparison of Deep Learning-Based Two Fold Accelerated Diffusion Weighted Imaging with Conventional Diffusion Weighted Imaging in Female Pelvic Imaging
Syed Jamal Safdar Gardezi, MD; University of Wisconsin: An AI Approach to Radiation Dose Reduction in CT Urography: Synthesizing Nephrographic Phase Images from the Non-Contrast and Excretory Phases
Melina Hosseiny, MD; UC San Diego: Deep Learning ECG Waveform Detection and Prediction for Cardiac MRI
Giuseppe Toia, MD; University of Wisconsin: Consumable Material Waste Comparison between Multi-use Syringeless and Single-use Syringe-based Injectors in Computed Tomography
Andrew Ruff, MD; NYU: Determining the Optimal Virtual Monoenergetic Reconstruction Energy for the Detection of Pancreatic Adenocarcinoma during Pancreatic Parenchymal Phase using Photon Counting CT
MAGNA CUM LAUDE (Three-Pearls)
Sarah LaPierre; MRI Deep Infiltrating Endometriosis with Operative Correlation
Kayli Lala; MR Imaging Biomarkers: Can aggressive imaging features of hepatocellular carcinoma predict early post-treatment recurrence?
Jordan Chamberlin; Mucinous Cystic Neoplasms of the Liver: A New Paradigm in Diagnosis
2022 Annual Meeting Research and Educational Poster Awards
NAMED RESEARCH AWARDS
Hounsfield award: Prospective comparative effectiveness study of AI assisted versus unassisted radiologists in the detection of incidental pulmonary emboli; Steven Rothenberg: srothenb@uab.edu (University of Alabama Birmingham)
Lauterbur award: Anatomic tropism in molecular clusters of metastatic clear cell renal cell carcinoma: Analysis of the total tumor burden in the Immotion 150 cohort; Gaelle Haddad: gaelleh7@gmail.com (University of Texas Southwestern)
Resoundant Innovation award: Non-invasive histotripsy ablation of liver tumor in a rat hepatocellular carcinoma model; Maggie Zhang: maggiez@med.umich.edu (University of Michigan)
Moncada award: Gadoxeate-enhanced 18FDG-PET/MRI versus CT for detection of liver and peritoneal metastases form pancreatic ductal adenocarcinoma; Naveen Rajamohan: naveenrajamohan@gmail.com (Mayo Clinic)
Young Investigator award: Impact of online MRI safety screening questionnaires on patient workflow; Sheena Chu: sheena.chu@wisc.edu (University of Wisconsin)
OUTSTANDING SCIENTIFIC AWARD (Workshop Oral Scientific Presentation)
Aditi Chaurasia: The Kidney Imaging Surveillance Scoring System (KISSS): A Qualitative MRI-Based Approach to Characterize Growth Rates of Clear Cell Carcinomas in Patients with von Hippel Lindau (VHL) Syndrome; adi5974@gmail.com (NIH)
Joo Yeon Shin: Noninvasive Diagnosis of Esophageal Varices and Prediction of Liver Disease Outcome Using Magnetic Resonance Elastography; bachir.taouli@mountsinai.org (BioMedical Engineering and Imaging Institute (BMEII) vs Icahn School of Medicine at Mount Sinai)
Pooyan Khalighinejad: Early Efficacy and Safety of MRI-guided Transurethral Ablation of the Prostate and the Role of Susceptibility-weighted MRI; pooyan.khalighinejad@utsouthwestern.edu (University of Texas Southwestern)
CUM LAUDE POSTER AWARDS
JinJin Cao: Response assessment in HCC: A primer for radiologists; jcao11@mgh.harvard.edu (Massachusetts General Hospital)
JinJin Cao: Impact of Deep Learning Imaging Reconstruction on Hypodense Liver Lesion Detection on Dual-Energy CT Data Sets; jcao11@mgh.harvard.edu (Massachusetts General Hospital)
Fides Regina Schwartz: Liver Fat Quantification in Photon Counting CT in Comparison to Clinical MRI - First Experience in an Obese Population; fides.schwartz@duke.edu (Duke University Medical Center) Erik Paulson
Francesca Rigiroli: Causes and outcomes of CT-guided biopsies with pathology results discordant with imaging findings; f.rigiroli@gmail.com (Beth Israel Deaconess Medical Center) Jonny Kruskal
Giuseppe Toia: Performance and Radiation Saving Potential of a Deep Learning CT Image Reconstruction Algorithm for Detectability of Small Hypoattenuating Lesions: 24-Reader Multi-Case Image Evaluation and Task-based Observer Modeling; gtoia@uwhealth.org (University of Wisconsin)
Thekla Oechtering: Quality improvement of radial 4D flow MRI of the abdomen in obese subjects through mitigation of fat signal; oechtering@wisc.edu (University of Wisconsin)
Vikrant Khare: 2022 Update of the Barcelona Clinic Liver Cancer Recommendations: What the Radiologist Needs to Know; vkhare@med.umich.edu (University of Michigan) Vikas Gulani
Giridhar Dasegowda: Are we choosing quantity over quality? Incidence and distribution of poor-quality chest radiographs in a multinational imaging practice study; giridhar.dasegowda@gmail.com (Massachusetts General Hospital)
Colm Kelleher: A faster prostate MRI: Comparing a novel denoised, single-average T2 sequence to the conventional multi-average T2 sequence regarding lesion detection and PI-RADS score assessment; cbk8@duke.edu (Duke) Erik Paulson
Juan Manuel Zambrano Chaves: Opportunistic Analysis of Skeletal Muscle at Abdominal CT in 17,000 Patients Reveals Associations with Disease Phenotypes; jmz@stanford.edu (Stanford)
Octavia Bane: Multiparametric MRI predicts HCC immunophenotype; bachir.taouli@mountsinai.org (BioMedical Engineering and Imaging Institute (BMEII) vs Icahn School of Medicine at Mount Sinai)
Sindhura Tadisetty: Where do they come from and where do they go? - Abdominal spaces as anatomical highways for disease traffic; sindhura.tadisetty@gmail.com (University of Kentucky)
Adish Parikh: MR Imaging biomarkers: prognostic predictors of Aggressive HCC; adparikh@umich.edu (University of Michigan) Vikas Gulani
Bari Dane: Preoperative cross-sectional imaging findings in patients with surgically complex ileocolic Crohn's disease; bari.dane@nyulangone.org (NYU Langone Medical Center)
Abhay Dhaliwal: Spectrum of Cavitary Pulmonary Nodules; abhaydhaliwal@gmail.com (Oakland University William Beaumont School of Medicine)
MAGNA CUM LAUDE (Three-Pearls)
Valerie Khyakin: Hot Tips and Cold Facts: Comparing Minimally and Non-invasive Locoregional Therapies for Hepatocellular Carcinoma; vkh@med.umich.edu (University of Michigan)
Lucas Aronson: Leveraging virtual containers for high-powered, collaborative AI research in radiology; lcaronson@wisc.edu (University of Wisconsin)
Allan Brazier: Unexpected imaging findings following uterine interventions; adela.pouzar@beaumont.org allan.brazier@beaumont.org (Oakland University William Beaumont School of Medicine)