Meet the Minnies 2024 semifinal candidates

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The following is the list of candidates for the 2024 edition of the Minnies, AuntMinnie.com's campaign to recognize the best and brightest in medical imaging. This year, over 200 candidates have been selected as semifinalists for 14 categories, ranging from Most Influential Radiology Researcher to Best New Radiology Software.

The semifinalist list was compiled based on nominations from members of AuntMinnie.com. Winners will be selected by our expert panel in two rounds of voting. The finalists will be announced in mid-October, followed by the winners in November.

Most Influential Radiology Researcher

Talissa Altes, MD, University of Missouri

Ramsey Badawi, PhD, University of California, Davis

Manisha Bahl, MD, Harvard Medical School

Suzie Bash, MD, RadNet

Rajesh Botchu, MD, Royal Orthopaedic Hospital, UK

Simon Cherry, PhD, University of California, Davis

Heike Daldrup-Link, MD, PhD, Stanford University

Florence Doo, MD, University of Maryland

Damini Dey, PhD, Cedars-Sinai Medical Center

Bastiaan Driehuys, Duke University

Zahi Fayad, PhD, Icahn School of Medicine at Mt. Sinai

Udo Hoffmann, MD,  Harvard Medical School

Danny Hughes, PhD, George Mason University

Daniel Kopans, MD, Harvard Medical School

Phillip Kuo, MD, PhD, University of Arizona

Charlene Liew, MD, Changi General Hospital in Singapore

Mahadevappa Mahesh, PhD, Johns Hopkins Medicine

Erik Middlebrooks, MD, Mayo Clinic

Perry Pickhardt, MD, University of Wisconsin School of Medicine and Public Health

Katja Pinker-Domenig, MD, PhD, Memorial Sloan Kettering Cancer Center

Neil Rofsky, MD, Mt. Sinai Health System

Lawrence Tanenbaum, MD, RadNet

Max Wintermark, MD, University of Texas MD Anderson Cancer Center

Vivek Yedavalli, MD, Johns Hopkins Medicine

Most Effective Radiology Educator

Lea Alhilali, MD, Barrow Neurological Institute

Laura Avery, MD, Harvard Medical School

Ryan Avery, MD, Northwestern University

Amir Borhani, Northwestern University

Francis Deng, MD, Johns Hopkins Medicine

Siripuram Naveen Kumar, MD, CAIMS, India

Frank Miller, MD, Northwestern Feinberg University School of Medicine

Elliot Fishman, MD, Johns Hopkins Medicine

Matthew Hartman, MD, Allegheny Health Network

Louise Miller, RT, Mammography Educators

Toma Omofoye, MD, University of Texas MD Anderson Cancer Center

Tharani Putta, MD, AIG Hospitals, India

Charlotte Taylor, MD, University of Mississippi

Robert Thomen, PhD, University of Missouri

Sanjay Yadav, Mysore Medical College and Research Institute, India

Vani Vijayakumar, MD, University of Mississippi

Most Effective Radiologic Sciences Educator

Asher Beam, University of Mississippi

Doug Boyd, RT, Smith Chason College

Daniel DeMaio, RT, University of Hartford

Colleen Dempsey, RT, EdD, Thomas Jefferson University

Cheryl DuBose, EdD, Arkansas State University

Joy Renner, RT, University of North Carolina

Kori Stewart, RT, PhD, Quinnipiac University

Jennifer Thompson, EdD, Austin Peay State University

Most Effective Radiology Administrator/Manager

Dmitry Beyder, CNMT, Barnes-Jewish Hospital

Ashley Darby, University of Mississippi Medical Center

Holly Harper, Northwestern Medicine

Lior Molvin, RT, Duke University

Mario Pistilli, Children’s Hospital Los Angeles

Lisa Ulland, Cincinnati Children’s Medical Center

Cindy Winter, RT, PhD, John Peter Smith Health Network / AHRA Board of Directors

Best Radiologist Training Program

Duke University, Durham, NC

Emory University Hospital, Atlanta, GA

Johns Hopkins University, Baltimore, MD

Massachusetts General Hospital, Boston, MA

Northwestern University, Chicago

NYU Langone, New York, NY

Vanderbilt University, Nashville, TN

University Hospital of Freiburg, Germany

University of California, San Francisco, San Francisco, CA

University of Michigan, Ann Arbor, MI

University of Mississippi, Jackson, MS

University of Pennsylvania, Philadelphia, PA

Best Radiologic Sciences Program

Arkansas State University, Jonesboro, AR

Austin Peay State University, Clarksville, TN

Houston Community College, Houston, TX

Quinnipiac University, Hamden, CT

Thomas Jefferson University, Philadelphia, PA

University of Hartford, Hartford, CT

University of Mississippi, Jackson, MS

University of Pennsylvania, Philadelphia, PA

Most Significant News Event in Radiology

CMS backs reimbursement for CT colonography

CMS lifts beta-amyloid PET scan limit for Alzheimer’s patients

CMS proposes unbundling of diagnostic radiopharmaceuticals

FDA approves donanemab (Kisunla) for the treatment of early Alzheimer's disease

Federal Helium Reserve sale elicits concern over impact on MRI scanners

Global Microsoft outage affects radiology practices

Imaging studies reveal impact of long COVID-19

Increasing attention on sustainability in radiology

Medicare proposed rule cuts radiology reimbursement in 2025

Researchers explore radiology applications for large-language models

New CPT codes for quantitative analysis of brain MRI

New CMS codes for hyperpolarized xenon-129 MRI technology

Ongoing MRI safety problems

Study of Orviglance lung imaging cancer agent reaches primary endpoint in phase III trial

USPSTF finalizes breast cancer screening recommendations

Biggest Threat to Radiology

Increase in imaging volumes

Lower Medicare reimbursement for imaging

Nonradiologists performing more image interpretations

Private equity/corporatization of radiology

Radiologist burnout

Radiologist shortages

Slow adoption rate for AI

Sustainability

Hottest Clinical Procedure

3D printing

7-tesla MRI

11.7-tesla MRI

AI body composition analysis

Cardiac PET

Cryo/thermoablation

CT colonography

Genicular artery embolization

Hyperpolarized xenon-129 MRI

PET/MRI

Photon-counting CT

Radiomics

Theranostics

Whole-body MRI screening

Image of the Year

3D PET/MR image. Image from Martin W. Huellner, MD, of the University of Zurich, et al.

11.7-tesla brain MRI scans. Image from Denis Le Bihan, PhD, of the NeuroSpin research facility, et al.

Dedicated brain PET scanner reveals early brain nuclei activity. Image from Richard Carson, PhD, of Yale University, et al.

AI detects cancer on breast MRI. Image from Fredrik Strand, MD, PhD, of the Karolinska Institute, et al.

Chest CT images reveal smokers at higher risk of emphysema. Image from Jessie Kang, MD, of Dalhousie University.

Deep-learning algorithm distinguishes between benign and malignant vertebral fractures. Image from Sarah Foreman, MD, of Technische Universität München in Germany, et al.

DTI-MRI reveals impact of soccer heading on brain. Image from Molly Charney, MD, of New York-Presbyterian Hospital, et al.

Functional MRI shows brain activity prompted by fanaticism. Image from Francisco Zamorano Mendieta, PhD, of the Universidad San Sebastián in Santiago, Chile

Hypometabolism detected with F-18 FDG-PET in long-COVID patients: putative astrocyte dysfunction and glutamatergic dysregulation. Image from Eric Guedj, MD, PhD, of Marseille University Hospital, et al.

Morphological markers on MRI help diagnose autism. Image from Gregory Barnes, MD, PhD, of the Norton Children's Autism Center, et al.

PET scans reveal a key molecular driver of stress and addiction in people with alcohol use disorder. Image from Terril Verplaetse, PhD, of Yale University, et al.

PET scans predict patient response to Pluvicto. Image from Philip Kuo, MD, PhD, of the City of Hope, et al.

Quantitative MRI shows ties between neck muscle function and common headaches. Image from Nico Sollmann, MD, PhD, of University Hospital Ulm and University Hospital Rechts der Isar,  et al.

SPECT/CT reveals heart’s response to tafamidis. Image from Shilpa Vijayakumar, MD, of Brigham and Women’s Hospital, et al.

Ultrasound model predicts liver disease progression. Image from Fangyi Liu, MD, of the Chinese PLA General Hospital, et al.

Scientific Paper of the Year

Advanced Practice Provider Procedures Commonly Performed in Interventional Radiology: Medicare Volume Trends From 2010 to 2021. Lindquester, et al, Journal of the American College of Radiology, July 1, 2024. To learn more about this paper, click here.

Appropriateness and imaging outcomes of ultrasound, CT, and MR in the emergency department: a retrospective analysis from an urban academic center. Francisco, et al, Emergency Radiology, April 26, 2024. To learn more about this paper, click here.

Assessment of Claimant, Clinical, and Financial Characteristics of Teleradiology Medical Malpractice Cases. Schaffer, et al, Radiology, April 2, 2024. To learn more about this paper, click here.

Brain fog in long COVID: A glutamatergic hypothesis with astrocyte dysfunction accounting for brain PET glucose hypometabolism. Horowitz, et al, Medical Hypotheses, October 13, 2023. To learn more about this paper, click here.

Central Vein Sign in Multiple Sclerosis: A Comparison Study of the Diagnostic Performance of 3T versus 7T MRI. Okromelidze, et al, American Journal of Neuroradiology, January 2024. To learn more about this paper, click here.

Cognitive Motor Dissociation in Disorders of Consciousness. Bodien, et al, New England Journal of Medicine, August 14, 2024. To learn more about this paper, click here.

Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion. Plesner, et al, Radiology, September 26, 2023. To learn more about this paper, click here.

Effects of low-dose ionizing radiation on genomic instability in interventional radiology workers. Kochanova, et al, Scientific Reports, September 19, 2023. To learn more about this paper, click here.

Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department. Huang, et al, JAMA Network Open, October 5, 2023. To learn more about this paper, click here.

Impact of lung cancer screening on stage migration and mortality among the national Veterans Health Administration population with lung cancer. Edwards, et al, Cancer, June 10, 2024. To learn more about this paper, click here.

Increased Metabolic Activity of the Thymus and Lymph Nodes in Pediatric Oncology Patients After Coronavirus Disease 2019 Vaccination. Luthria, et al, Journal of Nuclear Medicine, October 26, 2023. To learn more about this paper, click here.

Multiparametric US for Identifying Metabolic Dysfunction–associated Steatohepatitis: A Prospective Multicenter Study. Liu, et al, Radiology, March 19, 2024. To learn more about this paper, click here.

Neuroimaging and Clinical Findings in Healthy Middle-Aged Adults With Mild Traumatic Brain Injury in the PREVENT Dementia Study. Low, et al, JAMA Network Open, August 15, 2024. To learn more about this paper, click here.

Premenopausal bilateral oophorectomy and brain white matter brain integrity in later-life. Mielke, et al, Alzheimer’s & Dementia, June 20, 2004. To learn more about this paper, click here.

Quantifying Regional Radiation-Induced Lung Injury in Patients Using Hyperpolarized 129Xe Gas Exchange Magnetic Resonance Imaging. Rankine, et al, International Journal of Radiation Oncology, Biology, Physics, September 1, 2023. To learn more about this paper, click here.

Radiologist Workforce Attrition from 2019 to 2024: A National Medicare Analysis. Rosenkrantz, et al, Radiology, July 23, 2024. To learn more about this paper, click here.

Threshold for defining PSMA-positivity prior to 177Lu-PSMA therapy: a comparison of [68Ga]Ga-PSMA-11 and [18F]F-DCFPyL in metastatic prostate cancer. Heilinger, et al, EJNMMI Research, September 22, 2023. To learn more about this paper, click here.

Workplace violence in medical radiation science: A systematic review. Shah, et al, Radiography, January 9, 2024. To learn more about this paper, click here.

Best New Radiology Device

Aperto Lucent 0.4-tesla open MRI system, Fujifilm Healthcare Americas

Aquilion One/Insight Edition CT scanner, Canon Medical Systems

Backpack-sized electromagnetic brain scanner, EMVision

Butterfly iQ3 point-of-care ultrasound scanner, Butterfly Network

DXR Excel-Plus digital radiography and fluoroscopy system, Carestream Health

Mammomat B.brilliant digital mammography system, Siemens Healthineers

MyLab E90 ultrasound scanner

NeuroLF dedicated brain PET imaging system, Postrigo

NeuSight PET/CT 64-slice CT scanner, Positron/Neusoft Medical Systems

Reveal Mobi Pro digital x-ray system, Ka Imaging

Revolution RT radiation therapy CT system, GE HealthCare

SmartFrame OR stereotactic surgical navigation system, ClearPoint Neuro

uMR Jupiter 5-tesla MRI scanner, United Imaging

Zenition 90 Motorized image-guided mobile C-arm, Philips

Best New Radiology Software

AI Manager software, Philips

AngioFlow, RapidAI

Altumira digital x-ray AI software, ContextVision

Augmented reality preoperative surgical planning software, Sira Medical

Brainomix 360 stroke care AI platform, Brainomix

BraveCX chest x-ray AI triage software, Bering

CINA-VCF AI vertebral compression detection software, Avicenna.ai

Cinematic Reality app, Siemens Healthineers

Cleerly CAD Staging System, Cleerly

CT LVAS lung function imaging software, 4D Medical

DeepHealth informatics portfolio, DeepHealth

DL Precise AI Breast Imaging Tool, Barco

End-to-End CT Workflow Automation software, Canon Medical Systems

Exa Connect AI software, Konica Minolta Healthcare Americas

Genius AI Detection 2.0 breast cancer detection software, Hologic

Grace multimodal foundation model for medical imaging, HOPPR

HealthFLD liver attenuation AI software, Nanox.ai

Icobrain Aria amyloid quantification software, Icometrix

Luminary Risk breast cancer screening management software, MagView

MICSI-RMT AI brain MRI enhancement software, Microstructure Imaging

MIM Symphony HDR Prostate software, MIM Software

Mimics Flow Case Management Software for 3D printing, Materialise

Neuromorphic AI chest x-ray AI classifcation software, Zscale Labs

NM-101 brain MRI AI software, Terran Biosciences

Pixyl.Neuro brain MRI AI analysis software, Pixyl

PowerScribe Smart Impression AI dictation tool, Nuance Communication

Prostate Volume Assist prostate ultrasound AI software, GE HealthCare

qCT LN Quant lung nodule analysis software, Qure.ai

Radify AI-assisted chest x-ray triage software, Envisionit Deep AI

RPX AI cloud integration software, Radiology Partners

Rubee AI algorithms, Agfa HealthCare

SonoAssist Voice Assist software, Fujifilm SonoSite

SpotLight deep-learning software, Arineta Cardiac Imaging

Springbok AI muscle analysis software, Springbok Analytics

SubtleSynth MRI software, Subtle Medical

Synapse 7x Enterprise Information System, Fujifilm Healthcare Americas

SyMRI 3D brain MRI AI software, SyntheticMR

TeraRecon Oncology Suite, ConcertAI

uAI Pioneer Portal 3D reconstruction software, United Imaging

Visage Ease VP cinematic rendering software, Visage Imaging

Vuze System intraoperative imaging system for spine surgery, Vuze Medical

Web-based PACS and radiology workflow management software, Carpl.ai

Best New Radiology Vendor

CAIRE Reporting. Learn more about this vendor by clicking here.

EMVision. Learn more about this vendor by clicking here.

Evergreen Theragnostics. Learn more about this vendor by clicking here.

Fresenius Kabi USA. Learn more about this vendor by clicking here.

Heuron. Learn more about this vendor by clicking here.

HOPPR. Learn more about this vendor by clicking here.

MedCognetix. Learn more about this vendor by clicking here.

Microstructure Imaging (MCSI). Learn more about this vendor by clicking here.

NewVue. Learn more about this vendor by clicking here.

Pixyl. Learn more about this vendor by clicking here.

Positrigo. Learn more about this vendor by clicking here.

Quantivly. Learn more about this vendor by clicking here.

Radpair. Learn more about this vendor by clicking here.

Rayscape. Learn more about this vendor by clicking here.

Sonus Microsystems. Learn more about this vendor by clicking here.

Springbok Analytics. Learn more about this vendor by clicking here.

Synthesis Health. Learn more about this vendor by clicking here.

Zscale Labs. Learn more about this vendor by clicking here.

Best Educational Mobile App

CTisus iQuiz, Elliot Fishman, MD, (iOS)

IMAIOS e-Anatomy, IMAIOS (iOS, Android)

iRadTech, Ballinger and Bruckner (iOS, Android)

MRI Made Easy... well almost (iOS)

MSK Radiology 4 U, Philip Abraham (iOS, Android)

Radiology Assistant 2.0, BestApps (iOS)

Radiology Core: Physics Plus, Ca Nguyen (iOS, Android)

Xray Anatomy, Mediware (iOS)

 

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