August 28, 2019 -- Below is a list of the candidates for the 2019 edition of the Minnies, AuntMinnie.com's campaign to recognize the best and brightest in medical imaging. This year's campaign includes over 200 candidates in 14 categories, ranging from Most Influential Radiology Researcher to Best Radiology Mobile App.

To vote in our Best Radiology Image category, visit our Facebook page.

Minnies winners will be selected by our expert panel in two rounds of voting. The finalists will be announced in late September, with the final winners announced in October.

Minnies semifinalist logo

Most Influential Radiology Researcher
Dr. Gregory Albers, Stanford University
Dr. Stephan Anderson, Boston Medical Center
John Boone, PhD, University of California, Davis
Summer Decker, PhD, University of South Florida
Dr. Stamatia Destounis, Elizabeth Wende Breast Care
Dr. J. Paul Finn, University of California, Los Angeles
Dr. Michael Knopp, PhD, Ohio State University
Dr. Marc S. Levine, University of Pennsylvania
Dr. Savvas Nicolaou, University of British Columbia
Dr. Bhavika Patel, Mayo Clinic Arizona
Dr. Michael Recht, NYU Langone Health
Kathleen Schmainda, PhD, Medical College of Wisconsin
Dr. Barry Siegel, Washington University School of Medicine
Ragini Verma, PhD, University of Pennsylvania
Dr. Stephan Voss, PhD, Boston Children's Hospital
Dr. Steven Wolff, PhD, Carnegie Hill Radiology

Most Effective Radiology Educator
Dr. Jenny Bencardino, University of Pennsylvania
Dr. Sanjeev Bhalla, Mallinckrodt Institute of Radiology
Dr. Michael Callahan, Boston Children's Hospital
Dr. Soonmee Cha, University of California, San Francisco
Dr. Carl Fuhrman, University of Pittsburgh
Dr. Wende Gibbs, University of Southern California
Dr. Darel Heitkamp, Adventist Health System
Danny Hughes, PhD, American College of Radiology
Dr. Emanuel Kanal, University of Pittsburgh
Dr. Faisal Khosa, University of British Columbia
Dr. Petra Lewis, Dartmouth College
Dr. Frank Lexa, Radiology Leadership Institute
Dr. William Masch, University of Michigan
Dr. Christine Menias, Mayo Clinic Arizona
Dr. Tan-Lucien Mohammed, University of Florida
Dr. Gregory Nicola, Hackensack Radiology Group
Dr. Ryan Peterson, Emory University
Dr. Neil Rofsky, University of Texas Southwestern
Dr. Sumer Sethi, Delhi Academy of Medical Sciences
Dr. Scott A. Simpson, University of Pennsylvania
Dr. Zhonghua Sun, PhD, Curtin University
Dr. Scott Williams, Advanced Radiology Consultants
Dr. Sanjay Yadav, Mysore Medical College and Research Institute
Dr. Mary Yamashita, University of Southern California

Most Effective Radiologic Technologist Educator
Jeff Berry, University of Oklahoma
Luke Bideaux, Vega Imaging Informatics
Issack Boru, University of North Carolina at Chapel Hill
Dean Brake, St. Louis Community College
Colleen Dempsey, Thomas Jefferson University
Tobias Gilk, Gilk Radiology Consultants
Kristan Harrington, William Faulkner & Associates
Chris Kokkinos, Society for MR Radiographers & Technologists
Caren Levine, University of Pennsylvania
Melissa Smith, Forsyth Technical Community College
Kori Stewart, University of Hartford
Rebecca Troyer, Florida Southern College
Cheryl Turner, Rad-Cast
Tammy Webster, PhD, University of Nebraska

Most Effective Radiology Administrator/Manager
Angelic Bush, University of Texas Medical Branch at Galveston
Ernesto Cerdena, AtlantiCare Regional Medical Center
Missy Curtis, University of South Alabama
Linda DeRenzis, Einstein Medical Center
Jason Dodgion, Columbus Radiology
Greg Hill, Emory University
Ron Jones, St. Luke's Magic Valley
Joe Klaers, CentraCare Health
Diego Roldan, Houston Medical Imaging
Marjory Savino, Montefiore Medical Center
Wendy Stirnkorb, Regional West Medical Center
Chris Tollefson, Mayo Clinic Arizona

Best Radiologist Training Program
Albert Einstein Healthcare Network, Philadelphia, PA
Boston University, Boston, MA
Brigham and Women's Hospital, Boston, MA
Brown University, Providence, RI
Case Western Reserve University, Cleveland, OH
Cleveland Clinic Foundation, Cleveland, OH
Duke University, Durham, NC
Emory University, Atlanta, GA
Indiana University, Indianapolis, IN
Johns Hopkins University, Baltimore, MD
Mallinckrodt Institute of Radiology, St. Louis, MO
Massachusetts General Hospital, Boston, MA
Mayo Clinic, Rochester, MN
Mayo Clinic, Scottsdale, AZ
Medical University of South Carolina, Charleston, SC
New York University, New York, NY
NewYork-Presbyterian Hospital/Weill Cornell Radiology, New York, NY
Northwestern University, Chicago, IL
Stanford University, Stanford, CA
Thomas Jefferson University, Philadelphia, PA
University of California, Los Angeles, Los Angeles, CA
University of California, San Diego, San Diego, CA
University of California, San Francisco, San Francisco, CA
University of Chicago, Chicago, IL
University of Florida, Gainesville, FL
University of Maryland, Baltimore, MD
University of Michigan, Ann Arbor, MI
University of Pennsylvania, Philadelphia, PA
University of Pittsburgh, Pittsburgh, PA
University of South Florida, Tampa, FL
University of Virginia, Charlottesville, VA
University of Washington, Seattle, WA
University of Wisconsin-Madison, Madison, WI
Wake Forest University, Winston-Salem, NC
Yale University, New Haven, CT

Best Radiologic Technologist Training Program
Arkansas State University, Jonesboro, AR
City College of San Francisco, San Francisco, CA
Emory University, Atlanta, GA
Forsyth Technical Community College, Winston-Salem, NC
Indiana University, Indianapolis, IN
Johns Hopkins University, Baltimore, MD
St. Louis Community College, St. Louis, MO
Thomas Jefferson University, Philadelphia, PA
University of Hartford, West Hartford, CT
University of Mississippi, Jackson, MS
University of South Alabama, Mobile, AL
Weber State University, Ogden, UT

Most Significant News Event in Radiology
Apple iPhones go dead at MRI centers
Closure of Hahnemann University Hospital radiology residency program
Core Exam "fail" rate rises to highest level in seven years
Debate continues over safety of gadolinium MRI contrast
Deep learning-based reconstruction of CT scans
Efforts advance to develop alternative sources of molybdenum-99
European NELSON study shows CT lung screening reduces cancer mortality
Growth of artificial intelligence and machine learning in radiology
New position statement on patient shielding issued by American Association of Physicists in Medicine
U.S. Food and Drug Administration issues new MRI safety proposals

Biggest Threat to Radiology
Burden of maintenance of certification (MOC) on radiologists
Commoditization of radiology services
Competition to local practices from teleradiology and national radiology groups
Continuing debate on the value of breast screening
Corporate takeovers of independent radiology practices
Decline in Medicare and third-party reimbursement rates
Encroachment of advanced practice staff on radiologist tasks
Increased use of medical imaging by physicians in other specialties (turf battles)
Misunderstood patient knowledge of gadolinium
Physician burnout
Unwillingness of radiologists to change the way they practice
Use of artificial intelligence to interpret medical images

Hottest Clinical Procedure
3D printing of internal anatomical structures
Augmented reality-assisted interventional procedures
Cinematic rendering of medical images
Coronary CT angiography
CT lung cancer screening
Digital breast tomosynthesis
Dual-energy CT
Functional MRI
MR-guided prostate ablation
PET with Ga-68 PSMA-11 radiopharmaceutical
PET/MRI
Synthesized 2D mammography

Scientific Paper of the Year
68Ga-FAPI PET/CT: Tracer uptake in 28 different kinds of cancer. Kratochwil C et al, Journal of Nuclear Medicine, June 2019. To learn more about this paper, click here.

Association of peritumoral radiomics with tumor biology and pathologic response to preoperative targeted therapy for HER2 (ERBB2)-positive breast cancer. Braman N et al, JAMA Network Open, April 5, 2019.

Can we optimise the recall rate and reduce overdiagnosis? An analysis of 11.3 million screening tests from the English NHS breast cancer screening programme. Blanks RG et al, European Congress of Radiology, March 2019. To learn more about this paper, click here.

Diagnostic accuracy of 68Ga-PSMA-11 PET/MRI compared with multiparametric MRI in the detection of prostate cancer. Hicks RM, Radiology, December 2018. To learn more about this paper, click here.

Gender differences among academic pediatric radiology faculty in the United States and Canada. Counter WB et al, Academic Radiology, July 19, 2019.

Influence of artificial intelligence on Canadian medical students' preference for radiology specialty: A national survey study. Gong B, Academic Radiology, April 2019. To learn more about this paper, click here.

Moving toward a consensus DSC-MRI protocol: Validation of a low-flip angle single-dose option as a reference standard for brain tumors. Schmainda KM et al, American Journal of Neuroradiology, April 2019.

NELSON study shows CT screening for nodule volume management reduces lung cancer mortality by 26% in men. De Koning HJ et al, World Conference on Lung Cancer, September 2018. To learn more about this paper, click here.

Neuroimaging cannabis effects on the brain with an emphasis on vulnerable populations. Mackey S et al, Society for MR Radiographers & Technologists (SMRT) meeting, May 2019. To learn more about this paper, click here.

Neuroimaging findings in U.S. government personnel with possible exposure to directional phenomena in Havana, Cuba. Verma R, Journal of the American Medical Association, July 23, 2019. To learn more about this paper, click here.

Optimization of MRI turnaround times through the use of dockable tables and innovative architectural design strategies. Recht MP, American Journal of Roentgenology, April 2019. To learn more about this paper, click here.

Optimizing inpatient body MRI utilization: A granular look at trends, quality, yield, and timing. Beker K, American Journal of Roentgenology, December 2018. To learn more about this paper, click here.

Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas. Beig N et al, Radiology, March 2019.

Preferential disruption of auditory word representations in primary progressive aphasia with the neuropathology of FTLD-TDP type A. Mesulam MM, Cognitive and Behavioral Neurology, March 2019. To learn more about this paper, click here.

Sociodemographic variation in the use of conservative therapy before MRI of the lumbar spine for low back pain in the era of public reporting. Lind KE et al, Journal of the American College of Radiology, April 2019. To learn more about this paper, click here.

Best New Radiology Device
Acuson Sequoia ultrasound scanner, Siemens Healthineers
Adaptive imaging receive (AIR) flexible MRI radiofrequency coils, GE Healthcare
Alphenix interventional angiography system, Canon Medical Systems
Aspire Cristalle tomosynthesis biopsy device, Fujifilm Medical Systems USA
DR 800 digital radiography system with tomosynthesis, Agfa HealthCare
DRX Plus 2530C small-format digital radiography detector, Carestream Health
Dynamic Digital Radiography (DDR) system, Konica Minolta Healthcare Americas
Elekta Unity MR radiation therapy system, Elekta
Evry dedicated head MRI scanner, Synaptive Medical
FluoroSpeed X1 radiography/fluoroscopy system, Shimadzu
Incisive CT scanner, Philips Healthcare
iQuia digital radiography system, Samsung
MyLab X5 ultrasound scanner, Esaote
QT Ultrasound dedicated breast ultrasound scanner, QT Ultrasound
Ruby rubidium elution system, Jubilant DraxImage
Scenaria View 64/128-slice CT scanner, Hitachi Healthcare Americas
Trident HD specimen radiography system, Hologic
uExplorer total-body PET/CT scanner, United Imaging

Best New Radiology Software
Accipio intracranial hemorrhage (ICH) artificial intelligence software, MaxQ AI
Advanced Intelligent Clear-IQ Engine (AiCE) image reconstruction, Canon Medical Systems USA
Aidoc algorithm for detection of pulmonary embolism, Aidoc
AI-LAB software, American College of Radiology
Chest X-Ray Classification AI-Tool, Quibim
Clara AI artificial intelligence toolkit, Nvidia
cmTriage artificial intelligence software for screening mammography, CureMetrix
Edison artificial intelligence software, GE Healthcare
HealthICH artificial intelligence algorithm, Zebra Medical Vision
iCode TCE teaching and clinical trial file export software, Rosenfield
ImageNext enterprise workflow software, Hyland Healthcare
Infinitt PACS 7.0 software, Infinitt North America
iSchemaView Rapid neuroimaging software, iSchemaView
LVivo EF software for ejection fraction calculation, DiA Imaging Analysis
Magnetic Resonance for Calculating Attenuation (MRCAT) pelvis software, Philips Healthcare
Mia artificial intelligence software for breast cancer screening, Kheiron Medical Technologies
MRCP+ biliary visualization software, Perspectum Diagnostics
MyoStrain cardiac MRI software, Myocardial Solutions
Northstar AI Results Explorer software, TeraRecon
PowerScribe One radiology reporting software, Nuance Communications
ProFound AI artificial intelligence software for breast cancer screening, iCAD
Quantib Neurodegenerative artificial intelligence software, Quantib
rScriptor radiology reporting software, Scriptor Software
SurgicalAR augmented reality surgical software, Medivis
Synapse Cardiology image management software, Fujifilm Medical Systems USA
syngo Virtual Cockpit remote connectivity software, Siemens Healthineers
Unifi EQUIP mammography compliance software, Hologic/MagView
VolparaLive mammography decision support software, Volpara

Best New Radiology Vendor
CureMetrix
Exo Imaging
ImExHs
Koios Medical
Qlarity Imaging
QT Ultrasound
RefleXion Medical
Synaptive Medical
United Imaging Healthcare

Best Educational Mobile App
CTisus iPearls, Dr. Elliot Fishman (iOS)
iRad Xrays, iCat Solutions (iOS)
iRadTech, RadTech Resource Group (iOS, Android)
MagnetVision, Dr. Emanuel Kanal (iOS)
MSK Radiology 4 U, Reubro International (iOS, Android)
Radiology Assistant 2.0, BestApps (iOS)
Radiology Measurements, Xaktis (iOS, Android)
Radiology Rounds, Neuroglia Health (iOS, Android)
Rads Consult (web app)
Sublux, Core Medical Apps (iOS, Android)


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