AuntMinnie's Discussion Group on breast imaging.

Dec 3, 2000
This AuntMinnie Discussion Group is designed for members to post comments on topics related to breast imaging.
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Anatomical illustration of knee pain showing muscle and bone structure with red and blue overlay indicating inflammation and blood flow
MRI model reveals how 3D knee shape influences ACL loading
October 30, 2026
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X-ray visualization of human lungs with red highlighted inflammation or abnormality in right lung
Gaps identified in surveillance of incidental lung nodules
October 30, 2026
Professional speaker at podium with SIIM CAIMI26 conference logo during AI research awards presentation
SIIM-CAIMI: Tech just one driver of AI's future in radiology
October 30, 2026
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MRI model reveals how 3D knee shape influences ACL loading
By Amerigo Allegretto
Researchers created digital twins from patients' knees, and women had greater ACL force than men.
October 30, 2026
Anatomical illustration of knee pain showing muscle and bone structure with red and blue overlay indicating inflammation and blood flow
Meet the Minnies 2026 finalists
By Erik L. Ridley
Who made it to the final round of the 2026 edition of the Minnies, AuntMinnie.com's annual event recognizing excellence in radiology? See who our expert panelists selected as the final candidates.
October 30, 2026
Aunt Minnie.com The Best of Radiology Finalist logo featuring cartoon woman in purple diamond frame
Gaps identified in surveillance of incidental lung nodules
By Will Morton
Incidental lung nodules (ILNs) are frequently detected during routine imaging.
October 30, 2026
X-ray visualization of human lungs with red highlighted inflammation or abnormality in right lung
SIIM-CAIMI: Tech just one driver of AI's future in radiology
By Amerigo Allegretto
Nabile Safdar, MD, spoke on how regulatory, financial, and cultural change will drive AI's future in medical imaging.
October 30, 2026
Professional speaker at podium with SIIM CAIMI26 conference logo during AI research awards presentation
Ultrasound MinnieCast, Episode 19: The science behind phantoms
By Amerigo Allegretto
Timothy Hall, PhD, discusses the state of tissue-mimicking materials used for ultrasound phantoms.
October 30, 2026
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Fluciclovine PET detects disease in half of PSMA-negative patients
By Will Morton
The findings support a complementary role for F-18 fluciclovine PET in carefully selected patients.
October 29, 2026
PET-CT scan composite showing axial cross-sections of pelvis with radioactive tracer uptake and anatomical structures
5 institutions command 38% of NIH radiology research funding
By Will Morton
The findings have implications for policy and workforce development.
October 29, 2026
Bar chart showing total clinician NIH funding by university from FY2012 to 2025, with Stanford University leading at $181.9M
MRI, PET reveal distinct brain changes in loneliness and social isolation
By Will Morton
Prior studies frequently have used the terms interchangeably and applied measures designed for one construct when investigating the other.
October 28, 2026
Brain anatomy diagram showing temporal lobe, middle temporal gyrus, putamen, and globus pallidus with labeled cross-sections.
Podcast: Hospital accreditation isn’t a safety net for MRI
By Erik L. Ridley
The Invisible Force podcast series co-hosts Tobias "Toby" Gilk and John Posh continue their investigation into a 2023 MRI accident.
October 28, 2026
The Invisible Force MRI Incident Investigation Podcast cover with confidential marking and presenter badge
SIIM-CAIMI program chairs talk medical imaging AI's evolution
By Amerigo Allegretto
SIIM-CAIMI's program chairs share their thoughts on the increasing use of AI tools such as large language models in practice.
October 28, 2026
SIIM CAIMI 26 logo featuring teal text with turquoise and orange accents
LDCT predicts vertebral fracture risk in heavy smokers
By Will Morton
Participants were heavy smokers aged 55 to 74 years old with at least 30 pack-years of smoking history.
October 27, 2026
Baseline and 1-year follow-up CT and MRI scans of thoracic and lumbar spine with color-coded vertebral segmentation
ChatGPT-5 misses half of distal radius fractures on x-rays
By Will Morton
ChatGPT-5 missed 83 fractures, demonstrating a sensitivity of 51.2% and a specificity of 70.5%, with overall accuracy of 61.6%.
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Four wrist X-ray images showing fracture detection examples: true positive with distal radius fracture, true negative normal wrist, false positive misidentified fracture, and false negative missed fracture.
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