Erik L. Ridley

ISMRM 2025
ISMRM: AI spots ischemic heart disease on low GBCA dose images
An AI-based framework was highly accurate for detecting myocardial ischemia, even on images acquired with 90% less gadolinium.
May 14, 2025
Representative stress perfusion CMR case with 80% contrast dose reduction. Pixel-wise MBF maps and AHA 16-segment bull's eye plots are shown for full-dose and reduced-dose acquisitions. When analyzed using the proposed MST deep learning method, the reduced-dose data closely matches the full-dose data across basal, mid, and apical slices. In contrast, Fermi-deconvolution shows good agreement in apical and mid slices but overestimates MBF in some basal segments, indicating reduced accuracy under low-dose conditions. Image courtesy of the ISMRM.
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Two representative cases demonstrate the performance of PlaqueSegNet for coronary plaque segmentation. (A–D) Coronary CT angiography (CCTA) and intravascular US (IVUS) images in a 65-year-old male patient with chest pain for two months show plaque. (A) Cross-sectional IVUS image shows a lipid-rich plaque (hypoechoic, arrows). (B) Axial and (C) cross-sectional CCTA images show the same plaque (low-attenuation area, yellow line and arrows) in the proximal left anterior descending artery. (D) PlaqueSegNet segmentation of the noncalcified plaque (yellow shading) and coronary lumen (green shading) in the cross-sectional image. (E–G) CCTA images in a 57-year old female patient with chest pain for three months show multiple plaques. (E) Volume-rendered CCTA image of the coronary tree shows PlaqueSegNet plaque segmentation (yellow) in the right and left coronary arteries. (F, G) PlaqueSegNet segmentation delineates a mixed plaque (yellow shading) and coronary lumen (green shading) in the left main artery and proximal-to-mid left anterior descending artery.
CT
AI plus CCTA cuts plaque analysis time, predicts cardiac event risk
A deep-learning model quantifies coronary plaque volume from coronary CT angiography (CCTA) images.
Breast Tomosynthesis Digital 400 (1)
Womens Imaging
DBT availability similar in areas with high, low resource deprivation
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Medicolegal
Podcast: Story just got 'weirder' in Nassau Open MRI fatality
A 65-y-old man with HCC and liver cirrhosis confirmed by MRI. Ga-68 FAPI-46 PET/CT demonstrates increased focal uptake (SUVmax, 13.26, and TBRmax, 2.89) in liver, whereas F-18 FDG-PET/CT scans showed non–F-18 FDG-avid lesion (SUVmax, 3.24, and TBRmax, 1.43), indicated by solid arrows. Additionally, histologically proven adenocarcinoma in colon transversum was identified as pathologic with Ga-68 FAPI-46 alone (dashed arrows).
Molecular Imaging
FAPI-PET superior to FDG-PET in liver cancer
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Womens Imaging
Women face more diagnostic delays after abnormal mammograms
More in Home
AI plus CCTA cuts plaque analysis time, predicts cardiac event risk
By Kate Madden Yee
A deep-learning model quantifies coronary plaque volume from coronary CT angiography (CCTA) images.
April 21, 2026
Two representative cases demonstrate the performance of PlaqueSegNet for coronary plaque segmentation. (A–D) Coronary CT angiography (CCTA) and intravascular US (IVUS) images in a 65-year-old male patient with chest pain for two months show plaque. (A) Cross-sectional IVUS image shows a lipid-rich plaque (hypoechoic, arrows). (B) Axial and (C) cross-sectional CCTA images show the same plaque (low-attenuation area, yellow line and arrows) in the proximal left anterior descending artery. (D) PlaqueSegNet segmentation of the noncalcified plaque (yellow shading) and coronary lumen (green shading) in the cross-sectional image. (E–G) CCTA images in a 57-year old female patient with chest pain for three months show multiple plaques. (E) Volume-rendered CCTA image of the coronary tree shows PlaqueSegNet plaque segmentation (yellow) in the right and left coronary arteries. (F, G) PlaqueSegNet segmentation delineates a mixed plaque (yellow shading) and coronary lumen (green shading) in the left main artery and proximal-to-mid left anterior descending artery.
DBT availability similar in areas with high, low resource deprivation
By Amerigo Allegretto
DBT is offered at similar rates among areas with high and low resource deprivation, and at similar costs.
April 21, 2026
Breast Tomosynthesis Digital 400 (1)
Podcast: Story just got 'weirder' in Nassau Open MRI fatality
By Liz Carey
Episode 8 of The Invisible Force takes a surprising turn.
April 21, 2026
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FAPI-PET superior to FDG-PET in liver cancer
By Will Morton
The finding is from a prospective head-to-head comparison among 59 patients with suspicious lesions.
April 20, 2026
A 65-y-old man with HCC and liver cirrhosis confirmed by MRI. Ga-68 FAPI-46 PET/CT demonstrates increased focal uptake (SUVmax, 13.26, and TBRmax, 2.89) in liver, whereas F-18 FDG-PET/CT scans showed non–F-18 FDG-avid lesion (SUVmax, 3.24, and TBRmax, 1.43), indicated by solid arrows. Additionally, histologically proven adenocarcinoma in colon transversum was identified as pathologic with Ga-68 FAPI-46 alone (dashed arrows).
Women face more diagnostic delays after abnormal mammograms
By Amerigo Allegretto
Since the COVID-19 pandemic, women face more diagnostic delays in having their abnormal screening mammograms evaluated.
April 20, 2026
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Radiologists land on low end of industry research money, study finds
By Liz Carey
Group assessed trends in industry research payments.
April 20, 2026
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U.S. federal research funding varies by cancer type
By Will Morton
Findings indicate that cancers with the highest lethality receive disproportionately lower levels of federal research support.
April 20, 2026
Cancertarget
Brain MRI, PET may predict who gains most from lifestyle interventions
By Kate Madden Yee
Brain MRI, PET could help identify which older adults are most likely to benefit from a structured lifestyle program.
April 20, 2026
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ACR, SBI issue joint criticism toward ACP breast screening guidelines
By Amerigo Allegretto
The ACR and SBI are criticizing new guidelines on breast cancer screening by the American College of Physicians.
April 17, 2026
Woman Chest Pain 400
Judge dismisses Aetna fraud case against Radiology Partners
By Liz Carey
Aetna sought to have the IDR awards vacated.
April 17, 2026
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GPT-4o matches experienced radiologists for follow-up imaging recs
By Kate Madden Yee
The AI model matched the performance of radiologist readers in recommending follow-up imaging from routine radiology reports.
April 17, 2026
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Half of women reject clinician metrics tied to breast screening rates
By Amerigo Allegretto
Half of women oppose clinician metrics from breast screening attendance, and many oppose financial incentives from higher ratings.
April 17, 2026
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