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Paul Davis

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A visual abstract of the study.
SNMMI 2026
SNMMI: Machine learning model predicts RPT dose
Dosimetry plays a central role in optimizing lutetium-177 (Lu-177) PSMA therapy, yet calculating it currently depends on post-therapy imaging.
Asco Thumb
Breast
ASCO: Surveillance MRI boosts breast cancer detection for Black women
Kiara Schmidt of Froedtert Health presented a study May 30 at the SNMMI annual meeting.
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SNMMI: Text confirmations cut PET/CT cancellations by 73.5%
Mead Thumbnail
SNMMI 2026
SNMMI: Vaccination misreporting puts FDG PET cancer reads at risk
The Wedding Was Easy. The Marriage Is the Work.
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The Wedding Was Easy. The Marriage Is the Work.
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AIUM: Ultrasound helps find nanoplastics in endometrial polyps
By Amerigo Allegretto
Research presented at AIUM shows how ultrasound helps measure nanoplastic retention in endometrial polyps.
May 29, 2026
Hailie Ciomperlik, MD, from Baylor University presents her team's results at AIUM 2026, showing how a multimodal approach featuring ultrasound shows nanoplastic retention within endometrial polyps.
Ultrasound MinnieCast, Episode 9: Training updates in CEUS
By Amerigo Allegretto
Maria Stanczak from ICUS shares her thoughts on recently proposed educational standards for CEUS training.
May 29, 2026
Minnie Cast Thumbnail (8)
Amyloid PET positivity rates differ by ethnoracial group
By Will Morton
Odds of amyloid positivity were 28% lower among Black people and 22% lower among Hispanic people.
May 28, 2026
Brain Puzzle Stars Social
Legislation and regulations that could affect radiology practices
By Sandy Coffta
In a new column, Sandy Coffta of Healthcare Administrative Partners assesses the potential impact of proposed legislation and regulations.
May 28, 2026
Sandy Coffta Headshot 2026 Thumb
AIUM: AI has evolving role in ultrasound
By Amerigo Allegretto
Dr. Alison Noble gave a keynote speech at AIUM 2026, showing ways that AI approaches are improving ultrasound scanning and workloads.
May 28, 2026
Alison Noble, PhD, from the University of Oxford shares work that she and colleagues have been working on toward AI in ultrasound at AIUM 2026.
AIUM: Attitudes on POCUS use in pediatric ICUs vary among departments
By Amerigo Allegretto
POCUS is widely used in pediatric ICUs, but attitudes vary on how it should be used and how training is performed.
May 28, 2026
Kortney Weeks, MD, presents findings at AIUM 2026 showing how pediatric critical care programs use POCUS.
AI-powered MRI technique maps brain fluid flow tied to Alzheimer's
By Kate Madden Yee
A physics-informed AI framework reveals 3D fluid velocity pathways across the entire living brain using standard MRI data.
May 27, 2026
A 3D visualization shows the flow speed of fluid across the brain.
Fat deposits found on pre-pandemic CT exams predict COVID-19 severity
By Kate Madden Yee
Adipose tissue measured on CT scans taken years before the COVID-19 pandemic predicted hospitalization and death from SARS-CoV-2.
May 27, 2026
Fat Tissue
SNMMI annual meeting puts science in the spotlight
By Will Morton
"Science is the Star" is the theme of the Society of Nuclear Medicine and Molecular Imaging (SNMMI) annual meeting in Los Angeles this year.
May 27, 2026
Urbain
CEUS shows promise in patients with Fontan-associated liver disease
By Will Morton
The prospective study is the first to describe CEUS findings for hepatic nodules arising in Fontan-associated liver disease.
May 26, 2026
A visual abstract of the study.
Study highlights overconfidence in medical decision-making
By Liz Carey
Researchers expose metacognitive commonalities and differences between experienced radiologists and nonradiologists.
May 26, 2026
Bar graphs show mean success (blue) and confidence (orange) according to diagnostic response (lesion present or absent, shown as “present” and “absent,” respectively) and next-step decision (submit, additional tests, and consult a senior) for each group (radiologists and nonradiologists). Error bars indicate standard errors of the mean. Lesion-absent diagnoses were more prone to error and overconfidence than were lesion-present diagnoses.
CT collateral status may predict outcomes in stroke patients
By Will Morton
The findings have implications for future research to determine which stroke patients with medium-vessel occlusion benefit from EVT.
May 26, 2026
Exemplary cases from the ESCAPE-MeVO trial illustrating good, moderate, and poor collateral status at baseline multiphase CT angiography (CTA). (A) Sagittal image shows a left anterior middle cerebral artery medium-vessel occlusion (MeVO) with a calcified thrombus (arrow). (B–D) Axial images show the (B) arterial, (C) peak venous, and (D) delayed venous phases of the baseline multiphase CTA examination. The affected brain parenchyma is highlighted by the dashed outline. The collateral status is good, with early filling of more than 50% of the leptomeningeal collaterals compared with the contralateral side in the arterial phase (B), and there is no delayed washout in the peak venous (C) or delayed venous phase (D). (E) Sagittal image shows a left anterior middle cerebral artery MeVO (arrow). (F–H) Axial images show the (F) arterial, (G) peak venous, and (H) delayed venous phases of the baseline multiphase CTA examination. The affected brain parenchyma is highlighted by the dashed outline. The collateral status is moderate (more than 25% but less than 50% filling of the leptomeningeal collaterals in the affected territory compared with the contralateral side) on the arterial (F) and peak venous (G) phase, and there is delayed washout in the late venous phase (H). (I) Sagittal image shows a posterior dominant middle cerebral artery MeVO (arrow). (J–L) Axial images show the (J) arterial, (K) peak venous, and (L) delayed venous phases of the baseline multiphase CTA examination. The affected brain parenchyma is highlighted by the dashed outline. The collateral status is poor, with almost no collateral filling.
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