Trending in Radiology: Only the Smart Survive

Oct 31st, 2014
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A visual abstract of the study.
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AI-powered MRI technique maps brain fluid flow tied to Alzheimer's
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A physics-informed AI framework reveals 3D fluid velocity pathways across the entire living brain using standard MRI data.
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A 3D visualization shows the flow speed of fluid across the brain.
Fat deposits found on pre-pandemic CT exams predict COVID-19 severity
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Adipose tissue measured on CT scans taken years before the COVID-19 pandemic predicted hospitalization and death from SARS-CoV-2.
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SNMMI annual meeting puts science in the spotlight
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"Science is the Star" is the theme of the Society of Nuclear Medicine and Molecular Imaging (SNMMI) annual meeting in Los Angeles this year.
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The prospective study is the first to describe CEUS findings for hepatic nodules arising in Fontan-associated liver disease.
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A visual abstract of the study.
Study highlights overconfidence in medical decision-making
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Researchers expose metacognitive commonalities and differences between experienced radiologists and nonradiologists.
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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.
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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.
AI diagnostic aid helps novice MRI readers, but experts not so much
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The findings point to where AI decision support delivers the most clinical value.
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AIUM president David Jones, MD, previews the institute's annual meeting in Philadelphia.
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David Jones, MD, AIUM president
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Elevated FDG uptake was consistently associated with poorer overall survival.
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A graphical abstract of the study.
Multimodal brain health composites outperform standard AD biomarkers
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"Reproducible, multimodal composites can capture distinct yet complementary dimensions of brain health," researchers noted.
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CEM showed higher sensitivity than low-energy imaging in diagnosing DCIS by pathological nuclear grading.
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Katja Pinker, MD, PhD, discusses the current state of breast MRI and her time at ISMRM 2026.
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