CT

Is more reliance on advanced imaging leading to higher workloads?
By Amerigo Allegretto
The increased use of advanced imaging exams may be tied to increased radiology workloads, and the COVID-19 pandemic may have played a part.
May 19, 2025
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National coverage begins for CT colonography
By Sandy Coffta
In a new column, Sandy Coffta of Healthcare Administrative Partners shares how to get Medicare reimbursement for CT colonography.
May 19, 2025
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Clinical demand drives innovation in CT equipment market
By Sarah-Jane James
Clinical needs are playing a growing role in hardware advances, writes analyst Sarah-Jane James.
May 16, 2025
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GE HealthCare launches CleaRecon DL system
By AuntMinnie.com staff writers
GE HealthCare has launched its deep learning (DL)-enabled CleaRecon DL for conebeam CT imaging.
May 15, 2025
Images compare CBCT liver images with and without the CleaRecon DL system.
AI-assisted chest CT can measure ALS respiratory function
By Maryam Payne
Deep learning-assisted chest CT can be used to assess respiratory function in patients with amyotrophic lateral sclerosis (ALS).
May 14, 2025
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ISMRM: Contrast-free MR angiography comparable to CT for PE detection
By Liz Carey
University of Michigan researchers investigate detectability of pulmonary embolism by noncontrast MR angiography at 0.55 tesla.
May 10, 2025
Axial (A) and Coronal (B) CTPA show multiple partial intraluminal filling defects along the course of the right middle lobar segmental branches (medial segment) (yellow arrow) and lower lobar and postero-medial segmental branches (green arrow). Note the low-signal filling defects on the axial and coronal 0.55T MRI sequence.
Imaging findings of Marfan syndrome: What radiologists need to know
By Sanjeev Bhalla, MD, and Mensur Koso, MD
Radiologists play a crucial role in the care of patients with Marfan syndrome, a systemic connective tissue disorder.
May 9, 2025
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CT muscle metrics could help screen for sarcopenia
By Kate Madden Yee
Abdominal CT muscle metrics taken from imaging of healthy young people show promise for opportunistic sarcopenia screening.
May 8, 2025
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ARRS: The state of lung imaging
By Kate Madden Yee
There are a number of options for lung nodule imaging, and which to use depends on the patient.
May 1, 2025
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DL model can aid in diagnosing myocardial ischemia
By Will Morton
A deep-learning (DL) model can automatically measure myocardial blood flow on CT scans to help diagnose myocardial ischemia.
April 29, 2025
Representative images from diagnostic analysis of deep learning (DL)-based CT myocardial perfusion imaging (MPI). (A-D) Representative images in a 51-year-old woman with stable angina at presentation. (A) Curved planar reformation and (B) three-dimensional maximum intensity projection images show severe stenosis of the opening left anterior descending artery (arrow). (C) Fractional flow reserve (FFR) determined with invasive coronary angiography helps confirm that there was no hemodynamic significance of the opening left anterior descending artery lesion (arrow). (D) Dynamic CT MPI provided functional information to identify hemodynamically significant stenosis with reference to invasive FFR. Myocardial blood flow (MBF) derived from DL-based CT MPI revealed the absence of decreased myocardial perfusion of the left anterior descending artery territory (the areas outlined in black represent the myocardium subtended by the left anterior descending stenosis, and the color bar is a graphical scale that maps MBF ranges). (E-H) Representative images in a 62-year-old man with exertional chest pain at presentation. (E) Curved planar reformation and (F) three-dimensional maximum intensity projection images show moderate stenosis of the middle left anterior descending artery (arrow). (G) FFR determined at invasive coronary angiography helps confirm that the middle left anterior descending lesion was hemodynamically significant (arrow). (H) Dynamic CT MPI provided functional information to identify hemodynamically significant stenosis with reference to invasive FFR. DL-based CT MPI showed a reduction in MBF within the middle and basal anterior wall of the left anterior descending artery territory (the areas outlined in black represent the myocardium with decreased perfusion, and the color bar is a graphical scale that maps MBF ranges). MBFDL = MBF derived from the DL model.
ARRS: Radiologists can help PCPs boost lung cancer screening rates
By Kate Madden Yee
Radiologists can help boost lung cancer screening uptake by educating and supporting their primary care provider peers (PCP).
April 29, 2025
Lung Cancer
ScImage and Echo IQ partner to enhance cardiac imaging workflows
By AuntMinnie.com staff writers
ScImage has integrated EchoSolv AS into its cloud-native Picom365 platform for cardiology.
April 25, 2025
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