CT

DL model can aid in diagnosing myocardial ischemia

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

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

Cardiac Heart Eeg Social (1)

Most veterans adhere to post-EVAR surveillance imaging

By Amerigo Allegretto

Adherence to surveillance imaging after endovascular abdominal aortic aneurysm repair (EVAR) is high among veterans.

April 24, 2025

Heart Valves 3 D Base Thumbnail

Quantitative CT textures of the lung help assess COPD severity

By Kate Madden Yee

Quantitative CT can capture lung inflammation patterns to assess the severity of chronic obstructive pulmonary disease (COPD).

April 23, 2025

Machine learning standardizes bone tumor grading on MRI, CT

By Kate Madden Yee

An AI algorithm and an updated risk stratification system produce accurate and standardized bone lesion assessment on CT and MRI.

April 22, 2025

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Nonsmokers also benefit from lung cancer screening

By Kate Madden Yee

Lung cancer screening finds disease in nonsmokers at comparable rates as their smoking peers, researchers have reported.

April 21, 2025

Abdominal CT imaging shows potential for diagnosing sarcopenia

By Kate Madden Yee

Abdominal CT imaging shows potential for the opportunistic diagnosis of sarcopenia, enabling radiologists to play a greater role in population health management.

April 18, 2025

Sarcopenia Strips Of Paper

AAPM responds to CT cancer risk study

In response to study results that link CT scans to new cases of cancer, the AAPM argues the benefits of these exams far outweigh the risks.

April 15, 2025

CT images best EHR coding, CT reports for sarcopenic obesity diagnosis

By Kate Madden Yee

CT images best electronic health record (EHR) and CT report data when it comes to diagnosing sarcopenia and sarcopenic obesity.

April 15, 2025

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CT estimated to cause 5% of new cancer cases

Researchers suggest that cancers associated with radiation from CT scans could eventually account for 5% of all new cases annually.

April 14, 2025

CT effective for tracking colon cancer lymph node distribution

By Kate Madden Yee

Using CT to track lymph node distribution in colon cancer patients is more effective at identifying metastasis than conventional testing.

April 8, 2025

Schematic diagrams and representative images of different distribution patterns of region lymph nodes detected at CT. (A) Vascular distribution pattern: All regional lymph nodes detected at CT have regular borders and are distributed along the vessels (arrowheads). (B-E) Coronal CT images in a (B) 34-year-old woman, (C) 51-year-old man, (D) 37-year-old man, and (E) 40-year-old man with microsatellite instability-high (MSI-H) colon cancer show multiple clear lymph nodes distributed along the supplying arteries or draining veins (arrowheads). (F) Jammed cluster pattern: At least three lymph nodes with blurred margins and clustered (circle). (G-I) Coronal CT images in a (G) 29-year-old man, (H) 35-year-old man, and (I) 67-year-old man and (J) axial CT image in a 43-year-old man with MSI-H colon cancer show several lymph nodes with blurred margins and clustered (circle). Movies 1-4 provide more details. (K) Fused pattern: Several poorly defined lymph nodes clustered and fused together (arrow). (L-O) Coronal CT images in a (L) 63-year-old woman, (M) 59-year-old man, (N) 49-year-old woman, and (O) 73-year-old man with MSI-H colon cancers show several lymph nodes fused (arrow). Image courtesy of Radiology.

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