Cardiac Imaging

SCCT: Saurabh Jha on what trainees can expect starting out in cardiac CT
By Liz Carey
Within the broad category of cardiac imaging, coronary CT is poised for expansion, according to Saurabh Jha, MD.
July 21, 2025
Jha Saurabh Thumbnail
SCCT: AI-driven CAC grading significantly cuts scoring time
By Liz Carey
AI-driven CAC grading accurately categorized 79% of patients into the same risk group as radiologist readers in a recent study.
July 19, 2025
Heart Plaque
Video: Incoming SCCT president discusses CT's environmental impact
By Kate Madden Yee
Incoming SCCT President Kavitha Chinnaiyan, MD, spoke to AuntMinnie about the environmental impact of CT and fostering women-led cardiovascular health research.
July 18, 2025
Incoming SCCT President Kavitha Chinnaiyan, MD.
AI algorithm identifies patients at risk of sudden cardiac arrest
By Kate Madden Yee
An AI algorithm used with MRI data can predict which patients are at risk of sudden cardiac arrest, researchers have reported.
July 2, 2025
Chest Heart Pain
Consensus guidance published on cardiac CT for prosthetic heart valves
By Maryam Payne
Experts have published a consensus guidance document on the use of cardiac CT for prosthetic heart valve assessment.
June 17, 2025
Heart Pulmonary Trunk
ISMRM: 4D MRI reveals heart impairments in patients with COPD
By Will Morton
Research presented at ISMRM 2025 highlighted how 4D flow MRI reveals cardiopulmonary hemodynamic interaction in patients with COPD.
May 12, 2025
Examples of hemodynamic parameter maps superimposed on their corresponding anatomic data for two participants. Participant A represents an example of good flow with lower right ventricle stasis, increased right atrium kinetic energy, and increased mean velocity when compared to the sample’s average calculations. Opposite findings are highlighted by the visualizations of participant B representing an example of poor flow.
Cleerly, Cardiac Care Alliance partner on cardiac assessment
By AuntMinnie.com staff writers
Cleerly and Cardiac Care Alliance will collaborate on offering Cleerly's coronary artery disease assessment technology.
May 6, 2025
Cardiac Heart Eeg
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.
Terumo expands partnership with Medis Medical Imaging
By AuntMinnie.com staff writers
Terumois collaborating with Medis Medical Imaging to offer hospitals in the U.S. access to Medis QFR 3.0 for cath lab workflow.
April 18, 2025
Heart Glowing Red 400
CPT codes approved for AI-assisted cardiac risk assessment
By AuntMinnie.com staff writers
The American Medical Association has approved two new Category III CPT codes for AI-assisted cardiac risk analysis.
April 8, 2025
Heart Glowing Red 400
Thoracic aortic calcification data could help predict CAC risk
By Kate Madden Yee
Adding thoracic aortic calcification data to coronary artery calcification (CAC) models shows promise as a risk prediction biomarker for CAC in asymptomatic patients undergoing chest CT.
March 27, 2025
Representative examples of visual TAC categories, assessed on chest CT in asymptomatic individuals undergoing general health screening (blue indicates segmented TAC at level of aortic arch). Axial (A) and sagittal volume-rendered (B) images in 42-year-old patient. AI-based quantification yielded TAC volume of 101 mm3 and TAC Agatston score of 105. Examination was assessed as showing visually mild TAC. Axial (C) and sagittal volume-rendered (D) images in 57-year-old patient. AI-based quantification yielded TAC volume of 834 mm3 and TAC Agatston score of 993. Examination was assessed as showing visually moderate TAC. Axial (E) and sagittal volume-rendered (F) images in 65-year-old patient. AI-based quantification yielded TAC volume of 4872 mm3 and TAC Agatston score of 5848. Examination was assessed as showing visually severe TAC. Images and caption courtesy of the AJR.
Exo launches SweepAI for cardiac, lung ultrasounds
By AuntMinnie.com staff writers
Exo has launched SweepAI for cardiac and lung scanning on its Exo Iris ultrasound device.
September 24, 2024
Ultrasound Portable 400
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