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Chest Radiology
Lung cancer risk persists years after negative CT screening
By
Kate Madden Yee
Study results could shape how individuals at risk of lung cancer are screened.
March 20, 2026
AI boosts lung nodule detection but doesn't reduce interpretation time
By
Kate Madden Yee
The study finding is surprising -- and merits further research.
March 18, 2026
Look for disease distribution features to identify ILD patterns on CT
By
Kate Madden Yee
Tracking disease distribution and dichotomous features on CT helps identify fibrotic interstitial lung disease (ILD) patterns.
March 17, 2026
Physics-based technique improves reproducibility of lung density metrics
By
Kate Madden Yee
Better quantifications of lung density may produce more precise assessments of lung disease severity.
March 12, 2026
Google AI Studio shows potential for AI-based lung cancer detection
By
Kate Madden Yee
The model identified lung malignancies and produced consistent, structured reports, but needs further refinement.
March 11, 2026
DL segmentation of chest muscle volume shows promise for COPD patients
By
Kate Madden Yee
Deep learning (DL)-based muscle volume assessment from routine CT scans could help identify COPD patients with comorbid sarcopenia.
March 5, 2026
Qure.ai secures FDA clearance for chest x-ray CAD software
By
AuntMinnie.com staff writers
Qure.ai has secured clearance from the U.S. FDA for qXR-Detect, a computer-assisted detection (CAD) solution for chest x-rays.
February 27, 2026
Fibrosis pattern on CT predicts CPFE progression rate, but not survival
By
Kate Madden Yee
Although fibrosis patterns help clinicians anticipate CPFE trajectory, treatment decisions should focus on fibrosis extent.
February 24, 2026
'Quadruple low' PCCT protocol improves lung cancer imaging
By
Kate Madden Yee
The findings could translate to better care for patients who require repeated contrast-enhanced imaging.
February 17, 2026
AI-measured myosteatosis from CAC CT scans helps predict future COPD
By
Kate Madden Yee
AI-measured myosteatosis from coronary artery calcium (CAC) CT scans could predict chronic obstructive pulmonary disease (COPD).
January 29, 2026
Radiomics adds value to CT-feature model for predicting pleural invasion
By
Kate Madden Yee
The study results could improve patient care by "optimizing clinical decision-making," researchers noted.
January 28, 2026
Cancer IQ to partner with Azra AI on lung cancer screening
By
AuntMinnie.com staff writers
The companies will support lung cancer screening by aligning risk-based patient identification with low-dose CT follow-up.
January 26, 2026
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![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
