CT found effective for Dx lung collapse in women
Using high-resolution CT scans to screen for lymphangioleiomyomatosis is cost-effective in women between the ages of 25 and 54 who don’t smoke and come to the emergency room for the first time with a collapsed lung, according to University of Cincinnati researchers.
Using high-resolution CT scans to screen for lymphangioleiomyomatosis is cost-effective in women between the ages of 25 and 54 who don’t smoke and come to the emergency room for the first time with a collapsed lung, according to University of Cincinnati researchers.
About 5% of women who fit the “model patient” profile-a 30-year old, nonsmoking woman who comes into the emergency room with a spontaneous lung collapse-test positive for lymphangioleiomyomatosis (LAM).
Screening for LAM with high-resolution CT is the most cost-effective strategy, with approximately $32,000 per quality-adjusted life year gained, the authors said. With this data, physicians will be able to intervene with therapies more quickly and enroll patients in clinical trials that may be able to slow progression of the disease.
The study will change future guideline recommendations on how to treat patients presenting with pneumothorax, according to Dr. John Heffner, past president of the American Thoracic Society.
The findings have been published online in the American Journal of Respiratory and Critical Care Medicine.
Photon-Counting Computed Tomography: Eleven Takeaways from a New Literature Review
May 27th 2025In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.
