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- Molecular Imaging
- CT
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FDA Clears AI-Powered CT Assessment Tool for Lung Fibrosis
For patients with suspected interstitial lung disease, the digital biomarker solution Fibresolve offers machine learning capability of diagnosing idiopathic pulmonary fibrosis (IPF) based on assessment of lung computed tomography (CT) scans.
While the diagnosis of lung fibrosis currently may not occur up to two and a half years after initial symptoms, the Food and Drug Administration (FDA) has granted De Novo clearance to Fibresolve, an emerging artificial intelligence (AI)-enabled software that may facilitate earlier diagnosis and timely treatment.
Utilizing machine learning pattern recognition to assess lung computed tomography (CT) scans, Fibresolve may facilitate the diagnosis of lung fibrosis and possibly idiopathic pulmonary fibrosis (IPF), according to Imvaria, the developer of Fibresolve. The company added that Fibresolve can provide subtype classification in cases involving suspected interstitial lung disease (ILD).
The capability of Fibresolve to provide adjunctive qualitative classification of CT imaging findings previously garnered Breakthrough Device Designation from the FDA. Imvaria noted the software also has established CPT billing codes.
“Fibresolve serves as an adjunct to clinicians in assessing patients with suspected lung fibrosis to provide a diagnostic subtype classification, potentially facilitating proper treatments at an earlier stage of the disease process,” said Joshua Reicher, M.D., co-founder and CEO of Imvaria. “The FDA’s authorization of Fibresolve marks a significant milestone, not only for lung fibrosis patients, but also for the advancement of AI-based healthcare technologies.”
New CT Angiography Study Shows Impact of COVID-19 on Coronary Inflammation and Plaque
February 5th 2025Prior COVID-19 infection was associated with a 28 percent higher progression of total percent atheroma volume (PAV) annually and over a 5 percent higher incidence of high-risk plaque in patients with coronary artery lesions, according to CCTA findings from a new study.
What Emerging CT Research Reveals About Obesity and Post-Op Survival for Non-Small Cell Lung Cancer
January 29th 2025For those without low skeletal muscle mass on CT and myosteatosis, obese patients have a 23 percent lower risk of death than non-obese patients after undergoing curative resection for non-small cell lung cancer, according to newly published research.
