Publications by authors named "D Yankelevitz"
Lung cancer is the leading cause of cancer deaths globally. In various trials, the ability of low-dose CT screening to diagnose early lung cancers leads to high cure rates. It is widely accepted that the potential benefits of low-dose CT screening for lung cancer outweigh the harms.
View Article and Find Full Text PDFBackground Angiolymphatic invasion (ALI) is an important prognostic indicator in non-small cell lung cancer (NSCLC). However, few studies focus on radiologic features for predicting ALI in patients with early-stage NSCLCs 30 mm or smaller. Purpose To identify radiologic features for predicting ALI in NSCLCs 30 mm or smaller in maximum diameter.
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Article Synopsis
- AI-CAC automated left atrial volumetry offers more actionable insights compared to traditional methods like the Agatston coronary artery calcium score, predicting atrial fibrillation (AF) as early as one year.
- The study evaluated the effectiveness of AI-CAC against human-measured left atrial volumes using cardiac magnetic resonance imaging (CMRI) in predicting AF and stroke, alongside established risk scores and biomarkers.
- Results showed that AI-CAC and CMRI provided similar predictive capabilities for AF and stroke over a 15-year period, indicating potential for AI-CAC in clinical settings, but further research is needed to confirm its utility.