Publications by authors named "C I Henschke"
Background 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.
View Article and Find Full Text PDFArticle 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.
There have been enormous advances in the approach to assessing malignancy status of indeterminate pulmonary nodules including risk models, image based biomarkers and numerous types of biologic and molecular markers. All of these have the advantage of guiding further workup once the nodule is identified. The traditional method, especially for smaller nodules relies primarily on assessing whether a nodule changes in size over time and is a feature in virtually every management protocol for both screen detected as well as incidentally detected nodules.
View Article and Find Full Text PDF