Publications by authors named "Yoshiki Misu"

We aimed to develop machine learning-based predictive models for identifying inappropriate implantable cardioverter-defibrillator (ICD) therapy. Our study included 182 consecutive cases (average age 62.2 ± 4.

View Article and Find Full Text PDF
Article Synopsis
  • The study focuses on understanding the characteristics of healed plaques (HPs) in patients with coronary artery lesions using advanced imaging techniques like optical coherence tomography (OCT) and coronary angioscopy (CAS).
  • Out of 33 patients, HPs were identified in 52.8% of lesions, which showed more severe conditions, such as worse blood flow and higher blockage than lesions without HPs.
  • The presence of specific features like thin-cap fibroatheroma, macrophages, and red thrombus significantly predicted HPs and suggested that these healed lesions may still carry risks for future heart problems due to underlying inflammation.
View Article and Find Full Text PDF