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Plaque burden estimated from optical coherence tomography with deep learning: In vivo validation using co-registered intravascular ultrasound.
Catheter Cardiovasc Interv
February 2023
The Lambe Institute for Translational Medicine, Smart Sensors Laboratory and CÚRAM, University of Galway, Galway, Ireland.
Article Synopsis
- The study aimed to assess the effectiveness of a deep learning algorithm for measuring plaque burden (PB) using optical coherence tomography (OCT) and compare it to traditional intravascular ultrasound (IVUS).
- The analysis involved 5-year follow-up images from 15 patients, focusing on how well the algorithm's PB measurements matched those from IVUS, with attention given to different levels of media visibility in OCT images.
- Results showed strong agreement between the two methods (ICC = 0.81) and high diagnostic accuracy for detecting significant PB, suggesting the deep learning approach could be a valuable addition to standard OCT imaging techniques.
Optical stent-sizes in evaluating patency of coronary lumen surrounded by XIENCE of actual diameters 2.21-2.85 mm in 1st-generation 320-slice-CT using Pulsating-Phantom XIENCE phantom study part 5.
Int J Cardiol
January 2016
Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba City, Chiba 260-8670, Japan.
Comparison of carotid stents: an in-vitro experiment focusing on stent design.
J Endovasc Ther
April 2009
Department of Diagnostic and Interventional Radiology / Neuroradiology, Academic Hospitals Flensburg, Germany.
Purpose: To examine and compare different carotid stent designs with regard to flexibility, adaptability (adjustability), conformability (compliance) to the vessel, and scaffolding to reduce plaque prolapse and embolization.
Methods: Six stents of different design were compared (Precise, Acculink, Protégé, Xact, Wallstent, and Cristallo Ideale). Optical microscopy was used to determine exact dimensions and scaffolding of each stent.
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