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Article Abstract
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507601 | PMC |
| http://dx.doi.org/10.4244/AIJ-E-23-00001 | DOI Listing |
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Article Synopsis
- Coronary computed tomography angiography (CCTA) offers 3D views of coronary artery disease but struggles to show intricate details within the vessel wall, whereas intravascular imaging provides better resolution but lacks 3D context.
- The proposed framework aims to improve the matching between CCTA and intravascular images by identifying the best virtual catheter path to align the two image types accurately.
- Tested on a group of 40 patients, this new method significantly enhances alignment accuracy for bifurcation points, streamlining the process for larger clinical studies and paving the way for machine learning applications in image registration.
The Usefulness of Coregistration with iFR in Tandem or Long Diffuse Coronary Lesions: The iLARDI Randomized Clinical Trial.
J Clin Med
July 2024
Department of Cardiology, Reina Sofia University Hospital, 14004 Cordoba, Spain.
Article Synopsis
- - The study investigated the effectiveness of using a SyncVision/iFR (S-iFR)-guided strategy for percutaneous coronary intervention (PCI) in patients with complex coronary lesions, compared to a standard angiography-guided approach.
- - 100 patients were randomized into two groups: one using S-iFR guidance and the other using angiography; the main focus was on the implanted stent length and target vessel failure (TVF) after one year.
- - Results showed that the S-iFR group had a shorter total stent length but also a slight increase in TVF, although this increase was not statistically significant.
BOOM: A novel bifurcation stent technique using optical coherence tomography co-registration.
Cardiovasc Revasc Med
April 2025
St. Francis Hospital & Heart Center, Roslyn, New York, United States of America; Cardiovascular Research Foundation, New York, NY, United States of America.
Background/purpose: Bifurcation lesions comprise 20 % of percutaneous coronary interventions (PCI) and are associated with worse long-term outcomes. With an increasing percentage of patients presenting with complex anatomy, including bifurcation disease, there is a need for treatment strategies to optimize PCI outcomes.
Methods/materials: We retrospectively analyzed 48 patients undergoing OCT guided bifurcation PCI using the 'Bifurcation and Ostial OCT Mapping' (BOOM) technique.
Comparison of imaging modalities for the accurate delineation of arteriovenous malformations (AVM) and evaluation of setup accuracy with reference to non-invasive LINAC-based stereotactic radiosurgery (SRS).
J Cancer Res Ther
April 2024
Department of Cancer Epidemiology and Bio-Statistics, Regional Cancer Centre, Trivandrum, Kerala, India.
Aims: To compare the accuracy of nidus delineation using magnetic resonance angiography (MRA) to digital subtraction angiography (DSA) and to evaluate setup accuracy of non-invasive frame SRS treatments.
Settings And Design: A prospective observational study of 16 patients who underwent non-invasive frame LINAC-based SRS for brain AVMs.
Materials And Methods: The nidus was separately delineated using DSA and MRA after co-registration onto CT simulation images and compared with respect to their volume and maximum diameters.
Illusion of revascularization: does anyone achieve optimal revascularization during percutaneous coronary intervention?
Nat Rev Cardiol
September 2024
The Lambe Institute for Translational Medicine, the Smart Sensors Laboratory and Curam, University of Galway, Galway, Ireland.
Article Synopsis
- The article discusses how the challenges highlighted in a 1993 review about percutaneous revascularization in coronary artery disease still apply today, revealing ongoing issues in clinical practice.
- It emphasizes that relying solely on visual angiographic guidance during procedures can lead to improper stenting and treatment, affecting about one-third of patients negatively.
- To improve patient outcomes, the article calls for better diagnostic methods that combine physiological assessments with advanced imaging technology and AI-driven approaches.