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Added:
5 months ago
Source:
Radcliffe Cardiology
AUTHOR: Ola WisniewskaA novel optical coherence tomography (OCT)-based physiological assessment, virtual flow reserve (VFR), has been shown to predict 2-year clinical outcomes following percutaneous coronary intervention (PCI), independent of anatomical measures like minimal stent area (MSA). This finding comes from a new substudy of the ILUMIEN IV trial, highlighting the potential of VFR to…
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Added:
1 week ago
Source:
Radcliffe Cardiology
A study has found that while the severity of ischaemia correlates poorly with daily angina symptoms in patients with stable coronary artery disease (CAD), the development of coronary collateral circulation is associated with both the ischaemic burden and reduced intensity of ischaemic chest pain.¹ This may help explain the often-observed disconnect between stenosis severity and patient-reported…
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Author(s):
Ryan Tedford
Added:
1 year ago
Author(s):
Tatsuya Nakama
Added:
10 months ago
LINC 2025 - Outcomes from the GRIFFIN study suggest post-procedural functional flow reserve (FFR) could be a useful predictor of restenosis after drug-coated balloon (DCB) angioplasty for superficial femoral artery (SFA) lesions. Restenosis patients showed significantly lower FFR values than non-restenosis patients, and the study resulted in a good FFR cut-off value of restenosis after DCB…
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Author(s):
Tomoki Sakata
Added:
1 year ago
Added:
1 month ago
Source:
Transcatheter Academy
An individual patient data (IPD) meta-analysis has found that using fractional flow reserve (FFR) to guide percutaneous coronary intervention (PCI) is associated with a significant reduction in major adverse events compared to a standard angiography-guided strategy. The benefit appears to be driven primarily by a reduction in peri-procedural myocardial infarction (MI).¹The PRIME Collaboration…
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Author(s):
Bhavik Modi
,
Subhabrata Dutta
,
Damien Collison
,
et al
Added:
1 year ago
Shengxian Tu
Author
Author(s):
Paul Haller
,
Benedikt Schrage
Added:
1 year ago
Added:
3 days ago
Source:
Radcliffe Cardiology
An artificial intelligence (AI) algorithm can identify high-risk coronary plaques on optical coherence tomography (OCT) images and predict adverse outcomes, according to findings from the PECTUS-AI study.¹ The research suggests that AI-assisted analysis of the entire imaged vessel provides superior prognostic value compared to manual analysis of a target lesion alone.Coronary thin-cap…
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