ArticleFrontiers in cardiovascular medicine2025
Integrated CT-derived fractional flow reserve and perivascular fat attenuation index: a multimodal approach to predict in-stent restenosis.
Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: A significant proportion of patients develop in-stent restenosis (ISR) following percutaneous coronary intervention (PCI) with stent implantation, adversely impacting long-term outcomes. Pericoronary fat attenuation index (FAI) and coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) represent emerging non-invasive imaging biomarkers potentially contributing to ISR pathogenesis through inflammatory and hemodynamic mechanisms. Objective: To construct and evaluate an integrated multimodal predictive model integrating non-invasive computed tomography angiography-derived fractional flow reserve (CT-FFR) and pericoronary fat attenuation index (FAI) for assessing drug-eluting stent (DES)-associated ISR. Methods: This retrospective cohort study enrolled 144 patients (225 coronary lesions) undergoing coronary CT angiography (CCTA) between 2020 and 2024, followed by PCI within one month and subsequent angiographic follow-up (either invasive coronary angiography or CCTA). Computed tomography angiography-derived fractional flow reserve (CT-FFR) values for target lesions were reconstructed using deep learning algorithms. Pericoronary FAI was quantified at the stented coronary segment. The primary endpoint was angiographically confirmed in-stent restenosis (ISR, defined as luminal stenosis ≥50%) during follow-up. A hybrid-effects logistic regression model generated the integrated CT-FAI-FFR score. Predictive efficacy was evaluated using receiver operating characteristic (ROC) curve analysis and decision curve analysis. Results: During a median follow-up duration of 25.5 months, ISR occurred in 55 lesions (24.4%). The study cohort was 67.0% male. the multimodal CT-FAI-FFR model achieved an area under the ROC curve (AUC) of 0.793 for predicting ISR. This predictive performance significantly surpassed that of the baseline alone (AUC 0.656, Conclusion: The CT-FAI-FFR score optimizes ISR risk stratification by integrating complementary information reflecting hemodynamic impairment and local vascular inflammation. This finding suggests a potential pathophysiological interplay between perivascular inflammation and hemodynamic impairment in ISR development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.