{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["28(12)"],"submitter":["Xu PP"],"pubmed_abstract":["Acute coronary syndrome (ACS) risk stratification requires assessment across different time frames. This multicenter study investigated whether a single coronary computed tomography angiography (CCTA) scan could provide integrated short-term (≤7 days) and long-term (≥30 days) risk assessment. The study developed and validated dual-timeframe models combining population health data, stenosis severity, quantitative low-density plaque burden (LDP%), and the hemodynamic parameter ΔCT-FFR (CT-derived fractional flow reserve [CT-FFR] proximal to the lesion minus CT-FFR distal to the lesion). Key findings indicate that while stenosis and LDP% predicted ACS risk in both time frames, ΔCT-FFR was specifically associated with short-term risk. The combined models demonstrated superior performance and g"],"journal":["iScience"],"pagination":["113821"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12682005"],"repository":["biostudies-literature"],"pubmed_title":["Coronary computed tomography angiography plaque and flow patterns in acute coronary syndrome lesions."],"pmcid":["PMC12682005"],"pubmed_authors":["Zou JN","Chen Q","Qiao HY","Zhou CS","Hu X","Zhang LJ","Wang F","Han Y","Miao LS","Guo BJ","Xu H","Xu PP","Lu MJ","Liu Y","Guo JH","Zhou F","Xu ZH","Tao XW"],"additional_accession":[]},"is_claimable":false,"name":"Coronary computed tomography angiography plaque and flow patterns in acute coronary syndrome lesions.","description":"Acute coronary syndrome (ACS) risk stratification requires assessment across different time frames. This multicenter study investigated whether a single coronary computed tomography angiography (CCTA) scan could provide integrated short-term (≤7 days) and long-term (≥30 days) risk assessment. The study developed and validated dual-timeframe models combining population health data, stenosis severity, quantitative low-density plaque burden (LDP%), and the hemodynamic parameter ΔCT-FFR (CT-derived fractional flow reserve [CT-FFR] proximal to the lesion minus CT-FFR distal to the lesion). Key findings indicate that while stenosis and LDP% predicted ACS risk in both time frames, ΔCT-FFR was specifically associated with short-term risk. The combined models demonstrated superior performance and g","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-05T23:53:29.552Z","creation":"2026-05-23T03:13:38.005Z"},"accession":"S-EPMC12682005","cross_references":{"pubmed":["41362623"],"doi":["10.1016/j.isci.2025.113821"]}}