{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T23:38:24Z","timestamp":1789256304091,"version":"build-2803163510"},"reference-count":26,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"9","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Circ: Cardiovascular Imaging"],"published-print":{"date-parts":[[2023,9]]},"abstract":"<jats:sec>\n                    <jats:title>BACKGROUND:<\/jats:title>\n                    <jats:p>Rapid plaque progression (RPP) is associated with a higher risk of acute coronary syndromes compared with gradual plaque progression. We aimed to develop and validate a coronary computed tomography angiography (CCTA)\u2013based radiomics signature (RS) of plaques for predicting RPP.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS:<\/jats:title>\n                    <jats:p>A total of 214 patients who underwent serial CCTA examinations from 2 tertiary hospitals (development group, 137 patients with 164 lesions; validation group, 77 patients with 101 lesions) were retrospectively enrolled. Conventional CCTA-defined morphological parameters (eg, high-risk plaque characteristics and plaque burden) and radiomics features of plaques were analyzed. RPP was defined as an annual progression of plaque burden \u22651.0% on lesion-level at follow-up CCTA. RS was built to predict RPP using XGBoost method.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS:<\/jats:title>\n                    <jats:p>\n                      RS significantly outperformed morphological parameters for predicting RPP in both the development group (area under the receiver operating characteristic curve, 0.82 versus 0.74;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      =0.04) and validation group (area under the receiver operating characteristic curve, 0.81 versus 0.69;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      =0.04). Multivariable analysis identified RS (odds ratio, 2.35 [95% CI, 1.32\u20134.46];\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      =0.005) as an independent predictor of subsequent RPP in the validation group after adjustment of morphological confounders. Unlike unchanged RS in the non-RPP group, RS increased significantly in the RPP group at follow-up in the whole dataset (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt;0.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS:<\/jats:title>\n                    <jats:p>The proposed CCTA-based RS had a better discriminative value to identify plaques at risk of rapid progression compared with conventional morphological plaque parameters. These data suggest the promising utility of radiomics for predicting RPP in a low-risk group on CCTA.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/circimaging.123.015340","type":"journal-article","created":{"date-parts":[[2023,9,19]],"date-time":"2023-09-19T14:00:54Z","timestamp":1695132054000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":21,"title":["Development and Validation of CCTA-based Radiomics Signature for Predicting Coronary Plaques With Rapid Progression"],"prefix":"10.1161","volume":"16","author":[{"given":"Qian","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Radiology, Affiliated Jinling Hospital (Q.C., C.X.T., L.Y., P.X., L.J.Z.), Nanjing Medical University, China."},{"name":"Department of Radiology, Nanjing First Hospital (Q.C., G.X., Y.F., Y.H., S.Z., H.X., X.Y.), Nanjing Medical University, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3224-6684","authenticated-orcid":true,"given":"Guanghui","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Radiology, Nanjing First Hospital (Q.C., G.X., Y.F., Y.H., S.Z., H.X., X.Y.), Nanjing Medical University, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chun Xiang","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Affiliated Jinling Hospital (Q.C., C.X.T., L.Y., P.X., L.J.Z.), Nanjing Medical University, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liu","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Affiliated Jinling Hospital (Q.C., C.X.T., L.Y., P.X., L.J.Z.), Nanjing Medical University, 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