{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T21:16:52Z","timestamp":1789766212751,"version":"4.0.1"},"reference-count":35,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"6","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Circ: Cardiovascular Imaging"],"published-print":{"date-parts":[[2020,6]]},"abstract":"<jats:sec>\n            <jats:title>Background:<\/jats:title>\n            <jats:p>Preclinical studies and pilot patient studies have shown that chronic infarctions can be detected and characterized from cardiac magnetic resonance without gadolinium-based contrast agents using native-T1 maps at 3T. We aimed to investigate the diagnostic capacity of this approach for characterizing chronic myocardial infarctions (MIs) in a multi-center setting.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods:<\/jats:title>\n            <jats:p>Patients with a prior MI (n=105) were recruited at 3 different medical centers and were imaged with native-T1 mapping and late gadolinium enhancement (LGE) at 3T. Infarct location, size, and transmurality were determined from native-T1 maps and LGE. Sensitivity, specificity, receiver-operating characteristic metrics, and inter- and intraobserver variabilities were assessed relative to LGE.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results:<\/jats:title>\n            <jats:p>\n              Across all subjects, T1 of MI territory was 1621\u00b1110 ms, and remote territory was 1225\u00b175 ms. Sensitivity, specificity, and area under curve for detecting MI location based on native-T1 mapping relative to LGE were 88%, 92%, and 0.93, respectively. Native-T1 maps were not different for measuring infarct size (native-T1 maps: 12.1\u00b17.5%; LGE: 11.8\u00b17.2%,\n              <jats:italic>P<\/jats:italic>\n              =0.82) and were in agreement with LGE (\n              <jats:italic>R<\/jats:italic>\n              <jats:sup>\n                <jats:italic>2<\/jats:italic>\n              <\/jats:sup>\n              =0.92, bias, 0.09\u00b12.6%). Corresponding inter- and intraobserver assessments were also highly correlated (interobserver:\n              <jats:italic>R<\/jats:italic>\n              <jats:sup>\n                <jats:italic>2<\/jats:italic>\n              <\/jats:sup>\n              =0.90, bias, 0.18\u00b12.4%; and intraobserver:\n              <jats:italic>R<\/jats:italic>\n              <jats:sup>\n                <jats:italic>2<\/jats:italic>\n              <\/jats:sup>\n              =0.91, bias, 0.28\u00b12.1%). Native T1 maps were not different for measuring MI transmurality (native-T1 maps: 49.1\u00b115.8%; LGE: 47.2\u00b119.0%,\n              <jats:italic>P<\/jats:italic>\n              =0.56) and showed agreement (\n              <jats:italic>R<\/jats:italic>\n              <jats:sup>\n                <jats:italic>2<\/jats:italic>\n              <\/jats:sup>\n              =0.71; bias, 1.32\u00b110.2%). Corresponding inter- and intraobserver assessments were also in agreement (interobserver:\n              <jats:italic>R<\/jats:italic>\n              <jats:sup>\n                <jats:italic>2<\/jats:italic>\n              <\/jats:sup>\n              =0.81, bias, 0.1\u00b19.4%; and intraobserver:\n              <jats:italic>R<\/jats:italic>\n              <jats:sup>\n                <jats:italic>2<\/jats:italic>\n              <\/jats:sup>\n              =0.91, bias, 0.28\u00b12.1%, respectively). While the overall accuracy for detecting MI with native-T1 maps at 3T was high, logistic regression analysis showed that MI location was a prominent confounder.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions:<\/jats:title>\n            <jats:p>Native-T1 mapping can be used to image chronic MI with high degree of accuracy, and as such, it is a viable alternative for scar imaging in patients with chronic MI who are contraindicated for LGE. Technical advancements may be needed to overcome the imaging confounders that currently limit native-T1 mapping from reaching equivalent detection levels as LGE.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/circimaging.119.009894","type":"journal-article","created":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T09:00:18Z","timestamp":1591606818000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":17,"title":["Multicenter Study on the Diagnostic Performance of Native-T1 Cardiac Magnetic Resonance of Chronic Myocardial Infarctions at 3T"],"prefix":"10.1161","volume":"13","author":[{"given":"Guan","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."},{"name":"Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang (G.W.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sang-Eun","family":"Lee","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea (S.-E.L., H.-J.C.)."},{"name":"Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, South Korea (S.-E.L.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."},{"name":"Department of Radiology, Xuanwu Hospital, Beijing, China (Q.Y.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vignesh","family":"Sadras","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suraj","family":"Patel","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hsin-Jung","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Behzad","family":"Sharif","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."},{"name":"Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (B.S., I.C., D.L., D.S.B., R.D.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Avinash","family":"Kali","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivan","family":"Cokic","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."},{"name":"Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (B.S., I.C., D.L., D.S.B., R.D.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoxi","family":"Xie","sequence":"additional","affiliation":[{"name":"Guangzhou Medical University, China (G.X.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mourad","family":"Tighiouart","sequence":"additional","affiliation":[{"name":"Biostatistics and Bioinformatics Research Center (M.T.), Cedars-Sinai Medical Center, Los Angeles, CA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremy","family":"Collins","sequence":"additional","affiliation":[{"name":"Department of Radiology, Mayo Clinic, Rochester (J.C.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Debiao","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."},{"name":"Department of Imaging (D.L., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA."},{"name":"Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (B.S., I.C., D.L., D.S.B., R.D.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel S","family":"Berman","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."},{"name":"Cedars-Sinai Heart Institute (D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA."},{"name":"Department of Imaging (D.L., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA."},{"name":"Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (B.S., I.C., D.L., D.S.B., 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