{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T21:12:31Z","timestamp":1789765951252,"version":"4.0.1"},"reference-count":37,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T00:00:00Z","timestamp":1677456000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>The clinical application of coronary MR angiography (MRA) remains limited due to its long acquisition time and often unsatisfactory image quality. A compressed sensing artificial intelligence (CSAI) framework was recently introduced to overcome these limitations, but its feasibility in coronary MRA is unknown.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To evaluate the diagnostic performance of noncontrast\u2010enhanced coronary MRA with CSAI in patients with suspected coronary artery disease (CAD).<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective observational study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>A total of 64 consecutive patients (mean age\u2009\u00b1\u2009standard deviation [SD]: 59\u2009\u00b1\u200910\u2009years, 48.4% females) with suspected CAD.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>A 3.<jats:styled-content style=\"fixed-case\">0\u2010T<\/jats:styled-content>, balanced steady\u2010state free precession sequence.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Three observers evaluated the image quality for 15 coronary segments of the right and left coronary arteries using a 5\u2010point scoring system (1\u00a0=\u00a0not visible; 5\u00a0=\u00a0excellent). Image scores \u22653 were considered diagnostic. Furthermore, the detection of CAD with \u226550% stenosis was evaluated in comparison to reference standard coronary computed tomography angiography (CTA). Mean acquisition times for CSAI\u2010based coronary MRA were measured.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>For each patient, vessel and segment, sensitivity, specificity, and diagnostic accuracy of CSAI\u2010based coronary MRA for detecting CAD with \u226550% stenosis according to coronary CTA were calculated. Intraclass correlation coefficients (ICCs) were used to assess the interobserver agreement.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The mean MR acquisition time\u2009\u00b1\u2009SD was 8.1\u2009\u00b1\u20092.4\u00a0minutes. Twenty\u2010five (39.1%) patients had CAD with \u226550% stenosis on coronary CTA and 29 (45.3%) patients on MRA. A total of 885 segments on the CTA images and 818\/885 (92.4%) coronary MRA segments were diagnostic (image score\u2009\u22653). The sensitivity, specificity, and diagnostic accuracy were as follows: per patient (92.0%, 84.6%, and 87.5%), per vessel (82.9%, 93.4%, and 91.1%), and per segment (77.6%, 98.2%, and 96.6%), respectively. The ICCs for image quality and stenosis assessment were 0.76\u20130.99 and 0.66\u20131.00, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>The image quality and diagnostic performance of coronary MRA with CSAI may show good results in comparison to coronary CTA in patients with suspected CAD.<\/jats:p><\/jats:sec><jats:sec><jats:title>Evidence Level<\/jats:title><jats:p>1.<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>2.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.28653","type":"journal-article","created":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T15:34:55Z","timestamp":1677512095000},"page":"1521-1530","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Deep Learning\u2010Based Acceleration of Compressed Sensing for Noncontrast\u2010Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery Disease"],"prefix":"10.1002","volume":"58","author":[{"given":"Xi","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Radiology West China Hospital of Sichuan University  Chengdu Sichuan China"},{"name":"Department of Radiology Affiliated Hospital of North Sichuan Medical College  Nanchong Sichuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liping","family":"Deng","sequence":"additional","affiliation":[{"name":"Department of Radiology West China Hospital of Sichuan University  Chengdu Sichuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanjiang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology West China Hospital of Sichuan University  Chengdu Sichuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengfei","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Radiology West China Hospital of Sichuan University  Chengdu Sichuan 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