{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T21:15:31Z","timestamp":1788383731413,"version":"build-2803163510"},"reference-count":27,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T00:00:00Z","timestamp":1756425600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T00:00:00Z","timestamp":1756425600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To explore the feasibility of transcatheter aortic valve implantation (TAVI) planning computed tomography (CT) on single\u2010source 8\u2010cm detector scanners with proper dose control by using two deep\u2010learning reconstruction algorithms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Reduced\u2010dose TAVI planning CT was simulated by replacing routine aortic CT angiography (CTA) with a reduced\u2010dose aortic CTA and a reduced\u2010dose coronary CTA (Group A,\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a082), while keeping the total dose unchanged. Each of the two CTA scans was processed with a different deep\u2010learning reconstruction algorithm. Routine\u2010dose coronary CTA (Group B,\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a086) and routine\u2010dose aortic CTA (Group C,\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a077) with hybrid iterative reconstruction were used as reference for evaluating the acceptability for surgical planning (A vs. B for aortic valve; A vs. C for access route) and for comparing both the diagnostic and objective image quality (A vs. B for coronary arteries; A vs. C for aortoiliac arteries).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The mean effective dose in Group A was 8.22\u00a0\u00b1\u00a00.83 mSv, representing a 57% reduction of the routine\u2010dose TAVI planning CT, that is, a routine\u2010dose coronary CTA plus a routine\u2010dose aortic CTA on the same scanner model. With respect to B and C, images in A were scored higher for evaluating the aortic valve (\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      =\u00a00.045) and the access route (\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      =\u00a00.014) and for diagnosing the thoracic aorta and iliac segments (\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      &lt;\u00a00.050), while the diagnostic confidence were\u00a0comparable on the coronary arteries (\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      &gt;\u00a00.050), abdominal aorta (\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      =\u00a00.276), and femoral segment (\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      =\u00a00.816). The image noise in A was found to be 21%\u201355% lower, leading to a significant increase in contrast\u2010to\u2010noise ratio (CNR) by 63%\u2013114% (\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      &lt;\u00a00.050).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Reduced\u2010dose TAVI planning CT is feasible on 8\u2010cm detector scanners by using deep\u2010learning reconstruction algorithms, showing promise of implementing the examination in imaging settings that are more commonly accessible.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/acm2.70224","type":"journal-article","created":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T01:36:37Z","timestamp":1756517797000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Transcatheter aortic valve implantation (TAVI) planning CT on 8\u2010cm detector scanners: Proper dose control by combined use of two deep\u2010learning reconstruction algorithms"],"prefix":"10.1002","volume":"26","author":[{"given":"Qiang","family":"Shao","sequence":"first","affiliation":[{"name":"State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering Chongqing Medical University  Chongqing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongxia","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Radiology Yongchuan Hospital of Chongqing Medical University  Chongqing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"United Imaging Healthcare  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4819-3580","authenticated-orcid":false,"given":"Guozhi","family":"Zhang","sequence":"additional","affiliation":[{"name":"United Imaging Healthcare  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunyao","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology Yongchuan Hospital of Chongqing Medical University  Chongqing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaojun","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Radiology Yongchuan Hospital of Chongqing Medical University  Chongqing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Radiology Yongchuan Hospital of Chongqing Medical University  Chongqing 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