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Ultrafast cervcial spine MRI protocol using deep learning-based reconstruction: Diagnostic equivalence to a conventional protocol.

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Title: Ultrafast cervcial spine MRI protocol using deep learning-based reconstruction: Diagnostic equivalence to a conventional protocol.
Authors: Kashiwagi N; Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Japan. Electronic address: nobuo.kashiwagi@oici.jp., Sakai M; Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Japan. Electronic address: mio.sakai@oici.jp., Tsukabe A; Department of Radiology, Toyonaka Municipal Hospital, Japan., Yamashita Y; Canon Medical Systems Corporation, Japan. Electronic address: yuichi.yamashita@medical.canon., Fujiwara M; Department of Radiology, Osaka Medical and Pharmaceutical University Hospital, Japan. Electronic address: masahiro.fujiwara@ompu.ac.jp., Yamagata K; Department of Radiology, Osaka University Graduate School of Medicine, Japan. Electronic address: k-yamagata@radiol.med.osaka-u.ac.jp., Nakamoto A; Department of Future Diagnostic Radiology, Osaka University Graduate School of Medicine, Japan. Electronic address: a-nakamoto@radiol.med.osaka-u.ac.jp., Nakanishi K; Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Japan. Electronic address: je2k-nkns@oici.jp., Tomiyama N; Department of Radiology, Osaka University Graduate School of Medicine, Japan. Electronic address: tomiyama@radiol.med.osaka-u.ac.jp.
Source: European journal of radiology [Eur J Radiol] 2022 Nov; Vol. 156, pp. 110531. Date of Electronic Publication: 2022 Sep 21.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 8106411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7727 (Electronic) Linking ISSN: 0720048X NLM ISO Abbreviation: Eur J Radiol Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Ultrafast cervcial spine MRI protocol using deep learning-based reconstruction: Diagnostic equivalence to a conventional protocol.
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  Data: <searchLink fieldCode="AU" term="%22Kashiwagi+N%22">Kashiwagi N</searchLink>; Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Japan. Electronic address: nobuo.kashiwagi@oici.jp.<br /><searchLink fieldCode="AU" term="%22Sakai+M%22">Sakai M</searchLink>; Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Japan. Electronic address: mio.sakai@oici.jp.<br /><searchLink fieldCode="AU" term="%22Tsukabe+A%22">Tsukabe A</searchLink>; Department of Radiology, Toyonaka Municipal Hospital, Japan.<br /><searchLink fieldCode="AU" term="%22Yamashita+Y%22">Yamashita Y</searchLink>; Canon Medical Systems Corporation, Japan. Electronic address: yuichi.yamashita@medical.canon.<br /><searchLink fieldCode="AU" term="%22Fujiwara+M%22">Fujiwara M</searchLink>; Department of Radiology, Osaka Medical and Pharmaceutical University Hospital, Japan. Electronic address: masahiro.fujiwara@ompu.ac.jp.<br /><searchLink fieldCode="AU" term="%22Yamagata+K%22">Yamagata K</searchLink>; Department of Radiology, Osaka University Graduate School of Medicine, Japan. Electronic address: k-yamagata@radiol.med.osaka-u.ac.jp.<br /><searchLink fieldCode="AU" term="%22Nakamoto+A%22">Nakamoto A</searchLink>; Department of Future Diagnostic Radiology, Osaka University Graduate School of Medicine, Japan. Electronic address: a-nakamoto@radiol.med.osaka-u.ac.jp.<br /><searchLink fieldCode="AU" term="%22Nakanishi+K%22">Nakanishi K</searchLink>; Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Japan. Electronic address: je2k-nkns@oici.jp.<br /><searchLink fieldCode="AU" term="%22Tomiyama+N%22">Tomiyama N</searchLink>; Department of Radiology, Osaka University Graduate School of Medicine, Japan. Electronic address: tomiyama@radiol.med.osaka-u.ac.jp.
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  Data: <searchLink fieldCode="JN" term="%228106411%22">European journal of radiology</searchLink> [Eur J Radiol] 2022 Nov; Vol. 156, pp. 110531. <i>Date of Electronic Publication: </i>2022 Sep 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science+Ireland+Ltd%22">Elsevier Science Ireland Ltd </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>8106411 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1872-7727 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220720048X%22">0720048X </searchLink><i>NLM ISO Abbreviation: </i>Eur J Radiol <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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              Text: 2022 Nov
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