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Super-resolution deep learning reconstruction to evaluate lumbar spinal stenosis status on magnetic resonance myelography.

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Title: Super-resolution deep learning reconstruction to evaluate lumbar spinal stenosis status on magnetic resonance myelography.
Authors: Yasaka K; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan., Asari Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Morita Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Kurokawa M; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Tajima T; Department of Radiology, International University of Health and Welfare Mita Hospital, 1-4-3 Mita, Minato-Ku, Tokyo, 108-8329, Japan., Akai H; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan.; Department of Radiology, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-Ku, Tokyo, 108-8639, Japan., Yoshioka N; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan., Akahane M; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan., Ohtomo K; International University of Health and Welfare, 2600-1 Ktiakanemaru, Ohtawara, Tochigi, 324-8501, Japan., Abe O; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Kiryu S; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan. kiryu-tky@umin.ac.jp.
Source: Japanese journal of radiology [Jpn J Radiol] 2025 Sep; Vol. 43 (9), pp. 1427-1433. Date of Electronic Publication: 2025 Apr 23.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Japan NLM ID: 101490689 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-108X (Electronic) Linking ISSN: 18671071 NLM ISO Abbreviation: Jpn J Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Super-resolution deep learning reconstruction to evaluate lumbar spinal stenosis status on magnetic resonance myelography.
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  Data: <searchLink fieldCode="AU" term="%22Yasaka+K%22">Yasaka K</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan.<br /><searchLink fieldCode="AU" term="%22Asari+Y%22">Asari Y</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Morita+Y%22">Morita Y</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Kurokawa+M%22">Kurokawa M</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Tajima+T%22">Tajima T</searchLink>; Department of Radiology, International University of Health and Welfare Mita Hospital, 1-4-3 Mita, Minato-Ku, Tokyo, 108-8329, Japan.<br /><searchLink fieldCode="AU" term="%22Akai+H%22">Akai H</searchLink>; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan.; Department of Radiology, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-Ku, Tokyo, 108-8639, Japan.<br /><searchLink fieldCode="AU" term="%22Yoshioka+N%22">Yoshioka N</searchLink>; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan.<br /><searchLink fieldCode="AU" term="%22Akahane+M%22">Akahane M</searchLink>; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan.<br /><searchLink fieldCode="AU" term="%22Ohtomo+K%22">Ohtomo K</searchLink>; International University of Health and Welfare, 2600-1 Ktiakanemaru, Ohtawara, Tochigi, 324-8501, Japan.<br /><searchLink fieldCode="AU" term="%22Abe+O%22">Abe O</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Kiryu+S%22">Kiryu S</searchLink>; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan. kiryu-tky@umin.ac.jp.
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  Data: <searchLink fieldCode="JN" term="%22101490689%22">Japanese journal of radiology</searchLink> [Jpn J Radiol] 2025 Sep; Vol. 43 (9), pp. 1427-1433. <i>Date of Electronic Publication: </i>2025 Apr 23.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Japan <i>NLM ID: </i>101490689 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1867-108X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218671071%22">18671071 </searchLink><i>NLM ISO Abbreviation: </i>Jpn J Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s11604-025-01787-5
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              M: 09
              Text: 2025 Sep
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