Diagnostic value of a second-generation super-resolution deep learning-based reconstruction combined with a metal artifact reduction algorithm for pelvic CT.

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Title: Diagnostic value of a second-generation super-resolution deep learning-based reconstruction combined with a metal artifact reduction algorithm for pelvic CT.
Authors: Takaishi T; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Yasaka K; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. koyasaka@gmail.com., Miyamoto K; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Gotoda K; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Sato C; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Abe O; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Source: Skeletal radiology [Skeletal Radiol] 2026 Apr; Vol. 55 (4), pp. 757-765. Date of Electronic Publication: 2025 Nov 15.
Publication Type: Journal Article
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7701953 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2161 (Electronic) Linking ISSN: 03642348 NLM ISO Abbreviation: Skeletal Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Diagnostic value of a second-generation super-resolution deep learning-based reconstruction combined with a metal artifact reduction algorithm for pelvic CT.
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  Data: <searchLink fieldCode="AU" term="%22Takaishi+T%22">Takaishi T</searchLink>; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Yasaka+K%22">Yasaka K</searchLink>; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. koyasaka@gmail.com.<br /><searchLink fieldCode="AU" term="%22Miyamoto+K%22">Miyamoto K</searchLink>; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Gotoda+K%22">Gotoda K</searchLink>; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Sato+C%22">Sato C</searchLink>; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Abe+O%22">Abe O</searchLink>; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
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  Data: <searchLink fieldCode="JN" term="%227701953%22">Skeletal radiology</searchLink> [Skeletal Radiol] 2026 Apr; Vol. 55 (4), pp. 757-765. <i>Date of Electronic Publication: </i>2025 Nov 15.
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        Value: 10.1007/s00256-025-05080-4
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      – TitleFull: Diagnostic value of a second-generation super-resolution deep learning-based reconstruction combined with a metal artifact reduction algorithm for pelvic CT.
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            NameFull: Takaishi T
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              Text: 2026 Apr
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              Y: 2026
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