Predicting perceived exertion during high-intensity exercise using quantitative MRI: insights from T2* value and muscle cross-sectional area.
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| Title: | Predicting perceived exertion during high-intensity exercise using quantitative MRI: insights from T2* value and muscle cross-sectional area. |
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| Authors: | Shibukawa S; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan. shuhei.shibu@gmail.com.; Department of Radiology, Tokyo Medical University, Sinjuku-ku, Tokyo, Japan. shuhei.shibu@gmail.com.; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Tokyo, Japan. shuhei.shibu@gmail.com., Yoshimaru D; Division of Regenerative Medicine, Jikei University School of Medicine, Minato, Japan., Hiyama Y; Faculty of Health Science, Department of Physical Therapy, Juntendo University, Tokyo, Japan., Saho T; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.; Department of Radiological Technology, Kokura Memorial Hospital, Fukuoka, Japan., Ozawa T; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan., Usui K; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan., Goto M; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan., Sakamoto H; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan., Kyogoku S; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan., Daida H; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan. |
| Source: | Radiological physics and technology [Radiol Phys Technol] 2025 Sep; Vol. 18 (3), pp. 746-755. Date of Electronic Publication: 2025 Jun 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Japan Country of Publication: Japan NLM ID: 101467995 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1865-0341 (Electronic) Linking ISSN: 18650333 NLM ISO Abbreviation: Radiol Phys Technol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40518471 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting perceived exertion during high-intensity exercise using quantitative MRI: insights from T2* value and muscle cross-sectional area. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shibukawa+S%22">Shibukawa S</searchLink>; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan. shuhei.shibu@gmail.com.; Department of Radiology, Tokyo Medical University, Sinjuku-ku, Tokyo, Japan. shuhei.shibu@gmail.com.; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Tokyo, Japan. shuhei.shibu@gmail.com.<br /><searchLink fieldCode="AU" term="%22Yoshimaru+D%22">Yoshimaru D</searchLink>; Division of Regenerative Medicine, Jikei University School of Medicine, Minato, Japan.<br /><searchLink fieldCode="AU" term="%22Hiyama+Y%22">Hiyama Y</searchLink>; Faculty of Health Science, Department of Physical Therapy, Juntendo University, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Saho+T%22">Saho T</searchLink>; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.; Department of Radiological Technology, Kokura Memorial Hospital, Fukuoka, Japan.<br /><searchLink fieldCode="AU" term="%22Ozawa+T%22">Ozawa T</searchLink>; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Usui+K%22">Usui K</searchLink>; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Goto+M%22">Goto M</searchLink>; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Sakamoto+H%22">Sakamoto H</searchLink>; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kyogoku+S%22">Kyogoku S</searchLink>; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Daida+H%22">Daida H</searchLink>; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101467995%22">Radiological physics and technology</searchLink> [Radiol Phys Technol] 2025 Sep; Vol. 18 (3), pp. 746-755. <i>Date of Electronic Publication: </i>2025 Jun 15. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Japan%22">Springer Japan </searchLink><i>Country of Publication: </i>Japan <i>NLM ID: </i>101467995 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1865-0341 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218650333%22">18650333 </searchLink><i>NLM ISO Abbreviation: </i>Radiol Phys Technol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40518471 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12194-025-00927-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 746 Titles: – TitleFull: Predicting perceived exertion during high-intensity exercise using quantitative MRI: insights from T2* value and muscle cross-sectional area. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shibukawa S – PersonEntity: Name: NameFull: Yoshimaru D – PersonEntity: Name: NameFull: Hiyama Y – PersonEntity: Name: NameFull: Saho T – PersonEntity: Name: NameFull: Ozawa T – PersonEntity: Name: NameFull: Usui K – PersonEntity: Name: NameFull: Goto M – PersonEntity: Name: NameFull: Sakamoto H – PersonEntity: Name: NameFull: Kyogoku S – PersonEntity: Name: NameFull: Daida H IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2025 Sep Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1865-0341 Numbering: – Type: volume Value: 18 – Type: issue Value: 3 Titles: – TitleFull: Radiological physics and technology Type: main |
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