Predicting resistance to neoadjuvant chemotherapy in osteosarcoma using machine learning with clinical data and T2-weighted MRI radiomics.
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| Title: | Predicting resistance to neoadjuvant chemotherapy in osteosarcoma using machine learning with clinical data and T2-weighted MRI radiomics. |
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| Authors: | Inkeaw P; Data Science Research Center, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.; Global Health and Chronic Conditions Research Group, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.; Department of Computer Science, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand., Pruksakorn D; Department of Orthopedics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.; Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand., Angkurawaranon S; Global Health and Chronic Conditions Research Group, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.; Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand., Morakote W; Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand., Boonsri P; Department of Radiology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand., Phettom R; Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand., Kanthawang T; Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand. thanatkanthawang@gmail.com.; Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand. thanatkanthawang@gmail.com. |
| Source: | European radiology experimental [Eur Radiol Exp] 2026 May 20; Vol. 10 (1). Date of Electronic Publication: 2026 May 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42159937 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting resistance to neoadjuvant chemotherapy in osteosarcoma using machine learning with clinical data and T2-weighted MRI radiomics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Inkeaw+P%22">Inkeaw P</searchLink>; Data Science Research Center, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.; Global Health and Chronic Conditions Research Group, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.; Department of Computer Science, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.<br /><searchLink fieldCode="AU" term="%22Pruksakorn+D%22">Pruksakorn D</searchLink>; Department of Orthopedics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.; Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.<br /><searchLink fieldCode="AU" term="%22Angkurawaranon+S%22">Angkurawaranon S</searchLink>; Global Health and Chronic Conditions Research Group, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.; Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.<br /><searchLink fieldCode="AU" term="%22Morakote+W%22">Morakote W</searchLink>; Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.<br /><searchLink fieldCode="AU" term="%22Boonsri+P%22">Boonsri P</searchLink>; Department of Radiology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.<br /><searchLink fieldCode="AU" term="%22Phettom+R%22">Phettom R</searchLink>; Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.<br /><searchLink fieldCode="AU" term="%22Kanthawang+T%22">Kanthawang T</searchLink>; Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand. thanatkanthawang@gmail.com.; Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand. thanatkanthawang@gmail.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101721752%22">European radiology experimental</searchLink> [Eur Radiol Exp] 2026 May 20; Vol. 10 (1). <i>Date of Electronic Publication: </i>2026 May 20. – 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="%22SpringerOpen%22">SpringerOpen </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101721752 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2509-9280 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225099280%22">25099280 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol Exp <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42159937 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s41747-026-00732-z Languages: – Code: eng Text: English Titles: – TitleFull: Predicting resistance to neoadjuvant chemotherapy in osteosarcoma using machine learning with clinical data and T2-weighted MRI radiomics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Inkeaw P – PersonEntity: Name: NameFull: Pruksakorn D – PersonEntity: Name: NameFull: Angkurawaranon S – PersonEntity: Name: NameFull: Morakote W – PersonEntity: Name: NameFull: Boonsri P – PersonEntity: Name: NameFull: Phettom R – PersonEntity: Name: NameFull: Kanthawang T IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 05 Text: 2026 May 20 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2509-9280 Numbering: – Type: volume Value: 10 – Type: issue Value: 1 Titles: – TitleFull: European radiology experimental Type: main |
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