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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| ISSN: | 2509-9280 |
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| DOI: | 10.1186/s41747-026-00732-z |
