Predicting resistance to neoadjuvant chemotherapy in osteosarcoma using machine learning with clinical data and T2-weighted MRI radiomics

Abstract Objectives Identifying patients at risk of chemoresistant osteosarcoma enables risk-adapted management. This study aimed to predict chemoresistant osteosarcoma using baseline clinical and magnetic resonance (MRI)-derived radiomics features, with histological response as the reference standa...

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Xehetasun bibliografikoak

Egile Nagusiak:	Papangkorn Inkeaw, Dumnoensun Pruksakorn, Salita Angkurawaranon, Wipawee Morakote, Pattira Boonsri, Rattanathon Phettom, Thanat Kanthawang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	SpringerOpen 2026-05-01
Saila:	European Radiology Experimental
Gaiak:	Artificial intelligence Drug resistance (neoplasm) Magnetic resonance imaging Osteosarcoma Radiomics
Sarrera elektronikoa:	https://doi.org/10.1186/s41747-026-00732-z
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