Long-term benefit from high-dose ifosfamide in sarcoma depends on sustained prior control and timely intervention: a machine learning analysis

Abstract Purpose High-dose ifosfamide (HD-IFO) remains an effective regimen for advanced bone and soft tissue sarcomas, but predictors of long-term benefit are poorly defined. This study evaluated clinical outcomes and prognostic factors using machine learning-assisted modeling in sarcoma patients t...

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Главные авторы:	Michael Hoberger, Romy L. Zuber, Anton Burkhard-Meier, Dorit Di Gioia, Vindi Jurinovic, Michael Völkl, Sinan E. Güler, Markus Albertsmeier, Alexander Klein, Hans Roland Dürr, Nina-Sophie Schmidt-Hegemann, Thomas Knösel, Wolfgang G. Kunz, Michael von Bergwelt-Baildon, Lars H. Lindner, Luc M. Berclaz
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Springer 2026-01-01
Серии:	Journal of Cancer Research and Clinical Oncology
Предметы:	Bone sarcoma Soft tissue sarcoma High-dose ifosfamide Machine learning-assisted modeling
Online-ссылка:	https://doi.org/10.1007/s00432-025-06410-8
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