Radiomics models with baseline MRI and clinical data to predict target therapy response and high-risk mortality in metastatic GIST

Abstract To develop radiomics models based on baseline multi-parametric magnetic resonance imaging (MRI) data and clinical characteristics to predict 6-month progressive disease (PD) status in metastatic gastrointestinal stromal tumor (GIST) patients receiving targeted therapy, enabling long-term pr...

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Ngā kaituhi matua:	Guifang Lin, Quanjian Zhu, Fenxia Yang, Tianxiu Zou, Dongwei Ruan, Minghong Chen, Bin Zheng, Yiming Liao, Weiwen Lin, Jiangao Xie, JingMing Chen, Lili Wang, Yongjian Zhou
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Nature Portfolio 2025-11-01
Rangatū:	Scientific Reports
Ngā marau:	Gastrointestinal stromal tumor Radiomics Magnetic resonance imaging Overall survival Targeted treatment
Urunga tuihono:	https://doi.org/10.1038/s41598-025-22386-4
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Radiomics models with baseline MRI and clinical data to predict target therapy response and high-risk mortality in metastatic GIST

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