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Application of accelerated quantitative magnetic resonance imaging in predicting drug resistance in pituitary prolactinomas

Author:Rong Lu Lijin Ji Weijun Tang Qing Li Caixia Fu Ying-Hua Chu Zheyuan Wu Tobias Kober Tom Hibert Shangxuan Shi Tingfang Hwang

Session Type:Oral

Session Date:Tuesday, 07 May 2024

Session Name:Tumors in the Brain, Head & Neck

Program Number:0405

Room Session:Nicoll 2

Institution:Application Developments, Siemens Shenzhen Magnetic Resonance Ltd., 518057 Shenzhen, China Huashan Hospital, Fudan University LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL) MR Research Collaboration, Siemens Healthineers Ltd. Shanghai Municipa

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