Work

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

Year: 2024

Type: conference-paper

Study design: Observational Study

Source: Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

DOI: 10.58530/2024/0405

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

Language: English

Topic: Pituitary Gland Disorders and Treatments

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404748494

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