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Research progress of magnetic resonance imaging artificial intelligence technology in the treatment of pituitary neuroendocrine tumors
WU Jialei  WANG Yubo  LI Xiaofan  LI Yan  TIAN Xubing  ZHANG Yisong  YAN Xun  LUO Da  YANG Bin 

Cite this article as: WU J L, WANG Y B, LI X F, et al. Research progress of magnetic resonance imaging artificial intelligence technology in the treatment of pituitary neuroendocrine tumors[J]. Chin J Magn Reson Imaging, 2024, 15(2): 198-201, 218. DOI:10.12015/issn.1674-8034.2024.02.032.


[Abstract] Pituitary neuroendocrine tumors have high heterogeneity and diverse prognosis. The prognosis varies with different treatment methods. Preoperative prediction of treatment related risks and complications has great significance. Artificial intelligence has been widely used in tumor imaging research, and has achieved remarkable results, and also plays an important role in the diagnosis, treatment and prognosis prediction of pituitary neuroendocrine tumors. This article reviews the progress of artificial intelligence in surgery, medication, and radiation therapy for pituitary neuroendocrine tumors, elaborates on the key role of tumor immune microenvironment in the treatment of pituitary neuroendocrine tumors, explores the application value and limitations of artificial intelligence in the treatment of pituitary neuroendocrine tumors, and provides a foundation for achieving precision medicine of pituitary neuroendocrine tumors.
[Keywords] pituitary neuroendocrine tumors；artificial intelligence；magnetic resonance imaging；tumor immune microenvironment；treatment；prediction

WU Jialei1, 2   WANG Yubo3   LI Xiaofan4   LI Yan4   TIAN Xubing4   ZHANG Yisong4   YAN Xun4   LUO Da4   YANG Bin4*  

1 School of Clinical Medical, Dali University, Dali 671000, China

2 Department of Medical Imaging, Fuwai Yunnan Cardiovascular Hospital, Kunming 650102, China

3 Kunming Medical University, Kunming 650500, China

4 Department of Medical Imaging, the First People's Hospital of Kunming, Kunming 650051, China

Corresponding author: YANG B, E-mail: yangbinapple@163.com

Conflicts of interest   None.

Received  2023-10-13
Accepted  2024-02-02
DOI: 10.12015/issn.1674-8034.2024.02.032
Cite this article as: WU J L, WANG Y B, LI X F, et al. Research progress of magnetic resonance imaging artificial intelligence technology in the treatment of pituitary neuroendocrine tumors[J]. Chin J Magn Reson Imaging, 2024, 15(2): 198-201, 218. DOI:10.12015/issn.1674-8034.2024.02.032.

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