Determining the optimal pharmacokinetic modelling and simplified quantification method of [18F]AlF-P16-093 for patients with primary prostate cancer (PPCa)-Reference-Cited by-同舟云学术

Determining the optimal pharmacokinetic modelling and simplified quantification method of [18F]AlF-P16-093 for patients with primary prostate cancer (PPCa)

Published:2024-01-29 Issue:7 Volume:51 Page:2124-2133
ISSN:1619-7070
Container-title:European Journal of Nuclear Medicine and Molecular Imaging
language:en
Short-container-title:Eur J Nucl Med Mol Imaging

Author:

Zhao Ruiyue^ORCID,Xia Zeheng,Ke Miao,Lv Jie,Zhong Huizhen,He Yulu,Gu Di,Liu Yongda,Zeng Guohua,Zhu Lin,Alexoff David,Kung Hank F.,Wang Xinlu,Sun Tao

Funder

Guangdong regional joint fund

Guangzhou basic and applied basic research

Science and technology program of Guangzhou

Enhancing scientific research in Guangzhou Medical University

Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education

the Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province

Shenzhen Science and Technology Innovation Committee

Department of Science and Technology of Guangdong Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00259-024-06624-x.pdf

Reference34 articles.

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3. Carlucci G, Ippisch R, Slavik R, Mishoe A, Blecha J, Zhu S. (68)Ga-PSMA-11 NDA approval: a novel and successful academic partnership. J Nucl Med. 2021;62:149–55. https://doi.org/10.2967/jnumed.120.260455.

4. Panebianco V, Villeirs G, Weinreb JC, Turkbey BI, Margolis DJ, Richenberg J, et al. Prostate magnetic resonance imaging for local recurrence reporting (PI-RR): international consensus -based guidelines on multiparametric magnetic resonance imaging for prostate cancer recurrence after radiation therapy and radical prostatectomy. Eur Urol Oncol. 2021;4:868–76. https://doi.org/10.1016/j.euo.2021.01.003.

5. Tomasi G, Turkheimer F, Aboagye E. Importance of quantification for the analysis of PET data in oncology: review of current methods and trends for the future. Mol Imaging Biol. 2012;14:131–46. https://doi.org/10.1007/s11307-011-0514-2.

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