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Artificial intelligence-enabled opportunistic identification of immune checkpoint inhibitor-related adverse events using [F]FDG PET/CT.

作者信息

Spielvogel Clemens P, Lazarevic Aleksa, Zisser Lucia, Haberl David, Eseroglou Christophoros, Beer Lucian, Hacker Marcus, Calabretta Raffaella

机构信息

Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Spitalgasse 23, Vienna, A-1090, Austria.

Division of General and Pediatric Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.

出版信息

Eur J Nucl Med Mol Imaging. 2025 May 29. doi: 10.1007/s00259-025-07364-2.

DOI:10.1007/s00259-025-07364-2
PMID:40439712
Abstract
摘要

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Lancet Digit Health. 2025 Feb;7(2):e104-e105. doi: 10.1016/j.landig.2024.12.006.
3
EANM/SNMMI guideline/procedure standard for [F]FDG hybrid PET use in infection and inflammation in adults v2.0.
欧洲核医学协会/美国核医学与分子影像学会关于成人感染与炎症中[F]FDG 混合正电子发射断层显像应用的指南/程序标准 v2.0
Eur J Nucl Med Mol Imaging. 2025 Jan;52(2):510-538. doi: 10.1007/s00259-024-06915-3. Epub 2024 Oct 10.
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Quantitative evaluation of lesion response heterogeneity for superior prognostication of clinical outcome.定量评估病变反应异质性以更好地预测临床结局。
Eur J Nucl Med Mol Imaging. 2024 Oct;51(12):3505-3517. doi: 10.1007/s00259-024-06764-0. Epub 2024 May 31.
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J Clin Oncol. 2021 Dec 20;39(36):4073-4126. doi: 10.1200/JCO.21.01440. Epub 2021 Nov 1.