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タイトル: Recent topics of the clinical utility of PET/MRI in oncology and neuroscience
著者: Nakamoto, Yuji  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-5783-8048 (unconfirmed)
Kitajima, Kazuhiro
Toriihara, Akira
Nakajo, Masatoyo
Hirata, Kenji
著者名の別形: 中本, 裕士
キーワード: PET
MRI
FDG
PSMA
AI
発行日: Sep-2022
出版者: Springer Nature
誌名: Annals of Nuclear Medicine
巻: 36
号: 9
開始ページ: 798
終了ページ: 803
抄録: Since the inline positron emission tomography (PET)/magnetic resonance imaging (MRI) system appeared in clinical, more than a decade has passed. In this article, we have reviewed recently-published articles about PET/MRI. There have been articles about staging in rectal and breast cancers by PET/MRI using fluorodeoxyglucose (FDG) with higher diagnostic performance in oncology. Assessing possible metastatic bone lesions is considered a proper target by FDG PET/MRI. Other than FDG, PET/MRI with prostate specific membrane antigen (PSMA)-targeted tracers or fibroblast activation protein inhibitor have been reported. Especially, PSMA PET/MRI has been reported to be a promising tool for determining appropriate sites in biopsy. Independent of tracers, the clinical application of artificial intelligence (AI) for images obtained by PET/MRI is one of the current topics in this field, suggesting clinical usefulness for differentiating breast lesions or grading prostate cancer. In addition, AI has been reported to be helpful for noise reduction for reconstructing images, which would be promising for reducing radiation exposure. Furthermore, PET/MRI has a clinical role in neuroscience, including localization of the epileptogenic zone. PET/MRI with new PET tracers could be useful for differentiation among neurological disorders. Clinical applications of integrated PET/MRI in various fields are expected to be reported in the future.
著作権等: This is a post-peer-review, pre-copyedit version of an article published in 'Annals of Nuclear Medicine'. The final authenticated version is available online at: https://doi.org/10.1007/s12149-022-01780-2.
The full-text file will be made open to the public on 27 July 2023 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/276588
DOI(出版社版): 10.1007/s12149-022-01780-2
PubMed ID: 35896912
出現コレクション:学術雑誌掲載論文等

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