Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/23923
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dc.contributor.authorAyati, Narjess-
dc.contributor.authorSadeghi, Ramin-
dc.contributor.authorKiamanesh, Zahra-
dc.contributor.authorLee, Sze Ting-
dc.contributor.authorZakavi, S Rasoul-
dc.contributor.authorScott, Andrew M-
dc.date2020-07-29-
dc.date.accessioned2020-08-03T06:35:50Z-
dc.date.available2020-08-03T06:35:50Z-
dc.date.issued2021-02-
dc.identifier.citationEuropean Journal of Nuclear Medicine and Molecular Imaging 2021; 48(2): 428-448-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/23923-
dc.description.abstractTo investigate the ability of 18F-FDG PET/CT to assess the response of patients with metastatic melanoma to immunotherapy. A comprehensive search of the literature for studies examining the prognostic value of 18F-FDG PET/CT in monitoring the response of patients with metastatic melanoma to immunotherapy was performed. We also screened the references of the selected articles to identify any other relevant studies. Detailed data were extracted and categorized. Comprehensive meta-analysis software was used for analysis. Twenty four eligible articles were included in the systematic review. Based on the baseline 18F-FDG PET/CT imaging, the pooled hazard ratios of MTV, SLR, SUV/SULmax, SUV/SULpeak, and TLG for overall survival (OS) were 1.777 (95%CI: 1.389-2.275, p < 0.001), 3.425 (95%CI: 1.707-6.869, p = 0.001), 0.941 (95%CI: 0.599-1.477, p = 0.791), 1.704 (95%CI: 1.253-2.316, p = 0.016), and 1.755 (95%CI: 1.315-2.342, p < 0.001), respectively. The conventional and modified response assessment criteria exhibited a pooled sensitivity of 64% (95%CI: 46-79%) and 94% (95%CI: 81-99%) and a pooled specificity of 80% (95%CI: 59-93%) and 84% (95%CI: 64-95%), respectively, for the early 18F-FDG PET/CT scan. On the other hand, based on the late 18F-FDG PET/CT scan, the pooled sensitivity of 67% (95%CI: 35-90%) and 92% (95%CI: 73-99%) and pooled specificity of 77% (95%CI: 56-91%) and 76% (95%CI: 50-93%) were observed for the conventional and modified criteria, respectively. PET-detectable immune-related adverse events (irAEs) were associated with the response to therapy. The baseline SUVpeak, MTV, and TLG parameters represent promising predictors of the final response of metastatic melanoma patients to immunotherapy. Modified response assessment criteria are potentially an appropriate method for monitoring immunotherapy. irAEs are also valuable for predicting eventual clinical benefit of treatment.-
dc.language.isoeng-
dc.subject18F-FDG PET/CT imaging-
dc.subjectImmune checkpoint inhibitor-
dc.subjectImmunotherapy-
dc.subjectMelanoma-
dc.subjectResponse assessment-
dc.titleThe value of 18F-FDG PET/CT for predicting or monitoring immunotherapy response in patients with metastatic melanoma: a systematic review and meta-analysis.-
dc.typeJournal Article-
dc.identifier.journaltitleEuropean Journal of Nuclear Medicine and Molecular Imaging-
dc.identifier.affiliationNuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran-
dc.identifier.affiliationDepartment of Molecular Imaging and Therapy, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationOlivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationDepartment of Medicine, University of Melbourne, Melbourne, Victoria, Australiaen
dc.identifier.affiliationSchool of Cancer Medicine, La Trobe University, Melbourne, Victoria, Australia-
dc.identifier.doi10.1007/s00259-020-04967-9-
dc.identifier.orcid0000-0002-6656-295X-
dc.identifier.pubmedid32728798-
dc.type.austinJournal Article-
dc.type.austinReview-
local.name.researcherAyati, Narjess
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.grantfulltextnone-
item.languageiso639-1en-
crisitem.author.deptOlivia Newton-John Cancer Research Institute-
crisitem.author.deptMolecular Imaging and Therapy-
crisitem.author.deptMolecular Imaging and Therapy-
crisitem.author.deptOlivia Newton-John Cancer Research Institute-
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