Haiqun Xing, Wenjia Zhu, Yue-juan Cheng, Qiao Yang, R. Jia, Hongguang Zhao, C. Bai, Li Huo, Wenming Wu
{"title":"拮抗肽和螯合剂对使用镓-68标记生长抑素受体拮抗剂的PET/CT诊断性能的影响","authors":"Haiqun Xing, Wenjia Zhu, Yue-juan Cheng, Qiao Yang, R. Jia, Hongguang Zhao, C. Bai, Li Huo, Wenming Wu","doi":"10.1097/JP9.0000000000000101","DOIUrl":null,"url":null,"abstract":"Objective: Different SSTR2 antagonists have been developed. This study aims to evaluate the impact of different peptides and chelators on the diagnostic performance of SSTR2 antagonists in well-differentiated NETs. Methods: In this prospective study, participants were equally randomized into 2 arms: arm A, participants would undergo a whole-body 68Ga-NODAGA-LM3 PET/CT scan on the first day and 68Ga-DOTA-LM3 PET/CT scan on the second day; arm B, participants would undergo a whole-body 68Ga-NODAGA-LM3 PET/CT scan on the first day and 68Ga-NODAGA-JR11 PET/CT scan on the second day. Biodistribution in normal organs, lesion detection ability, and tumor uptakes were compared within each arm. Results: A total of 40 participants (age, 49.5 ± 13.4, 21 men), 20 in each arm, were recruited in the study. In arm A, 68Ga-DOTA-LM3 showed lower background. However, the lesion detection ability (overall lesion detected, 445 vs 548; P = .005) and the lesion uptake (overall lesions SUVmax, 19.8 ± 17.2 vs 35.3 ± 28.8; P < .001) was significantly lower than those of 68Ga-NODAGA-LM3. In arm B, both 68Ga-NODAGA-LM3 and 68Ga-NODAGA-JR11 showed similar biodistribution and lesion uptake (SUVmax, 28.5 ± 23.8 vs 25.0 ± 20.0; P < .001) despite minor differences. The lesion detection ability was the same between these 2 tracers (overall lesion detected, 503 vs 503). Conclusions: The diagnostic performance of SSTR2 antagonists was sensitive to chelators. Both 68Ga-NODAGA-LM3 and 68Ga-NODAGA-JR11 outperformed 68Ga-DOTA-LM3 with higher lesion uptake and detection ability, of which 68Ga-NODAGA-LM3 had marginally but significantly higher lesion uptake.","PeriodicalId":92925,"journal":{"name":"Journal of pancreatology","volume":"6 1","pages":"28 - 33"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of antagonist peptides and chelators on the diagnostic performance of PET/CT using gallium-68–labeled somatostatin receptor antagonists\",\"authors\":\"Haiqun Xing, Wenjia Zhu, Yue-juan Cheng, Qiao Yang, R. Jia, Hongguang Zhao, C. Bai, Li Huo, Wenming Wu\",\"doi\":\"10.1097/JP9.0000000000000101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: Different SSTR2 antagonists have been developed. This study aims to evaluate the impact of different peptides and chelators on the diagnostic performance of SSTR2 antagonists in well-differentiated NETs. Methods: In this prospective study, participants were equally randomized into 2 arms: arm A, participants would undergo a whole-body 68Ga-NODAGA-LM3 PET/CT scan on the first day and 68Ga-DOTA-LM3 PET/CT scan on the second day; arm B, participants would undergo a whole-body 68Ga-NODAGA-LM3 PET/CT scan on the first day and 68Ga-NODAGA-JR11 PET/CT scan on the second day. Biodistribution in normal organs, lesion detection ability, and tumor uptakes were compared within each arm. Results: A total of 40 participants (age, 49.5 ± 13.4, 21 men), 20 in each arm, were recruited in the study. In arm A, 68Ga-DOTA-LM3 showed lower background. However, the lesion detection ability (overall lesion detected, 445 vs 548; P = .005) and the lesion uptake (overall lesions SUVmax, 19.8 ± 17.2 vs 35.3 ± 28.8; P < .001) was significantly lower than those of 68Ga-NODAGA-LM3. In arm B, both 68Ga-NODAGA-LM3 and 68Ga-NODAGA-JR11 showed similar biodistribution and lesion uptake (SUVmax, 28.5 ± 23.8 vs 25.0 ± 20.0; P < .001) despite minor differences. The lesion detection ability was the same between these 2 tracers (overall lesion detected, 503 vs 503). Conclusions: The diagnostic performance of SSTR2 antagonists was sensitive to chelators. Both 68Ga-NODAGA-LM3 and 68Ga-NODAGA-JR11 outperformed 68Ga-DOTA-LM3 with higher lesion uptake and detection ability, of which 68Ga-NODAGA-LM3 had marginally but significantly higher lesion uptake.\",\"PeriodicalId\":92925,\"journal\":{\"name\":\"Journal of pancreatology\",\"volume\":\"6 1\",\"pages\":\"28 - 33\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of pancreatology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/JP9.0000000000000101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of pancreatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/JP9.0000000000000101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of antagonist peptides and chelators on the diagnostic performance of PET/CT using gallium-68–labeled somatostatin receptor antagonists
Objective: Different SSTR2 antagonists have been developed. This study aims to evaluate the impact of different peptides and chelators on the diagnostic performance of SSTR2 antagonists in well-differentiated NETs. Methods: In this prospective study, participants were equally randomized into 2 arms: arm A, participants would undergo a whole-body 68Ga-NODAGA-LM3 PET/CT scan on the first day and 68Ga-DOTA-LM3 PET/CT scan on the second day; arm B, participants would undergo a whole-body 68Ga-NODAGA-LM3 PET/CT scan on the first day and 68Ga-NODAGA-JR11 PET/CT scan on the second day. Biodistribution in normal organs, lesion detection ability, and tumor uptakes were compared within each arm. Results: A total of 40 participants (age, 49.5 ± 13.4, 21 men), 20 in each arm, were recruited in the study. In arm A, 68Ga-DOTA-LM3 showed lower background. However, the lesion detection ability (overall lesion detected, 445 vs 548; P = .005) and the lesion uptake (overall lesions SUVmax, 19.8 ± 17.2 vs 35.3 ± 28.8; P < .001) was significantly lower than those of 68Ga-NODAGA-LM3. In arm B, both 68Ga-NODAGA-LM3 and 68Ga-NODAGA-JR11 showed similar biodistribution and lesion uptake (SUVmax, 28.5 ± 23.8 vs 25.0 ± 20.0; P < .001) despite minor differences. The lesion detection ability was the same between these 2 tracers (overall lesion detected, 503 vs 503). Conclusions: The diagnostic performance of SSTR2 antagonists was sensitive to chelators. Both 68Ga-NODAGA-LM3 and 68Ga-NODAGA-JR11 outperformed 68Ga-DOTA-LM3 with higher lesion uptake and detection ability, of which 68Ga-NODAGA-LM3 had marginally but significantly higher lesion uptake.