{"title":"胰腺68Ga-FAPI PET/CT非特异性摄取及其相关因素:一项回顾性单中心研究","authors":"Liu Xiao, Liu Yang, Lin Li, Wenjie Zhang","doi":"10.1186/s12885-025-14736-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to analyze the characteristics of non-specific uptake(NSU) of <sup>68</sup>Ga-FAPI in the pancreas and explore potential independent factors associated with its presence on <sup>68</sup>Ga-FAPI PET/CT images.</p><p><strong>Materials: </strong>This retrospective study included 122 patients who underwent <sup>68</sup>Ga-FAPI PET/CT examinations for stage and re-stage of abdominal malignant tumor, dividing patients with pancreatic NSU and patients without pancreatic NSU. Patients with clinical evidence of pancreatitis or pancreas tumor were excluded. Univariate and multivariate regression analysis were used to identify factors associated with pancreatic NSU. ROC curve analysis was used to evaluate optimal cut-off for the presence of pancreatic NSU.</p><p><strong>Results: </strong>A total of 122 patients were included in the final analysis, comprising 42 patients with pancreatic NSU and 80 patients without NSU. The SUVmax was 7.94 ± 5.39 and 2.01 ± 0.50 in NSU and non-NSU group respectively on <sup>68</sup>Ga-FAPI PET/CT. Univariate and multivariate regression analysis identified independent risk factors associated with pancreatic NSU, including diabetes (OR: 6.894, 95% CI: 1.208-39.331, P = 0.03), hematocrit (OR: 0.858, 95% CI: 0.749-0.983, P = 0.027), and CRP (OR: 1.029, 95% CI: 1.009-1.049, P = 0.005). ROC curve analysis determined the optimal cut-off of 17.85 and 37.5 for CRP and hematocrit in predicting NSU in the pancreas on <sup>68</sup>Ga-FAPI PET/CT imaging.</p><p><strong>Conclusion: </strong>Pancreatic diffuse NSU is associated with the presence of diabetes, lower hematocrit levels, and higher CRP levels. These findings may assist clinicians and nuclear medicine physicians in interpreting imaging appearances, helping to avoid misdiagnosis.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1479"},"PeriodicalIF":3.4000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12487178/pdf/","citationCount":"0","resultStr":"{\"title\":\"Non-specific uptake of <sup>68</sup>Ga-FAPI PET/CT in the pancreas and its related factor: a retrospective, single-center study.\",\"authors\":\"Liu Xiao, Liu Yang, Lin Li, Wenjie Zhang\",\"doi\":\"10.1186/s12885-025-14736-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>This study aims to analyze the characteristics of non-specific uptake(NSU) of <sup>68</sup>Ga-FAPI in the pancreas and explore potential independent factors associated with its presence on <sup>68</sup>Ga-FAPI PET/CT images.</p><p><strong>Materials: </strong>This retrospective study included 122 patients who underwent <sup>68</sup>Ga-FAPI PET/CT examinations for stage and re-stage of abdominal malignant tumor, dividing patients with pancreatic NSU and patients without pancreatic NSU. Patients with clinical evidence of pancreatitis or pancreas tumor were excluded. Univariate and multivariate regression analysis were used to identify factors associated with pancreatic NSU. ROC curve analysis was used to evaluate optimal cut-off for the presence of pancreatic NSU.</p><p><strong>Results: </strong>A total of 122 patients were included in the final analysis, comprising 42 patients with pancreatic NSU and 80 patients without NSU. The SUVmax was 7.94 ± 5.39 and 2.01 ± 0.50 in NSU and non-NSU group respectively on <sup>68</sup>Ga-FAPI PET/CT. Univariate and multivariate regression analysis identified independent risk factors associated with pancreatic NSU, including diabetes (OR: 6.894, 95% CI: 1.208-39.331, P = 0.03), hematocrit (OR: 0.858, 95% CI: 0.749-0.983, P = 0.027), and CRP (OR: 1.029, 95% CI: 1.009-1.049, P = 0.005). ROC curve analysis determined the optimal cut-off of 17.85 and 37.5 for CRP and hematocrit in predicting NSU in the pancreas on <sup>68</sup>Ga-FAPI PET/CT imaging.</p><p><strong>Conclusion: </strong>Pancreatic diffuse NSU is associated with the presence of diabetes, lower hematocrit levels, and higher CRP levels. These findings may assist clinicians and nuclear medicine physicians in interpreting imaging appearances, helping to avoid misdiagnosis.</p>\",\"PeriodicalId\":9131,\"journal\":{\"name\":\"BMC Cancer\",\"volume\":\"25 1\",\"pages\":\"1479\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12487178/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12885-025-14736-2\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12885-025-14736-2","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的:本研究旨在分析68Ga-FAPI在胰腺的非特异性摄取(NSU)特征,并探讨其在68Ga-FAPI PET/CT图像上存在的潜在独立因素。资料:本回顾性研究纳入122例经68Ga-FAPI PET/CT检查腹部恶性肿瘤分期及再分期的患者,分为胰腺非肿瘤性病变和非胰腺非肿瘤性病变。排除有胰腺炎或胰腺肿瘤临床证据的患者。采用单因素和多因素回归分析确定与胰腺NSU相关的因素。ROC曲线分析用于评估胰腺NSU存在的最佳临界值。结果:122例患者纳入最终分析,其中42例为胰腺NSU, 80例为非胰腺NSU。68Ga-FAPI PET/CT上,NSU组和非NSU组的SUVmax分别为7.94±5.39和2.01±0.50。单因素和多因素回归分析确定了与胰腺NSU相关的独立危险因素,包括糖尿病(OR: 6.894, 95% CI: 1.208-39.331, P = 0.03)、红细胞压积(OR: 0.858, 95% CI: 0.749-0.983, P = 0.027)和CRP (OR: 1.029, 95% CI: 1.009-1.049, P = 0.005)。ROC曲线分析确定,在68Ga-FAPI PET/CT成像中,CRP和红细胞压积预测胰腺NSU的最佳临界值分别为17.85和37.5。结论:胰腺弥漫性NSU与糖尿病、较低的血细胞比容水平和较高的CRP水平有关。这些发现可以帮助临床医生和核医学医生解释影像学表现,帮助避免误诊。
Non-specific uptake of 68Ga-FAPI PET/CT in the pancreas and its related factor: a retrospective, single-center study.
Purpose: This study aims to analyze the characteristics of non-specific uptake(NSU) of 68Ga-FAPI in the pancreas and explore potential independent factors associated with its presence on 68Ga-FAPI PET/CT images.
Materials: This retrospective study included 122 patients who underwent 68Ga-FAPI PET/CT examinations for stage and re-stage of abdominal malignant tumor, dividing patients with pancreatic NSU and patients without pancreatic NSU. Patients with clinical evidence of pancreatitis or pancreas tumor were excluded. Univariate and multivariate regression analysis were used to identify factors associated with pancreatic NSU. ROC curve analysis was used to evaluate optimal cut-off for the presence of pancreatic NSU.
Results: A total of 122 patients were included in the final analysis, comprising 42 patients with pancreatic NSU and 80 patients without NSU. The SUVmax was 7.94 ± 5.39 and 2.01 ± 0.50 in NSU and non-NSU group respectively on 68Ga-FAPI PET/CT. Univariate and multivariate regression analysis identified independent risk factors associated with pancreatic NSU, including diabetes (OR: 6.894, 95% CI: 1.208-39.331, P = 0.03), hematocrit (OR: 0.858, 95% CI: 0.749-0.983, P = 0.027), and CRP (OR: 1.029, 95% CI: 1.009-1.049, P = 0.005). ROC curve analysis determined the optimal cut-off of 17.85 and 37.5 for CRP and hematocrit in predicting NSU in the pancreas on 68Ga-FAPI PET/CT imaging.
Conclusion: Pancreatic diffuse NSU is associated with the presence of diabetes, lower hematocrit levels, and higher CRP levels. These findings may assist clinicians and nuclear medicine physicians in interpreting imaging appearances, helping to avoid misdiagnosis.
期刊介绍:
BMC Cancer is an open access, peer-reviewed journal that considers articles on all aspects of cancer research, including the pathophysiology, prevention, diagnosis and treatment of cancers. The journal welcomes submissions concerning molecular and cellular biology, genetics, epidemiology, and clinical trials.