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Clinical value of Ga-68-DOTA-SSTR PET/CT in the diagnosis and detection of neuroendocrine tumors of unknown primary origin: a systematic review and meta-analysis

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单位: [1]Nuclear Medicine Department, Beijing Friendship Hospital of Capital Medical University, Beijing, PR China
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关键词: Meta-analysis neuroendocrine tumors carcinoma unknown primary 68Ga-DOTA-somatostatin receptor positron emission tomography computed tomography

摘要:
Background The ability of Ga-68-DOTA-SSTR to detect the primary sites of neuroendocrine tumors (NETs) remains undetermined, and the clinical benefit of this imaging agent is not clear. Purpose To evaluate the diagnostic accuracy of Ga-68-DOTA-SSTR for carcinoma unknown primary (CUP) neuroendocrine tumors and to further analyze the detection rate of Ga-68-DOTA-SSTR for primary and metastatic sites. Material and Methods A comprehensive literature search of PubMed/MEDLINE and ScienceDirect was performed in October 2019 in accordance with the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines. We critically reviewed all studies based on the PICOS criteria. QUADAS-2 was used to evaluate the quality of the methodology of the included studies. Results A total of 10 studies (484 patients, mean age = 56.6 +/- 4.3 years) were included in the study. The pooled sensitivity and specificity of Ga-68-DOTA-SSTR in identifying CUP-NETs were 82% and 55%, respectively. The area under the receiver operating characteristic curve was 69%. Regarding metastasis sites, Ga-68-DOTA-SSTR found the most metastases in the liver (57.9%), followed by the lymph nodes (22.8%), bones (12.8%), lung (2.8%), and others (1.7%). The pooled detection rate of Ga-68-DOTA-SSTR for CUP-NETs was 61%. Conclusion The present study demonstrated the high diagnostic sensitivity of Ga-68-DOTA-SSTR for CUP-NETs. Ga-68-DOTA-SSTR PET/CT was highly effective in locating the primary and metastatic sites of CUP-NETs.

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出版当年[2020]版:
大类 | 4 区 医学
小类 | 4 区 核医学
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 核医学
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出版当年[2019]版:
Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2019版] 出版当年五年平均[2015-2019] 出版前一年[2018版] 出版后一年[2020版]

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第一作者单位: [1]Nuclear Medicine Department, Beijing Friendship Hospital of Capital Medical University, Beijing, PR China
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通讯机构: [1]Nuclear Medicine Department, Beijing Friendship Hospital of Capital Medical University, Beijing, PR China [*1]Capital Medical University, Affiliated Beijing Friendship Hospital, 95 Yong An Road, Xicheng District, Beijing, 100050 PR China
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