Literature DB >> 27383216

Influence of Four Radiotracers in PET/CT on Diagnostic Accuracy for Prostate Cancer: A Bivariate Random-Effects Meta-Analysis.

Junzhong Liu1, Zhongfeng Chen, Tianyu Wang, Li Liu, Lei Zhao, Guangtao Guo, Dongqing Wang.   

Abstract

BACKGROUND/AIMS: To date, several positron emission tomography/computed tomography (PET/CT) radiotracers including fluorine-18 fluorodeoxyglucose (18F-FDG), carbon-11 labeled choline (11C-choline), 18-F fluorocholine (18F-FCH) and carbon-11 acetate (11C-acetate) have already been assessed in the application of prostate cancer (PCa) diagnosis to some extent, the diagnostic efficiency of these radiotracers still remain controversial. As a result of this, we carried out this meta-analysis for the purpose of comparing the diagnostic accuracy among four PET/CT radiotracers.
METHODS: A systematical literature search for articles was performed until July 3, 2015. We implemented all analysis using the statistical software of STATA12 and quality assessment was performed using QUADAS-2.
RESULTS: A total of 56 studies containing 3,586 patients were included in this meta-analysis. Parameter estimates of the overall analysis are as follows: sensitivity, 0.80 (95% CI: 0.74-0.85); specificity, 0.84 (95% CI: 0.77-0.89) and area under roc curve-AUC of SROC, 0.89 (95% CI: 0.86-0.91), indicating a relatively high level of accuracy in diagnosis of PCa. When different radiotracers of PET/CT were compared, 18F-FCH-PET/CT was ranked as the most favorable with the highest value of AUC (AUC = 0.94; 95% CI: 0.92-0.96) whereas 18F-FDG was the least favorable (AUC = 0.73, 95% CI: 0.69-0.77).
CONCLUSION: This study suggested that PET/CT imaging plays an invaluable role in the diagnosis of PCa and 18F-FCH-PET/CT was considered as a superior diagnostic tool over other radiotracers. More attention should be paid to the diagnostic efficiency of the four radiotracers particularly for PCa patients with different clinical stages.
© 2016 The Author(s) Published by S. Karger AG, Basel.

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Year:  2016        PMID: 27383216     DOI: 10.1159/000445639

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  7 in total

Review 1.  PET imaging of recurrent and metastatic prostate cancer with novel tracers.

Authors:  Francesca V Mertan; Liza Lindenberg; Peter L Choyke; Baris Turkbey
Journal:  Future Oncol       Date:  2016-08-16       Impact factor: 3.404

Review 2.  Trends in oncologic hybrid imaging.

Authors:  Andreas G Wibmer; Hedvig Hricak; Gary A Ulaner; Wolfgang Weber
Journal:  Eur J Hybrid Imaging       Date:  2018-01-19

3.  Downregulation of miR‑224‑5p in prostate cancer and its relevant molecular mechanism via TCGA, GEO database and in silico analyses.

Authors:  Bin-Liang Gan; Li-Jie Zhang; Li Gao; Fu-Chao Ma; Rong-Quan He; Gang Chen; Jie Ma; Jin-Cai Zhong; Xiao-Hua Hu
Journal:  Oncol Rep       Date:  2018-10-03       Impact factor: 3.906

4.  Prognostic Value of 18F-Fluorocholine PET Parameters in Metastatic Castrate-Resistant Prostate Cancer Patients Treated with Docetaxel.

Authors:  E Quaquarini; D D'Ambrosio; F Sottotetti; F Gallivanone; M Hodolic; P Baiardi; R Palumbo; C Vellani; C Canevari; A Bernardo; I Castiglioni; C Porta; G Trifirò
Journal:  Contrast Media Mol Imaging       Date:  2019-03-26       Impact factor: 3.161

Review 5.  Molecular Mechanisms Related with Oligometastatic Prostate Cancer-Is It Just a Matter of Numbers?

Authors:  Cristian Surcel; Alexander Kretschmer; Cristian Mirvald; Ioanel Sinescu; Isabel Heidegger; Igor Tsaur
Journal:  Cancers (Basel)       Date:  2022-02-01       Impact factor: 6.639

Review 6.  Positron emission tomography (PET) in primary prostate cancer staging and risk assessment.

Authors:  Sandra Bednarova; Maria L Lindenberg; Maria Vinsensia; Chiara Zuiani; Peter L Choyke; Baris Turkbey
Journal:  Transl Androl Urol       Date:  2017-06

7.  Expression of microRNA-99a-3p in Prostate Cancer Based on Bioinformatics Data and Meta-Analysis of a Literature Review of 965 Cases.

Authors:  Hai-Biao Yan; Yu Zhang; Jie-Mei Cen; Xiao Wang; Bin-Liang Gan; Jia-Cheng Huang; Jia-Yi Li; Qian-Hui Song; Sheng-Hua Li; Gang Chen
Journal:  Med Sci Monit       Date:  2018-07-12
  7 in total

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