Correlation between the Uptake of 18F-Fluorodeoxyglucose (18F-FDG) and the Expression of Proliferation-Associated Antigen Ki-67 in Cancer Patients: A Meta-Analysis

作者: Sheng-ming Deng , Wei Zhang , Bin Zhang , Yin-yin Chen , Ji-hui Li

DOI: 10.1371/JOURNAL.PONE.0129028

关键词:

摘要: Objective To study the correlation between 18F-FDG uptake and cell proliferation in cancer patients by meta-analysis of published articles. Methods We searched PubMed (MEDLINE included), EMBASE, Cochrane Database Systematic Review, selected research articles on relationship Ki-67 expression (published August 1, 1994-August 2014), according to literature inclusion exclusion criteria. The publishing language was limited English. quality included evaluated Quality Assessment Diagnosis Accuracy Studies-2 (QUADAS-2). coefficient (r) extracted from processed Fisher's r-to-z transformation. combined 95% confidence interval (CI) were calculated with STATA 11.0 software under a random-effects model. Begg's test used analyze existence publication bias draw funnel plot, sources heterogeneity explored sensitivity subgroup analyses. Results According criteria, 79 finally included, including 81 studies involving total 3242 patients. All had r 0.44 (95% CI, 0.41-0.46), but significant (I2 = 80.9%, P<0.01). Subgroup analysis for different tumor types indicated that most subgroups showed reduced heterogeneity. Malignant melanoma (n 1) minimum (-0.22) expression, while thymic epithelial tumors (TETs; n 2) maximum 0.81. analytical results confirmed extremely TETs, gastrointestinal stromal (GISTs), moderate lung, breast, bone soft tissue, pancreatic, oral, thoracic, uterine ovarian cancers, average brain, esophageal colorectal poor head neck, thyroid, gastric malignant tumors. positron emission tomography (PET) or PET/CT imaging technology standardized value (SUV) measurement did not significantly affect values, no bias. Conclusion In patients, positive proliferation. Different exhibited varied degree correlation, TETs GSTs. However, our need further validation clinical trials large sample types.

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