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USPIO-enhanced MRI for lymph-node metastases from abdominal and pelvic malignancies: Meta-analysis / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 254-259, 2018.
Article Dans Chinois | WPRIM | ID: wpr-706219
ABSTRACT
Objective To investigate value of ultrasmall superparamagnetic iron oxide (USPIO)-enhanced MRI in diagnosis of lymph node metastasis from abdominal and pelvic malignancies with Meta-analysis.Methods A systematic search was conducted in PubMed,Embase,Cochrane Library,Wanfang,VIP and CNKI databases.The literature were screened according to inclusion and exclusion criteria,and four tabular data were extracted.With Meta Disc version 1.4 and STATA 11.0 software,statistical analysis was performed and heterogeneity of the included articles was tested.Based on the result of heterogeneity test,proper effect model was selected to calculate the pooled sensitivity and specificity.Summary receiver operating characteristics curve was obtained,and the area under curve (AUC) was calculated.Results Totally 20 English literature were enrolled,including 1 211 patients and 3 583 lymph nodes.The pooled sensitivity and specificity for USPIO-enhanced MRI in diagnosis of lymph node metastasis was 0.89 (95%CI [0.86,0.91]) and 0.96 (95 %CI [0.95,0.96]),and AUC was 0.98,respectively.Regression analysis revealed that the heterogeneity may result from the location of tumors,and subgroup analysis showed that pooled sensitivity in diagnosis of lymph node metastasis in abdominal malignancies was good.Conclusion USPIO-enhanced MRI has good diagnostic efficacy in diagnosis of lymph node metastasis from abdominal and pelvic malignancies.

Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Type d'étude: Étude pronostique / Revues systématiques évaluées langue: Chinois Texte intégral: Chinese Journal of Medical Imaging Technology Année: 2018 Type: Article

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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Type d'étude: Étude pronostique / Revues systématiques évaluées langue: Chinois Texte intégral: Chinese Journal of Medical Imaging Technology Année: 2018 Type: Article