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Diagnostic Efficiency of Magnetic Resonance Spectroscopy and Diffusion Weighted Imaging for Prostate Cancer: A Meta-analysis / 中国医学影像学杂志
Chinese Journal of Medical Imaging ; (12): 711-715, 2017.
Article in Chinese | WPRIM | ID: wpr-706393
ABSTRACT
Purpose To investigate the diagnostic value of magnetic resonance spectroscopy (MRS) and diffusion weighted imaging (DWI) in diagnosing prostate cancer among Chinese patients.Materials and Methods A Meta-analysis was performed on papers relating to diagnostic value of MRS and DWI in Chinese patients with prostate cancer for the recently ten years using Review Manager 5.2 and Meta-Disc software.QUADAS was employed to assess the quality of qualified articles based on the calculated sensitivity,specificity,diagnostic odds ratio and area under the receiver operating characteristic (ROC) curve of MRS and DWI.Results Ten relevant literatures were enrolled.Heterogeneity of sensitivity and specificity was excluded in accordance to results of Meta-analysis,and hence the combination was feasible.The combination results indicated that AUC of ROC for DWI and MRS were 0.8979 and 0.9302,respectively;sensitivity was 0.83 and 0.87,respectively;specificity was 0.84 and 0.86,respectively;DOR was 22.71 and 41.31,respectively.Conclusion MRS is higher than DWI in terms of diagnostic value of prostate cancer as well as its sensitivity and specificity.When prostate cancer is untypical in DWI findings or not clear in its diagnosis,MRI results can be further consulted.This paper investigated the value of DWI and MRS in diagnosing prostate cancer through quantitative system evaluation,providing evidence-based medicine reference for using imaging methods to diagnose prostate cancer.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study / Systematic reviews Language: Chinese Journal: Chinese Journal of Medical Imaging Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study / Systematic reviews Language: Chinese Journal: Chinese Journal of Medical Imaging Year: 2017 Type: Article