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Comprehensive meta analysis auroc
Comprehensive meta analysis auroc




comprehensive meta analysis auroc

Results: Sixteen eligible studies incorporating 1,636 patients were included. Publication bias and heterogeneity between studies were also assessed using Stata 12.0. The pooled sensitivity, specificity, and area under the curve (AUC) were calculated with a bivariate model. Standardized mean differences and 95% confidence intervals of fractional anisotropy (FA), mean diffusivity (MD), and three diffusion eigenvalues (λ1, λ2, and λ3) were calculated using Review Manager 5.2. Materials and Methods: The studies that assessed the diagnostic performance of DTI parameters in the breast were searched in Embase, PubMed, and Cochrane Library between January 2010 and September 2019. This meta-analysis aims to pool relevant evidences and evaluate the diagnostic performance of DTI in the differential diagnosis of malignant and benign breast lesions. The clinical guideline of DTI used in the breast has not been established. Rationale and Objectives: Controversy still exists on the diagnosability of diffusion tensor imaging (DTI) for breast lesions characterization across published studies.

comprehensive meta analysis auroc comprehensive meta analysis auroc

  • 3Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • 2Department of Medical Imaging, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • 1Department of Medical Imaging, Shanxi DAYI Hospital, Taiyuan, China.
  • Kai Wang 1 †, Zhipeng Li 2 †, Zhifeng Wu 1, Yucong Zheng 1, Sihui Zeng 2 *, Linning E 1 * and Jianye Liang 3 *






    Comprehensive meta analysis auroc