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Can I read Diagnostic performance of breast tumor tissue selection in diffusion weighted imaging: A systematic review and meta-analysis on EtoBox?
Diagnostic performance of breast tumor tissue selection in diffusion weighted imaging: A systematic review and meta-analysis by Wielema, M.; Dorrius, M. D.; Pijnappel, R. M.; De Bock, G. H.; Baltzer, P. A. T.; Oudkerk, M.; Sijens, P. E.; Jiang, Quan is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Diagnostic performance of breast tumor tissue selection in diffusion weighted imaging: A systematic review and meta-analysis about?
## Background Several methods for tumor delineation are used in literature on breast diffusion weighted imaging (DWI) to measure the apparent diffusion coefficient (ADC). However, in the process of reaching consensus on breast DWI scanning protocol, image analysis and interpretation, still no standardized optimal breast tumor tissue selection (BTTS) method exists. Therefore, the purpose of this study is to assess the impact of BTTS methods on ADC in the discrimination of benign from malignant breast lesions in DWI in terms of sensitivity, specificity and area under the curve (AUC). ## Methods and findings In this systematic review and meta-analysis, adhering to the PRISMA statement, 61 studies, with 65 study subsets, in females with benign or malignant primary breast lesions (6291 lesions) were assessed. Studies on DWI, quantified by ADC, scanned on 1.5 and 3.0 Tesla and using b-values 0/50 and ≥ 800 s/mm^2^ were included. PubMed and EMBASE were searched for studies up to 23-10-2019 (n = 2897). Data were pooled based on four BTTS methods (by definition of measured region of interest, ROI): BTTS1: whole breast tumor tissue selection, BTTS2: subtracted whole breast tumor tissue selec
Who reads Diagnostic performance of breast tumor tissue selection in diffusion weighted imaging: A systematic review and meta-analysis?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Wielema, M.; Dorrius, M. D.; Pijnappel, R. M.; De Bock, G. H.; Baltzer, P. A. T.; Oudkerk, M.; Sijens, P. E.; Jiang, Quan
- Publisher
- Public Library of Science; San Francisco CA: Public Library of Science; Publons; ScienceOpen; Public Library of Science (PLoS) (ISSN 1932-6203)
- Published
- 2020
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)