A systematic review and meta-analysis to determine the contribution of mr imaging to the diagnosis of foetal brain abnormalities In Utero
Jarvis, Debbie; Mooney, Cara; Cohen, Judith; Papaioannou, Diana; Bradburn, Mike; Sutton, Anthea; Griffiths, Paul D.
Paul D. Griffiths
This systematic review was undertaken to define the diagnostic performance of in utero MR (iuMR) imaging when attempting to confirm, exclude or provide additional information compared with the information provided by prenatal ultrasound scans (USS) when there is a suspicion of foetal brain abnormality.
Electronic databases were searched as well as relevant journals and conference proceedings. Reference lists of applicable studies were also explored. Data extraction was conducted by two reviewers independently to identify relevant studies for inclusion in the review. Inclusion criteria were original research that reported the findings of prenatal USS and iuMR imaging and findings in terms of accuracy as judged by an outcome reference diagnosis for foetal brain abnormalities.
34 studies met the inclusion criteria which allowed diagnostic accuracy to be calculated in 959 cases, all of which had an outcome reference diagnosis determined by postnatal imaging, surgery or autopsy. iuMR imaging gave the correct diagnosis in 91 % which was an increase of 16 % above that achieved by USS alone.
iuMR imaging makes a significant contribution to the diagnosis of foetal brain abnormalities, increasing the diagnostic accuracy achievable by USS alone.
|Journal Article Type||Article|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Jarvis, D., Mooney, C., Cohen, J., Papaioannou, D., Bradburn, M., Sutton, A., & Griffiths, P. D. (2017). A systematic review and meta-analysis to determine the contribution of mr imaging to the diagnosis of foetal brain abnormalities In Utero. European Radiology, 27(6), 2367-2380. https://doi.org/10.1007/s00330-016-4563-4|
|Keywords||Ultrasound; Prenatal diagnosis; Magnetic resonance imaging; Foetal brain malformations|
© The Author(s) 2016
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