期刊
ULTRASOUND IN OBSTETRICS & GYNECOLOGY
卷 45, 期 5, 页码 516-522出版社
WILEY
DOI: 10.1002/uog.14752
关键词
diagnostic accuracy; ultrasound; vasa previa
资金
- Academic Medical Centre in Amsterdam, The Netherlands
ObjectiveVasa previa is an obstetric complication in which the fetal blood vessels lie outside the chorionic plate in close proximity to the internal cervical os. In women with vasa previa, the risk of rupture of these vessels is increased, thus potentially causing fetal death or serious morbidity. Our objective was to assess the accuracy of ultrasound in the prenatal diagnosis of vasa previa. MethodsWe searched MEDLINE, EMBASE, the Cochrane Library and PubMed for studies on vasa previa. Two reviewers independently selected studies on the accuracy of ultrasound in the diagnosis of vasa previa. The studies were scored on methodological quality using the Quality Assessment of Diagnostic Accuracy Studies tool (QUADAS-2). Data on sensitivity and specificity were subsequently extracted. ResultsThe literature search revealed 583 articles, of which two prospective and six retrospective cohort studies were eligible for inclusion in the qualitative analysis. All studies documented methods suitable for the prenatal diagnosis of vasa previa. Four out of the eight studies used transvaginal ultrasound (TVS) for primary evaluation, while the remaining four studies used transabdominal ultrasound and performed a subsequent TVS when vasa previa was suspected. The QUADAS-2 tool reflected poor methodology in six of the eight included studies, and prenatal detection rates varied from 53% (10/19) to 100% (total of 442633 patients, including 138 cases of vasa previa). In the two prospective studies (n=33795, including 11 cases of vasa previa), transvaginal color Doppler performed during the second trimester detected all cases of vasa previa (sensitivity, 100%) with a specificity of 99.0-99.8%. ConclusionThe accuracy of ultrasound in the diagnosis of vasa previa is high when performed transvaginally in combination with color Doppler. Copyright (c) 2014 ISUOG. Published by John Wiley & Sons Ltd.
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