Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/53214
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.date.accessioned | 2020-03-27T10:16:42Z | - |
dc.date.available | 2020-03-27T10:16:42Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Vassallo, M.C. (2019). The diagnostic accuracy of fetal cardiac anomaly scans to postnatal cardiac defects (Master’s dissertation). | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/53214 | - |
dc.description | M.SC.RADIOGRAPHY | en_GB |
dc.description.abstract | Purpose: To evaluate the diagnostic accuracy of routine anomaly ultrasound, performed between 18 to 24 weeks of gestation, in detecting fetal cardiac defects. The antenatal cardiac defects were compared to the gold standard, which was defined as the postnatal echocardiography and the post-mortem findings from autopsy reports. Antenatal detection of congenital heart defects (CHDs) optimises antenatal care and improves perinatal and infant outcomes. This novel study evaluates the sensitivity and specificity of the national anomaly screening programme. Objectives: The objectives included identifying: the number of anomaly scans performed and the number of births in a set timeframe, the number and type of cardiac anomalies detected antenatally on ultrasound and those detected postnatally. The maternal and fetal risk factors for CHDs were also evaluated. Through this data the commonest type of cardiac anomaly in this study was identified and the incidence of CHDs and individual defects was established. Methodology: A hospital based retrospective, observational, quantitative and comparative research method was adopted. The cardiac defects detected on anomaly ultrasound scan, from the initiation of the anomaly screening programme in January 2016 up to August 2018 (with births occurring by January 2019), were compared to the postnatal echoes performed by the Paediatric cardiologist or to the post-mortem findings derived from autopsy results. Data was analysed using both descriptive and inferential statistics. Results: A total of 29 cases of CHD were detected antenatally, from which 28 were confirmed postnatally with complete agreement in 20 cases. The sensitivity of anomaly scans in the detection of CHDs was observed to be 30.43% and the specificity of 99.98%. The positive predictive value (PPV) was observed at 96.55% and the negative predictive value (NPV) at 99.24%. The commonest diagnosed CHD was a ventricular septal defect (VSD) while the incidence of CHDs was 18.15 per 1000 live births. Conclusion: A moderate sensitivity was obtained with an excellent specificity, PPV and NPV. | en_GB |
dc.language.iso | en | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Prenatal diagnosis -- Malta | en_GB |
dc.subject | Fetus -- Disease -- Diagnosis -- Malta | en_GB |
dc.subject | Fetal heart -- Ultrasonic imaging | en_GB |
dc.subject | Newborn infants -- Diseases -- Malta | en_GB |
dc.title | The diagnostic accuracy of fetal cardiac anomaly scans to postnatal cardiac defects | en_GB |
dc.type | masterThesis | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.publisher.institution | University of Malta | en_GB |
dc.publisher.department | Faculty of Health Sciences. Department of Radiography | en_GB |
dc.description.reviewed | N/A | en_GB |
dc.contributor.creator | Vassallo, Marie Claire | - |
Appears in Collections: | Dissertations - FacHSc - 2019 Dissertations - FacHScRad - 2019 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
19MSCRU010.pdf Restricted Access | 2.7 MB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.