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Year : 2020  |  Volume : 9  |  Issue : 7  |  Page : 3242-3245

Audit of level II scans in a tertiary center of a middle-income country (MIC)

1 Department of Neonatology, Christian Medical College, Vellore, Tamil Nadu, South India
2 Department of Obstetrics and Gynaecology, Christian Medical College, Vellore, Tamil Nadu, South India

Correspondence Address:
Dr. Yenuberi Hilda
Department of Obstetrics and Gynecology Unit- 5 , Christian Medical College, Ida Scudder Road, Vellore - 632 004, Tamil Nadu
South India
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jfmpc.jfmpc_88_20

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Context: Significant anomalies are those that are lethal or those that require prolonged follow-up and unaffordable treatments. Detection of these anomalies allows early termination or the support systems necessary for pregnancies with these diagnoses. Anxiety associated with overdiagnosis makes the woman a victim of modern imaging technology. However, accurate detection of significant anomalies in a busy scan room of a developing country with the need to cater to large numbers is particularly challenging. Aims: The aim was to audit the diagnostic accuracy in a busy scan room. Settings and Design: Retrospective cohort in a tertiary center. Methods and Materials: Audit of significant anomalies identified at the 20-week scan was performed after the expected date of confinement. Anomalies that were missed or overdiagnosed were noted. Statistical Analysis Used: All the categorical variables in this research were summarized using counts and percentages. Results: Twenty-eight thousand women underwent morphology ultrasound during the study period. 963 (3.4%) women were detected to have anomalies at birth. Multiple anomalies were seen in 285 (30%) cases and isolated ones in 678 (70%) cases. Anomalies of the genitourinary system were the commonest followed by the anomalies of central nervous system. Only 53 (0.2%) anomalies were missed. They were mainly syndromes and anomalies of the cardiovascular system. The most significant anomalies that were identified could be diagnosed with a basic ultrasound machine. Conclusions: 910/963 (95%) of significant anomalies can be identified even in busy centers if a systematic assessment approach is ensured.

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