OBJECTIVE: To compare the predictive accuracy of foetal trans-cerebellar diameter (TCD) with those of other biometric parameters in the estimation of gestational age (GA). DESIGN: A cross-sectional study. SETTING: The University of Benin Teaching Hospital, Nigeria. SUBJECTS: Four hundred and fifty healthy singleton pregnant women, between 14-42 weeks gestation. MAIN OUTCOME MEASURES: Trans-cerebellar diameter (TCD), biparietal diameter (BPD), femur length (FL), abdominal circumference (AC) values across the gestational age range studied. Correlation and predictive values of TCD compared to those of other biometric parameters. RESULTS: The range of values for TCD was 11.9 - 59.7mm (mean = 34.2 ± 14.1mm). TCD correlated more significantly with menstrual age compared with other biometric parameters (r = 0.984, p = 0.000). TCD had a higher predictive accuracy of 96.9% ± 12 days), BPD (93.8% ± 14.1 days). AC (92.7% ± 15.3 days). CONCLUSION: TCD has a stronger predictive accuracy for gestational age compared to other routinely used foetal biometric parameters among Nigerian Africans.
OBJECTIVE: To compare the predictive accuracy of foetal trans-cerebellar diameter (TCD) with those of other biometric parameters in the estimation of gestational age (GA). DESIGN: A cross-sectional study. SETTING: The University of Benin Teaching Hospital, Nigeria. SUBJECTS: Four hundred and fifty healthy singleton pregnant women, between 14-42 weeks gestation. MAIN OUTCOME MEASURES: Trans-cerebellar diameter (TCD), biparietal diameter (BPD), femur length (FL), abdominal circumference (AC) values across the gestational age range studied. Correlation and predictive values of TCD compared to those of other biometric parameters. RESULTS: The range of values for TCD was 11.9 - 59.7mm (mean = 34.2 ± 14.1mm). TCD correlated more significantly with menstrual age compared with other biometric parameters (r = 0.984, p = 0.000). TCD had a higher predictive accuracy of 96.9% ± 12 days), BPD (93.8% ± 14.1 days). AC (92.7% ± 15.3 days). CONCLUSION:TCD has a stronger predictive accuracy for gestational age compared to other routinely used foetal biometric parameters among Nigerian Africans.
Authors: Gabriela Luiza Nogueira Vitral; Regina Amélia P Lopes Aguiar; Ingrid Michelle Fonseca de Souza; Maria Albertina Santiago Rego; Rodney Nascimento Guimarães; Zilma Silveira Nogueira Reis Journal: PLoS One Date: 2018-04-26 Impact factor: 3.240