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Ultrasound estimation of birth weight in twin pregnancy: Comparison of biometry algorithms in the STORK multiple pregnancy cohort

Articolo
Data di Pubblicazione:
2014
Abstract:
Objectives The aims of this study were first, to ascertain the accuracy of formulae for ultrasonographic birth-weight estimation in twin compared with singleton pregnancies and second, to assess the accuracy of sonographic examination in the prediction of birth-weight discordance in twin pregnancies. Methods This was a retrospective cohort study including both singleton and twin pregnancies. Routine biometry was recorded and estimated fetal weight (EFW) calculated using 33 different formulae. Only pregnancies that delivered within 48 h of the ultrasound scan were included (4280 singleton and 586 twin fetuses). Differences between the EFW and actual birth weight (ABW) were assessed by percentage error, accuracy in predictions within ± 10 % and ± 15% of error and use of the Bland-Altman method. The accuracy of prediction of the different cut-offs of birth-weight discordance in twin pregnancies was also assessed using the area under the receiver-operating characteristics curve (AUC). Results The overall mean absolute percentage error was ≤ 10 % for 25 formulae in singleton pregnancies compared with three formulae in twin pregnancies. The overall predictions within ± 10% and ± 15% of the ABW were 62.2% and 81.5% in singleton and 49.7% and 68.5% in twin pregnancies, respectively. When the formulae were categorized according to the biometric parameters included, those based on a combination of head, abdomen and femur measurements showed the lowest mean absolute percentage error, in both singleton and twin pregnancies. The predictive accuracy for 25% birth-weight discordance using the Hadlock 2 formula, as assessed by the AUC, was 0.87. Conclusions Ultrasound estimation of birth weight is less accurate in twin than in singleton pregnancies. Formulae that include a combination of head, abdomen and femur measurements perform best in both singleton and twin pregnancies. Copyright © 2013 ISUOG. Published by John Wiley & Sons Ltd.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
algorithms; biometry; birth weight; formula; twin pregnancy; ultrasound; Algorithms; Biometry; Birth Weight; Cohort Studies; Female; Humans; Predictive Value of Tests; Pregnancy; Pregnancy, Multiple; Pregnancy, Twin; ROC Curve; Retrospective Studies; Ultrasonography, Prenatal
Elenco autori:
Khalil, A.; D'Antonio, F.; Dias, T.; Cooper, D.; Thilaganathan, B.; Hamid, R.; Gandhi, H.; Ellis, C.; Deans, A.; Peregrine, L.; Breeze, A.; Hutt, R.; Bhide, A.; Papageorghiou, A. T.; Matiluko, A.; Egbor, M.; Bahamie, A.; Pakarian, F.
Autori di Ateneo:
D'ANTONIO FRANCESCO
Link alla scheda completa:
https://ricerca.unich.it/handle/11564/742883
Pubblicato in:
ULTRASOUND IN OBSTETRICS & GYNECOLOGY
Journal
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