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Is Sonographic Assessment of Fetal Weight Influenced by Formula Selection?
Author(s) -
Burd Irina,
Srinivas Sindhu,
Paré Emmanuelle,
Dharan Vanita,
Wang Eileen
Publication year - 2009
Publication title -
journal of ultrasound in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 91
eISSN - 1550-9613
pISSN - 0278-4297
DOI - 10.7863/jum.2009.28.8.1019
Subject(s) - medicine , fetal weight , selection (genetic algorithm) , fetus , obstetrics , pregnancy , artificial intelligence , genetics , computer science , biology
Objective. Several published formulas exist for the determination of estimated fetal weight (EFW), with limited data on their comparative accuracies. The aims of our study were to assess and compare the performance of different EFW formulas in predicting actual birth weight (BW) in an urban population. Methods. Patients with an EFW determined within 7 days of delivery were considered eligible for the study. Fourteen published formulas, derived from populations comparable to ours, were used to recalculate EFWs from the same initial measurements. The accuracy of the EFWs obtained from the different formulas were compared by percentage error methods using bias and precision and Bland‐Altman limits of agreement methods. Sensitivity and specificity for prediction of being small for gestational age (SGA) were calculated. Results. Eighty‐one fetuses were included in the study. Formula C of Hadlock et al [Hadlock C; log 10 BW = 1.335 − 0.0034(abdominal circumference [AC])(femur length [FL]) + 0.0316(biparietal diameter) + 0.0457(AC) + 0.1623(FL); Am J Obstet Gynecol 1985; 151:333–337] had the best performance according to the bias and precision method. Bland‐Altman limits of agreement confirmed these results. Among the formulas, the sensitivity for detection of SGA ranged from 72% to 100%, and specificity was 41% to 88%. Hadlock C had the optimal sensitivity/specificity trade‐off for detection of SGA. Conclusions. Fourteen formulas showed considerable variation of bias and precision in our population as well as a wide range of sensitivities and specificities for SGA. The choice of the appropriate formula for EFW in a given population should be based on objective and explicit criteria. Consideration of bias and precision for the formula in the population being assessed is critical and may affect clinical care.

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