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Choice of Formula and Accuracy of Fetal Weight Estimation in Small‐for‐Gestational‐Age Fetuses
Author(s) -
Melamed Nir,
Ryan Greg,
Windrim Rory,
Toi Ants,
Kingdom John
Publication year - 2016
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/ultra.15.02058
Subject(s) - medicine , fetus , fetal weight , small for gestational age , birth weight , gestational age , estimation , obstetrics , weight estimation , pregnancy , statistics , mathematics , genetics , management , economics , biology
Objectives The purpose of this study was to identify the most accurate sonographic models for fetal weight estimation in specific subgroups of small‐for‐gestational‐age (SGA) fetuses. Methods We conducted a retrospective study of women who delivered an SGA neonate and underwent a sonographic estimation of fetal weight within 7 days of delivery in a single tertiary center (n = 370). The accuracy of fetal weight estimation was compared for 33 sonographic models (27 nontargeted and 6 targeted SGA– or low‐birth‐weight–specific models) in specific subgroups of SGA fetuses: early versus late SGA, asymmetric versus symmetric, and presence of Doppler abnormalities. Results A wide variation in the accuracy of the different models was found (systematic error, −12.5% to 15.1%; random error, 7.8% to 15.5%). Most nontargeted models tended to systematically overestimate the weight of SGA fetuses. The best performing model in the overall SGA group was the targeted model of Scott et al ( J Ultrasound Med 1996; 15:669–672; systematic error ± random error, −2.8% ± 8.3%). However, the optimal models varied for different subgroups of SGA fetuses, and in most cases the targeted models were the most accurate. An approach that used the optimal model for each subgroup of SGA fetuses compared with the uniform use of the model of Scott et al for all SGA fetuses was associated with a lower systematic error (−0.38% versus −2.8%; P < .001) and a higher proportion of weight estimations within 5%, 10%, and 15% of birth weight (48.4% versus 40.8%; P = .038; 78.6% versus 71.4%; P = .022; 95.1% versus 89.2%; P = .003, respectively). Conclusions Sonographic models in current use for fetal weight estimation in SGA fetuses have significant errors, and their performance varies for specific subgroups of SGA fetuses. An approach that uses subgroup‐specific models may improve the accuracy of weight estimation among SGA fetuses.