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Two‐dimensional fetal biometry versus three‐dimensional fractional thigh volume for ultrasonographic prediction of birthweight
Author(s) -
Sharma K. Aparna,
Das Dipti,
Dadhwal Vatsla,
Deka Dipika,
Singhal Seema,
Vanamail Perumal
Publication year - 2019
Publication title -
international journal of gynecology and obstetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 97
eISSN - 1879-3479
pISSN - 0020-7292
DOI - 10.1002/ijgo.12770
Subject(s) - medicine , population , biparietal diameter , obstetrics , circumference , ultrasonography , regression analysis , head circumference , demography , birth weight , nuclear medicine , statistics , mathematics , pregnancy , surgery , biology , geometry , environmental health , sociology , genetics
Objective To develop and validate birthweight prediction models using fetal fractional thigh volume ( TV ol) in an Indian population, comparing them with existing prediction models developed for other ethnicities. Methods A prospective observational study was conducted among 131 pregnant women (>36 weeks) attending a tertiary hospital in New Delhi, India, for prenatal care between December 1, 2014, and November 1, 2016. Participants were randomly divided into formulating (n=100) and validation (n=31) groups. Multiple regression analysis was performed to generate four models to predict birthweight using various combinations of two‐dimensional (2D) ultrasonographic parameters and a three‐dimensional (3D) ultrasonographic parameter ( TV ol). The best fit model was compared with previously published 2D and 3D models. Results The best fit model comprised biparietal diameter, head circumference, abdominal circumference, and TV ol. This model had the lowest mean percentage error (0.624 ± 8.075) and the highest coefficient of determination ( R 2 =0.660). It correctly predicted 70.2% and 91.6% of birthweights within 5% and 10% of actual weight, respectively. Compared with previous models, attributability for the 2D and 3D models was 0.65 and 0.55, respectively. Accuracy was −0.05 ± 1.007 and −2.54 ± 1.11, respectively. Conclusion Models that included TV ol provided good prediction of birthweight in the target population.