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Erschienen in: Archives of Gynecology and Obstetrics 1/2015

01.01.2015 | Maternal-Fetal Medicine

Statistical limits in sonographic estimation of birth weight

verfasst von: Marco Scioscia, Floriano Scioscia, Gaetano Scioscia, Stefano Bettocchi

Erschienen in: Archives of Gynecology and Obstetrics | Ausgabe 1/2015

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Abstract

Purpose

The accuracy of sonographic estimation of birth weight (EBW) is compromised by the precision of the biometrical measurements and the quality of the algorithms. This prospective study was to evaluate technical aspects to derive new equations for the EBW.

Methods

Three consecutive phases were carried out (1) to recruit a homogenous population, (2) to derive eight new algorithms using a multiple stepwise mathematical/statistical method, and (3) to test the accuracy of the developed equations. Only those patients with a singleton pregnancy who delivered within 48 h from the scan were considered for the analysis.

Results

The study population was made of 473 women. Four polynomial, two square root and two logarithmic algorithms were derived from a balanced study group of 200 women selected from the original study population. These formulas were subsequently applied and compared between them and showed a significant correlation with birth weight (p < 0.0001) and satisfactory statistical performances (r > 0.9), nevertheless they performed similarly to other equations previously published.

Conclusions

The present findings define better the limitations associated with the intrinsic properties of algorithms and highlight that the possibility to improve the precision of sonographic measurements remains the only point at issue to increase the accuracy in the prediction of birth weight.
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Metadaten
Titel
Statistical limits in sonographic estimation of birth weight
verfasst von
Marco Scioscia
Floriano Scioscia
Gaetano Scioscia
Stefano Bettocchi
Publikationsdatum
01.01.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Archives of Gynecology and Obstetrics / Ausgabe 1/2015
Print ISSN: 0932-0067
Elektronische ISSN: 1432-0711
DOI
https://doi.org/10.1007/s00404-014-3384-4

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