caa a22 4500 445307285 CHVBK 20180317142617.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s00404-010-1390-8 doi (NATIONALLICENCE)springer-10.1007/s00404-010-1390-8 A new algorithm for improving fetal weight estimation from ultrasound data at term [Elektronische Daten] [W. Siggelkow, M. Schmidt, C. Skala, D. Boehm, S. von Forstner, H. Koelbl, A. Tresch] Objective: The purpose of this retrospective study was to find a method of improving the accuracy of fetal birth weight estimation on the basis of traditional ultrasonographic measurements of the head, thorax, and femur at term. In this context, we analyzed a novel regression method comparing to existing algorithms. Methods: The delivery records of two hospitals were searched for women who delivered macrosomic infants, and the patients' medical records were retrospectively reviewed in order to derive clinical and ultrasonographic data at term. A total of 223 patients with macrosomic infants (birth weight>4,000g) were identified. These patients were complemented by data for 212 women who had ultrasound fetal assessments of less than 4,000g. We used the method of isotonic regression to construct a birth weight prediction function that increases monotonically with each of the input variables and which minimizes the empirical quadratic loss. Results: A suspicion of macrosomia was based on a history of macrosomia, fundal height, and sonographic weight estimation >4,000g. The mean period between ultrasound weight estimation and delivery was 7.2days. The ability of the biometric algorithms developed to predict fetal weight at term ranged between a mean absolute error of 312 and 344g, given a confidence interval of 95%. We demonstrate that predictions of birth weight on the basis of ultrasound data can be improved significantly, if an isotonic regression model is used instead of a linear regression model. Conclusions: This study demonstrates that ultrasound detection of macrosomia can be improved using the isotonic regression method. The Author(s), 2010 Fetal weight estimation nationallicence Fetal macrosomia nationallicence Birth weight algorithms nationallicence Isotonic regression nationallicence Siggelkow W. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut Schmidt M. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut Skala C. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut Boehm D. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut von Forstner S. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut Koelbl H. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut Tresch A. Gene Center, Department of Chemistry and Biochemistry, LMU, Muenchen, Germany aut Archives of Gynecology and Obstetrics Springer-Verlag 283/3(2011-03-01), 469-474 0932-0067 283:3<469 2011 283 404 https://doi.org/10.1007/s00404-010-1390-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00404-010-1390-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Siggelkow W. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut NATIONALLICENCE 700 1- Schmidt M. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut NATIONALLICENCE 700 1- Skala C. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut NATIONALLICENCE 700 1- Boehm D. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut NATIONALLICENCE 700 1- von Forstner S. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut NATIONALLICENCE 700 1- Koelbl H. Department of Obstetrics and Gynecology, Johannes Gutenberg University, Mainz, Germany aut NATIONALLICENCE 700 1- Tresch A. Gene Center, Department of Chemistry and Biochemistry, LMU, Muenchen, Germany aut NATIONALLICENCE 773 0- Archives of Gynecology and Obstetrics Springer-Verlag 283/3(2011-03-01), 469-474 0932-0067 283:3<469 2011 283 404 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer