caa a22 4500 445310103 CHVBK 20180317142626.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s00404-010-1730-8 doi (NATIONALLICENCE)springer-10.1007/s00404-010-1730-8 Weight estimation for low birth weight fetuses and macrosomic fetuses in Chinese population [Elektronische Daten] [Ping Chen, Jinhua Yu, Xiaomin Li, Yuanyuan Wang, Cai Chang] Objective: Compared with normal birth weight fetuses (2,500-4,000g), accurate fetal weight estimation for fetuses with low or excessive weight is considered more important for fetal compromise prediction and labor management. New formulas were developed to estimate weight for low birth weight (LBW) fetuses and macrosomic fetuses, respectively. Methods: A total of 523 fetuses with birth weight less than 2,500g, 652 fetuses with normal birth weight, and 239 fetuses with birth weight more than 4,000g were included in the study. As much as 25 existing formulas which incorporate regularly defined fetal measurements were evaluated and compared. Performance evaluation of existing formulas showed that no formulas can provide consistently accurate weight estimation both for LBW fetuses and macrosomic fetuses. A total of 1,034 cases were utilized to generate an overall regression formula. If the pre-estimated weight fell into the suspicious LBW and macrosomia range, the value was then updated by using the new regression formulas for LBW fetuses and macrosomic fetuses. As the training group, 262 LBW fetuses and 120 macrosomic fetuses were employed in a stepwise linear regression to obtain two update regression formulas for suspicious LBW fetuses and macrosomic fetuses. As the validation group, another 261 LBW fetuses and 119 macrosomic fetuses were assessed. Results: The new overall formula has the form of Log10BW=0.180(HC)+0.00628(AC)−0.00318(HC)2+0.00173(AC)(FL)+0.0000430(BPD)(HC)2. The update formula for suspicious LBW fetuses is LnBW=1.470(BPD)+0.0169(HC)−0.0873(BPD)2+0.00518(AC)(FL) and for macrosomic fetuses is Log10BW=0.730(BPD)−0.0375(BPD)2+0.000264(AC)(FL). For LBW fetuses, the new method gave 7.6±209.0 (g) of estimation error and 8.3±7.8 (%) of absolute percentage error, while the best existing formula provided −0.7±226.0 (g) and 9.1±8.3 (%). With the new method, 71.3% of estimates fell within ±10% of the actual birth weight, while the best existing formula gave 65.5%. For macrosomic fetuses, the new method gave −87.9±231.0 (g) of estimation error and 4.4±3.9 (%) of absolute percentage error, while the best existing formula provided 115.6±345.1 (g) and 6.8±5.4 (%). With the new method, 89.1% of estimates fell within ±10% of the actual birth weight, while the best existing formula gave 75.6%. Conclusions: To improve the weight estimation accuracy for low or excessive weight fetuses, separate formulas are necessary. The new method provides significant improvement on fetal weight estimation for LBW fetuses and macrosomic fetuses. Springer-Verlag, 2010 Fetal weight estimation nationallicence Low birth weight fetuses nationallicence Macrosomic fetuses nationallicence Stepwise linear regression nationallicence Chen Ping Shanghai First Maternity and Infant Health Hospital, Tongji University School of Medicine, Shanghai, China aut Yu Jinhua Department of Electronic Engineering, Fudan University, Shanghai, China aut Li Xiaomin Department of Electronic Engineering, Fudan University, Shanghai, China aut Wang Yuanyuan Department of Electronic Engineering, Fudan University, Shanghai, China aut Chang Cai Shanghai Cancer Center, Fudan University, Shanghai, China aut Archives of Gynecology and Obstetrics Springer-Verlag 284/3(2011-09-01), 599-606 0932-0067 284:3<599 2011 284 404 https://doi.org/10.1007/s00404-010-1730-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00404-010-1730-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Ping Shanghai First Maternity and Infant Health Hospital, Tongji University School of Medicine, Shanghai, China aut NATIONALLICENCE 700 1- Yu Jinhua Department of Electronic Engineering, Fudan University, Shanghai, China aut NATIONALLICENCE 700 1- Li Xiaomin Department of Electronic Engineering, Fudan University, Shanghai, China aut NATIONALLICENCE 700 1- Wang Yuanyuan Department of Electronic Engineering, Fudan University, Shanghai, China aut NATIONALLICENCE 700 1- Chang Cai Shanghai Cancer Center, Fudan University, Shanghai, China aut NATIONALLICENCE 773 0- Archives of Gynecology and Obstetrics Springer-Verlag 284/3(2011-09-01), 599-606 0932-0067 284:3<599 2011 284 404 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer