Literature DB >> 23690053

Prenatal midtrimester fetal long bone measurements and the prediction of small-for-gestational-age fetuses at term.

Paul D Speer1, Timothy Canavan1, Hyagriv N Simhan2, Lyndon M Hill1.   

Abstract

OBJECTIVE: To determine if the length of fetal long bones (LB) at mid-trimester ultrasound is predictive of small-for-gestational-age (SGA) newborns at term delivery.
METHODS: Retrospective evaluation of 6,781 women between 18 and 24 weeks' gestation at Magee-Womens Hospital (MWH). Gestational age (GA) was confirmed by first- or second-trimester ultrasound and patient's last menstrual period. Data were accrued from the institutional database at MWH. LB measurements were normalized to GA at the time of the ultrasound. The ratio was correlated with the probability of delivering an SGA newborn at term.
RESULTS: In all, 583 women were identified with an SGA newborn (8.6%). LB-to-GA ratios were associated with the probability of delivering an SGA newborn at term (p < 0.001). There was no single LB that proved to be superior in predicting an SGA newborn.
CONCLUSION: There is a significant association between LB-to-GA ratio at midtrimester and the probability of SGA at term. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Entities:  

Mesh:

Year:  2013        PMID: 23690053     DOI: 10.1055/s-0033-1345260

Source DB:  PubMed          Journal:  Am J Perinatol        ISSN: 0735-1631            Impact factor:   1.862


  2 in total

1.  Chromosomal microarray should be performed for cases of fetal short long bones detected prenatally.

Authors:  Keren Tzadikevitch Geffen; Amihood Singer; Idit Maya; Lena Sagi-Dain; Morad Khayat; Shay Ben-Shachar; Hagit Daum; Rachel Michaelson-Cohen; Michal Feingold-Zadok; Rivka Sukenik Halevy
Journal:  Arch Gynecol Obstet       Date:  2020-08-06       Impact factor: 2.344

2.  Clinical value of genetic analysis in prenatal diagnosis of short femur.

Authors:  Jialiu Liu; Linhuan Huang; Zhiming He; Shaobin Lin; Ye Wang; Yanmin Luo
Journal:  Mol Genet Genomic Med       Date:  2019-09-30       Impact factor: 2.183

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.