Literature DB >> 22544542

Ultrasound assessment of placental function: the effectiveness of placental biometry in a low-risk population as a predictor of a small for gestational age neonate.

Patricia McGinty1, Nadine Farah, Vicky O Dwyer, Jennifer Hogan, Amanda Reilly, Michael J Turner, Bernard Stuart, Máireád M Kennelly.   

Abstract

OBJECTIVE: The aims of the study were to establish reference ranges for placental length and thickness in a low-risk obstetric population and to assess the likelihood of a small for gestational age (SGA) neonate on the basis of placental length at 18-24 weeks' gestation.
METHODS: Placental length and thickness were measured by two sonographers in 520 singleton pregnancies. Uterine artery Doppler studies and a placental morphological assessment were also performed. Placental size was correlated with the birthweight centiles at delivery.
RESULTS: A placental length <10th centile between the gestational age of 18 and 24 weeks is a significant factor associated with SGA neonate [odds ratio (OR) = 2.8, 95% CL, 1.1-6.9]. An abnormal uterine artery Doppler is a significant factor for SGA neonate (OR = 3.4, 95% CL, 1.6-7.4). There was a weak relationship between cord insertion <2 cm from the placental margin and an SGA neonate (OR = 1.8, 95% CL, 0.4-8.2).
CONCLUSION: We have provided reference ranges for placental length and thickness from 18 to 24 weeks' gestation. A single measurement of placental length incorporated into the anatomy scan may assist in the early detection of a group at risk of delivering an SGA neonate.
© 2012 John Wiley & Sons, Ltd.

Mesh:

Year:  2012        PMID: 22544542     DOI: 10.1002/pd.3870

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  3 in total

1.  Macrosomia has its roots in early placental development.

Authors:  N Schwartz; H S Quant; M D Sammel; S Parry
Journal:  Placenta       Date:  2014-07-11       Impact factor: 3.481

2.  First-trimester placental ultrasound and maternal serum markers as predictors of small-for-gestational-age infants.

Authors:  Nadav Schwartz; Mary D Sammel; Rita Leite; Samuel Parry
Journal:  Am J Obstet Gynecol       Date:  2014-03-05       Impact factor: 8.661

3.  Deep learning-based segmentation of the placenta and uterus on MR images.

Authors:  Maysam Shahedi; Catherine Y Spong; James D Dormer; Quyen N Do; Yin Xi; Matthew A Lewis; Christina Herrera; Ananth J Madhuranthakam; Diane M Twickler; Baowei Fei
Journal:  J Med Imaging (Bellingham)       Date:  2021-09-25
  3 in total

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