Literature DB >> 33648019

Use of ultrasound fetal shoulder soft tissue thickness measurement in estimation of fetal weight.

Mehriban Aliyeva1, Serdar Aydın2.   

Abstract

AIMS: Birth weight (BW) estimation with ultrasound is of great importance in delivery decision and management of complications of delivery. The aim was to evaluate the effect of femur, humerus, and clavicular soft tissue thickness on BW and developed a formula for proper estimation of fetal weight.
METHODS: This prospective cohort study, included 231singleton pregnancies, with 34 and 42 weeks of gestation, delivered within 48 h after ultrasound examination. In addition to four biometric ultrasound measures, shoulder soft tissue thickness, thigh and arm soft tissue thickness were measured from outer margin of skin to outer margin of bone shaft by same investigator. Spearman correlation test was used to assess correlations between soft tissue thickness measurements and BW. Linear regression model was used and R2 to test accuracy of the new formula.
RESULTS: The mean humerus soft tissue thickness (HSTT) was 12 ± 3.5 mm (6-23.9 mm), mean femur soft tissue thickness (FSTT) was 15.9 ± 3.8 mm (7.3-32 mm), mean clavicular soft tissue thickness (CSTT) was 12.9 ± 3.2 mm (7.3-24 mm). There was a low correlation between BW and FSTT (r = 0.21, p = 0.001) and CSTT (r = 0.18, p = 0.005). Best fit formula was Log (BW) = -5697 + 7.2 (HC) + 15.3 (AC) + 22.6 (FL) + 17 (CSTT), was significantly correlated with BW (R2 = 0.60).
CONCLUSION: BW increased as the ultrasound shoulder soft tissue thickness increased. Adding soft tissue thickness measurements to fetal biometry is similar in terms of estimating fetal weight from the existing estimated fetal weight formula.
© 2021 Japan Society of Obstetrics and Gynecology.

Keywords:  biometry; fetal weight; shoulder thickness; soft tissue thickness; ultrasonography

Year:  2021        PMID: 33648019     DOI: 10.1111/jog.14728

Source DB:  PubMed          Journal:  J Obstet Gynaecol Res        ISSN: 1341-8076            Impact factor:   1.730


  1 in total

1.  A predictive model of macrosomic birth based upon real-world clinical data from pregnant women.

Authors:  Gao Jing; Shi Huwei; Chen Chao; Chen Lei; Wang Ping; Xiao Zhongzhou; Yang Sen; Chen Jiayuan; Chen Ruiyao; Lu Lu; Luo Shuqing; Yang Kaixiang; Xu Jie; Cheng Weiwei
Journal:  BMC Pregnancy Childbirth       Date:  2022-08-18       Impact factor: 3.105

  1 in total

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