Predicting fetal growth restriction with liver volume by three-dimensional ultrasound: Efficacy evaluation
| Autor: | Chu Ling Chen, Huei Chen Ko, Chiung Hsin Chang, Chen Hsiang Yu, Fong Ming Chang |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
medicine.medical_specialty
Acoustics and Ultrasonics Liver volume Biophysics Gestational Age Prenatal care Sensitivity and Specificity Imaging Three-Dimensional Internal medicine medicine Fetal growth Humans Radiology Nuclear Medicine and imaging Prospective Studies Prospective cohort study Ultrasonography Fetus Fetal Growth Retardation Radiological and Ultrasound Technology business.industry Obstetrics Ultrasound Reproducibility of Results Gestational age Cross-Sectional Studies Endocrinology Liver In utero embryonic structures business |
| Zdroj: | Ultrasound in Medicine & Biology. 32:13-17 |
| ISSN: | 0301-5629 |
| DOI: | 10.1016/j.ultrasmedbio.2005.09.002 |
| Popis: | It is well-documented that fetal growth restriction (FGR) may have increased risks of perinatal morbidity and mortality. Early detection of FGR is crucial in prenatal care and daily practice. We undertook a prospective and cross-sectional study using quantitative 3-D ultrasound (US) to assess the efficacy of fetal liver volume (LV) in predicting FGR. During the study period, 42 fetuses with FGR and 375 fetuses without FGR were included for the LV assessment in utero by 3-D US. All the fetuses were singletons and had follow-up to delivery to ensure whether they were complicated with FGR or not. Our results revealed that fetal LV assessed by 3-D US can differentiate well fetuses with FGR from those without FGR. The sensitivity of fetal LV in predicting FGR was 97.6%, with specificity 93.6%, predictive value of positive test 63%, predictive value of negative test 99.7% and accuracy 94%. In conclusion, fetal LV assessed by quantitative 3-D US can be used to predict fetuses with FGR antenatally. Our data support that fetal LV assessment by 3-D US would be a useful test in detecting fetuses with FGR. |
| Databáze: | OpenAIRE |
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