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Ultrasound measurement of fetal adrenal gland enlargement: an accurate predictor of preterm birth.
MedLine Citation:
PMID:  21292230     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVE: The objective of the study was to test whether ultrasound-measured fetal adrenal gland volume (AGV) and fetal zone enlargement (FZE) predicts preterm birth (PTB) better than cervical length (CL). STUDY DESIGN: Three-dimensional and 2-dimensional ultrasound were used prospectively to measure fetal AGV, FZE, and CL in women with preterm labor symptoms. We corrected AGV for fetal weight (cAGV). The ratio between whole gland depth (D) and central fetal zone depth (d) (d/D) was used to measure FZE. Ability of cAGV, d/D, and CL to predict PTB 7 days or less was compared. RESULTS: Twenty-seven of 74 women (36.5%) presenting between 21 and 34 weeks had PTB of 7 days or less. FZE greater than 49.5% was the single best predictor for PTB (sensitivity/specificity 100%/89%) compared with cAGV (81%/87%) and CL (56%/60%; P < .05). Prediction was independent of obstetrics history and tocolytic use. CONCLUSION: The 2-dimensional measurement of the adrenal gland FZE is highly effective performing superior to CL in identifying women at risk for PTB within 7 days.
Authors:
Ozhan M Turan; Sifa Turan; Edmund F Funai; Irina A Buhimschi; Catherine H Campbell; Ozan M Bahtiyar; Chris R Harman; Joshua A Copel; Catalin S Buhimschi; Ahmet A Baschat
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-2-1
Journal Detail:
Title:  American journal of obstetrics and gynecology     Volume:  -     ISSN:  1097-6868     ISO Abbreviation:  -     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-2-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370476     Medline TA:  Am J Obstet Gynecol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Published by Mosby, Inc.
Affiliation:
Department of Obstetrics, Gynecology and Reproductive Sciences University of Maryland School of Medicine, Baltimore, MD.
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