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Article: Birth-weight prediction using three-dimensional sonographic fractional thigh volume at term in a Chinese population

TitleBirth-weight prediction using three-dimensional sonographic fractional thigh volume at term in a Chinese population
Authors
KeywordsBirth-Weight Prediction
Chinese Population
Fractional Thigh Volume
Issue Date2011
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0960-7692/
Citation
Ultrasound In Obstetrics And Gynecology, 2011, v. 38 n. 4, p. 425-433 How to Cite?
AbstractObjectives To develop and validate new birth-weight prediction models in Chinese pregnant women using fractional thigh volume. Methods Healthy late third-trimester fetuses within 5 days of delivery were prospectively examined using two- (2D) and three- (3D) dimensional ultrasonography. Measurements were performed using 2D ultrasound for standard fetal biometry and 3D ultrasound for fractional thigh volume (TVol) and middle thigh circumference. The intraclass correlation coefficient (ICC) was used to analyze the inter- and intraobserver reliability of the 3D ultrasound measurements of 40 fetuses. Five birth-weight prediction models were developed using linear regression analysis, and these were compared with previously published models in a validation group. Results Of the 290 fetuses studied, 100 were used in the development of prediction models and 190 in the validation of prediction models. The inter- and intraobserver variability for TVol and middle thigh circumference measurements was small (all ICCs ≥ 0.95). The prediction model using TVol, femur length (FL), abdominal circumference (AC) and biparietal diameter (BPD) provided the most precise birth-weight estimation, with a random error of 4.68% and R 2 of 0.825. It correctly predicted 69.5 and 95.3% of birth weights to within 5 and 10% of actual birth weight. By comparison, the Hadlock model with standard fetal biometry (BPD, head circumference, AC and FL) gave a random error of 6.41%. The percentage of birth-weight prediction within 5 and 10% of actual birth weight was 46.3 and 82.6%, respectively. Conclusion Consistent with studies on Caucasian populations, a new birth-weight prediction model based on fractional thigh volume, BPD, AC and FL, is reliable during the late third trimester in a Chinese population, and allows better prediction than does the Hadlock model. © 2011 ISUOG. Published by John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/180702
ISSN
2015 Impact Factor: 4.197
2015 SCImago Journal Rankings: 1.766
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYang, Fen_US
dc.contributor.authorLeung, KYen_US
dc.contributor.authorHou, YWen_US
dc.contributor.authorYuan, Yen_US
dc.contributor.authorTang, MHYen_US
dc.date.accessioned2013-01-28T01:41:17Z-
dc.date.available2013-01-28T01:41:17Z-
dc.date.issued2011en_US
dc.identifier.citationUltrasound In Obstetrics And Gynecology, 2011, v. 38 n. 4, p. 425-433en_US
dc.identifier.issn0960-7692en_US
dc.identifier.urihttp://hdl.handle.net/10722/180702-
dc.description.abstractObjectives To develop and validate new birth-weight prediction models in Chinese pregnant women using fractional thigh volume. Methods Healthy late third-trimester fetuses within 5 days of delivery were prospectively examined using two- (2D) and three- (3D) dimensional ultrasonography. Measurements were performed using 2D ultrasound for standard fetal biometry and 3D ultrasound for fractional thigh volume (TVol) and middle thigh circumference. The intraclass correlation coefficient (ICC) was used to analyze the inter- and intraobserver reliability of the 3D ultrasound measurements of 40 fetuses. Five birth-weight prediction models were developed using linear regression analysis, and these were compared with previously published models in a validation group. Results Of the 290 fetuses studied, 100 were used in the development of prediction models and 190 in the validation of prediction models. The inter- and intraobserver variability for TVol and middle thigh circumference measurements was small (all ICCs ≥ 0.95). The prediction model using TVol, femur length (FL), abdominal circumference (AC) and biparietal diameter (BPD) provided the most precise birth-weight estimation, with a random error of 4.68% and R 2 of 0.825. It correctly predicted 69.5 and 95.3% of birth weights to within 5 and 10% of actual birth weight. By comparison, the Hadlock model with standard fetal biometry (BPD, head circumference, AC and FL) gave a random error of 6.41%. The percentage of birth-weight prediction within 5 and 10% of actual birth weight was 46.3 and 82.6%, respectively. Conclusion Consistent with studies on Caucasian populations, a new birth-weight prediction model based on fractional thigh volume, BPD, AC and FL, is reliable during the late third trimester in a Chinese population, and allows better prediction than does the Hadlock model. © 2011 ISUOG. Published by John Wiley & Sons, Ltd.en_US
dc.languageengen_US
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0960-7692/en_US
dc.relation.ispartofUltrasound in Obstetrics and Gynecologyen_US
dc.subjectBirth-Weight Predictionen_US
dc.subjectChinese Populationen_US
dc.subjectFractional Thigh Volumeen_US
dc.titleBirth-weight prediction using three-dimensional sonographic fractional thigh volume at term in a Chinese populationen_US
dc.typeArticleen_US
dc.identifier.emailTang, MHY: mhytang@hkucc.hku.hken_US
dc.identifier.authorityTang, MHY=rp01701en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1002/uog.8945en_US
dc.identifier.pmid21308831-
dc.identifier.scopuseid_2-s2.0-80053211705en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80053211705&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume38en_US
dc.identifier.issue4en_US
dc.identifier.spage425en_US
dc.identifier.epage433en_US
dc.identifier.isiWOS:000295727400010-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridYang, F=35363141900en_US
dc.identifier.scopusauthoridLeung, KY=8247106900en_US
dc.identifier.scopusauthoridHou, YW=53163718700en_US
dc.identifier.scopusauthoridYuan, Y=55204646200en_US
dc.identifier.scopusauthoridTang, MHY=35362943900en_US

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