Mary L Hediger1, Karin M Fuchs2, Katherine L Grantz1, Jagteshwar Grewal1, Sungduk Kim1, Robert E Gore-Langton3, Germaine M Buck Louis4, Mary E D'Alton2, Paul S Albert1. 1. Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, Maryland USA. 2. Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York USA. 3. The Emmes Corporation, Rockville, Maryland USA. 4. Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, Maryland USA louisg@mail.nih.gov.
Abstract
OBJECTIVES: To report on the ultrasound quality assurance program for the National Institute of Child Health and Human Development Fetal Growth Studies and describe both its advantages and generalizability. METHODS: After training on an ultrasound system and software, research sonographers were expected to capture blank (unmeasured) images in triplicate for crown-rump length, biparietal diameter, head circumference, abdominal circumference, and femur length. A primary expert sonographer was designated and validated. A 5% sample (n = 740 of 14,785 scans) was randomly selected in 3 distinct rounds from within strata of maternal body mass index (round 1 only), gestational age, and research site. Unmeasured images were extracted from selected scans and measured with the ultrasound software by an expert sonographer. Correlations and coefficients of variation (CVs) were calculated, and the within-measurement standard deviation (ie, technical error of the measurement), was calculated. RESULTS: The reliability between the site sonographers and the expert was high, with correlations exceeding 0.99 for all dimensions in all rounds. The CV % values showed low variability, with the percentage differences being less than 2%, except for abdominal circumference in rounds 2 and 3, in which it averaged about 3%. Correlations remained high (>0.90) with increasing fetal size; there was a monotonic increase in technical errors of the measurement but without a corresponding increase in the CV %. CONCLUSIONS: Using rigorous procedures for training sonographers, coupled with quality assurance oversight, we determined that the measurements acquired longitudinally for singletons are both accurate and reliable for establishment of an ultrasound standard for fetal growth.
OBJECTIVES: To report on the ultrasound quality assurance program for the National Institute of Child Health and Human Development Fetal Growth Studies and describe both its advantages and generalizability. METHODS: After training on an ultrasound system and software, research sonographers were expected to capture blank (unmeasured) images in triplicate for crown-rump length, biparietal diameter, head circumference, abdominal circumference, and femur length. A primary expert sonographer was designated and validated. A 5% sample (n = 740 of 14,785 scans) was randomly selected in 3 distinct rounds from within strata of maternal body mass index (round 1 only), gestational age, and research site. Unmeasured images were extracted from selected scans and measured with the ultrasound software by an expert sonographer. Correlations and coefficients of variation (CVs) were calculated, and the within-measurement standard deviation (ie, technical error of the measurement), was calculated. RESULTS: The reliability between the site sonographers and the expert was high, with correlations exceeding 0.99 for all dimensions in all rounds. The CV % values showed low variability, with the percentage differences being less than 2%, except for abdominal circumference in rounds 2 and 3, in which it averaged about 3%. Correlations remained high (>0.90) with increasing fetal size; there was a monotonic increase in technical errors of the measurement but without a corresponding increase in the CV %. CONCLUSIONS: Using rigorous procedures for training sonographers, coupled with quality assurance oversight, we determined that the measurements acquired longitudinally for singletons are both accurate and reliable for establishment of an ultrasound standard for fetal growth.
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Authors: Mengying Li; Stefanie N Hinkle; Katherine L Grantz; Sungduk Kim; Jagteshwar Grewal; William A Grobman; Daniel W Skupski; Roger B Newman; Edward K Chien; Anthony Sciscione; Noelia Zork; Deborah A Wing; Michael Nageotte; Fasil Tekola-Ayele; Germaine M Buck Louis; Paul S Albert; Cuilin Zhang Journal: Lancet Diabetes Endocrinol Date: 2020-03-02 Impact factor: 32.069
Authors: Cuilin Zhang; Mary L Hediger; Paul S Albert; Jagteshwar Grewal; Anthony Sciscione; William A Grobman; Deborah A Wing; Roger B Newman; Ronald Wapner; Mary E D'Alton; Daniel Skupski; Michael P Nageotte; Angela C Ranzini; John Owen; Edward K Chien; Sabrina Craigo; Sungduk Kim; Katherine L Grantz; Germaine M Buck Louis Journal: JAMA Pediatr Date: 2018-01-01 Impact factor: 16.193
Authors: Jagteshwar Grewal; Katherine L Grantz; Cuilin Zhang; Anthony Sciscione; Deborah A Wing; William A Grobman; Roger B Newman; Ronald Wapner; Mary E D'Alton; Daniel Skupski; Michael P Nageotte; Angela C Ranzini; John Owen; Edward K Chien; Sabrina Craigo; Paul S Albert; Sungduk Kim; Mary L Hediger; Germaine M Buck Louis Journal: Int J Epidemiol Date: 2018-02-01 Impact factor: 7.196
Authors: Katherine L Grantz; Sungduk Kim; William A Grobman; Roger Newman; John Owen; Daniel Skupski; Jagteshwar Grewal; Edward K Chien; Deborah A Wing; Ronald J Wapner; Angela C Ranzini; Michael P Nageotte; Stefanie N Hinkle; Sarah Pugh; Hanyun Li; Karin Fuchs; Mary Hediger; Germaine M Buck Louis; Paul S Albert Journal: Am J Obstet Gynecol Date: 2018-05-24 Impact factor: 8.661
Authors: Melissa M Amyx; Paul S Albert; Alaina M Bever; Stefanie N Hinkle; John Owen; William A Grobman; Roger B Newman; Edward K Chien; Robert E Gore-Langton; Germaine M Buck Louis; Katherine L Grantz Journal: Am J Obstet Gynecol Date: 2019-08-24 Impact factor: 8.661
Authors: John Owen; Paul S Albert; Germaine M Buck Louis; Karin M Fuchs; William A Grobman; Sungduk Kim; Mary E D'Alton; Ronald Wapner; Deborah A Wing; Katherine L Grantz Journal: Am J Obstet Gynecol Date: 2019-02-18 Impact factor: 8.661
Authors: Melissa M Smarr; Germaine M Buck Louis; Paul S Albert; Sungduk Kim; Karin M Fuchs; Jagteshwar Grewal; Mary E D'Alton; Katherine L Grantz Journal: Am J Perinatol Date: 2017-11-30 Impact factor: 1.862