Birth weight prediction from remote ultrasonographic examination

Spinnato, Joseph A.; Allen, Robert D.; Mendenhall, Hiram W.

doi:10.1016/0002-9378(89)90393-1

Cited by 20 publications

(11 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…17 For example, the weight of a fetus examined sonographically days before delivery will be slightly less than the birth weight, and when the birth weight is used in the regression analysis without due modification, a small but appreciable overestimation will occur. This problem was recognized by Spinnato et al, 18 who introduced a time component into the established formulas that is valid up to 35 days before delivery. We have developed a simpler technique, the gestation-adjusted projection method, that yields comparable results.…”

Section: Discussionmentioning

confidence: 97%

Menstrual age–dependent systematic error in sonographic fetal weight estimation: A mathematical model

Mongelli

Biswas

2002

J of Clinical Ultrasound

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 97%

Menstrual age–dependent systematic error in sonographic fetal weight estimation: A mathematical model

Mongelli

Biswas

2002

J of Clinical Ultrasound

View full text Add to dashboard Cite

show abstract

“…For WT, there are 8 published investigations, two using IGA procedures (22, 23), two using the scan-to-delivery interval as an independent variable in the weight estimation function (31,32) and four using methods that assume constant growth along cross-sectional size percentile lines in the 3 rd trimester (33,34,35,36). The two previous IGA studies, using measurements obtained before 28 weeks, MA and correcting for growth potential, age at delivery and growth cessation, gave similar systematic [mean: 2.3%, 1.7% vs. − 4.1%] and random errors [2 SD: 18.6%, 12.0% vs. 16.5%] prediction errors.…”

Section: Discussionmentioning

confidence: 99%

Fetal growth cessation in late pregnancy: its impact on predicted size parameters used to classify small for gestational age neonates

Deter

Lee

Sangi‐Haghpeykar

et al. 2014

The Journal of Maternal-Fetal & Neonatal Medicine

View full text Add to dashboard Cite

Objective To investigate growth cessation at term and birth characteristic predictions in a large sample using Individualized Growth Assessment. Methods A prospective longitudinal study of 119 pregnancies with normal growth outcomes was carried out from 18 weeks, MA, to delivery. Measurements of head circumference (HC), abdominal circumference (AC), femur diaphysis length (FDL), mid-thigh circumference (ThC), head profile cube (Hcube), abdominal profile cube (Acube) and mid-arm circumference (ArmC) were obtained using 3D ultrasonography at 3–4 week intervals. Rossavik growth models were determined from these data using sample-specific and previously published procedures. These models were used to predict birth characteristics at different ages. Predicted and measured birth characteristics were compared and Percent Differences (% Diff) calculated. Growth cessation age [GCA] was defined by the absence of systematic change in % Diff values [derived from predictions at GCA’s] in those fetuses delivering after the GCA. Systematic (mean % Diff) and random (% Diff 95% range) prediction errors were compared to published data and when using different assumptions about growth cessation. New Growth Potential Realization Index [GPRI] reference ranges were established. Results Growth cessation ages were 38 weeks for HC, AC, THC, WT and ArmC [CHL: 38.5 weeks]. Assuming growth-to-delivery gave positive slopes [4/6 different from zero] and non-random distributions for % Differences after the 38 weeks. Systematic and random prediction errors, based on predictions at the GCA’s, were similar to those published previously except for WT [based on Hcube and Acube]. However, predicted weights derived from BPD, AC and TVol had prediction errors of −4.1+/−8.3%. After correction for non-zero systematic prediction errors [AC, ThC, ArmC, WT], mean GPRI values were close to 100, with normal ranges similar [WT larger] than those obtained previously. Conclusions Growth cessation at term occurred for all six birth characteristics studied. Prediction errors and GPRI normal ranges in this large sample were similar to those obtained previously in much smaller samples. A simple weight estimation procedure utilizing three anatomical parameters (BPD, AC, TVol) gave the most precise WT predictions. Our results provide the methods and standards required to individualize the assessment of neonatal growth outcome.

show abstract

“…This finding seems counterintuitive because we would expect the accuracy of a BW projection to diminish as the gestational length increases, reflecting a longer time lag between the date of the ultrasonographic examination and the date of birth. Indeed, this time lag is the basis for the linear regression in the forward extrapolations of Spinnato et al 7 One possible explanation for improved GAP method accuracy with longer gestations could be that fetuses are not remaining on their predicted growth curves. If the heavier fetuses are crossing over to higher growth curves after their 34.0-to 36.9-week ultrasonographic examination, the overestimation of fetal weight by the GAP method would be mitigated, and we would expect EBW GAP accuracy to improve as gestations get longer.…”

Section: Discussionmentioning

confidence: 99%

“…Various investigators have sought to overcome these limitations by performing series of ultrasonographic examinations earlier in the third trimester and predicting birth weight (BW) on the basis of trends of fetal growth determined from those earlier scans. [7][8][9] Most of these techniques are labor intensive, requiring multiple ultrasonographic examinations over several weeks to months, and do not appreciably improve the accuracy over a single ultrasonographic examination performed just before delivery.…”

mentioning

confidence: 99%

Improved Ultrasonographic Estimation of Birth Weight in Macrosomic Fetuses by Application of a Correction Factor to the Gestation-Adjusted Projection Method

Zelig

Deering

Napolitano

2009

Journal of Ultrasound in Medicine

View full text Add to dashboard Cite

Objective. The purpose of this study was to improve estimated birth weight (EBW) determination in macrosomic fetuses (estimated fetal weight ≥4000 g) by application of a correction factor to the gestation-adjusted projection (GAP) method. Methods. A review was performed of 411 singleton pregnancies delivered at term. On the basis of ultrasonographic examinations previously performed between 34.0 and 36.9 weeks' gestation, an EBW was calculated for each patient by the GAP method (EBW GAP ). Using linear regression, a correction factor was developed that minimized the systematic error in the EBW GAP . The model was then tested retrospectively on a second group of 317 patients. Results. The GAP method systematically overestimated weights of the heavier fetuses in our population. The model we derived showed improved accuracy compared with the GAP method. When applied to a second group of 317 patients, our correction to the GAP method improved specificity for macrosomia from 94.7% to 98.6% (P = .003). Stated differently, the false-positive rate was reduced from 5.3% to 1.4%. The difference in sensitivity for macrosomia was not significant: 41.2% and 35.3% (P = .68). Conclusions. Application of our model to our study population reduced the number of false-positive results for fetal macrosomia.

show abstract

Birth weight prediction from remote ultrasonographic examination

Cited by 20 publications

References 5 publications

Menstrual age–dependent systematic error in sonographic fetal weight estimation: A mathematical model

Menstrual age–dependent systematic error in sonographic fetal weight estimation: A mathematical model

Fetal growth cessation in late pregnancy: its impact on predicted size parameters used to classify small for gestational age neonates

Improved Ultrasonographic Estimation of Birth Weight in Macrosomic Fetuses by Application of a Correction Factor to the Gestation-Adjusted Projection Method

Contact Info

Product

Resources

About