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ORIGINAL RESEARCH |
From the Department of Obstetrics and Gynecology, Chonnam National University Medical School and Research Institute of Medical Sciences, Chonnam National University, the Department of Diagnostic Radiology, Chosun University Medical School, Kwangju, Korea; and the Division of Perinatal Medicine, Department of Reproductive Medicine, University of California, San Diego, School of Medicine, La Jolla, California.
Address reprint requests to: Tae-Bok Song, MD Chonnam National University Medical School Department of Obstetrics and Gynecology 8 Hakdong, Dongku Kwangju, 501-190 Korea E-mail: tbsong{at}chonnam.chonnam.ac.kr
| Abstract |
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Methods: In 84 pregnant women, fetuses without structural or chromosomal anomalies were studied prospectively and cross-sectionally. Biparietal diameter (BPD), abdominal circumference (AC), and femur length (FL) were measured by two-dimensional ultrasound. Fetal thigh volume was measured by three-dimensional ultrasound, using three cross-sectional images of femur, from proximal, middle, and distal parts of femur diaphysis. Infants were delivered within 48 hours after ultrasound examinations.
Results: Modified thigh volume measurements using three cross-sectional images of femur by three-dimensional ultrasound were correlated strongly with birth weight (R2 = 0.921, P < .001). Using linear and polynomial regression, we calculated a new best-fit formula: Birth weight (g) = 165.32 + 28.78 x modified thigh volume (mL). The mean and standard deviation of the residual were 121.8 and 110.4, respectively, in three-dimensional formulas, which were significantly smaller than those of two-dimensional formulas.
Conclusion: Thigh volume measurement using three cross-sectional images of femur by three-dimensional ultrasound was simple, and there was better accuracy with this method than with two-dimensional ultrasound methods for predicting fetal weight during the third trimester of pregnancy.
Initial attempts to estimate fetal weight by ultrasound consisted of individual fetal measurements such as biparietal diameter (BPD)1 or abdominal circumference (AC).2 Subsequent reports showed that accuracy of estimated fetal weight is improved when multiple fetal measurements are used. The simplest methods that give reasonably accurate results are based on two measurements, AC and BPD3,4 or AC and femur length (FL).57
With the advent of three-dimensional ultrasound, some researchers found it useful for fetal weight estimation by using limb circumferences,8 upper arm volumes,9 and thigh volumes.10 Fetal limb volume is related to fetal growth and nutrition.11 The accuracy of three-dimensional ultrasound in volumetry has been validated in many organ systems, in vitro and in vivo.1215 Hence, thigh volume assessed by three-dimensional ultrasound should effectively predict birth weight. In other studies, fetal upper arm or thigh volume assessed by three-dimensional ultrasound achieved satisfactory results in birth weight prediction.9,10 The only drawback was the long time needed to measure volumes. In this study, we assessed fetal thigh volume by a simple method. We determined the usefulness and accuracy of that method of assessing fetal thigh volume by three-dimensional ultrasonography for predicting birth weight.
| Materials and Methods |
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The formats of thigh volume measurement by three-dimensional ultrasonography are shown in Figures 1
and 2
. We used the traditional plane for measuring the femur length on the first screen (Figure 1A
and Figure 2
, upper left panel) and rotated the plane to put the femur accurately in a horizontal position. Then we fixed the plane as an anchor and moved the cursor (XM) along the femur. The transaxial plane (PM) was shown on the second screen (Figure 1B
and Figure 2
, upper right panel), and the dot cursor was marked along the outline of the thigh. We measured areas at distal, middle, and proximal diaphysis. The cursor location of XD and XP (Figure 1A
) was about 4 mm inside the end of femur diaphyses because the outline of thigh was shown more clearly there than that of the end of diaphysis. The shaded area in Figure 1B
, which corresponds to the upper right panel of Figure 2
, was measured. The thigh volume was calculated automatically from three cross-sectional images. Each measurement of simple thigh volume took about 2 minutes.
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Intraobserver error was determined by measuring thigh volume on the same subject 30 times by the same physician (JYL). To validate the new formula, we prospectively evaluated 102 cases that met the criteria. The mean and SD of the residual of the new formula and the traditional formula were also compared.
We used SPSS for Windows Base 10.0 statistical package (SPSS Inc., Chicago, IL) to analyze the data. Regression analysis with coefficient of determination (R2) was used to determine the relationship between independent and dependent variables. The paired t test was used to compare the mean and SD between different formulas. Intraobserver error was examined by one-sample t test. P < .05 was considered statistically significant.
| Results |
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Intraobserver error, expressed as intraobserver coefficient of variation, was 3.12% (n = 30, mean 110.30 ± 3.44 mL) and considered not significant. Three-dimensional ultrasound volumetry was highly reproducible for the assessment of fetal thigh volume. All measurements were done by one author, so there was no interobserver error.
The relationship between birth weight and thigh volume was highly statistically significant (R2 = 921, n = 84, P < .001). Although polynomial equations using thigh volume as the independent variable and birth weight as the dependent variable were calculated from the first to the third order, the simple linear regression equation had the best fit for thigh volume versus birth weight. From that regression analysis, we derived a new best-fit formula: Birth weight (g) = 165.32 + 28.78 x thigh volume (mL).
As given in Table 3
, the mean and SD of residual of the new formula and the previous two formulas for predicting birth weights in Table 2
were compared by paired t test. The new formula using thigh volume measured by three-dimensional ultrasonography had the lowest mean and SD of residual. The new formula was statistically superior to the Shepard and Hadlock formulas (P < .001 each).
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| Discussion |
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Many in vitro and in vivo studies validated the accuracy of three-dimensional ultrasound in volumetry. Estimation of fetal weight using three-dimensional ultrasound has been studied,810 and Jeanty et al11 reported that fetal limb volume can be a new measurement to assess fetal growth and nutrition.
Liang et al9 reported that upper arm volume assessed with three-dimensional ultrasound significantly improved prediction of fetal weight compared with the traditional two-dimensional formulas. Chang et al10 reported that fetal thigh volumetry assessed by three-dimensional ultrasound predicted birth weight more accurately than two-dimensional ultrasound formulas. However, those three-dimensional assessments of volume were relatively meticulous and time-consuming. According to Chang et al,10 the measurements of thigh volume were cross-sectional images at 3-mm intervals, and a complete assessment of thigh volume usually took 1015 minutes.
To shorten the data collection time, we used a simple method. Fetal thigh volume was measured by using three cross-sectional images at proximal, middle, and distal diaphysis of the femur instead of 3-mm intervals as used by Chang et al.10 Our method was easier and less time-consuming than that of Chang et al.10 As shown in Table 3
, the three-dimensional method using only three cross-sectional images of the femur had better accuracy than two-dimensional methods.
The 84 cases in our study were classified into appropriate for gestational age, LGA, and SGA groups to determine differences among them (Table 5
). Fetal weight prediction by the three-dimensional ultrasonographic method had the lowest values for mean and SD of residual in all three groups. The paired t test showed statistically significant P values in all except the SGA group. Further studies with more subjects are necessary because the number of cases in the SGA group was small (n = 10).
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| Footnotes |
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Received October 21, 1999. Received in revised form February 24, 2000. Accepted March 16, 2000.
| References |
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