A comparison of pregnancy dating methods commonly used in South Africa: A prospective study
Department of Obstetrics and Gynaecology, Tygerberg Hospital and Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
Background. Pregnancy dating in the South African public healthcare setting is mainly based on clinical assessment. However, the accuracy of this approach is unknown.
Aim. To compare the accuracy of different pregnancy dating methods.
Methods. We performed a prospective comparison of 2 ultrasound policies involving consecutive low-risk women in a midwife clinic in the Metro East region, Cape Town, Western Cape. Information on the last menstrual period (LMP), the 1st symphysis-to-fundal height measurement (FH) and average gestation by ultrasonographic (US) fetal biometry was recorded. Five dating methods: LMP, FH, US and their combinations, were assessed against the actual day of delivery (ADD). The main outcome measures were: (i) the days between the ADD and estimated date of delivery in pregnancies where spontaneous labour occurred and the baby had a normal birth weight; (ii) the incidence of gestational age-related outcomes; and (iii) the influence of clinical variables on dating discrepancies.
Results. A total of 1 342 pregnancies were analysed. The accuracy of dating was similar for certain and uncertain LMP. FH was less accurate with increasing obesity. US-based dating was most accurate (for 85% of predictions within 14 days) and similarly accurate at 20 - 24 weeks and at >24 weeks. US reduced the number of assumed pre-and post-term deliveries and, in addition, was better at detecting small-for-gestational age infants (p<0.001).
Pregnancy dating by US, including those in more advanced
pregnancies than currently permitted, is recommended since all
non-ultrasound-based estimations of gestational age were
considerably less accurate.
S Afr Med J 2013;103(8):552-556.
Optimal management of pregnancy relies on accurate assessment of the gestational age (GA) of the fetus; which can be determined by the history of the last menstrual period (LMP), clinical estimation of the 1st symphysis-to-fundal height measurement (FH) or ultrasonographic fetal biometry. However, many women fail to recall their LMP accurately.1 Moreover, pregnancy duration and fertile period are highly variable, even for women with regular cycles.1 FH suffers from poor reproducibility and high variability due to maternal and fetal factors;2-4 its accuracy for dating has not been extensively studied5-7 and requires FH dating charts (rather than growth charts). Ultrasonography (US) in the 1st, or early 2nd trimester, is highly reproducible8 and widely used for dating, since early biological variability of fetal biometry is minimal.9 In the past, certain LMP was used for dating as long as the GA was within 7, 10 or 14 days of the estimate of GA by US,10 but now 1st, or 2nd trimester, US is increasingly recommended as the single dating method because of its smaller error rate.1 , 11 , 12
The accuracy of dating GA by US in late pregnancy is less well
studied, but may be clinically valuable.13
14 The current policy in
the Western Cape Province of South Africa (SA) provides for a
routine US examination between 18 - 23 weeks of the clinically
estimated GA for low-risk pregnancies since this reduces the
number of presumptive post- and pre-term deliveries as well as
the number of referrals to a higher level of care for suspected
deviations in fetal growth.15 The approximately 34% of
women who typically present at >23 weeks16 do not
routinely receive US. Pregnancy dating is based on a pragmatic
guideline incorporating information from the LMP, FH and early
US (if available).17 The accuracy of this
guideline and the clinical value of late US-based GA dating have
not been assessed. Our aim was to determine the accuracy of the
different dating methods, and of their combinations, since they
are currently widely used in SA. We performed a prospective
study that compared the current US policy with a policy that
included a routine booking scan.
Determine the accuracy of US in predicting the actual date of
delivery (ADD), (ii) compare the incidence of
GA-related outcomes and (iii) assess the influence of
clinical variables on discrepancies between the dating
The main study, described elsewhere,16 was a prospective, interventional, before-and-after study in low-risk women (n=750 in each study arm) initiating antenatal care in 2 midwife-led clinics in the Metro East region, Cape Town, Western Cape. The study was approved by the Committee for Human Research, University of Stellenbosch (project no. N07/04/080) and a waiver of individual informed consent was granted.
During the 1st period (October 2007 - January 2008, comprising the control group), women received a routine US at 18 - 23 weeks GA, determined by clinical estimation based on a combination of the date of the LMP and FH. Additional scans were permitted, as per current policy, only for specified clinical indications. During the 2nd period, (February - April 2008, comprising the study group), a ‘booking US scan’ was obtained for all women within 7 days of their booking, regardless of GA. Singleton pregnancies continuing to >24 weeks were included if information was available for ≥1 dating method if ADD was known and ≥2 if ADD was not. We excluded pregnancies with obvious abnormal findings on US (e.g. anomaly, oligo- or polyhydramnios and asymmetric growth).
We determined the GA according to LMP, FH, US and 2 combinations of these methods, which we termed the clinical and final GA. Only FH measurements obtained prior to the US were considered for the analysis. FH-based GA was calculated by plotting the 1st standardised FH measurement on the 50th centile of the local reference range for FH growth.4 In line with routine local practice, US-based GA was determined from published growth charts by calculating the average GA from multiple biometric variables, provided they were concordant and the fetus and liquor appeared normal on scan.16
The clinical GA was calculated by comparing the LMP-based GA and FH-based GA and refuting the LMP-based GA when the LMP was uncertain or the difference was greater than accepted tolerance intervals (of 3 or 4 weeks when the fundus was below or above the umbilicus, respectively).17
The final GA was determined from all available information, according to a local standardised guideline. The LMP-based GA and US-based GA were compared in cases where US biometry was available, refuting the LMP-based GA when the LMP was uncertain or the difference was greater than accepted tolerance intervals (>2 standard deviations (SDs) before 16 weeks; >2 weeks at 16 - 24 weeks17 and >3 weeks after 24 weeks). If no US was performed during the pregnancy, the clinical GA was deemed to be the final GA.
We determined pregnancy outcomes from medical records. Post-term was defined as delivery occurring ≥14 days after the estimated date of delivery (EDD) calculated according to the final GA, local policy being to deliver electively at 42 completed weeks. Pre-term was defined as delivery before 37 completed weeks. Small- and large-for-gestational age (SGA and LGA, respectively) were defined as birth weight (BW) <10th centile or >90th centile, respectively.18
In women with spontaneous onset of labour who delivered an infant with a BW ≥2 500 g, the 5 dating methods were compared in terms of mean signed difference ± SD and absolute number of days ± SD between EDD and ADD (indicating systematic error, bias and precision, respectively). We analysed the influence of clinical variables – such as age, parity, body mass index (BMI), uterine size and duration of amenorrhoea at booking – on the absolute differences between LMP-based GA, FH-based GA and US-based GA in pregnancies for which ≥2 dating methods were available. Percentages of (assumed) post-term or pre-term deliveries, SGA and LGA infants were compared between subgroups according to the timing of the US.
Data were analysed with
SPSS (version 16) and Epi Info (version 3.5.1). Continuous
variables were analysed with Student’s t-test
if the distribution was normal, otherwise with Mann-Whitney-U
or Kruskal-Wallis tests. Associations of variables were
determined using Spearman correlational analysis. Discrete
data was analysed using a chi-square test. Tests were
two-tailed and considered significant when p<0.05.
Of the original 1 500 women, 1 342 were suitable for this
analysis (666 in the control group and 676 in the study
group). The following were excluded: twins (n=17),
prenatally detected fetal anomaly (n=9),
early pregnancy loss (n=18), asymmetric fetal biometry
on 1st US (n=5), later confirmed as not
pregnant (n=13), and dating information not
available (n=30) or insufficient (n=66).
The mean age was 25.3 (SD ±5.4) years; the mean BMI was
26.2 (SD ±6.0) kg/m2; and 23% of women were obese
(Table 1). By best clinical estimate, 61.3% booked before 24
weeks. The majority of women reported certain LMP dates (56%)
while 21.9% were uncertain. The change in policy increased
exposure to any US from 62.5% to 88.9% of women. Exposure to
the 1st US at <18 weeks rose from 6.8% to 37.3%, at <24
weeks from 55.0% to 65.1%, and at >24 weeks from 7.2% to
23.8% (p<0.001). The LMP and FH were
concordant within accepted tolerance intervals in 450/647
women (69.6%). Differences between LMP-based and FH-based GA
were smaller with lower BMI (p=0.009) and smaller FH (p<0.001)
but were not affected by whether the LMP was reported as
certain or not.
US contributed to final
dating in 1 017 (75.8%) women, confirming
the LMP in 362 (35.6%) but refuting it in 455 (44.7%)
pregnancies. Differences between the LMP-based and US-based GA
were smaller with earlier US (p<0.001) and if the LMP was
certain (p<0.001) or compatible with FH
(p<0.005). The difference
between US-based and FH-based GA increased with BMI (from mean
4.4, SD ±16.0
days for BMI <25 kg/m2 to mean 11.1, SD ±15.3 days for BMI
>35 kg/ m2, p=0.001). Large differences
occurred more often in heavier women (Fig. 1) and large
overestimations of >3 weeks were more common than
underestimations (113 v. 23 women, p<0.001;
odds ratio (OR) 5.85, 95% confidence interval (CI) 3.60 -
9.57). The discrepancy between the clinical and US-based GA
increased with age (p=0.02), gravidity (p=0.05)
and 1st FH (p<0.001) and was smallest with
a clinical GA between 16 - 24 weeks.
Fig. 1. Percentage of women with large differences between GA according to US or FH, for different BMI categories. (For BMI >30 kg/m2 v. ≤25 kg/m2 at ≥14 days, p<0.05; for BMI >25 kg/m2 v. ≤25 kg/ m2 at ≥21 days, p<0.01.)
Outcomes, defined according
to the final GA at delivery, were analysed in all women with
known ADD and BW and stratified according to US exposure
(Table 2). It appeared that pre-or post-term deliveries and
LGA infants occurred far more frequently in women who were not
scanned than those who were (p=0.03, p<0.001
and p<0.01; respectively) and
SGA-infants were picked up more often in women who were
scanned <24 weeks than in those scanned later or not at all
The accuracy of ADD prediction was assessed in 875/1 342 women after the following exclusions: elective deliveries (n=170), lost to follow up (n=157), BW <2 500 g (n=140). All dating methods performed better with early presentation and assessment, and worse with earlier delivery and lower BW, but were hardly affected by maternal characteristics and certainty of the LMP as recorded in the patient’s notes (data not shown). Median signed differences between ADD and all EDD were small but had wide CIs: 3 days for LMP (95% CI -35 - 57), 0 days for FH (95% CI -35 - 32), 3 days for US (95% CI -11 - 21) and 3 days for final GA (95% CI -17 - 27). Absolute differences were smallest for US compared with LMP, FH and clinical GA (median 7 days; 95% CI 1 - 46; p<0.001) and largest for LMP compared with all other methods (median 12 days; 95% CI 1 - 64; p<0.001). This was mostly notable when LMP was uncertain (median 15 days; 95% CI 1 - 73) or incompatible with FH (median 33 days; 95% CI 1 - 135) and for FH (median 13 days; 95% CI 1 - 39), especially when FH was not compatible with LMP (median 17 days; 95% CI 1 - 44). The error was worse for the clinical GA compared with the final GA estimation (median 12 days; 95% CI 1 - 46 v. median 8 days; 95% CI 1 - 33; p<0.001) even when LMP and FH seemed compatible with one another (median 11 days; 95% CI 1 - 43).
The absolute difference
between US-based EDD and ADD increased with advancing US-based
GA. US-based dating performed best before 20 weeks (median 6
days; 95% CI 0 - 19; p<0.005) and worst after
30 weeks (median 10.5 days; 95% CI 1 - 29) but was
similar at 20 - 24 weeks (median 7 days; 95% CI 0 - 22)
and at 24 - 30 weeks (median 9 days; 95% CI 1 – 22; p=0.07).
Final EDD prediction was similar for all dating where US was
involved, whether the LMP tolerance intervals were allowed or
not. Final EDD prediction was significantly worse in the
absence of US, independent of whether either the LMP or FH
were used as the single dating method. Prediction of ADD
within short intervals was better with LMP than with FH (Fig.
2); a certain LMP date was not, however, more accurate than an
uncertain one (Fig. 3). Prediction was significantly better
for final GA, than clinical estimation but was best with US
only (particularly if undertaken before 20 weeks) (Figs
2 and 3). When US contributed to the final dating
(either confirming or refuting the LMP), the OR for
spontaneous onset of labour within 14 days of EDD was 5.80
(95% CI 4.08 - 8.25) when compared with dating based on the
LMP and/or FH only (p<0.001).
Fig 2. Percentage of women delivering within 14 days of the delivery date predicted by the different dating methods with known date of delivery, spontaneous onset of labour and BW ≥2 500 g. (For US v. LMP, FH and clinical for all time intervals, p<0.005; for US v. final for ≥3 days, p<0.005; for final v. LMP, FH and clinical for all intervals, p<0.05; for FH v. LMP or clinical for intervals upto 7 days, p<0.05.)
Fig 3. Percentage of women delivering within 14 days of the delivery date predicted by the different dating methods, with known date of delivery, spontaneous onset of labour and BW ≥2 500 g. (For US <20 weeks v. later US and LMP for all time intervals, p<0.05; for US <20 weeks v. final with US for >3 days, p<0.05 and v. <3 days, p=0.06; for final with US v. final without US for all time intervals, p<0.05; for certain LMP v. uncertain LMP for all intervals, p>0.05.)
This study was performed in a low-resource setting where, according to current provincial policy, only women clinically <24 weeks pregnant routinely have access to US. For women who book later, comprising approximately one-third of this study population, pregnancy dating relies entirely on clinical assessment for which there exists a published guideline that is widely taught, promoted and used throughout SA. The current intervention provided the opportunity to test the accuracy of this guideline since the 2nd arm of the study enabled all women to access US services, irrespective of their GA at time of booking. The chief result of our analysis was that US-based dating is more accurate in predicting spontaneous labour than the LMP and FH, either alone or in combination.
As expected,1 , 12 the LMP was uncertain in 44% of cases and considerably different from the US-based GA (37.0% of cases when the LMP was certain and 48.8% of cases when uncertain). These discrepancies are worse than those reported from affluent countries or research settings in other resource-poor areas,1 , 7 , 12 , 19 but consistent with previous results in the SA population.15 LMP-EDD had the largest absolute error and wide CIs. This finding was comparable to one study,19 but less so to others.11 , 12 . This may be related to poor history-taking1 or a high incidence of late presentation and unplanned pregnancies.20 , 21 The LMP-based dating was most likely to result in overestimation of the true GA as has been shown previously. 22 US-based dating more often refuted, rather than confirmed, the LMP-based GA. Large over-and underestimations1 , 11 , 12 could not be anticipated from the history of the LMP but were often suspected clinically.
First FH-based GA was compatible with the LMP-based GA in 69.5% of women and with US-based dating in 83.8%, which is worse than found by others,19 but better than previously reported locally. 15 FH information was however missing in 34.8% of women and not compared with US in 56%, causing potential bias. FH-based dating fared better when compatible with LMP-based GA but performed worse with increasing obesity, in keeping with reports that high BMI limits accuracy of FH assessment of fetal size or growth.23 Together with the poor reproducibility and wide variation of FH for a given GA,2 , 5 the utility of FH for pregnancy dating is limited, especially where late presentation and obesity are common, as in SA. Pregnancy dating by FH was associated with the lowest percentage of spontaneous labours close to FH-EDD but our results were similar to earlier studies that included patients with lower BMIs and not dissimilar to those that employed a multiple FH-measures model. 5 , 6 , 19
Clinical estimation of GA according to the recommended guideline, i.e. using certain LMP-based GA with defined tolerance intervals for FH-based GA, lead to wide CIs and appeared to perform best when it was based on the LMP rather than FH. However, of 679 women for whom LMP-based GA was chosen, FH-based GA was compatible for 450. FH data to assess the validity of the LMP-based GA were lacking in the remainder. It is plausible, therefore, that the clinical estimation might have fared better if FH had been more consistently measured prior to US. Our data, however, illustrate the difficulty in choosing between the LMP-based and FH-based GA when there is absence of concurrence, unless the difference is very large and the LMP-based GA cannot possibly be correct. Since FH-based dating generally performed worse than LMP-based dating, a larger tolerance interval may need to be considered before refuting a certain LMP-based GA.
As previously noted,1 , 11 , 12 US had the smallest absolute error and narrowest distribution despite including patients (22.1%) who underwent late US13 , 14 and relying on European sample-based biometry reference ranges generated for assessment of fetal growth rather than GA. Our results (57% of deliveries within 7 days and 85% within 14 days; 95% CI -11 - 21) were in keeping with other studies that used dating formulae based on early or mid-gestation US,1 , 9 , 11 , 14 , 19 in line with the limited biological variability in early fetal biometry and reports of better dating with 1st trimester US.24 The absolute error and close ADD prediction of US dating between 20 and 24 weeks was comparable to US dating >24 weeks, but was significantly better if done <20 weeks. With the current provincial US policy, scans <18 weeks represent only one tenth of all US, while most 1st scans are performed between 20 and 24 weeks (despite the recommendation of 18 - 20 weeks as the optimal time). An assessment of whether US-based dating >20 weeks in this population can be improved upon by using validated population-based dating formulae,12 , 25 or dating formulae designed for late US,13 , 14] may prove worthwhile. Moreover, this may be more efficient than increasing the number of early US examinations by offering a booking scan for all women –the associated significant increase in US workload16 is currently not affordable in SA’s public health service.
information, according to the published guideline,
significantly improved the accuracy of final ADD prediction
(from 27% to 42% compared with clinical prediction) and
resulted in much narrower CIs (improved from -35/+35 to
-17/+27 days). Allowing tolerance intervals for US did not
result in better final dating compared with US alone, but
final dating was substantially better when based on US (with
or without the LMP) rather than on the LMP or FH alone. Even
though a substantial proportion of dating scans were done
after 24 weeks, post-term deliveries occurred in only 4.7% of
all scanned women (Table 2), close to what is typically seen
with early US dating. 11
12 Absence of US created
significant clinical dilemmas due to over-and
under-estimations of GA based on the LMP and FH,1
22 leading to higher than expected
incidences of assumed post-and pre-term deliveries and LGA
infants. The incidence of SGA infants in women who were either
not scanned, or who were scanned late, was half that after
early US dating (7.4% v. 15.1%; p<0.001), suggesting that the
absence of early US may lead to an underestimate of the
problem of growth restriction, which is an important
contributor to adverse perinatal outcome.
As US-based dating did not perform worse than allowing a
tolerance interval for the LMP, consideration should be given to
dating by US alone, at least when done early and by experienced
sonographers. Because US pregnancy dating >24 weeks was
superior to the LMP- and FH-based methods, and not much worse
than US done at 20 - 24 weeks, routine US-based GA dating
for women presenting later than the current cut-off of 24 weeks
has merit. The accuracy of US >20 weeks, however, was
significantly worse than <20 weeks, demanding that other
solutions such as the use of specific dating formulae need to be
explored to improve US dating at later gestations. FH-based
dating cannot be trusted in the morbidly obese. When the LMP and
FH are not compatible, the error of clinical GA estimation is
very substantial. Caution is advised especially when making
clinical decisions regarding assumed pre- or post-term
pregnancies and when risk factors for growth restriction exist.
This study shows that in a
resource-poor area where late presentation, unreliable LMP
history (taking) and obesity are common, dating with US was
significantly better than a reliance on clinical methods, even
when certain LMP appeared to be compatible with FH.
1. Geirsson RT. Ultrasound instead of last menstrual period as the basis of gestational age assignment. Ultrasound Obstet Gynecol 1991;1(3):212-219. [http://dx.doi.org/10.1046/j.1469-0705.1991.01030212]
2. Bagger PV, Sindberg Eriksen P, Secher NJ, Thisted J, Westergaard L. The precision and accuracy of symphysis-fundus distance measurements during pregnancy. Acta Obstet Gynecol Scand 1985;64(5):371-374. [http://dx.doi.org/10.3109/00016348509155150]
3. Mongelli M, Gardosi J. Symphysis-fundus height and pregnancy characteristics in ultrasound-dated pregnancies. Obstet Gynecol 1999;94(4):591-594. [http://dx.doi.org/10.1016/S0029-7844(99)00380-4]
4. Thompson ML, Theron GB, Fatti LP. Predictive value of conditional centile charts for weight and fundal height in pregnancy in detecting light for gestational age births. Eur J Obstet Gynecol Reprod Biol 1997;72(1):3-8. [http://dx.doi.org/10.1016/S0301-2115(96)02643-7]
5. White L, Lee SJ, Stepniewska K, et al. Estimation of gestational age from fundal height: A solution for resource-poor settings. J R Soc Interface 2012;9(68):503-510. [http://dx.doi.org/10.1098/rsif.2011.0376]
6. Andersson R, Bergström S. Use of fundal height as a proxy for length of gestation in rural Africa. J Trop Med & Hyg 1995;98(3):169-172.
7. Neufeld LM, Haas JD, Grajéda R, Martorell R. Last menstrual period provides the best estimate of gestation length for women in rural Guatemala. Paediatr Perinat Epidemiol 2006;20(4):290-298. [http://dx.doi.org/10.1111/j.1365-3016.2006.00741.x]
8. Perni SC, Chervenak FA, Kalish RB, et al. Intraobserver and interobserver reproducibility of fetal biometry. Ultrasound Obstet Gynecol 2004;24(6):654-658. [http://dx.doi.org/10.1002/uog.1717]
9. Tunón K, Eik-Nes SH, Grøttum P. The impact of fetal, maternal and external factors on prediction of the day of delivery by the use of ultrasound. Ultrasound Obstet Gynecol 1998;11(2):99-103. [http://dx.doi.org/10.1046/j.1469-0705.1998.11020099.x]
10. American College of Obstetricians and Gynecologists. ACOG Practice Bulletin No. 101: Ultrasonography in pregnancy. Obstet Gynecol 2009;113(2):451-461. [http://dx.doi.org/10.1097/AOG.0b013e31819930b0]
11. Mongelli M, Wilcox M, Gardosi J. Estimating the date of confinement: Ultrasonographic biometry versus certain menstrual dates. Am J Obstet Gynecol 1996;174(1):278-281. [http://dx.doi.org/10.1016/S0002-9378(96)70408-8]
12. Tunón K, Eik-Nes SH, Grøttum P. A comparison between ultrasound and a reliable last menstrual period as predictors of the day of delivery in 15 000 examinations. Ultrasound Obstet Gynecol 1996;8(3):178-185. [http://dx.doi.org/10.1046/j.1469-0705.1996.08030178.x]
13. Mongelli M, Chew S, Yuxin NG, Biswas A. Third-trimester ultrasound dating algorithms derived from pregnancies conceived with artificial reproductive techniques. Ultrasound Obstet Gynecol 2005;26(2):129-131. [http://dx.doi.org/10.1002/uog.1939]
14. Mongelli M, Yuxin NG, Biswas A, Chew S. Accuracy of ultrasound dating formulae in the late second-trimester in pregnancies conceived with in-vitro fertilization. Acta Radiol 2003;44(4):452-455. [http://dx.doi.org/10.1034/j.1600-0455.2003.00089.x]
15. Geerts L, Theron AM, Grove D, Theron GB, Odendaal HJ. A community-based obstetric ultrasound service. Int J Gynecol Obstet 2004;84(1):23-31. [http://dx.doi.org/10.1016/S0020-7292(03)00310-2]
16. Poggenpoel EJ, Geerts LTGM, Theron GB. The value of adding a universal booking scan to an existing protocol of routine mid-gestation ultrasound scan. Int J Gynecol Obstet 2012;116(3):201-205. [http://dx.doi.org/10.1016/j.ijgo.2011.10.027]
17. Perinatal Education Programme. Maternal Care Manual. Cape Town: Electric Book Works, 2010:20-21.
18. Theron GB, Thompson ML. A centile chart for birth weight for an urban population of the Western Cape. S Afr Med J 1995;85(12):1289-1292.
19. Jehan I, Zaidi S, Rizvi S, et al. Dating gestational age by last menstrual period, symphysis-fundal height, and ultrasound in urban Pakistan. Int J Gynaecol Obstet 2010;110(3):231-234. [http://dx.doi.org/10.1016/j.ijgo.2010.03.030]
20. Solarin I, Black V. ‘They Told Me to Come Back’: Women’s antenatal care booking experience in inner-city Johannesburg. Matern Child Health J 2013;17(2):359-367. [http://dx.doi.org/10.1007/s10995-012-1019-6]
21. Hubacher D, Mavranezouli I, McGinn E. Unintended pregnancy in sub-Saharan Africa: Magnitude of the problem and potential role of contraceptive implants to alleviate it. Contraception 2008;78(1):73-78. [http://dx.doi.org/10.1016/j.contraception.2008.03.002]
22. Gardosi J, Vanner T, Francis A. Gestational age and induction of labour for prolonged pregnancy. Br J Obstet Gynaecol 1997;104(7):792-797. [http://dx.doi.org/10.1111/j.1471-0528.1997.tb12022.x]
23. Stuart JM, Healy TJ, Sutton M, Swingler GR. Symphysis-fundus measurements in screening for small-for-dates infants: A community based study in Gloucestershire. J R Coll Gen Pract 1989;39(319):45-48.
24. Salomon LJ, Pizzi C, Gasparrini A, Bernard JP, Ville Y. Prediction of the date of delivery based on first trimester ultrasound measurements: An independent method from estimated date of conception. J Matern Fetal Neonatal Med 2010;23(1):1-9. [http://dx.doi.org/10.3109/14767050903078672]
25. Okland I, Gjessing HK, Grøttum P, Eggebø TM, Eik-Nes SH. A new population-based term prediction model vs. two traditional sample-based models: validation on 9046 ultrasound examinations. Ultrasound Obstet Gynecol 2011;37(2):207-213. [http://dx.doi.org/10.1002/uog.7728]
Accepted 15 April 2013.
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