Fetal biometry at 14–40 weeks' gestation

Snijders, R. J. M.; Nicolaides, Kypros H.

doi:10.1046/j.1469-0705.1994.04010034.x

Cited by 487 publications

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“…The brains were not removed from the skulls. The GA at the moment of the MR imaging examination was based on sonographic data 18 and defined as the number of complete GWs.…”

Section: Methodsmentioning

confidence: 99%

Asymmetric Development of the Hippocampal Region Is Common: A Fetal MR Imaging Study

Bajic¹,

Moreira²,

Wikström³

et al. 2011

AJNR Am J Neuroradiol

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“…The brains were not removed from the skulls. The GA at the moment of the MR imaging examination was based on sonographic data 18 and defined as the number of complete GWs.…”

Section: Methodsmentioning

confidence: 99%

Asymmetric Development of the Hippocampal Region Is Common: A Fetal MR Imaging Study

Bajic¹,

Moreira²,

Wikström³

et al. 2011

AJNR Am J Neuroradiol

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“…23 The fetal weight was estimated (EFW) according to Hadlock 24 using the biparietal diameter, head and abdomen circumference and femur length. A head/abdominal circumference ratio above the 95th centile indicated asymmetric growth; 25 an AFI less than 5 cm oligohydramnios; a subjectively increased cardiothoracic ratio or pericardial effusion were considered abnormal cardiac findings; bowel was considered echogenic when comparable to bone; a middle cerebral artery PI below the fifth percentile or a placentocerebral ratio greater than 1 ( ¼ umbilical artery PI divided by middle cerebral artery PI) indicated redistribution. Small-for-gestational age (SGA) was defined as a birth weight below the 10th percentile for this population and severe SGA below the third percentile.…”

Section: Methodsmentioning

confidence: 99%

Severe early onset pre-eclampsia: prognostic value of ultrasound and Doppler assessment

Geerts

Odendaal

2007

J Perinatol

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Objective: Assess the prognostic value of ultrasound and Doppler parameters in severe preterm pre-eclampsia.Study design: Prospective cohort study in Cape Town, South Africa, involving 113 women with severe pre-eclampsia between 24 and 34 weeks of gestation and managed expectantly when suitable. Serial ultrasound and multivessel Doppler assessments were performed 2 to 3 times weekly. Observations included fetal weight estimation, growth pattern, amniotic fluid volume, appearance of the heart and bowel, pulsatility index of the uterine, umbilical and middle cerebral arteries and ductus venosus. Perinatal outcome (death or neurological compromise, n ¼ 12) and major morbidity (n ¼ 62) were related to findings at recruitment and on the last assessment preceding delivery.Results: In univariate analysis, fetal growth asymmetry and waveform analysis of all three fetal vessels significantly correlated with both end points. The initial fetal weight estimation with a cutoff weight of 1080 g had the highest sensitivity (83.3%) and negative predictive value (97.5%) for poor outcome (P<0.001) while the final ductus venosus pulsatility index had the highest specificity (92%) and positive predictive value (33%). The combination of a raised placentocerebral ratio and ductus venosus pulsatility index close to delivery had the highest (57.1%) positive predictive value. Logistic regression showed the best overall predictive model for poor outcome to be a combination of initial fetal weight estimation and final ductus venosus pulsatility index (overall accuracy 94.6%, RR 20.20 (7.36, 55.41)). The initial fetal weight estimation with a cutoff weight of 1283 g provided the best correct prediction of major morbidity (83.2% overall accuracy, sensitivity 79.0%, specificity 88.2%, positive and negative predictive values of 89.1 and 77.6% respectively). This was better than using the gestational age at recruitment or delivery, birth weight or any of the Doppler results. The prediction of morbidity was not improved by the addition of any other variable in logistic regression analysis. Conclusion:For the short-term outcome measures assessed in this study, the estimated fetal weight at the time of diagnosis is the most important prognostic factor in severe pre-eclampsia with some additional value of ductus venosus assessment.

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“…Formerly, normal biometric data were taken mainly from studies of PF biometry in ultrasonographic imaging. [8][9][10][11][12] However, MR imaging has advantages over sonography when assessing fetal PF, such as better accuracy when evaluating the vermis and better contrast resolution, which enable evaluation of the brain stem. 13,14 Therefore, during the past 2 decades, MR imaging has become an important tool to prenatally evaluate the morphology of the PF, and many studies have been published to supply valid MR imaging biometric data.…”

mentioning

confidence: 99%

Normal Fetal Posterior Fossa in MR Imaging: New Biometric Data and Possible Clinical Significance

Ber¹,

Bar‐Yosef²,

Hoffmann

et al. 2015

AJNR Am J Neuroradiol

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Fetal biometry at 14–40 weeks' gestation

Cited by 487 publications

References 0 publications

Asymmetric Development of the Hippocampal Region Is Common: A Fetal MR Imaging Study

Asymmetric Development of the Hippocampal Region Is Common: A Fetal MR Imaging Study

Severe early onset pre-eclampsia: prognostic value of ultrasound and Doppler assessment

Normal Fetal Posterior Fossa in MR Imaging: New Biometric Data and Possible Clinical Significance

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