ArticleAJNR. American journal of neuroradiology2017
Volume of Structures in the Fetal Brain Measured with a New Semiautomated Method.
Article in AJNR. American journal of neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- ComBat-Predict Enhances Generalizability of Neuroimaging Models to New Sites.Human brain mapping · 2026Article
- Super-resolution MRI-derived brainstem and cerebellar volumes in fetuses between 22 weeks and 32 weeks of gestation.Pediatric radiology · 2026Article
- Age-Specific Biometric Ratios of the Posterior Fossa in Pediatric Neuroimaging: Establishing Normative Reference Values.Iranian journal of child neurology · 2026Article
- Automatic biometry of fetal brain MRIs using deep and machine learning techniques.Scientific reports · 2023Article
- Sexual dimorphism of the fetal brain biometry: an MRI-based study.Archives of gynecology and obstetrics · 2023Article
- Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria.NeuroImage · 2023Article
- Volumetric Brain MRI Study in Fetuses with Intrauterine Growth Restriction Using a Semiautomated Method.AJNR. American journal of neuroradiology · 2022Article
- Value of pre- and postnatal magnetic resonance imaging in the evaluation of congenital central nervous system anomalies.Pediatric radiology · 2022Review
- Correlation between 2D and 3D Fetal Brain MRI Biometry and Neurodevelopmental Outcomes in Fetuses with Suspected Microcephaly and Macrocephaly.AJNR. American journal of neuroradiology · 2021Article
- Twin discordance: a study of volumetric fetal brain MRI and neurodevelopmental outcome.European radiology · 2021Article
- Normative linear and volumetric biometric measurements of fetal brain development in magnetic resonance imaging.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2020Article
- Biometry of the Cerebellar Vermis and Brain Stem in Children: MR Imaging Reference Data from Measurements in 718 Children.AJNR. American journal of neuroradiology · 2019Article
- Volumetric MRI Study of the Brain in Fetuses with Intrauterine Cytomegalovirus Infection and Its Correlation to Neurodevelopmental Outcome.AJNR. American journal of neuroradiology · 2019Article
- Volumetric Brain MRI Study in Fetuses with Congenital Heart Disease.AJNR. American journal of neuroradiology · 2018Article
- The volume of the cerebellum in the second semester of gestation.Clujul medical (1957) · 2018Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
background and purposeMeasuring the volume of fetal brain structures is challenging due to fetal motion, low resolution, and artifacts caused by maternal tissue. Our aim was to introduce a new, simple, Matlab-based semiautomated method to measure the volume of structures in the fetal brain and present normal volumetric curves of the structures measured. MATERIALS AND
methodsThe volume of the supratentorial brain, left and right hemispheres, cerebellum, and left and right eyeballs was measured retrospectively by the new semiautomated method in MR imaging examinations of 94 healthy fetuses. Four volume ratios were calculated. Interobserver agreement was calculated with the intraclass correlation coefficient, and a Bland-Altman plot was drawn for comparison of manual and semiautomated method measurements of the supratentorial brain.
resultsWe present normal volumetric curves and normal percentile values of the structures measured according to gestational age and of the ratios between the cerebellum and the supratentorial brain volume and the total eyeball and the supratentorial brain volume. Interobserver agreement was good or excellent for all structures measured. The Bland-Altman plot between manual and semiautomated measurements showed a maximal relative difference of 7.84%.
conclusionsWe present a technologically simple, reproducible method that can be applied prospectively and retrospectively on any MR imaging protocol, and we present normal volumetric curves measured. The method shows results like manual measurements while being less time-consuming and user-dependent. By applying this method on different cranial and extracranial structures, anatomic and pathologic, we believe that fetal volumetry can turn from a research tool into a practical clinical one.
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