Normative linear and volumetric biometric measurements of fetal brain development in magnetic resonance imaging

Cai, Shulei; Zhang, Guofu; Zhang, He; Wang, Jing

doi:10.1007/s00381-020-04633-3

Cited by 15 publications

(9 citation statements)

References 25 publications

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“…In recent years, different studies have analyzed and reported changes in fetal brain volume (Jarvis et al, 2019 ; Cai et al, 2020 ; Dovjak et al, 2021 ), but the results are inconsistent and may depend on different measurement methods and whether or not fetal movement artifacts are processed. In addition, the number of fetuses in the cohorts studied varied widely in these studies, from the smaller cohort of 25 fetuses reported by Gholipour et al ( 2017 ) to the largest cohort of 659 normal fetuses studied by Shi et al ( 2020 ), which proposed an automated fetal brain analysis method, such as brain extraction, 3D volumetric reconstruction, atlas generation, and quantification of brain development.…”

Section: Discussionmentioning

confidence: 99%

Quantification of Intracranial Structures Volume in Fetuses Using 3-D Volumetric MRI: Normal Values at 19 to 37 Weeks' Gestation

et al. 2022

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ObjectiveThe purpose of this study is to establish a reference of intracranial structure volumes in normal fetuses ranging from 19 to 37 weeks' gestation (mean 27 weeks).Materials and MethodsA retrospective analysis of 188 MRI examinations (1.5 T) of fetuses with a normal brain appearance (19–37 gestational weeks) from January 2018 to December 2021 was included in this study. Three dimensional (3-D) volumetric parameters from slice-to-volume reconstructed (SVR) images, such as total brain volume (TBV), cortical gray matter volume (GMV), subcortical brain tissue volume (SBV), intracranial cavity volume (ICV), lateral ventricles volume (VV), cerebellum volume (CBV), brainstem volume (BM), and extra-cerebrospinal fluid volume (e-CSFV), were quantified by manual segmentation from two experts. The mean, SD, minimum, maximum, median, and 25th and 75th quartiles for intracranial structures volume were calculated per gestational week. A linear regression analysis was used to determine the gestational weekly age-related change adjusted for sex. A t-test was used to compare the mean TBV and ICV values to previously reported values at each gestational week. The formulas to calculate intracranial structures volume derived from our data were created using a regression model. In addition, we compared the predicted mean TBV values derived by our formula with the expected mean TBV predicted by the previously reported Jarvis' formula at each time point. For intracranial volumes, the intraclass correlation coefficient (ICC) was calculated to convey association within and between observers.ResultsThe intracranial volume data are shown in graphs and tabular summaries. The male fetuses had significantly larger VV compared with female fetuses (p = 0.01). Measured mean ICV values at 19 weeks are significantly different from those published in the literature (p < 0.05). Means were compared with the expected TBV generated by the previously reported formula, showing statistically differences at 22, 26, 29, and 30 weeks' gestational age (GA) (all p < 0.05). A comparison between our data-derived formula and the previously reported formula for TBV showed very similar values at every GA. The predicted TBV means derived from the previously reported formula were all within the 95% confidence interval (CI) of the predicted means of this study. Intra- and inter-observer agreement was high, with an intraclass correlation coefficient larger than 0.98.ConclusionWe have shown that the intracranial structural volume of the fetal brain can be reliably quantified using 3-D volumetric MRI with a high degree of reproducibility and reinforces the existing data with more robust data in the earlier second and third stages of pregnancy.

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Section: Discussionmentioning

confidence: 99%

Quantification of Intracranial Structures Volume in Fetuses Using 3-D Volumetric MRI: Normal Values at 19 to 37 Weeks' Gestation

et al. 2022

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“…Preterm infants miss an important phase of brain growth and maturation, which would occur during the last trimester of pregnancy [ 37 ]. During this phase the cortical gray matter is already matured, but some of the most important developing stages such as the increase in the complexity of connections, axons, glial cells, and oligodendrocytes in the withe matter, will be concluded as the 3rd trimester goes by [ 38 , 39 ].…”

Section: Discussionmentioning

confidence: 99%

Meconium microbiome and its relation to neonatal growth and head circumference catch-up in preterm infants

et al. 2020

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The purpose was identify an association between meconium microbiome, extra-uterine growth restriction, and head circumference catch-up. Materials and methods: Prospective study with preterm infants born <33 weeks gestational age (GA), admitted at Neonatal Unit and attending the Follow-Up Preterm Program of a tertiary hospital. Excluded out born infants; presence of congenital malformations or genetic syndromes; congenital infections; HIV-positive mothers; and newborns whose parents or legal guardians did not authorize participation. Approved by the institution's ethics committee. Conducted 16S rRNA sequencing using PGM Ion Torrent meconium samples for microbiota analysis. Results: Included 63 newborns, GA 30±2.3 weeks, mean weight 1375.80±462.6 grams, 68.3% adequate weight for GA at birth. Polynucleobacter (p = 0.0163), Gp1 (p = 0.018), and Prevotella (p = 0.038) appeared in greater abundance in meconium of preterm infants with adequate birth weight for GA. Thirty (47.6%) children reached head circumference catch-up before 6 months CA and 33 (52.4%) after 6 months CA. Salmonella (p<0.001), Flavobacterium (p = 0.026), and Burkholderia (p = 0.026) were found to be more abundant in meconium in the group of newborns who achieved catch-up prior to 6th month CA. Conclusion: Meconium microbiome abundance was related to adequacy of weight for GA. Meconium microbiome differs between children who achieve head circumference catch-up by the 6th month of corrected age or after this period.

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“…The search identified 140 records; 30 full-text articles were assessed with respect to their eligibility for inclusion and 15 were included in the systematic review (Tables 2 and S1, Figure 1) [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] .…”

Section: Study Selection and Characteristicsmentioning

confidence: 99%

“…Two of the included studies were cross-sectional 25,29 , while in the other 13 studies, the type of data collection was unclear [19][20][21][22][23][24][26][27][28][30][31][32][33] . Eleven studies were retrospective [19][20][21][22][23][24][25]28,30,31,33 , two were prospective 27,29 and the design of the remaining two studies was unclear 26,32 .…”

Section: Study Selection and Characteristicsmentioning

confidence: 99%

Reference ranges for fetal brain structures using magnetic resonance imaging: systematic review

Mascio

Khalil

Rizzo

et al. 2022

Ultrasound in Obstet & Gyne

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What are the novel findings of this work?Our systematic review highlights the fact that previously published studies reporting fetal brain reference ranges on magnetic resonance imaging (MRI) were characterized by substantial heterogeneity and low-to-moderate methodological quality, which is similar to the findings reported for ultrasound studies. What are the clinical implications of this work?Future large prospective studies aiming to construct longitudinal growth charts for different fetal brain structures using MRI data are needed to improve prenatal diagnosis and counseling regarding fetal central nervous system anomalies.

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Normative linear and volumetric biometric measurements of fetal brain development in magnetic resonance imaging

Cited by 15 publications

References 25 publications

Quantification of Intracranial Structures Volume in Fetuses Using 3-D Volumetric MRI: Normal Values at 19 to 37 Weeks' Gestation

Quantification of Intracranial Structures Volume in Fetuses Using 3-D Volumetric MRI: Normal Values at 19 to 37 Weeks' Gestation

Meconium microbiome and its relation to neonatal growth and head circumference catch-up in preterm infants

Reference ranges for fetal brain structures using magnetic resonance imaging: systematic review

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