scholarly journals OP05.05: Validity and reliability of fetal brain MRI in ventricular volume measurement

2010 ◽  
Vol 36 (S1) ◽  
pp. 66-66
Author(s):  
K. K. Haratz ◽  
E. Q. Barreto ◽  
P. S. Oliveira ◽  
P. M. Nowak ◽  
L. C. Rolo ◽  
...  
Keyword(s):  
Brain Mri ◽  
Fetal Brain ◽  
Ventricular Volume ◽  
Volume Measurement ◽  
Validity And Reliability

Normal cerebral ventricular volume growth in childhood

2020 ◽  
Vol 26 (5) ◽  
pp. 517-524
Author(s):  
Noah S. Cutler ◽  
Sudharsan Srinivasan ◽  
Bryan L. Aaron ◽  
Sharath Kumar Anand ◽  
Michael S. Kang ◽  
...  
Keyword(s):  
Brain Mri ◽  
Volume Growth ◽  
Ventricular Volume ◽  
Growth Patterns ◽  
Diagnostic Process ◽  
Growth Charts ◽  
Normal Brain ◽  
Mr Images ◽  
Ventricular Volumes ◽  
Brain Mr Images

OBJECTIVENormal percentile growth charts for head circumference, length, and weight are well-established tools for clinicians to detect abnormal growth patterns. Currently, no standard exists for evaluating normal size or growth of cerebral ventricular volume. The current standard practice relies on clinical experience for a subjective assessment of cerebral ventricular size to determine whether a patient is outside the normal volume range. An improved definition of normal ventricular volumes would facilitate a more data-driven diagnostic process. The authors sought to develop a growth curve of cerebral ventricular volumes using a large number of normal pediatric brain MR images.METHODSThe authors performed a retrospective analysis of patients aged 0 to 18 years, who were evaluated at their institution between 2009 and 2016 with brain MRI performed for headaches, convulsions, or head injury. Patients were excluded for diagnoses of hydrocephalus, congenital brain malformations, intracranial hemorrhage, meningitis, or intracranial mass lesions established at any time during a 3- to 10-year follow-up. The volume of the cerebral ventricles for each T2-weighted MRI sequence was calculated with a custom semiautomated segmentation program written in MATLAB. Normal percentile curves were calculated using the lambda-mu-sigma smoothing method.RESULTSVentricular volume was calculated for 687 normal brain MR images obtained in 617 different patients. A chart with standardized growth curves was developed from this set of normal ventricular volumes representing the 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles. The charted data were binned by age at scan date by 3-month intervals for ages 0–1 year, 6-month intervals for ages 1–3 years, and 12-month intervals for ages 3–18 years. Additional percentile values were calculated for boys only and girls only.CONCLUSIONSThe authors developed centile estimation growth charts of normal 3D ventricular volumes measured on brain MRI for pediatric patients. These charts may serve as a quantitative clinical reference to help discern normal variance from pathologic ventriculomegaly.

Right ventricular volume measurement with single-plane Simpson's method based on a new half-circle model

2004 ◽  
Vol 94 (2-3) ◽  
pp. 289-292 ◽  
Author(s):  
Wei Cui ◽  
Hirofumi Anno ◽  
Takeshi Kondo ◽  
Yuyin Guo ◽  
Takahisa Sato ◽  
...  
Keyword(s):  
Right Ventricular ◽  
Ventricular Volume ◽  
Volume Measurement ◽  
Right Ventricular Volume ◽  
Single Plane ◽  
Circle Model

scholarly journals In utero MRI identifies consequences of early-gestation alcohol drinking on fetal brain development in rhesus macaques

2020 ◽  
Vol 117 (18) ◽  
pp. 10035-10044
Author(s):  
Xiaojie Wang ◽  
Verginia C. Cuzon Carlson ◽  
Colin Studholme ◽  
Natali Newman ◽  
Matthew M. Ford ◽  
...  
Keyword(s):  
White Matter ◽  
Brain Development ◽  
Ex Vivo ◽  
Early Recognition ◽  
Brain Mri ◽  
Fetal Brain ◽  
Fetal Mri ◽  
Diffusion Anisotropy ◽  
Self Administration ◽  
White Matter Tracts

One factor that contributes to the high prevalence of fetal alcohol spectrum disorder (FASD) is binge-like consumption of alcohol before pregnancy awareness. It is known that treatments are more effective with early recognition of FASD. Recent advances in retrospective motion correction for the reconstruction of three-dimensional (3D) fetal brain MRI have led to significant improvements in the quality and resolution of anatomical and diffusion MRI of the fetal brain. Here, a rhesus macaque model of FASD, involving oral self-administration of 1.5 g/kg ethanol per day beginning prior to pregnancy and extending through the first 60 d of a 168-d gestational term, was utilized to determine whether fetal MRI could detect alcohol-induced abnormalities in brain development. This approach revealed differences between ethanol-exposed and control fetuses at gestation day 135 (G135), but not G110 or G85. At G135, ethanol-exposed fetuses had reduced brainstem and cerebellum volume and water diffusion anisotropy in several white matter tracts, compared to controls. Ex vivo electrophysiological recordings performed on fetal brain tissue obtained immediately following MRI demonstrated that the structural abnormalities observed at G135 are of functional significance. Specifically, spontaneous excitatory postsynaptic current amplitudes measured from individual neurons in the primary somatosensory cortex and putamen strongly correlated with diffusion anisotropy in the white matter tracts that connect these structures. These findings demonstrate that exposure to ethanol early in gestation perturbs development of brain regions associated with motor control in a manner that is detectable with fetal MRI.

Comparison of left and right ventricular volume measurement using the Simpson's method and the area length method

2008 ◽  
Vol 65 (2) ◽  
pp. 270-278 ◽  
Author(s):  
Klaus Hergan ◽  
Antonius Schuster ◽  
Julia Frühwald ◽  
Michael Mair ◽  
Ralph Burger ◽  
...  
Keyword(s):  
Right Ventricular ◽  
Ventricular Volume ◽  
Volume Measurement ◽  
Right Ventricular Volume ◽  
Left And Right

scholarly journals Early Findings in Neonatal Cases of RYR1–Related Congenital Myopathies

2021 ◽  
Vol 12 ◽  
Author(s):  
Eleonora Mauri ◽  
Daniela Piga ◽  
Alessandra Govoni ◽  
Roberta Brusa ◽  
Serena Pagliarani ◽  
...  
Keyword(s):  
Ryanodine Receptor ◽  
Brain Mri ◽  
Fetal Brain ◽  
Congenital Myopathy ◽  
Receptor Type ◽  
Congenital Myopathies ◽  
Muscle Mri ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

Ryanodine receptor type 1-related congenital myopathies are the most represented subgroup among congenital myopathies (CMs), typically presenting a central core or multiminicore muscle histopathology and high clinical heterogeneity. We evaluated a cohort of patients affected with Ryanodine receptor type 1-related congenital myopathy (RYR1-RCM), focusing on four patients who showed a severe congenital phenotype and underwent a comprehensive characterization at few months of life. To date there are few reports on precocious instrumental assessment. In two out of the four patients, a muscle biopsy was performed in the first days of life (day 5 and 37, respectively) and electron microscopy was carried out in two patients detecting typical features of congenital myopathy. Two patients underwent brain MRI in the first months of life (15 days and 2 months, respectively), one also a fetal brain MRI. In three children electromyography was performed in the first week of life and neurogenic signs were excluded. Muscle MRI obtained within the first years of life showed a typical pattern of RYR1-CM. The diagnosis was confirmed through genetic analysis in three out of four cases using Next Generation Sequencing (NGS) panels. The development of a correct and rapid diagnosis is a priority and may lead to prompt medical management and helps optimize inclusion in future clinical trials.

scholarly journals Automatic linear measurements of the fetal brain on MRI with deep neural networks

2021 ◽  
Author(s):  
Netanell Avisdris ◽  
Bossmat Yehuda ◽  
Ori Ben-Zvi ◽  
Daphna Link-Sourani ◽  
Liat Ben-Sira ◽  
...  
Keyword(s):  
Human Error ◽  
Brain Mri ◽  
Fetal Brain ◽  
Region Of Interest ◽  
Fetal Mri ◽  
Brain Structures ◽  
Automatic Method ◽  
Linear Measurements ◽  
Biparietal Diameter ◽  
Reliable Assessment

Abstract Purpose: Timely, accurate and reliable assessment of fetal brain development is essential to reduce short and long-term risks to fetus and mother. Fetal MRI is increasingly used for fetal brain assessment. Three key biometric linear measurements important for fetal brain evaluation are Cerebral Biparietal Diameter (CBD), Bone Biparietal Diameter (BBD), and Trans-Cerebellum Diameter (TCD), obtained manually by expert radiologists on reference slices, which is time consuming and prone to human error. The aim of this study was to develop a fully automatic method computing the CBD, BBD and TCD measurements from fetal brain MRI.Methods: The input is fetal brain MRI volumes which may include the fetal body and the mother's abdomen. The outputs are the measurement values and reference slices on which the measurements were computed. The method, which follows the manual measurements principle, consists of five stages: 1) computation of a Region Of Interest that includes the fetal brain with an anisotropic 3D U-Net classifier; 2) reference slice selection with a Convolutional Neural Network; 3) slice-wise fetal brain structures segmentation with a multiclass U-Net classifier; 4) computation of the fetal brain midsagittal line and fetal brain orientation, and; 5) computation of the measurements. Results: Experimental results on 214 volumes for CBD, BBD and TCD measurements yielded a mean difference of 1.55mm, 1.45mm and 1.23mm respectively, and a Bland-Altman 95% confidence interval (I of 3.92mm, 3.98mm and 2.25mm respectively. These results are similar to the manual inter-observer variability, and are consistent across gestational ages and brain conditions.Conclusions: The proposed automatic method for computing biometric linear measurements of the fetal brain from MR imaging achieves human level performance. It has the potential of being a useful method for the assessment of fetal brain biometry in normal and pathological cases, and of improving routine clinical practice.

scholarly journals Automatic quantification of normal cortical folding patterns from fetal brain MRI

NeuroImage ◽  
2014 ◽  
Vol 91 ◽  
pp. 21-32 ◽  
Author(s):  
R. Wright ◽  
V. Kyriakopoulou ◽  
C. Ledig ◽  
M.A. Rutherford ◽  
J.V. Hajnal ◽  
...  
Keyword(s):  
Brain Mri ◽  
Fetal Brain ◽  
Cortical Folding ◽  
Automatic Quantification

scholarly journals Fetal and Postnatal Brain Imaging for the Detection of ZIKV Encephalopathy in the Fetus/Newborn

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S22-S22
Author(s):  
Sarah Mulkey ◽  
Gilbert Vezina ◽  
Yamil Fourzali ◽  
Dorothy Bulas ◽  
Margarita Arroyave-Wessel ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Imaging Modality ◽  
Brain Mri ◽  
Cerebellar Atrophy ◽  
Fetal Brain ◽  
Fetal Mri ◽  
Zikv Infection ◽  
Chiari Ii ◽  
Brain Changes ◽  
Prospective Longitudinal

Abstract Background Up to 15% of pregnancies complicated by maternal ZIKV infection result in Zika-virus associated brain abnormalities in the fetus/newborn. Fetal ultrasound (feUS) is the standard imaging modality for the evaluation of fetal anatomy and for brain changes from congenital infection. Fetal MRI (feMRI) may be a useful adjunct. Methods We performed a prospective longitudinal neuroimaging study of fetuses/newborns of pregnant women with clinical and/or lab confirmed (RT-PCR and/or IgM/PRNT) diagnosis of Zika infection in Barranquilla, Colombia (endemic) and in Washington, DC, USA (travel-related). Gestational age (GA) at exposure and timing between ZIKV exposure/symptoms and imaging was documented. Subjects had one to two feMRIs and feUS, depending upon GA at enrollment. The feMRI and feUS protocols were standardized between sites and studies were centrally interpreted at Children’s National. Postnatally, infants received an unsedated brain MRI and head US. Results Forty-eight, ZIKV exposed/infected in first or second trimester pregnant women were enrolled (46 Colombia, 2 USA). Subjects had symptoms of ZIKV infection at mean of 8.4±5.7 week GA. The first feMRI and feUS were performed at 25.1±6.3 week GA. Thirty-six infants had a second feMRI and feUS at 31.1±4.2 week GA. Three of 48 (6%) cases had an abnormal feMRI: (1) heterotopias and abnormal cortical indent; (2) parietal encephalocele and Chiari II; (3) thin corpus callosum, dysplastic brainstem, temporal cysts, subependymal heterotopias, and generalized cerebral/cerebellar atrophy. FeUS in these three cases found (1) normal study; (2) parietal encephalocele and Chiari II; (3) significant ventriculomegaly with decreasing percentiles of head circumference from 32 to 36 week GA (38% to 3.6%). Postnatal head US revealed findings not seen on feUS: choroid plexus or germinal matrix cysts in nine infants and lenticulostriate vasculopathy in one infant. Conclusion FeMRI and feUS provide complimentary information in the assessment of fetal brain changes in ZIKV. In cases of abnormal brain structure, feMRI reveals more extensive areas of brain damage than is seen by US. Further studies are needed to determine whether cystic changes on postnatal head US are related to ZIKV infection, or are incidental findings. Disclosures All authors: No reported disclosures.

scholarly journals Automated template-based brain localization and extraction for fetal brain MRI reconstruction

NeuroImage ◽  
2017 ◽  
Vol 155 ◽  
pp. 460-472 ◽  
Author(s):  
Sébastien Tourbier ◽  
Clemente Velasco-Annis ◽  
Vahid Taimouri ◽  
Patric Hagmann ◽  
Reto Meuli ◽  
...  
Keyword(s):  
Brain Mri ◽  
Fetal Brain ◽  
Brain Localization ◽  
Mri Reconstruction
Sign in / Sign up

Export Citation Format

Share Document