MR Volumetry of Brain and CSF in Fetuses Referred for Ventriculomegaly

Kazan-Tannus, Joao Fernando; Dialani, Vandana; Kataoka, Milliam L.; Chiang, Gloria; Feldman, Henry A.; Brown, Jeffrey S.; Levine, Deborah

doi:10.2214/ajr.07.2073

Cited by 43 publications

(49 citation statements)

References 35 publications

(38 reference statements)

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“…Earlier studies used manual segmentation, which is a time-consuming method that limits its applicability to large datasets and is largely sensitive to inter-rater variability [22,23]. More recent studies proposed automatic and semi-automatic methods for volume reconstruction [24,25] or registration of the MRI scans to an appropriate atlas [26][27][28].…”

Section: Discussionmentioning

confidence: 99%

Automatic Measurement of Fetal Brain Development from Magnetic Resonance Imaging: New Reference Data

et al. 2017

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Background: Accurate fetal brain volume estimation is of paramount importance in evaluating fetal development. The aim of this study was to develop an automatic method for fetal brain segmentation from magnetic resonance imaging (MRI) data, and to create for the first time a normal volumetric growth chart based on a large cohort. Subjects and Methods: A semi-automatic segmentation method based on Seeded Region Growing algorithm was developed and applied to MRI data of 199 typically developed fetuses between 18 and 37 weeks' gestation. The accuracy of the algorithm was tested against a sub-cohort of ground truth manual segmentations. A quadratic regression analysis was used to create normal growth charts. The sensitivity of the method to identify developmental disorders was demonstrated on 9 fetuses with intrauterine growth restriction (IUGR). Results: The developed method showed high correlation with manual segmentation (r² = 0.9183, p < 0.001) as well as mean volume and volume overlap differences of 4.77 and 18.13%, respectively. New reference data on 199 normal fetuses were created, and all 9 IUGR fetuses were at or below the third percentile of the normal growth chart. Discussion: The proposed method is fast, accurate, reproducible, user independent, applicable with retrospective data, and is suggested for use in routine clinical practice.

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Section: Discussionmentioning

confidence: 99%

Automatic Measurement of Fetal Brain Development from Magnetic Resonance Imaging: New Reference Data

et al. 2017

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“…There are numerous clinical applications for solid abdominal organ volumetry [19][20][21][22][23][24][25][26] but organ volume assessments are not routinely performed, partly because of the extensive user input and time required with the current Fig. 5 Receiver operating characteristic curve, between total adrenal gland volumetry and mortality, showing a sensitivity of 69% and a specificity of 94% with an AUC=0.86 for a cutoff at 10 cm 3 Fig.…”

Section: Discussionmentioning

confidence: 99%

Adrenal gland volume measurement in septic shock and control patients: a pilot study

et al. 2010

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The present study reports that with semi-automated software, adrenal gland volume can be measured easily and reproducibly. Adrenal gland volume was found to be nearly double in sepsis compared with control patients. The absence of increased volume during sepsis would appear to be associated with a higher rate of mortality and may represent a prognosis factor which may help the clinician to guide their strategy.

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“…Single-shot fast spin-echo imaging was performed in the fetal sagittal, coronal, and axial planes using parameters described previously. [13] A radiologist was present to monitor the study as it was being performed, allowing for repetition of sequences if quality was obscured by fetal motion or an oblique image plane. MR studies were performed on the same day as US imaging in 350/374 (94%) cases, 1 day later in 7/374 (2%) cases, 2 days later in 3/374 (1%) cases, 3 days later in 5/374 (1%) cases, 4 days later in 2/374 (0.5%) cases, 5 days later in 1/374 (0.2%) case, and 6 days later in 5/374 (1%) cases.…”

Section: Methodsmentioning

confidence: 99%

Ultrasound and MRI of Fetuses With Ventriculomegaly: Can Cortical Development Be Used to Predict Postnatal Outcome?

Estroff²,

Mehta³

et al. 2011

American Journal of Roentgenology

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OBJECTIVE To assess conspicuity of brain cortical maturation by sonography and magnetic resonance imaging (MRI) in fetuses referred for ventriculomegaly, and to determine if sulcal visualization can be used to predict postnatal outcomes. METHODS 374 fetuses referred for ventriculomegaly (gestational age 16 to 41 weeks, mean 26 weeks), were imaged by sonography and MRI. Four to six radiologists rated visualization of 19 fissures/sulci. Majority opinion regarding sulcal visualization was compared amongst fetuses categorized by central nervous system (CNS) abnormality: normal, isolated ventriculomegaly, and ventriculomegaly with additional CNS abnormalities. Liveborn infants were separated into normal and abnormal developmental categories. Logistic regression was used to correlate sulcal visualization and postnatal development. A sub-analysis was performed in fetuses who had prenatally been classified as either having normal brains or isolated ventriculomegaly. RESULTS Cortical sulci were visualized more frequently and at an earlier gestational age by MR than by ultrasound. In the entire cohort, the odds ratio of normal development ranged from 3.1–10.0 whenever the calcarine, parieto-occipital, cingulate, superior temporal, precentral or postcentral sulcus was seen on MR. In fetuses categorized as having normal brains or having isolated VM, the odds ratio of normal development ranged from 3.5–9.0 whenever the parieto-occipital, cingulate, or superior temporal sulcus was seen. DISCUSSION Fetal brain sulcal visualization is dependent on the imaging modality used and gestational age at time of imaging. Information regarding sulcal visualization may aid in counseling patients carrying fetuses with ventriculomegaly.

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MR Volumetry of Brain and CSF in Fetuses Referred for Ventriculomegaly

Abstract: Supratentorial parenchyma and lateral ventricular volumes can be reliably measured on fetal MRI, and imaging plane was not an important factor in measurement. Further studies are needed to correlate these indexes with long-term postnatal outcomes.

Cited by 43 publications

References 35 publications

Automatic Measurement of Fetal Brain Development from Magnetic Resonance Imaging: New Reference Data

Automatic Measurement of Fetal Brain Development from Magnetic Resonance Imaging: New Reference Data

Adrenal gland volume measurement in septic shock and control patients: a pilot study

Ultrasound and MRI of Fetuses With Ventriculomegaly: Can Cortical Development Be Used to Predict Postnatal Outcome?

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