Comparison of cranial ultrasound and MRI for detecting BRAIN injury in extremely preterm infants and correlation with neurological outcomes at 1 and 3 years

Burkitt, Katherine; Kang, Owen; Jyoti, Rajeev; Mohamed, Abdel‐Latif; Chaudhari, Tejasvi

doi:10.1007/s00431-019-03388-7

Cited by 24 publications

(12 citation statements)

References 32 publications

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“…Of note, some authors use the "worst" cUS of a limited number of examinations, and more recent studies emphasize the importance of a discharge and/or TEA examination. 27,37,53 With regard to brain injury, for a low-grade GMH-IVH there are increasing data about the possible adverse effect on outcome through school age. 54 As the diagnosis was based on cUS in these studies, one should take into account that subtle white matter injury and (small) cerebellar hemorrhages will have been missed and their effect on outcome may play a more important role than the low-grade IVH.…”

Section: Prediction Of Neurodevelopmental Outcome Using Cus Examinationmentioning

confidence: 99%

Neuroimaging of the Preterm Brain: Review and Recommendations

Inder

Vries

Ferriero

et al. 2021

The Journal of Pediatrics

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Section: Prediction Of Neurodevelopmental Outcome Using Cus Examinationmentioning

confidence: 99%

Neuroimaging of the Preterm Brain: Review and Recommendations

Inder

Vries

Ferriero

et al. 2021

The Journal of Pediatrics

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“…However, at present MRI remains impractical as a routine screening tool, and at times this technique identifies subtle lesions with unproven significance. Sequential cUS during the neonatal period can reliably identify many brain abnormalities enabling the prediction of abnormal neurodevelopmental outcomes at 1 year and 3 years of postnatal age (5)(6)(7). Thus, cUS remains the universal screening tool to identify and monitor brain injury in preterm neonates.…”

Section: Introductionmentioning

confidence: 99%

Consensus Approach for Standardizing the Screening and Classification of Preterm Brain Injury Diagnosed With Cranial Ultrasound: A Canadian Perspective

et al. 2021

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Acquired brain injury remains common in very preterm infants and is associated with significant risks for short- and long-term morbidities. Cranial ultrasound has been widely adopted as the first-line neuroimaging modality to study the neonatal brain. It can reliably detect clinically significant abnormalities that include germinal matrix and intraventricular hemorrhage, periventricular hemorrhagic infarction, post-hemorrhagic ventricular dilatation, cerebellar hemorrhage, and white matter injury. The purpose of this article is to provide a consensus approach for detecting and classifying preterm brain injury to reduce variability in diagnosis and classification between neonatologists and radiologists. Our overarching goal with this work was to achieve homogeneity between different neonatal intensive care units across a large country (Canada) with regards to classification, timing of brain injury screening and frequency of follow up imaging. We propose an algorithmic approach that can help stratify different grades of germinal matrix-intraventricular hemorrhage, white matter injury, and ventricular dilatation in very preterm infants.

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“…Routine neonatal brain imaging via ultrasound (US) and magnetic resonance imaging (MRI) are usually evaluated through visual qualitative assessment of the images which leads to loss of information and variability among observers (3)(4)(5)(6). To improve reproducibility in assessment of brain growth, composite and global scores have been developed that include a combination of subjective items and objective measures.…”

Section: Introductionmentioning

confidence: 99%

“…Table of predicted US TBV in cm3 based on BPD (mm), anteroposterior axis (mm), and vertical axis (mm).…”

mentioning

confidence: 99%

Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm Infant

et al. 2021

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Objectives: The aim of this study is to explore if manually segmented total brain volume (TBV) from 3D ultrasonography (US) is comparable to TBV estimated by magnetic resonance imaging (MRI). We then wanted to test 2D based TBV estimation obtained through three linear axes which would enable monitoring brain growth in the preterm infant during admission.Methods: We included very low birth weight preterm infants admitted to our neonatal intensive care unit (NICU) with normal neuroimaging findings. We measured biparietal diameter, anteroposterior axis, vertical axis from US and MRI and TBV from both MRI and 3D US. We calculated intra- and interobserver agreement within and between techniques using the intraclass correlation coefficient and Bland-Altman methodology. We then developed a multilevel prediction model of TBV based on linear measurements from both US and MRI, compared them and explored how they changed with increasing age. The multilevel prediction model for TBV from linear measures was tested for internal and external validity and we developed a reference table for ease of prediction of TBV.Results: We used measurements obtained from 426 US and 93 MRI scans from 118 patients. We found good intra- and interobserver agreement for all the measurements. US measurements were reliable when compared to MRI, including TBV which achieved excellent agreement with that of MRI [ICC of 0.98 (95% CI 0.96–0.99)]. TBV estimated through 2D measurements of biparietal diameter, anteroposterior axis, and vertical axis was comparable among both techniques. We estimated the population 95% confidence interval for the mean values of biparietal diameter, anteroposterior axis, vertical axis, and total brain volume by post-menstrual age. A TBV prediction table based on the three axes is proposed to enable easy implementation of TBV estimation in routine 2D US during admission in the NICU.Conclusions: US measurements of biparietal diameter, vertical axis, and anteroposterior axis are reliable. TBV segmented through 3D US is comparable to MRI estimated TBV. 2D US accurate estimation of TBV is possible through biparietal diameter, vertical, and anteroposterior axes.

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Comparison of cranial ultrasound and MRI for detecting BRAIN injury in extremely preterm infants and correlation with neurological outcomes at 1 and 3 years

Cited by 24 publications

References 32 publications

Neuroimaging of the Preterm Brain: Review and Recommendations

Neuroimaging of the Preterm Brain: Review and Recommendations

Consensus Approach for Standardizing the Screening and Classification of Preterm Brain Injury Diagnosed With Cranial Ultrasound: A Canadian Perspective

Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm Infant

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