Article Contents
Clin Exp Pediatr > Volume 67(8); 2024 |
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Study |
Risk of bias |
Applicability concerns |
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Patient selection | Index test | Reference standard | Flow and timing | Patient selection | Index test | Reference standard | |
Olivieri et al. (2021) [5] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Natu et al. (2021) [26] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Wang et al. (2019) [8] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Schmidbauer et al. (2019) [27] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Knight et al. (2018) [28] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Lee et al. (2018) [24] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Soun et al. (2017) [14] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Schneider et al. (2016) [29] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Melbourne et al. (2016) [30] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Ning et al. (2014) [22] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Nossin-Manor et al. (2013) [25] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Deoni et al. (2012) [23] | ☺ | ☺ | N/A | ☺ | ☺ | ☺ | ? |
Study | Place/country | Study period | Type of study design | Sample size | Gender (male: female) | Average gestational age (wk) | Age at MRI (wk) | MRI modality | MRI measures (s) |
Scanning time (quantitative MRI sequence) |
Findings | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
<5 min | ≥5 min | |||||||||||
Olivieri et al. (2021) [5] | Canada, North America | 2014–2018 | Prospective longitudinal study | 39 | 10:6 (neonates with NE treated with hypothermia developing brain injury) | 39.33 (neonates with NE treated with hypothermia developing brain injury) | 36–42 (neonates with NE | Relaxometry | T2* | √ | T2* values were considerably higher in neonates with NE | |
10:7 (neonates with NE treated with hypothermia not developing brain injury) | 38.99 (neonates with NE treated with hypothermia not developing brain injury) | 38–40 (healthy, term neonates) | ||||||||||
4:6 (healthy, term neonates) | 38.73 (healthy, term neonates) | |||||||||||
Natu et al. (2021) [26] | California, United States | Not stated | Prospective longitudinal study | 16 | 9:7 (term neonates) | Not mentioned | >37 | Relaxometry | T1 | √ | R1 (and thus myelin) development is increasingly faster in later visual areas than in early visual areas | |
Wang et al. (2019) [8] | London, United Kingdom | Not stated | Retrospective study | 114 | 26:32 (preterm neo nates) | 29.4 (preterm neonates) | 27–37 (preterm neonates) 37–44 (term neonates) | - | - | Not mentioned | The volume of the MLS in the deep brain region seemed to increase in a way that was proportional to the gestational age | |
30:26 (term neonates) | 29.7 (term neonates) | |||||||||||
Schmidbauer et al. (2019) [27] | Vienna, Austria | 2017-2018 | Prospective cross-sectional study | 25 | 1:6 (term neonates) | 39.0 (term neonates) | 42 (term neonates) | Relaxometry | T1, T2 | √ | Preterm newborns have considerably lower myelination values based on SyMRI than term-born neonates | |
9:9 (preterm neonates) | 25.0 (preterm neonates) | 38 (preterm neonates) | ||||||||||
Knight et al. (2018) [28] | Bristol, England | Not stated | Retrospective study | 31 | 14:6 (late preterm) | 35.0 (late preterm) | 38 (late preterm) | Relaxometry | T2 | Not mentioned | T2 is longer in extensive regions of WM for extremely preterm neonates than for late preterm group | |
6:5 (very preterm) | 27.0 (very preterm) | 37 (very preterm) | ||||||||||
Lee et al. (2018) [24] | South Korea | 2015–2016 | Prospective cross-sectionalstudy | 23 | Not specified | Not mentioned | 34–43 | Relaxometry | T1,T2 | √ | T1 and T2 of the WM areas were both quite high at birth, with a maximum value of roughly 2600 milliseconds for T1 and 280 milliseconds for T2, and declined by more than half in thefirst yearoflife | |
Soun et al. (2017) [14] | New York, United States | Not stated | Retrospective study | 10 | 8:2 (term neonates) | 38.7 | 38–40 | Relaxometry | T1,T2 | Not mentioned | The T1/T2 ratio exhibited high intensity values in the PLIC and low intensity values in the optic radiations, which is associated with the progressive brain maturation during the first few months of birth, which results in considerable spatial differences in myelin density | |
Schneider et al. (2016) [29] | Lausanne, Switzerland | 2011–2013 | Prospective longitudinal study | 39 | 20:19 (preterm neonates) | 27.0 | 1st part: 28–29 | Relaxometry | T1 | √ | Beginning around 26 weeks, the T1 values in the basal ganglia and thalamus decreased gradually due to rapid neuronal densification and continuous myelination | |
2nd part: 34–35 | ||||||||||||
3rd part: 37–40 | ||||||||||||
Melbourne et al. (2016) [30] | London, United Kingdom | Not stated | Prospective longitudinal study | 37 | 10:27 (preterm neonates) | 26.27 | 27–58 | Relaxometry | MWF | Not mentioned | In the WM PLIC and ALIC, axonal and myelin density varies, with large myelin volume in the posterior limb and substantially lower values in the anterior limb, despite relatively similar intra-axonal volume values | |
Ning et al. (2014) [22] | Xi’an, China | Not stated | Prospective cross-sectional study | 56 | 36:20 (term neonates) | 54.0 | Not mentioned | Relaxometry | R2* | √ | The R2* value of the internal capsule increased with post-menstrual age, indicating rapid maturation in the first year of life | |
Nossin-Manor et al. (2013) [25] | Canada, North America | 2008–2010 | Prospective cross-sectional study | 54 | 25:29 (preterm neonates) | 29.0 | 26–34 | MTI, Relaxometry | MTR, T1 | √ | At approximately 36 weeks gestational age, myelin begins to coat the axons in the PLIC, results in a surge in markers related to macromolecules related with myelination (highest MTR values) as well as signals of significant tissue limitation | |
Deoni et al. (2012) [23] | Rhode Island, United States | Not stated | Prospective cross-sectional study | 13 | 6:7 (term neonates) | 37.0 | Not mentioned | Relaxometry | T1,T2, MWF | √ | When T1, T2, and MWF measures are compared, they show different sensitivity to tissue changes linked with neurodevelopment, with each delivering distinct butcomplementing insights |
MRI, magnetic resonance imaging; NE, neonatal encephalopathy; MLS, myelin-like signal; SyMRI, synthetic magnetic resonance imaging; WM, white matter; PLIC, posterior limb of the internal capsule; MWF, Myelin-water fraction; ALIC, anterior limb of the internal capsule; MTI, magnetization transfer imaging; MTR, magnetization transfer ratio.
Study | Quantitative MRI technique/sequence | Software/postprocessing | Advantage | Limitation |
---|---|---|---|---|
Olivieri et al. (2021) [5] | 3D multiecho gradient-echo sequence | MRI console application software, Philips DICOM Viewer software version R3.0 | Good signal-to-noise ratio | Small sample size: unable to do a subanalysis to rule out a potential difference in the myelination of the neonates with NE without injury, compared to the healthy neonates |
Short scanning time <4 min | ||||
Natu et al. (2021) [26] | Spoiled-gradient echo (SPGR) and inversion recovery-echo planar imaging (IR-EPI) | mrQ software | Quantitative measurements of proton relaxation time (T1, which depends on the physiochemical environment of the tissue) from qMRI allow the amount of brain tissue in a voxel (3D pixel in an MRI image that is 1–2 mm on a side) related to the neuropil and myelin to be measured quantitatively and longitudinally, so, these quantitative metrics are a noninvasive way to find out about changes in the microstructure and separate different theories about how development works, since T1 is lower in tissues with a denser microstructure | Unmyelinated pruned neurites may obscure pruning effects on qMRI |
Changes in iron due to pruning-associated phagocytosis may | ||||
Wang et al. (2019) [8] | T2 | Novel automatic segmentation technique of MLS | The spatiotemporal model shows a steady increase in MLS lends to the theory that they are, in fact, gathering on the formation of myelin | Although the segmentation method given provides a quantitative assessment of the myelinated tissue, it is unable to quantify the fraction of myelin within each voxel |
T2 remains the most routinely performed MRI image for the neonatal brain | ||||
Schmidbauer et al. (2019) [27] | Multidynamic multi-echo (MDME) | SyMRI | SyMRI image data are equivalent to T1 and T2 images | Resolution and slice thickness varies between SyMRI maps and conventional MRI, limiting direct comparison |
SyMRI generates quantitative MR maps in seconds | ||||
SyMRI maps were apparent while measuring myelination of brain stem structures, such as the superior and inferior cerebellar peduncles and the medial lemniscus, which are already myelinated at the usual expected due date | Small sample size | |||
Knight et al. (2018) [28] | T2 | Not mentioned | T2 mapping is one of the most potent techniques for studying the developing brain, including myelogenesis | T2 measurements are based on a basic mono-exponential assumptiontoa 3-echoturbo-spinecho: lengthy T2 mapping sequence may be required to sample early and late decoherence adequately for high-quality non-exponentialormulti-exponential T2 maps |
Lee et al. (2018) [24] | Multidynamic multi-echo (MDME) | SyMRI | Allows simultaneous quantification of relaxation times, relaxation rate, and PD in 5 to 6 minutes for full head coverage at high resolution | Small sample size: the clinical utility of synthetic sequence quantitative imaging needs a larger research |
Synthetic sequence correctness and reproducibility are proven at 1.5T but not yet at 3T | ||||
Only 3T age-related tissue alterations were investigated | ||||
Soun et al. (2017) [14] | T1, T2 | FSL | T1/T2 ratio increases contrast-to-noise without increasing scan duration | Possible HII in some subject: studies suggest that severe HII can cause hyperintense T1 signal in the PLIC, while no patient in the cohort had HII, undiscovered subthreshold hypoxia could raise T1 signal intensity in the PLIC and be mistaken as myelin |
T1/T2 ratio can distinguish between highly and lightly myelinated cortical areas, suggesting it could be used to study myelin development in the neonatal brain | ||||
Can be used in neonates to identify HII and myelination by comparing T1 signal intensities of distinct brain areas | Comparing sequences needed coregistration: T1 and T2 images had modest misregistration abnormalities at cerebrospinal-gray matter interfaces, incorrect contrast increases could be perceived as myelin disease | |||
Employs commonly acquired clinical sequences, so it doesn't add scan time | ||||
Schneider et al. (2016) [29] | 3D magnetization prepared dual rapid acquisition of gradientecho (MP2RAGE) | Not mentioned | By creating a purely T1-weighted picture, MP2RAGE may generate whole-brain T1 tissue relaxation time maps for quantitative tissue characterization | Values from moderate or severe brain lesions cannot be compared to those from low-risk patients since they were very few |
T1 relaxometry's descriptive features are of special relevance in the preterm population because they convey structural information about tissue, such as water content and lipid and macromolecule compositions, and depict myelin's chronologic maturation | No healthy control fetuses or term neonates were available for comparison | |||
T1 relaxation time gives information regarding myelin synthesis, cholesterol, and macromolecules (galactocerebrosides), making it an ideal marker of brain maturity | ||||
Melbourne et al. (2016) [30] | 2D Gradient and Spin Echo (GraSE) | Not mentioned | Single component relaxometry is a non-specific predictor of myelin and myelination but a MWF derived from multicomponent T2 relaxometry correlates with histological staining | Small sample size for longitudinal data |
With 2 longitudinal imaging time points, it's difficult to support an alternative model, and it's unclear how cross-sectional models should be used longitudinally | ||||
Soun et al. (2017) [14] | T1, T2 | FSL | T1/T2 ratio increases contrast-to-noise without increasing scan duration | Possible HII in some subject: studies suggest that severe HII can cause hyperintense T1 signal in the PLIC, while no patient in the cohort had HII, undiscovered subthreshold hypoxia could raise T1 signal intensity in the PLIC and be mistaken as myelin |
T1/T2 ratio can distinguish between highly and lightly myelinated cortical areas, suggesting it could be used to study myelin development in the neonatal brain | ||||
Can be used in neonates to identify HII and myelination by comparing T1 signal intensities of distinct brain areas | Comparing sequences needed coregistration: T1 and T2 images had modest misregistration abnormalities at cerebrospinal-gray matter interfaces, incorrect contrast increases could be perceived as myelin disease | |||
Employs commonly acquired clinical sequences, so it doesn't add scan time | ||||
Schneider et al. (2016) [29] | 3D magnetization prepared dual rapid acquisition of gradientecho (MP2RAGE) | Not mentioned | By creating a purely T1-weighted picture, MP2RAGE may generate whole-brain T1 tissue relaxation time maps for quantitative tissue characterization | Values from moderate or severe brain lesions cannot be compared to those from low-risk patients since they were very few |
T1 relaxometry's descriptive features are of special relevance in the preterm population because they convey structural information about tissue, such as water content and lipid and macromolecule compositions, and depict myelin's chronologic maturation | No healthy control fetuses or term neonates were available for comparison | |||
T1 relaxation time gives information regarding myelin synthesis, cholesterol, and macromolecules (galactocerebrosides), making it an ideal marker of brain maturity | ||||
Melbourne et al. (2016) [30] | 2D Gradient and Spin Echo (GraSE) | Not mentioned | Single component relaxometry is a non-specific predictor of myelin and myelination but a MWF derived from multicomponent T2 relaxometry correlates with histological staining | Small sample size for longitudinal data |
With 2 longitudinal imaging time points, it's difficult to support an alternative model, and it's unclear how cross-sectional models should be used longitudinally | ||||
Ning et al. (2014) [22] | 3Denhanced T2 starweighted angiography (ESWAN) | ADW4.3 workstation | R2* is more sensitive than R2 for iron deposition and white matter maturation in the brain | No phase and R2* templates: neonates’ increased brain water content and lower iron concentration make it difficult to automatically separate and register many brain areas, they have more brain water than adults and it decreases with age |
Reduced water fractions may have affected the R2* value by age | ||||
Considering the potential influence of sedation on R2* and phase values, some correction should be made using systemic oxygenation parameters such as oxygen or carbon dioxide pressure and oxygen saturation | ||||
Nossin-Manor et al. (2013) [25] | PDW 3D spoiled gradient recalled (SPGR) and T1 3D spoiled gradient recalled (SPGR) | Not mentioned | MTR and T1 values are sensitive (but not specific) to water content in tissue, the development of tissue organization, and early myelination events in the developing brain | MTR could be more sensitive to inflammatory diseases than myelination and demyelination |
Deoni et al. (2012) [23] | Spoiled gradient echo (SPGR, spoiled FL ASH), fully-balanced steady-state free precession (bSSFP) and inversion-prepared (IR)-SPGR | Not mentioned | Excellent resolution compared to other quantitative approaches | Long scanning time: difficult to add to the baseline MRI protocol in a population of critically ill neonates |
Not widely used to study neonatal brains under 3 months of age or the brains of critically ill neonates | ||||
Concerns regarding the accuracy of the technique |
MRI, magnetic resonance imaging; 3D, 3-dimensional; 2D, 2-dimensional; MLS, myelin-like signal; SyMRI, synthetic magnetic resonance imaging; qMRI, quantitative MRI; PD, Proton density; HII, hypoxic-ischemic injury; MWF, Myelin-water fraction; MTR, magnetization transfer ratio; PLIC, posterior limb of the internal capsule.
ROI(s) | Mentioned in study | No. of studies |
---|---|---|
Posterior limb of the internal capsule (PLIC) | Olivieri et al. (2021) [5], Wang et al. (2019) [8], Schmidbauer et al. (2019) [27], Knight et al. (2018) [28], Soun et al. (2017) [14], Schneider et al. (2016) [29], Melbourne et al. (2016) [30], Ning et al. (2014) [22], Nossin-Manor et al. (2013) [25], Deoni et al. (2012) [23] | 10 |
Corpus callosum (genu) | Olivieri et al. (2021) [5], Knight et al. (2018) [28], Lee et al. (2018) [24], Schneider et al. (2016) [29], Melbourne et al. (2016) [30], Ning et al. (2014) [22], Nossin-Manor et al. (2013) [25], Deoni et al. (2012) [23] | 8 |
Corpus callosum (splenium) | Olivieri et al. (2021) [5], Knight et al. (2018) [28], Lee et al. (2018) [24], Schneider et al. (2016) [29], Melbourne et al. (2016) [30], Ning et al. (2014) [22], Nossin-Manor et al. (2013) [25], Deoni et al. (2012) [23] | 8 |
Optic radiations | Olivieri et al. (2021) [5], Schmidbauer et al. (2019) [27], Knight et al. (2018) [28], Lee et al. (2018) [24], Soun et al. (2017) [14], Schneider et al. (2016) [29], Deoni et al. (2012) [23] | 7 |
Thalamus | Olivieri et al. (2021) [5], Schmidbauer et al. (2019) [27], Lee et al. (2018) [24], Schneider et al. (2016) [29], Ning et al. (2014) [22], Nossin-Manor et al. (2013) [25] | 6 |
Frontal region (white matter) | Olivieri et al. (2021) [5], Schmidbauer et al. (2019) [27], Lee et al. (2018) [24], Schneider et al. (2016) [29], Nossin-Manor et al. (2013) [25], Deoni et al. (2012) [23] | 6 |
Parietal region (white matter) | Lee et al. (2018) [24], Schneider et al. (2016) [29], Nossin-Manor et al. (2013) [25], Deoni et al. (2012) [23] | 4 |
Anterior limb of the internal capsule (ALIC) | Melbourne et al. (2016) [30], Ning et al. (2014) [22], Deoni et al. (2012) [23] | 3 |
Lentiform nucleus | Olivieri et al. (2021) [5], Schneider et al. (2016) [29] | 2 |
Corpus callosum (body) | Knight et al. (2018) [28], Deoni et al. (2012) [23] | 2 |
Ventrolateral nucleus | Wang et al. (2019) [8], Nossin-Manor et al. (2013) [25] | 2 |
Cingulum | Knight et al. (2018) [28], Deoni et al. (2012) [23] | 2 |
Central region (white matter) | Schmidbauer et al. (2019) [27], Schneider et al. (2016) [29] | 2 |
Frontal region (gray matter) | Lee et al. (2018) [24], Schneider et al. (2016) [29] | 2 |
Perirolandic region (gray matter) | Lee et al. (2018) [24], Schneider et al. (2016) [29] | 2 |
Parietal region (gray matter) | Lee et al. (2018) [24], Schneider et al. (2016) [29] | 2 |
Caudate nucleus | Lee et al. (2018) [24], Ning et al. (2014) [22] | 2 |
Putamen | Ning et al. (2014) [22], Nossin-Manor et al. (2013) [25] | 2 |
Globus pallidus | Ning et al. (2014) [22], Nossin-Manor et al. (2013) [25] | 2 |
Primary sensory-motor cortices: | ||
Visual (V1) | Natu et al. (2021) [26], Knight et al. (2018) [28] | 2 |
Somatosensory (S1) | Natu et al. (2021) [26], Knight et al. (2018) [28] | 2 |
Motor (M1) | Natu et al. (2021) [26], Knight et al. (2018) [28] | 2 |
Auditory (A1) | Natu et al. (2021) [26] | 1 |
Acoustic radiation | Knight et al. (2018) [28] | 1 |
Subthalamic nucleus | Wang et al. (2019) [8] | 1 |
Superior cerebellar peduncle | Wang et al. (2019) [8] | 1 |
middle cerebral peduncle | Knight et al. (2018) [28] | 1 |
Decussation of the superior cerebellar peduncle | Knight et al. (2018) [28] | 1 |
Inferior colliculus | Wang et al. (2019) [8] | 1 |
Lateral lemniscus | Wang et al. (2019) [8] | 1 |
Medial lemniscus | Wang et al. (2019) [8] | 1 |
Medial longitudinal fasciculus | Wang et al. (2019) [8] | 1 |
Inferior fronto-occipital fasciculus | Knight et al. (2018) [28] | 1 |
Inferior longitudinal fasciculus | Knight et al. (2018) [28] | 1 |
Vestibular nucleus | Wang et al. (2019) [8] | 1 |
Medulla oblongata | Schmidbauer et al. (2019) [27] | 1 |
Mesencephalon | Schmidbauer et al. (2019) [27] | 1 |
Red nucleus | Ning et al. (2014) [22] | 1 |
Substantia nigra | Ning et al. (2014) [22] | 1 |
Pons | Nossin-Manor et al. (2013) [25] | 1 |
Corona radiata | Deoni et al. (2012) [23] | 1 |
Temporal region (white matter) | Deoni et al. (2012) [23] | 1 |
Occipital region (white matter) | Deoni et al. (2012) [23] | 1 |
Cerebellar region (white matter) | Deoni et al. (2012) [23] | 1 |
Corticospinal tract | Knight et al. (2018) [28] | 1 |
Uncus | Knight et al. (2018) [28] | 1 |