ArticleClinical neuroradiology2021
Validity of SyMRI for Assessment of the Neonatal Brain.
Article in Clinical neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Artificial intelligence for pediatric neuroimaging.Pediatric radiology · 2026Review
- Assessing grey matter structural alterations in systemic lupus erythematosus using synthetic MRI.Lupus science & medicine · 2025Article
- The Role of Synthetic MRI and Radiomics in Breast Cancer: A Review.Advanced biomedical research · 2025Review
- Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Article
- Synthetic magnetic resonance-based relaxometry and brain volume: cutoff values for predicting neurocognitive outcomes in very preterm infants.Pediatric radiology · 2024Article
- Quantitative assessment of preoperative brain development in pediatric congenital heart disease patients by synthetic MRI.Insights into imaging · 2024Article
- Neurodevelopmental outcome in preterm infants with intraventricular hemorrhages: the potential of quantitative brainstem MRI.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Predicting neurodevelopmental outcomes in extremely preterm neonates with low-grade germinal matrix-intraventricular hemorrhage using synthetic MRI.Frontiers in neuroscience · 2024Article
- Different from the Beginning: WM Maturity of Female and Male Extremely Preterm Neonates-A Quantitative MRI Study.AJNR. American journal of neuroradiology · 2022Article
- Mapping Human Fetal Brain Maturation In Vivo Using Quantitative MRI.AJNR. American journal of neuroradiology · 2021Article
- Impact of Prematurity on the Tissue Properties of the Neonatal Brain Stem: A Quantitative MR Approach.AJNR. American journal of neuroradiology · 2021Article
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of this study was to assess the diagnostic accuracy of T1-weighted and T2-weighted contrasts generated by the MR data postprocessing software SyMRI (Synthetic MR AB, Linköping, Sweden) for neonatal brain imaging.
methodsIn this study 36 cases of neonatal MRI were retrospectively collected, which included T1-weighted and T2-weighted sequences as well as multi-dynamic multi-echo (MDME) sequences. Of the 36 neonates 32 were included in this study and 4 neuroradiologists independently assessed neonatal brain examinations on the basis of conventional and SyMRI-generated T1-weighted and T2-weighted contrasts, in order to determine the presence or absence of lesions. The sensitivity and specificity of both methods were calculated and compared.
resultsCompared to conventionally acquired T1 and T2-weighted images, SyMRI-generated contrasts showed a lower sensitivity but a higher specificity (SyMRI sensitivity 0.88, confidence interval (CI): 0.72-0.95; specificity 1, CI: 0.89-1/conventional MRI: sensitivity: 0.94, CI: 0.80-0.98; specificity: 0.94, CI: 0.80-0.98).
conclusionThe T1-weighted and T2-weighted images generated by SyMRI showed a diagnostic accuracy comparable to that of conventionally acquired contrasts. In addition to semiquantitative imaging data, SyMRI provides diagnostic images and leads to a more efficient use of available imaging time in neonatal brain MRI.
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