ArticleEuropean radiology2020
Texture analysis of deep medullary veins on susceptibility-weighted imaging in infants: evaluating developmental and ischemic changes.
Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 28 citations in OpenAlex.
- Evaluation of Neonatal Cerebral Circulation Under Hypoxic Ischemic Risk Factors Based on Quantitative Analysis of Cerebral Veins with Magnetic Resonance Susceptibility Weighted Imaging.Clinical neuroradiology · 2024Article
- Prediction of feeding difficulties in neonates with hypoxic-ischemic encephalopathy using magnetic resonance imaging-derived radiomics features.Pediatric radiology · 2024Article
- Advancements in investigating the role of cerebral small vein loss in Alzheimer's disease-related pathological changes.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Review
- Deep Medullary Vein and MRI Markers Were Related to Cerebral Hemorrhage Subtypes.Brain sciences · 2023Article
- Can radiomics be used to detect hypoxic-ischemic encephalopathy in neonates without magnetic resonance imaging abnormalities?Pediatric radiology · 2023Article
- Radiomics based of deep medullary veins on susceptibility-weighted imaging in infants: predicting the severity of brain injury of neonates with perinatal asphyxia.European journal of medical research · 2023Article
- Highly accelerated 3D MPRAGE using deep neural network-based reconstruction for brain imaging in children and young adults.European radiology · 2022Article
- The role of MRI-based texture analysis to predict the severity of brain injury in neonates with perinatal asphyxia.The British journal of radiology · 2022Article
- A radiomics-based study of deep medullary veins in infants: Evaluation of neonatal brain injury with hypoxic-ischemic encephalopathyFrontiers in neuroscience · 2022Article
- Radiomics Analysis of Susceptibility Weighted Imaging for Hepatocellular Carcinoma: Exploring the Correlation between Histopathology and Radiomics Features.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021Article
- Brain MRI radiomics analysis may predict poor psychomotor outcome in preterm neonates.European radiology · 2021Article
- Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot.Computational and mathematical methods in medicine · 2021Article
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveSusceptibility-weighted imaging (SWI) can be used to evaluate deep medullary veins (DMVs). This study aimed to apply texture analysis on SWI to evaluate developmental and ischemic changes of DMV in infants.
methodsA total of 38 infants with normal brain MRI (preterm [n = 12], term-equivalent age [TEA] [n = 18], and term [n = 8]) and seven infants with ischemic injury (preterm [n = 2], TEA [n = 1], and term [n = 4]) were included. Regions of interests were manually drawn to include DMVs. First-order texture parameters including entropy, skewness, and kurtosis were derived from SWI. The parameters were compared between groups according to age and presence of ischemic injury. A regression analysis was performed to correlate postmenstrual age (PMA) and parameters. A ROC analysis was performed to differentiate ischemic infants from normal infants.
resultsAmong parameters, entropy showed a significant difference between the age groups (preterm vs. TEA vs. term; 5.395 vs. 4.885 vs. 4.883, p = 0.001). There was a significant positive relationship between PMA and entropy (R square = 0.402, p < 0.001). Skewness was significantly higher in the ischemic group compared with that in the normal group (1.37 vs. 0.70, p = 0.001). The ROC on skewness resulted in an AUC of 0.87 (accuracy, 83.2%) for differentiating infants with ischemic injury.
conclusionA texture analysis of DMVs on SWI showed differences according to age and presence of ischemic injury. The texture parameters can potentially be used as quantitative markers for differentiating infants with ischemic injury through DMV changes. KEY POINTS: • The DMV structure of the infant brain could be quantified on SWI with texture analysis. • Entropy from texture analysis on SWI increased as infants got older. • Normal and ischemic injured infants could be differentiated with a cutoff value of 1.025 for skewness.
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