Premature infants are high-risk groups for neurological development disorders, and brain injury in premature infants is often not apparent in the neonatal period. It is easy to ignore because of its clinical symptoms. Currently, there is no specific treatment for brain injury in premature infants. Only early diagnosis and intervention can reduce disability, promote the intellectual development of premature infants with brain injury and improve the prognosis. Brain injury in preterm infants is a significant complication that threatens the quality of life of preterm infants. Cranial ultrasound is the preferred screening method for brain injury in preterm infants. However, cranial ultrasound requires the examiner to subjectively evaluate the echo enhancement and echo homogeneity of white matter around the ventricle. It is difficult to accurately identify the slight white matter injury found in cranial Magnetic Resonance Imaging (MRI) via cranial ultrasound. A series of cranial ultrasound examinations of premature infants and quantitative determination of echo intensity and texture of vulnerable areas of white matter can more accurately judge the degree of white matter damage.
This Research Topic aims to evaluate the degree of brain injury in premature infants more comprehensively and accurately and use ultrasound scores to predict the neurodevelopmental outcome of premature infants early to advance the intervention and treatment time of brain injury in premature infants and improve the quality of life of premature infants. This Research Topic invites original scientific and research articles on advanced analysis techniques for newborn neurodevelopment. Its concept provides opportunities for academics and researchers to demonstrate their current developments.
Topics of interest include but are not limited to:
- Quantitative analysis of grayscale and texture of periventricular white matter
- Image data analysis techniques for newborn neurological diseases
- Prediction of neural development of premature infants by Ultrasonic evaluation and analysis
- The combination of cranial ultrasound score with GMs assessment
- Ultra-early prediction of neurodevelopmental outcome in preterm infants
- Other advanced techniques for early prediction of neurodevelopmental outcomes in preterm infants
Premature infants are high-risk groups for neurological development disorders, and brain injury in premature infants is often not apparent in the neonatal period. It is easy to ignore because of its clinical symptoms. Currently, there is no specific treatment for brain injury in premature infants. Only early diagnosis and intervention can reduce disability, promote the intellectual development of premature infants with brain injury and improve the prognosis. Brain injury in preterm infants is a significant complication that threatens the quality of life of preterm infants. Cranial ultrasound is the preferred screening method for brain injury in preterm infants. However, cranial ultrasound requires the examiner to subjectively evaluate the echo enhancement and echo homogeneity of white matter around the ventricle. It is difficult to accurately identify the slight white matter injury found in cranial Magnetic Resonance Imaging (MRI) via cranial ultrasound. A series of cranial ultrasound examinations of premature infants and quantitative determination of echo intensity and texture of vulnerable areas of white matter can more accurately judge the degree of white matter damage.
This Research Topic aims to evaluate the degree of brain injury in premature infants more comprehensively and accurately and use ultrasound scores to predict the neurodevelopmental outcome of premature infants early to advance the intervention and treatment time of brain injury in premature infants and improve the quality of life of premature infants. This Research Topic invites original scientific and research articles on advanced analysis techniques for newborn neurodevelopment. Its concept provides opportunities for academics and researchers to demonstrate their current developments.
Topics of interest include but are not limited to:
- Quantitative analysis of grayscale and texture of periventricular white matter
- Image data analysis techniques for newborn neurological diseases
- Prediction of neural development of premature infants by Ultrasonic evaluation and analysis
- The combination of cranial ultrasound score with GMs assessment
- Ultra-early prediction of neurodevelopmental outcome in preterm infants
- Other advanced techniques for early prediction of neurodevelopmental outcomes in preterm infants