Add to ORKGThis study investigates the predictive ability of automatic quantitative brain MRI descriptors for the identification of infants with low cognitive and/or motor outcome at 2-3 years chronological age. MR brain images of 173 patients were acquired at 30 weeks postmenstrual age (PMA) (n = 86) and 40 weeks PMA (n = 153) between 2008 and 2013. Eight tissue volumes and measures of cortical morphology were automatically computed. A support vector machine classifier was employed to identify infants who exhibit low cognitive and/or motor outcome (<85) at 2-3 years chronological age as assessed by the Bayley scales. Based on the images acquired at 30 weeks PMA, the automatic identification resulted in an area under the receiver operation characteris...
Background: Advanced neuroimaging and computational methods offer opportunities for more accurate pr...
INTRODUCTION: The cerebral cortex develops rapidly in the last trimester of pregnancy. In preterm in...
Abstract. We propose a method to identify preterm infants at highest risk of adverse motor function ...
This study investigates the predictive ability of automatic quantitative brain MRI descriptors for t...
Even though survival of preterm infants has improved in recent years, preterm birth is still associa...
With the increasing numbers of preterm infants who survive, it is of great benefit to be able to pre...
BACKGROUND AND PURPOSE: Conventional MR imaging scoring is a valuable tool for risk stratification a...
Background and aims: Preterm birth imposes a high risk for developing neuromotor delay. Earlier pred...
Background and Purpose: Conventional MRI scoring is a valuable tool for risk stratification and prog...
The prevalence of disabled survivors of prematurity has increased dramatically in the past 3 decades...
Background and Purpose: The diagnostic and prognostic potential of brain MR imaging before term-equi...
Background: This study aimed to identify which MRI and clinical assessments, alone or in combination...
Although the most common forms of brain injury in preterm infants have been associated with adverse ...
Background: More than 50 percent of all infants born very preterm will experience significant motor ...
Infants born very preterm face a range of neurodevelopmental challenges in cognitive, language, beha...
Background: Advanced neuroimaging and computational methods offer opportunities for more accurate pr...
INTRODUCTION: The cerebral cortex develops rapidly in the last trimester of pregnancy. In preterm in...
Abstract. We propose a method to identify preterm infants at highest risk of adverse motor function ...
This study investigates the predictive ability of automatic quantitative brain MRI descriptors for t...
Even though survival of preterm infants has improved in recent years, preterm birth is still associa...
With the increasing numbers of preterm infants who survive, it is of great benefit to be able to pre...
BACKGROUND AND PURPOSE: Conventional MR imaging scoring is a valuable tool for risk stratification a...
Background and aims: Preterm birth imposes a high risk for developing neuromotor delay. Earlier pred...
Background and Purpose: Conventional MRI scoring is a valuable tool for risk stratification and prog...
The prevalence of disabled survivors of prematurity has increased dramatically in the past 3 decades...
Background and Purpose: The diagnostic and prognostic potential of brain MR imaging before term-equi...
Background: This study aimed to identify which MRI and clinical assessments, alone or in combination...
Although the most common forms of brain injury in preterm infants have been associated with adverse ...
Background: More than 50 percent of all infants born very preterm will experience significant motor ...
Infants born very preterm face a range of neurodevelopmental challenges in cognitive, language, beha...
Background: Advanced neuroimaging and computational methods offer opportunities for more accurate pr...
INTRODUCTION: The cerebral cortex develops rapidly in the last trimester of pregnancy. In preterm in...
Abstract. We propose a method to identify preterm infants at highest risk of adverse motor function ...