Predicting Preterm Infants' Cognitive and Language Outcomes
Quantitatively identifying diffuse white matter anomalies using MRI as a systematic approach provides early identification of the need for developmental deficit interventions in preterm infants.
Technology Overview
Premature birth is often associated with developmental deficits. Neonatal imaging is a common diagnostic tool used to assess neurologic abnormality and to determine the need for early intervention. Objectively analyzing medical image data for the presence of diffuse white matter abnormalities (DWMA) reproducibly identifies characteristics that are not readily apparent. The system of establishing a quantitative diagnostic score adds objectivity to determining DWMA characteristics that will impact one or more developmental scales, such as a time deficit, score deficit, or other value indicative of development deficits. Compared to subjective visual diagnosis of the image, that is typically used, objectively determined DWMA characteristics may be automatically compared at different times and associated with other assessment criteria used to measure infant development.
Applications
This approach can provide accurate, point of care identification of the need for early interventions in very preterm infants.
Advantages
The approach removes the qualitative scoring of the image and provides a more accurate diagnostic predicter. Earlier intervention points to better outcomes on patient developmental scores.
Market Overview
Premature birth is often associated with developmental deficits. Neonatal imaging is a common diagnostic tool used to assess neurologic abnormality and to determine the need for early intervention. Objectively analyzing medical image data for the presence of diffuse white matter abnormalities (DWMA) reproducibly identifies characteristics that are not readily apparent. The system of establishing a quantitative diagnostic score adds objectivity to determining DWMA characteristics that will impact one or more developmental scales, such as a time deficit, score deficit, or other value indicative of development deficits. Compared to subjective visual diagnosis of the image, that is typically used, objectively determined DWMA characteristics may be automatically compared at different times and associated with other assessment criteria used to measure infant development.
Investigator Overview
Dr. Nehal Parikh Dr. Lili He
Technology ID
2019-0307
Business Opportunity
Exclusive License
Technology Type
Diagnostic
Stage of Development
Clinical - Phase I
Patent Information
US Non-Provisional Filing