Texture analysis of periventricular echogenicity on neonatal cranial ultrasound predicts periventricular leukomalacia

Autor: Doaa Mahmoud-Ghoneim, Hassib Narchi, A. Skinner, P. Cogings
Rok vydání: 2013
Předmět:
Zdroj: Journal of Neonatal-Perinatal Medicine. 6:117-124
ISSN: 1934-5798
Popis: BACKGROUND:Whitematterperiventricularechogenicitydetectedinneonatalcranialultrasound(US)scansmaybefollowed by cystic periventricular leukomalacia (PVL) or might resolve. Serial US are therefore needed to clarify the outcome. Texture analysis is a computerized method to analyze images and distinguish findings that are undetectable by the human eye. OBJECTIVE: To test whether texture analysis can differentiate echogenicities that resolve from those that develop cystic PVL. MATERIAL AND METHODS: Neonates with echogenicities on their initial US scan were studied; texture analysis was performed on the coronal and sagittal sections. Texture parameters were entered into a linear discriminant analysis (LDA) to classify the scans along two axes called most discriminant features (MDF) 1 and 2. RESULTS: We studied twenty infants with periventricular echogenicities on initial scans; ten of them later resolved (group A), while the other ten infants developed cystic PVL (group B). The classification accuracy was 66% and 82% for group A and B on sagittal sections, and 75%, and 80% on coronal. In the coronal and sagittal plane respectively, a MDF1 value of 0.98 and 0.24 and an MDF2 value of 0.86 and 0.001 provided the best sensitivity, specificity, positive and negative likelihood ratio. CONCLUSION: Texture analysis is a promising objective tool to early identify which cranial echogenicity that will develop into cystic PVL.
Databáze: OpenAIRE