Early Prediction of Periventricular Leukomalacia Using Quantitative Texture Analysis of Serial Cranial Ultrasound Scans in Very Preterm Infants |
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| Affiliation: | 2. Department of Pediatrics, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea;1. Department of Paediatric Surgery, Women''s and Children''s Hospital, South Australia, Australia;2. Department of Medical Imaging, Women''s and Children''s Hospital, South Australia, Australia;3. Discipline of Paediatrics, University of Adelaide, South Australia, Australia;4. Discipline of Surgery, University of Adelaide, South Australia, Australia;1. Department of Neonatology, Wilhelmina Children''s Hospital and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands;2. INSERM, Cognitive Neuroimaging Unit U992, CEA, Neurospin Center, Saclay, France;3. University Paris Sud, Orsay; University Paris Saclay, Gif-sur-Yvette, France;4. Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands;5. CEA, NeuroSpin Center, UNATI, Saclay, France;6. Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King''s College London, London, United Kingdom |
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| Abstract: | We compared texture parameters of serial cranial ultrasound (cUS) images of periventricular leukomalacia (PVL) and normal periventricular echogenicity (PVE) in very preterm infants and evaluated the early predictive values of texture analysis (TA) for PVL. Ten individuals with PVL and 10 control individuals with PVE assessed with an initial cUS within 1 wk of birth and follow-up cUS at 2–3 and 4–6 wk of life were included. TA was performed on the region of interest of PVE at the parieto-occipital area on serial cUS. Opposite changes in variance were obtained between the first two cUS sessions in both groups (p = 0.017 in PVL and p = 0.005 in PVE). The variance-to-mean ratio (VMR) between the second and first cUS sessions differed (p = 0.016) and reliably stratified the groups (area under the receiver operating characteristic curve: 0.820, 95% confidence interval: 0.587–1.000, sensitivity: 100%, specificity: 60%). TA of serial cUS helps to predict PVL within 3 wk of life. |
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