Re-evaluating the timing of sequential cranial ultrasound screening in very preterm infants for predicting neurodevelopmental outcomes

Medina-Alva P, Duque KR, Zea-Vera A et al (2019) Combined predictors of neurodevelopment in very low birth weight preterm infants. Early Hum Dev 130:109–115

Article  PubMed  PubMed Central  Google Scholar 

Chung EH, Chou J, Brown KA (2019) Neurodevelopmental outcomes of preterm infants: a recent literature review. Transl Pediatr 9:S3–S8

Article  Google Scholar 

Hand IL, Shellhaas RA, Milla SS et al (2020) Routine neuroimaging of the preterm brain. Pediatrics 146:e2020029082

Article  PubMed  Google Scholar 

Mirmiran M, Barnes PD, Keller K et al (2004) Neonatal brain magnetic resonance imaging before discharge is better than serial cranial ultrasound in predicting cerebral palsy in very low birth weight preterm infants. Pediatrics 114:992–998

Article  PubMed  Google Scholar 

Zhang XH, Chen WJ, Gao XR et al (2021) Predicting the developmental outcomes of very premature infants via ultrasound classification: a CONSORT - clinical study. Medicine (Baltimore) 100:e25421

Article  CAS  PubMed  Google Scholar 

McLean G, Ditchfield M, Paul E et al (2023) Evaluation of a cranial ultrasound screening protocol for very preterm infants. J Ultrasound Med 42:1081–1091

Article  PubMed  Google Scholar 

Beunders VAA, Roelants JA, Suurland J et al (2022) Early ultrasonic monitoring of brain growth and later neurodevelopmental outcome in very preterm infants. AJNR Am J Neuroradiol 43:639–644

Article  CAS  PubMed  PubMed Central  Google Scholar 

Garg S, Lal N, Lal M (2021) A standardized approach to routine cranial ultrasonography in preterm infants: improved neuromotor outcome predictability at 2 years and communication with parents. J Clin Neonatol 10:182–186

Article  Google Scholar 

Mohammad K, Scott JN, Leijser LM et al (2021) Consensus approach for standardizing the screening and classification of preterm brain injury diagnosed with cranial ultrasound: a Canadian perspective. Front Pediatr 9:618236

Article  PubMed  PubMed Central  Google Scholar 

Leijser LM, Liauw L, Veen S et al (2008) Comparing brain white matter on sequential cranial ultrasound and MRI in very preterm infants. Neuroradiology 50:799–811

Article  PubMed  Google Scholar 

Hintz SR, Barnes PD, Bulas D et al (2015) Neuroimaging and neurodevelopmental outcome in extremely preterm infants. Pediatrics 135:e32–e42

Article  PubMed  PubMed Central  Google Scholar 

Skiold B, Hallberg B, Vollmer B et al (2019) A novel scoring system for term-equivalent-age cranial ultrasound in extremely preterm infants. Ultrasound Med Biol 45:786–794

Article  PubMed  Google Scholar 

Law JB, Wood TR, Gogcu S et al (2021) Intracranial hemorrhage and 2-year neurodevelopmental outcomes in infants born extremely preterm. J Pediatr 238(124–34):e10

Google Scholar 

Dudink J, Steggerda S, Horsch S et al (2020) State of the art neonatal cerebral ultrasound: technique and reporting. Pediatr Res 87:3–12

Article  PubMed  PubMed Central  Google Scholar 

van Wezel-Meijler G, De Bruine FT, Steggerda SJ et al (2011) Ultrasound detection of white matter injury in very preterm neonates: practical implications. Dev Med Child Neurol 53:29–34

Article  PubMed  Google Scholar 

Guillot M, Chau V, Lemyre B (2020) Routine imaging of the preterm neonatal brain. Paediatr Child Health 25:249–262

Article  PubMed  PubMed Central  Google Scholar 

Canadian Pediatric Society (2001) Routine screening cranial ultrasound examinations for the prediction of long term neurodevelopmental outcomes in preterm infants. Paediatr Child Health 6(1):39–43. https://doi.org/10.1093/pch/6.1.39

Albers CA, Grieve AJ (2007) Test Review: Bayley, N. (2006). Bayley Scales of Infant and Toddler Development– third edition. San Antonio, TX: Harcourt Assessment. J Psychoeduc Assess 25:180–90

Article  Google Scholar 

van Buuren S, Groothuis-Oudshoorn K (2011) mice: multivariate imputation by chained equations in R. J Stat Softw 45(3):1–67

Article  Google Scholar 

Piironen J, Vehtari A (2017) Comparison of Bayesian predictive methods for model selection. Stat Comput 27:711–735

Article  Google Scholar 

Vehtari A, Ojanen J (2014) Errata: a survey of Bayesian predictive methods for model assessment, selection and comparison. Statist Surv. 6. https://doi.org/10.1214/14-SS105

Vehtari A, Gelman A, Gabry J (2017) Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Stat Comput. 27:1413–1432

Article  Google Scholar 

Fawcett T (2006) Introduction to ROC analysis. Pattern Recogn Lett 27:861–874

Article  Google Scholar 

K S. Visualizing prediction model performance. version 0.1.0 ed2024. p. R package

Broitman E, Ambalavanan N, Higgins RD et al (2007) Clinical data predict neurodevelopmental outcome better than head ultrasound in extremely low birth weight infants. J Pediatr 151:500–5, 5 e1-2

Article  PubMed  PubMed Central  Google Scholar 

Kuban KC, Allred EN, O’Shea TM et al (2009) Cranial ultrasound lesions in the NICU predict cerebral palsy at age 2 years in children born at extremely low gestational age. J Child Neurol 24:63–72

Article  PubMed  PubMed Central  Google Scholar 

Himpens E, Oostra A, Franki I et al (2010) Predictability of cerebral palsy in a high-risk NICU population. Early Hum Dev 86:413–417

Article  CAS  PubMed  Google Scholar 

Maas YG, Mirmiran M, Hart AA et al (2000) Predictive value of neonatal neurological tests for developmental outcome of preterm infants. J Pediatr 137:100–106

Article  CAS  PubMed  Google Scholar 

Seme-Ciglenecki P (2007) Predictive values of cranial ultrasound and assessment of general movements for neurological development of preterm infants in the Maribor region of Slovenia. Wien Klin Wochenschr 119:490–496

Article  PubMed  Google Scholar 

Riley RD, Snell KIE, Ensor J et al (2019) Minimum sample size for developing a multivariable prediction model: part I - continuous outcomes. Stat Med 38:1262–1275

Article  PubMed  Google Scholar 

留言 (0)

沒有登入
gif