Literature DB >> 27622417

Neonatal head ultrasound: systematic approach to congenital Central Nervous System anomalies. A pictorial essay.

Hye-Kyung Yoon1, Seong Whi Cho2.   

Abstract

Brain ultrasound is widely used for the screening of prematurely born babies. Although the best imaging modality for the central nervous system anomaly is brain MRI, the first imaging study in the post-natal period is brain ultrasonography in most cases. Anomalies could be found incidentally on screening ultrasound, or in those cases already suspected on prenatal ultrasound. In order not to miss congenital structural abnormalities of the brain on screening ultrasound, systematic approaches would be very helpful. The ventricles and sylvian fissures are very important structures to suspect central nervous system anomalies: they are symmetric structures so we should look for any asymmetry or maldevelopment. And then, on sagittal images, the midline structures including the corpus callosum and cerebellar vermis should be observed carefully. Finally, we should look for any abnormality in gyration or cortical development. Skull defect with herniation of intracranial contents, a spectrum of encephalo-meningocele, could be also identified on ultrasound. Congenital infections such as cytomegalovirus infection may show ventriculomegaly and malformation of the cortical development on imaging studies.

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Year:  2016        PMID: 27622417     DOI: 10.11152/mu.2013.2066.183.hye

Source DB:  PubMed          Journal:  Med Ultrason        ISSN: 1844-4172            Impact factor:   1.611


  2 in total

Review 1.  Pediatric encephalic ultrasonography: the essentials.

Authors:  Valerio Vitale; Eugenio Rossi; Marco Di Serafino; Rocco Minelli; Ciro Acampora; Francesca Iacobellis; Chiara D'Errico; Aniello Esposito; Francesco Esposito; Gianfranco Vallone; Massimo Zeccolini
Journal:  J Ultrasound       Date:  2018-12-14

2.  Predicting the developmental outcomes of very premature infants via ultrasound classification: A CONSORT - clinical study.

Authors:  Xue-Hua Zhang; Wen-Juan Chen; Xi-Rong Gao; Ya Li; Jing Cao; Shi-Jun Qiu
Journal:  Medicine (Baltimore)       Date:  2021-04-16       Impact factor: 1.889

  2 in total

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