Literature DB >> 28527815

Neuroimaging and neuropathological characteristics of cerebellar injury in extremely low birth weight infants.

Mayumi Matsufuji1, Nozomi Sano2, Hisashi Tsuru2, Sachio Takashima3.   

Abstract

OBJECTIVE: To determine the morphological characteristics and pathogenic factors of cerebellar injury in extremely low birth weight infants (ELBWI). SUBJECTS AND METHODS: Neuroimaging examination was performed on 17 eligible surviving ELBWI. Their MR images were assessed and classified its pattern of cerebellar injuries. Brain pathology was examined on 15 patients, who isolated this neuroimaging subjects. The trend of brain pathologies was revealed.
RESULTS: Four types of morphological pattern were recognized: (i) the absence of major portions in the cerebellum (6/17 cases); (ii) focal cerebellar tissue loss (2/17); (iii) unilateral cerebellar atrophy/hypoplasia (3/17); (iv) small cerebellum with entrapped fourth ventricle (6/17). In cerebellar pathology, the most common findings were focal or widespread cerebellar subarachnoid hemorrhage (12/15) and olivocerebellar degeneration (12/15). In addition, one-third of the cases indicated remote cerebellar parenchymal hemorrhage.
CONCLUSION: In MRI-defined lesions, the absence of major portions or focal tissue loss was associated with cerebellar parenchymal hemorrhage and/or hemorrhagic infarction, that is destructive lesion. On the other hand, small cerebellum or unilateral atrophy/hypoplasia, that is impaired development, may be related to the cerebellar neuron loss due to hemosiderin deposits in the surface of the cerebellum. The cerebellar injury in ELBWI is probably caused by not only environmental factors such as hemorrhage, hypoxia-ischemia, or other deleterious effect, but also immaturity of the rapidly growing cerebellum in particular gestational age.
Copyright © 2017 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cerebellar injury; Neuroimaging; Neuropathology; Premature infant; Vulnerability

Mesh:

Year:  2017        PMID: 28527815     DOI: 10.1016/j.braindev.2017.04.011

Source DB:  PubMed          Journal:  Brain Dev        ISSN: 0387-7604            Impact factor:   1.961


  3 in total

Review 1.  Prevalence of autism spectrum disorder diagnosis by birth weight, gestational age, and size for gestational age: a systematic review, meta-analysis, and meta-regression.

Authors:  Bao-Qiang Guo; Hong-Bin Li; De-Sheng Zhai; Li-Qiang Yang
Journal:  Eur Child Adolesc Psychiatry       Date:  2022-09-06       Impact factor: 5.349

2.  The application of magnetic resonance imaging and diffusion-weighted imaging in the diagnosis of hypoxic-ischemic encephalopathy and kernicterus in premature infants.

Authors:  Lin Zhang; Jin Gao; Yibin Zhao; Qian Zhang; Jiantian Lu; Xiaoyun Yang
Journal:  Transl Pediatr       Date:  2021-04

Review 3.  Developing a Family-Centered Care Model in the Neonatal Intensive Care Unit (NICU): A New Vision to Manage Healthcare.

Authors:  Sagrario Gómez-Cantarino; Inmaculada García-Valdivieso; Eva Moncunill-Martínez; Benito Yáñez-Araque; M Idoia Ugarte Gurrutxaga
Journal:  Int J Environ Res Public Health       Date:  2020-10-01       Impact factor: 3.390

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.