Literature DB >> 15985392

MRI of fetal and neonatal cerebellar development.

Fabio Triulzi1, Cecilia Parazzini, Andrea Righini.   

Abstract

In the last few years magnetic resonance imaging (MRI) has expanded its diagnostic capability in the evaluation of fetal brain. Starting from the 18th to 20th gestational weeks, MRI can reliably depict fetal brain anatomy and locate pathology, offering a robust and reliable tool for the assessment of disorders of the fetal central nervous system. In this review quantitative and qualitative in vivo MRI data on fetal cerebellar development are presented. Our normative reference data have been obtained from a database of 580 MR fetal imaging studies. Normal cases were selected within normal MRI fetal brain studies, and all selected cases had a normal clinical evaluation and a normal cranial ultrasound or MR image after birth. Fetal cerebellar development is gradual, steady, and grossly comparable to the development of the supratentorial brain. Archicerebellar (flocculonodular lobe) and paleocerebellar (vermis) structures develop before the neocerebellum (cerebellar hemispheres) that develops more slowly and largely after birth.

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Year:  2005        PMID: 15985392     DOI: 10.1016/j.siny.2005.05.004

Source DB:  PubMed          Journal:  Semin Fetal Neonatal Med        ISSN: 1744-165X            Impact factor:   3.926


  19 in total

Review 1.  Magnetic resonance imaging of fetal cerebellar development.

Authors:  Fabio Triulzi; Cecilia Parazzini; Andrea Righini
Journal:  Cerebellum       Date:  2006       Impact factor: 3.847

2.  Prenatal magnetic resonance imaging: brain normal linear biometric values below 24 gestational weeks.

Authors:  C Parazzini; A Righini; M Rustico; D Consonni; F Triulzi
Journal:  Neuroradiology       Date:  2008-06-19       Impact factor: 2.804

3.  Development of the human fetal cerebellum in the second trimester: a post mortem magnetic resonance imaging evaluation.

Authors:  Fei Liu; Zhonghe Zhang; Xiangtao Lin; Gaojun Teng; Haiwei Meng; Taifei Yu; Fang Fang; Fengchao Zang; Zhenping Li; Shuwei Liu
Journal:  J Anat       Date:  2011-08-04       Impact factor: 2.610

4.  Date-independent parameters: an innovative method to assess fetal cerebellar vermis.

Authors:  Ting Lei; Hong-Ning Xie; Yun-Xiao Zhu; Ju Zheng; Fan Zhang; Jie-Ling Feng
Journal:  Cerebellum       Date:  2015-06       Impact factor: 3.847

5.  Normal fetal posterior fossa in MR imaging: new biometric data and possible clinical significance.

Authors:  R Ber; O Bar-Yosef; C Hoffmann; D Shashar; R Achiron; E Katorza
Journal:  AJNR Am J Neuroradiol       Date:  2015-02-05       Impact factor: 3.825

Review 6.  Pre- and Postnatal Neuroimaging of Congenital Cerebellar Abnormalities.

Authors:  Andrea Poretti; Eugen Boltshauser; Thierry A G M Huisman
Journal:  Cerebellum       Date:  2016-02       Impact factor: 3.847

7.  Development of cerebellar connectivity in human fetal brains revealed by high angular resolution diffusion tractography.

Authors:  Emi Takahashi; Emiko Hayashi; Jeremy D Schmahmann; P Ellen Grant
Journal:  Neuroimage       Date:  2014-03-17       Impact factor: 6.556

8.  3D Super-Resolution Motion-Corrected MRI: Validation of Fetal Posterior Fossa Measurements.

Authors:  Danielle B Pier; Ali Gholipour; Onur Afacan; Clemente Velasco-Annis; Sean Clancy; Kush Kapur; Judy A Estroff; Simon K Warfield
Journal:  J Neuroimaging       Date:  2016-03-18       Impact factor: 2.486

9.  How accurately does current fetal imaging identify posterior fossa anomalies?

Authors:  Catherine Limperopoulos; Richard L Robertson; Omar S Khwaja; Caroline D Robson; Judy A Estroff; Carole Barnewolt; Deborah Levine; Donna Morash; Luanne Nemes; Linda Zaccagnini; Adré J du Plessis
Journal:  AJR Am J Roentgenol       Date:  2008-06       Impact factor: 3.959

10.  Multidimensional analysis of fetal posterior fossa in health and disease.

Authors:  Deniz Vatansever; Vanessa Kyriakopoulou; Joanna M Allsop; Matthew Fox; Andrew Chew; Joseph V Hajnal; Mary A Rutherford
Journal:  Cerebellum       Date:  2013-10       Impact factor: 3.847

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