ArticleAJNR. American journal of neuroradiology2022
Distinctive Brain Malformations in Zhu-Tokita-Takenouchi-Kim Syndrome.
Article in AJNR. American journal of neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Growth outcomes following recombinant human growth hormone therapy in Zhu-Tokita-Takenouchi-Kim syndrome.JCEM case reports · 2026Article
- [Zhu-Tokita-Takenouchi-Kim syndrome in a neonate].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025Article
- Review
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Authors and funding
12 authors at 11 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeZhu-Tokita-Takenouchi-Kim syndrome is a severe multisystem malformation disorder characterized by developmental delay and a diverse array of congenital abnormalities. However, these currently identified phenotypic components provide limited guidance in diagnostic situations, due to both the nonspecificity and variability of these features. Here we report a case series of 7 individuals with a molecular diagnosis of Zhu-Tokita-Takenouchi-Kim syndrome, 5 ascertained by their presentation with the neuronal migration disorder, periventricular nodular heterotopia. MATERIALS AND
methodsIndividuals with a molecular diagnosis of Zhu-Tokita-Takenouchi-Kim syndrome were recruited from 2 sources, a high-throughput sequencing study of individuals with periventricular nodular heterotopia or from clinical diagnostic sequencing studies. We analyzed available brain MR images of recruited individuals to characterize periventricular nodular heterotopia distribution and to identify the presence of any additional brain abnormalities.
resultsPathogenic variants in
conclusionsThe recurrent neuroradiologic changes identified here represent an opportunity to guide diagnostic formulation of Zhu-Tokita-Takenouchi-Kim syndrome on the basis of brain MR imaging evaluation.
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