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Magnetic resonance imaging in autism spectrum disorders: clinical and neuroradiological phenotypes

BACKGROUND AND AIM: Autism Spectrum Disorders (ASDs) are a group of neurodevelopmental disorders that can severely compromise social and cognitive functions in childhood. Magnetic Resonance Imaging (MRI) currently represents the gold standard as an in vivo and non-invasive study of the human brain m...

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Autores principales: Pizzolorusso, Francesco, Paparella, Maria Teresa, Pizzolorusso, Ilaria, Masino, Federica, Guglielmi, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mattioli 1885 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210579/
https://www.ncbi.nlm.nih.gov/pubmed/37092643
http://dx.doi.org/10.23750/abm.v94i2.13434
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author Pizzolorusso, Francesco
Paparella, Maria Teresa
Pizzolorusso, Ilaria
Masino, Federica
Guglielmi, Giuseppe
author_facet Pizzolorusso, Francesco
Paparella, Maria Teresa
Pizzolorusso, Ilaria
Masino, Federica
Guglielmi, Giuseppe
author_sort Pizzolorusso, Francesco
collection PubMed
description BACKGROUND AND AIM: Autism Spectrum Disorders (ASDs) are a group of neurodevelopmental disorders that can severely compromise social and cognitive functions in childhood. Magnetic Resonance Imaging (MRI) currently represents the gold standard as an in vivo and non-invasive study of the human brain morphology. This work aims to search for possible links between clinical phenotypes and radiological anomalies that may be relevant and pathognomonic in the subsequent diagnosis of ASDs. METHODS: This is a retrospective study in which 132 patients (112 males and 20 females) with neurodevelopment disorders, including ASDs, were enrolled. The population study was divided into three groups considering their own pathological diagnosis. All patients included in this population underwent genetic screening and one or multiple 1.5T MRI scans were performed to evaluate potential anomalies of the corpus callosum, periventricular white matter, ventricular space, cerebellum, subarachnoid space and thalamus. RESULTS: Univariate analysis showed that the presence of MRI brain abnormalities was a significant variable in predicting the presence of ASDs (p<0.001). Increased ventricular volume was one of the most replicated findings in ASDs patients (48% in group 3, 24% in group 1 and 4 % in group 2) and it was reported to be statistically significant both in uni- and multivariate analysis (p<0.025, p<0.045), resulting even as a potentially predictive factor of diagnosis. CONCLUSIONS: This study can represent a starting point for the research of new radiological evidence that might be important to early diagnose ASDs and for making a differential diagnosis with all those conditions that mimic autistic traits, but which are not clinically connected to the spectrum disorder itself. (www.actabiomedica.it)
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spelling pubmed-102105792023-05-26 Magnetic resonance imaging in autism spectrum disorders: clinical and neuroradiological phenotypes Pizzolorusso, Francesco Paparella, Maria Teresa Pizzolorusso, Ilaria Masino, Federica Guglielmi, Giuseppe Acta Biomed Original Article BACKGROUND AND AIM: Autism Spectrum Disorders (ASDs) are a group of neurodevelopmental disorders that can severely compromise social and cognitive functions in childhood. Magnetic Resonance Imaging (MRI) currently represents the gold standard as an in vivo and non-invasive study of the human brain morphology. This work aims to search for possible links between clinical phenotypes and radiological anomalies that may be relevant and pathognomonic in the subsequent diagnosis of ASDs. METHODS: This is a retrospective study in which 132 patients (112 males and 20 females) with neurodevelopment disorders, including ASDs, were enrolled. The population study was divided into three groups considering their own pathological diagnosis. All patients included in this population underwent genetic screening and one or multiple 1.5T MRI scans were performed to evaluate potential anomalies of the corpus callosum, periventricular white matter, ventricular space, cerebellum, subarachnoid space and thalamus. RESULTS: Univariate analysis showed that the presence of MRI brain abnormalities was a significant variable in predicting the presence of ASDs (p<0.001). Increased ventricular volume was one of the most replicated findings in ASDs patients (48% in group 3, 24% in group 1 and 4 % in group 2) and it was reported to be statistically significant both in uni- and multivariate analysis (p<0.025, p<0.045), resulting even as a potentially predictive factor of diagnosis. CONCLUSIONS: This study can represent a starting point for the research of new radiological evidence that might be important to early diagnose ASDs and for making a differential diagnosis with all those conditions that mimic autistic traits, but which are not clinically connected to the spectrum disorder itself. (www.actabiomedica.it) Mattioli 1885 2023 2023-04-24 /pmc/articles/PMC10210579/ /pubmed/37092643 http://dx.doi.org/10.23750/abm.v94i2.13434 Text en Copyright: © 2023 ACTA BIO MEDICA SOCIETY OF MEDICINE AND NATURAL SCIENCES OF PARMA https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License
spellingShingle Original Article
Pizzolorusso, Francesco
Paparella, Maria Teresa
Pizzolorusso, Ilaria
Masino, Federica
Guglielmi, Giuseppe
Magnetic resonance imaging in autism spectrum disorders: clinical and neuroradiological phenotypes
title Magnetic resonance imaging in autism spectrum disorders: clinical and neuroradiological phenotypes
title_full Magnetic resonance imaging in autism spectrum disorders: clinical and neuroradiological phenotypes
title_fullStr Magnetic resonance imaging in autism spectrum disorders: clinical and neuroradiological phenotypes
title_full_unstemmed Magnetic resonance imaging in autism spectrum disorders: clinical and neuroradiological phenotypes
title_short Magnetic resonance imaging in autism spectrum disorders: clinical and neuroradiological phenotypes
title_sort magnetic resonance imaging in autism spectrum disorders: clinical and neuroradiological phenotypes
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210579/
https://www.ncbi.nlm.nih.gov/pubmed/37092643
http://dx.doi.org/10.23750/abm.v94i2.13434
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