Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot

Introduction. Radiomics could be potential imaging biomarkers by capturing and analyzing the features. Children and adolescents with CHD have worse neurodevelopmental and functional outcomes compared with their peers. Early diagnosis and intervention are the necessity to improve neurological outcome...

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Autores principales:	Yiwei Pu, Songmei Li, Siyu Ma, Yuanli Hu, Qinghui Hu, Yuting Liu, Mengting Wu, Jia An, Ming Yang, Xuming Mo
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/99b987ee41844b64b0a5cc815bd97819
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spelling	oai:doaj.org-article:99b987ee41844b64b0a5cc815bd978192021-11-08T02:36:15ZBrain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot1748-671810.1155/2021/2380346https://doaj.org/article/99b987ee41844b64b0a5cc815bd978192021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2380346https://doaj.org/toc/1748-6718Introduction. Radiomics could be potential imaging biomarkers by capturing and analyzing the features. Children and adolescents with CHD have worse neurodevelopmental and functional outcomes compared with their peers. Early diagnosis and intervention are the necessity to improve neurological outcomes in CHD patients. Methods. School-aged TOF patients and their healthy peers were recruited for MRI and neurodevelopmental assessment. LASSO regression was used for dimension reduction. ROC curve graph showed the performance of the model. Results. Six related features were finally selected for modeling. The final model AUC was 0.750. The radiomics features can be potential significant predictors for neurodevelopmental diagnoses. Conclusion. The radiomics on the conventional MRI can help predict the neurodevelopment of school-aged children and provide parents with rehabilitation advice as early as possible.Yiwei PuSongmei LiSiyu MaYuanli HuQinghui HuYuting LiuMengting WuJia AnMing YangXuming MoHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7ENComputational and Mathematical Methods in Medicine, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Yiwei Pu Songmei Li Siyu Ma Yuanli Hu Qinghui Hu Yuting Liu Mengting Wu Jia An Ming Yang Xuming Mo Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot
description	Introduction. Radiomics could be potential imaging biomarkers by capturing and analyzing the features. Children and adolescents with CHD have worse neurodevelopmental and functional outcomes compared with their peers. Early diagnosis and intervention are the necessity to improve neurological outcomes in CHD patients. Methods. School-aged TOF patients and their healthy peers were recruited for MRI and neurodevelopmental assessment. LASSO regression was used for dimension reduction. ROC curve graph showed the performance of the model. Results. Six related features were finally selected for modeling. The final model AUC was 0.750. The radiomics features can be potential significant predictors for neurodevelopmental diagnoses. Conclusion. The radiomics on the conventional MRI can help predict the neurodevelopment of school-aged children and provide parents with rehabilitation advice as early as possible.
format	article
author	Yiwei Pu Songmei Li Siyu Ma Yuanli Hu Qinghui Hu Yuting Liu Mengting Wu Jia An Ming Yang Xuming Mo
author_facet	Yiwei Pu Songmei Li Siyu Ma Yuanli Hu Qinghui Hu Yuting Liu Mengting Wu Jia An Ming Yang Xuming Mo
author_sort	Yiwei Pu
title	Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot
title_short	Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot
title_full	Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot
title_fullStr	Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot
title_full_unstemmed	Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot
title_sort	brain mri radiomics analysis of school-aged children with tetralogy of fallot
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/99b987ee41844b64b0a5cc815bd97819
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_version_	1718443120273653760

Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot

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