Prediction of the mean transit time using machine learning models based on radiomics features from digital subtraction angiography in moyamoya disease or moyamoya syndrome—a development and validation model study

BACKGROUND: Digital subtraction angiography (DSA) is an important technique for diagnosis of moyamoya disease (MMD) or moyamoya syndrome (MMS), and computed tomography perfusion (CTP) is essential for assessing intracranial blood supply. The aim of this study was to assess whether radiomics features...

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Detalles Bibliográficos
Autores principales: Qin, Kun, Guo, Zhige, Peng, Chao, Gan, Wu, Zhou, Dong, Chen, Guangzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628422/
https://www.ncbi.nlm.nih.gov/pubmed/37941836
http://dx.doi.org/10.21037/cdt-23-151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628422/
https://www.ncbi.nlm.nih.gov/pubmed/37941836
http://dx.doi.org/10.21037/cdt-23-151

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