Differentiation between pilocytic astrocytoma and glioblastoma: a decision tree model using contrast-enhanced magnetic resonance imaging-derived quantitative radiomic features

Objective To differentiate brain pilocytic astrocytoma (PA) from glioblastoma (GBM) using contrast-enhanced magnetic resonance imaging (MRI) quantitative radiomic features by a decision tree model. Methods Sixty-six patients from two centres (PA, n = 31; GBM, n = 35) were randomly divided into train...

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Veröffentlicht in:	European radiology 2019-08, Vol.29 (8), p.3968-3975
Hauptverfasser:	Dong, Fei, Li, Qian, Xu, Duo, Xiu, Wenji, Zeng, Qiang, Zhu, Xiuliang, Xu, Fangfang, Jiang, Biao, Zhang, Minming
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Aged Algorithms Astrocytoma Astrocytoma - diagnosis Brain Brain - pathology Brain cancer Brain Neoplasms - diagnosis Child Classification Datasets Decision Trees Diagnosis, Differential Diagnostic Radiology Entropy Feature extraction Female Glioblastoma Glioblastoma - diagnosis Humans Image contrast Image Enhancement Imaging Internal Medicine Interventional Radiology Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Medicine Medicine & Public Health Middle Aged Model accuracy Neuroimaging Neuroradiology NMR Nuclear magnetic resonance Oncology Permutations Radiology Radiomics Regression analysis Resonance Retrospective Studies Sensitivity Sensitivity analysis Training Tumors Ultrasound Young Adult
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