作者
Archya Dasgupta, Tejpal Gupta, Sona Pungavkar, Neelam Shirsat, Sridhar Epari, Girish Chinnaswamy, Abhishek Mahajan, Amit Janu, Aliasgar Moiyadi, Sadhana Kannan, Rahul Krishnatry, Goda Jayant Sastri, Rakesh Jalali
发表日期
2019/1/1
期刊
Neuro-oncology
卷号
21
期号
1
页码范围
115-124
出版商
Oxford University Press
简介
Background
Novel biological insights have led to consensus classification of medulloblastoma into 4 distinct molecular subgroups—wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4. We aimed to predict molecular subgrouping in medulloblastoma based on preoperative multiparametric magnetic resonance imaging (MRI) characteristics.
Methods
A set of 19 MRI features were evaluated in 111 patients with histologic diagnosis of medulloblastoma for prediction of molecular subgrouping. MRI characteristics were correlated with molecular subgroups derived from tissue samples in 111 patients (WNT = 17, SHH = 44, Group 3 = 27, and Group 4 = 23). Multinomial logistic regression of imaging parameters was performed on a training cohort (TC) of 76 patients, representing two-thirds of randomly selected patients from each of 4 molecular subgroups, to generate binary …
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A Dasgupta, T Gupta, S Pungavkar, N Shirsat, S Epari… - Neuro-oncology, 2019