Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis
文献类型： 会议论文
第一作者： Luis Miguel Nunez
作者： Luis Miguel Nunez 1 ; Margarida Julia-Sape 2 ; Enrique Romero 3 ; Carles Arus 4 ; Alfredo Vellido 5 ; Ana Paula Candiota 2 ;
作者机构： 1.Centro de Investigacion Biomedica en Red Bioingenieria, Biomateriales y Nanomedicina (CIBER-BBN)
2.CIBER-BBN and Dept. de Bioquimica i Biologia Molecular Universitat Autonoma de Barcelona and Institut de Biotecnologia i Biomedicina
3.Dept. of Computer Science, IDEAI Research Center Universitat Politecnica de Catalunya
4.Dept. de Bioquimica i Biologia Molecular Universitat Autonoma de Barcelona and CIBER-BBN and Institut de Biotecnologia i Biomedicina
5.Dept. of Computer Science, IDEAI Research Center Universitat Politecnica de Catalunya and CIBER-BBN
关键词： Radiomics;Machine learning;Preclinical glioblastoma;Therapy follow-up;Feature selection;Convex-NMF
会议名称： International Joint Conference on Neural Networks
主办单位：
页码： 4597-4604
摘要： Machine learning (ML) methods have shown great potential for the analysis of data involved in medical decisions. However, for these methods to be incorpored in the medical pipeline, they must be made interpretable not only to the data analyst, but also to the medical expert. In this work, we have applied a combination of feature transformation, selection and classification using ML and statistical methods to differentiate between control (untreated) and Temozolomide (TMZ)-treated tumour tissue from a glioblastoma (brain tumour) murine model. As input, we have used T2 weighted magnetic resonance images (MRI) and spectroscopic imaging (MRSI). Radiomics features have been extracted from the MRI dataset, while convex Non-negative Matrix Factorization (Convex-NMF) was used to extract sources from the MRSI dataset. Exhaustive feature selection has revealed parsimonious feature subsets that facilitate the expert interpretation of results while retaining a high discriminatory ability.
分类号： TP183-53
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