カミヤ　コウヘイ   Kamiya Kohei   神谷　昂平    所属   東邦大学  医学部 医学科（大森病院）    職種   講師
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Comparison between Glioblastoma and Primary Central Nervous System Lymphoma Using MR Image-based Texture Analysis.
掲載誌名	正式名：Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine ISSNコード：13473182
出版社	JPN SOC MAGNETIC RESONANCE MEDICINE
巻・号・頁	17(1),pp.50-57
著者・共著者	Akira Kunimatsu,Natsuko Kunimatsu,Kouhei Kamiya,Takeyuki Watadani,Harushi Mori,Osamu Abe
発行年月	2018/01
概要	PURPOSE: To elucidate differences between glioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) with MR image-based texture features. METHODS: This was an Institutional Review Board (IRB)-approved retrospective study. Consecutive, pathologically proven, initially treated 44 patients with GBM and 16 patients with PCNSL were enrolled. We calculated a total of 67 image texture features on the largest contrast-enhancing lesion in each patient on post-contrast T1-weighted images. Texture analyses included first-order features (histogram) and second-order features calculated with gray level co-occurrence matrix, gray level run length matrix (GLRLM), gray level size zone matrix, and multiple gray level size zone matrix. All texture features were measured by two neuroradiologists independently and the intraclass correlation coefficients were calculated. Reproducible features with the intraclass correlation coefficients of greater than 0.7 were used for hierarchical clustering between the cases and the features along with unpaired t statistics-based comparisons under the control of false discovery rate (FDR)<0.05. Principal component analysis (PCA) was performed to find t
DOI	10.2463/mrms.mp.2017-0044
PMID	28638001