Association of Radiomics and Metabolic Tumor Volumes in Radiation Treatment of Glioblastoma Multiforme.
Association of Radiomics and Metabolic Tumor Volumes in Radiation Treatment of Glioblastoma Multiforme.
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DOI：
10.1016/j.ijrobp.2016.11.011
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发表时间：
2017-03-01
期刊：
影响因子：
--
通讯作者：
Stoyanova R
中科院分区：
文献类型：
--
作者：
Lopez CJ;Nagornaya N;Parra NA;Kwon D;Ishkanian F;Markoe AM;Maudsley A;Stoyanova R
为研究成像、临床靶体积（CTVs）和代谢肿瘤体积（MTVs）特征之间的关系建立一个框架，以便更好地理解CTVs中的潜在信息以及这些体积之间的依赖关系。从多形性胶质母细胞瘤（GBM）的磁共振成像（MRI）和磁共振光谱成像中高通量提取成像和代谢组学定量特征，每位患者可获得数十个变量。在GBM放射治疗中，相关代谢肿瘤体积（MTVs）与n -乙酰天冬氨酸（NAA）和胆碱（Cho）的异常水平有关。放射治疗相应的临床靶体积（ctv）是基于对比增强的t1加权（CE-T1w）和t2加权(T2w)/液体衰减反转恢复MRI。在17例GBM患者的CE-T1w/T2w图像上手动绘制坏死部分、强化病变和水肿。构建NAA （MTVNAA）和Cho （MTVCho）的临床靶体积和mtv。提取与体积大小、形状和信号强度相关的成像和代谢特征。神经放射学家还对肿瘤进行了10个语义成像特征的分类评分。所有的特征都进行了冗余调查。成像与ctv / mtv特征之间的双向相关性被可视化为热图。采用Spearman相关性研究MTVNAA和MTVCho与影像学特征的关系。每位患者提取48个影像学特征。一半的成像特征被自动提取的连续变量所取代。从ctv和mtv中提取了20个特征。将一系列语义成像特征替换为自动提取的连续变量。影像学指标与ctv /MTVNAA有多个显著相关性，而ctv /MTVCho只有6个显著相关性。建立了MRI和磁共振波谱成像放射学特征与CTVs/MTVs之间相互依赖关系的研究框架。发现NAA的MTV与MRI体积密切相关，而与MTVCho相关的成像特征很少，表明Cho为成像提供了额外的信息。
To build a framework for investigation of the associations between imaging, clinical target volumes (CTVs), and metabolic tumor volumes (MTVs) features for better understanding of the underlying information in the CTVs and dependencies between these volumes. High-throughput extraction of imaging and metabolomic quantitative features from magnetic resonance imaging (MRI) and magnetic resonance spectroscopic imaging of glioblastoma multiforme (GBM) results in tens of variables per patient. In radiation therapy of GBM the relevant metabolic tumor volumes (MTVs) are related to aberrant levels of N-acetyl aspartate (NAA) and choline (Cho). The corresponding clinical target volumes (CTVs) for radiation therapy are based on contrast-enhanced T1-weighted (CE-T1w) and T2-weighted (T2w)/fluid-attenuated inversion recovery MRI. Necrotic portions, enhancing lesion, and edema were manually contoured on CE-T1w/T2w images for 17 GBM patients. Clinical target volumes and MTVs for NAA (MTVNAA) and Cho (MTVCho) were constructed. Imaging and metabolic features related to size, shape, and signal intensities of the volumes were extracted. Tumors were also scored categorically for 10 semantic imaging traits by a neuroradiologist. All features were investigated for redundancy. Two-way correlations between imaging and CTVs/MTVs features were visualized as heatmaps. Associations between MTVNAA and MTVCho and imaging features were studied using Spearman correlation. Forty-eight imaging features were extracted per patient. Half of the imaging traits were replaced with automatically extracted continuous variables. Twenty features were extracted from CTVs and MTVs. A series of semantic imaging traits were replaced with automatically extracted continuous variables. There were multiple significant correlations of imaging measures with CTVs/MTVNAA, whereas there were only 6 with CTVs/MTVCho. A framework for investigation of codependencies between MRI and magnetic resonance spectroscopic imaging radiomic features and CTVs/MTVs has been established. The MTV for NAA was found to be closely associated with MRI volumes, whereas very few imaging features were related to MTVCho, indicating that Cho provides additional information to imaging.
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DOI：
10.1016/j.ijrobp.2003.08.023
发表时间：
2004-05-01
影响因子：
7
作者：
Pirzkall, A;Li, XJ;Nelson, SJ
通讯作者：
Nelson, SJ
影响因子：
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作者：
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影响因子：
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作者：
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Shim, Hyunsuk
DOI：
10.1016/s0360-3016(98)00266-1
发表时间：
1999-01-01
影响因子：
7
作者：
Lee, SW;Fraass, BA;Sandler, HM
通讯作者：
Sandler, HM
影响因子：
5.7
作者：
Minniti, Giuseppe;Amelio, Dante;Enrici, Riccardo Maurizi
通讯作者：
Enrici, Riccardo Maurizi