Lopez Christopher J, Nagornaya Natalya, Parra Nestor A, Kwon Deukwoo, Ishkanian Fazilat, Markoe Arnold M, Maudsley Andrew, Stoyanova Radka
Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida.
Department of Radiology, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida.
Int J Radiat Oncol Biol Phys. 2017 Mar 1;97(3):586-595. doi: 10.1016/j.ijrobp.2016.11.011. Epub 2016 Nov 15.
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 (MTV) and Cho (MTV) 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 MTV and MTV 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 (22) significant correlations of imaging measures with CTVs/MTV, whereas there were only 6 with CTVs/MTV.
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 MTV, indicating that Cho provides additional information to imaging.
构建一个用于研究成像、临床靶体积(CTV)和代谢肿瘤体积(MTV)特征之间关联的框架,以便更好地理解CTV中的潜在信息以及这些体积之间的依赖性。从多形性胶质母细胞瘤(GBM)的磁共振成像(MRI)和磁共振波谱成像中高通量提取成像和代谢组学定量特征,会导致每位患者产生数十个变量。在GBM的放射治疗中,相关的代谢肿瘤体积(MTV)与N-乙酰天门冬氨酸(NAA)和胆碱(Cho)的异常水平有关。放射治疗的相应临床靶体积(CTV)基于对比增强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图像上手动勾勒出坏死部分、强化病变和水肿。构建了临床靶体积以及NAA(MTV)和Cho(MTV)的MTV。提取了与体积的大小、形状和信号强度相关的成像和代谢特征。一位神经放射科医生还对肿瘤的10个语义成像特征进行了分类评分。研究了所有特征的冗余性。成像与CTV/MTV特征之间的双向相关性以热图形式呈现。使用Spearman相关性研究MTV与MTV和成像特征之间的关联。
每位患者提取了48个成像特征。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。一系列语义成像特征被自动提取的连续变量所取代。成像测量与CTV/MTV之间存在多个(22个)显著相关性,而与CTV/MTV之间只有6个显著相关性。
已建立一个用于研究MRI和磁共振波谱成像放射组学特征与CTV/MTV之间相互依赖性的框架。发现NAA的MTV与MRI体积密切相关,而与MTV相关的成像特征很少,这表明Cho为成像提供了额外信息。