Introduction of High Throughput Magnetic Resonance T2-Weighted Image Texture Analysis for WHO Grade 2 and 3 Gliomas.
Introduction of High Throughput Magnetic Resonance T2-Weighted Image Texture Analysis for WHO Grade 2 and 3 Gliomas.
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DOI：
10.1371/journal.pone.0164268
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Kanemura Y
中科院分区：
文献类型：
--
作者：
Kinoshita M;Sakai M;Arita H;Shofuda T;Chiba Y;Kagawa N;Watanabe Y;Hashimoto N;Fujimoto Y;Yoshimine T;Nakanishi K;Kanemura Y
有报告表明，T2加权图像上呈现的肿瘤纹理与胶质瘤的遗传状态相关。因此，需要开发一种能够对大规模图像数据采集进行客观和高吞吐量图像纹理分析的图像分析框架。目前的研究旨在通过在T2加权图像上引入两个新的图像纹理参数来解决这样一个框架的发展，即，Shannon熵和Prewitt滤波。收集了22例WHO 2级和28例3级胶质瘤患者，其术前MRI和IDH1突变状态可用。异质性病灶的Shannon熵值明显高于同质性病灶（p = 0.006），ROC曲线分析表明，T2WI上的Shannon熵值是区分同质性和异质性病灶的可靠指标（p = 0.015，AUC = 0.73）。使用Prewitt滤波，边界清晰的病变显示出比边界模糊的病变更高的边缘平均值和边缘中值（分别为p = 0.0003和p = 0.0005）。ROC曲线分析还证明，边缘均值和中值都是区分边界模糊和边界清晰的病变的有希望的指标，边缘均值和中值都以相当的方式进行（分别为p = 0.0002，AUC = 0.81和p < 0.0001，AUC = 0.83）。最后，IDH1野生型神经胶质瘤在T2WI上显示出统计学上低于IDH1突变神经胶质瘤的香农熵（p = 0.007），但使用Prewitt滤波在IDH1野生型和突变神经胶质瘤之间在边缘中值上没有观察到差异。目前的研究介绍了两个图像指标，反映病变纹理描述的T2WI。这两个指标通过对结果不知情的神经放射科医生的读数进行验证。这一观察结果将有助于该技术在未来胶质瘤大规模图像分析中的进一步应用。
Reports have suggested that tumor textures presented on T2-weighted images correlate with the genetic status of glioma. Therefore, development of an image analyzing framework that is capable of objective and high throughput image texture analysis for large scale image data collection is needed. The current study aimed to address the development of such a framework by introducing two novel parameters for image textures on T2-weighted images, i.e., Shannon entropy and Prewitt filtering. Twenty-two WHO grade 2 and 28 grade 3 glioma patients were collected whose pre-surgical MRI and IDH1 mutation status were available. Heterogeneous lesions showed statistically higher Shannon entropy than homogenous lesions (p = 0.006) and ROC curve analysis proved that Shannon entropy on T2WI was a reliable indicator for discrimination of homogenous and heterogeneous lesions (p = 0.015, AUC = 0.73). Lesions with well-defined borders exhibited statistically higher Edge mean and Edge median values using Prewitt filtering than those with vague lesion borders (p = 0.0003 and p = 0.0005 respectively). ROC curve analysis also proved that both Edge mean and median values were promising indicators for discrimination of lesions with vague and well defined borders and both Edge mean and median values performed in a comparable manner (p = 0.0002, AUC = 0.81 and p < 0.0001, AUC = 0.83, respectively). Finally, IDH1 wild type gliomas showed statistically lower Shannon entropy on T2WI than IDH1 mutated gliomas (p = 0.007) but no difference was observed between IDH1 wild type and mutated gliomas in Edge median values using Prewitt filtering. The current study introduced two image metrics that reflect lesion texture described on T2WI. These two metrics were validated by readings of a neuro-radiologist who was blinded to the results. This observation will facilitate further use of this technique in future large scale image analysis of glioma.
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DOI：
10.1056/nejmoa1407279
发表时间：
2015-06-25
期刊：
The New England journal of medicine
影响因子：
--
作者：
Eckel-Passow JE;Lachance DH;Molinaro AM;Walsh KM;Decker PA;Sicotte H;Pekmezci M;Rice T;Kosel ML;Smirnov IV;Sarkar G;Caron AA;Kollmeyer TM;Praska CE;Chada AR;Halder C;Hansen HM;McCoy LS;Bracci PM;Marshall R;Zheng S;Reis GF;Pico AR;O'Neill BP;Buckner JC;Giannini C;Huse JT;Perry A;Tihan T;Berger MS;Chang SM;Prados MD;Wiemels J;Wiencke JK;Wrensch MR;Jenkins RB
通讯作者：
Jenkins RB
影响因子：
3.7
作者：
Ryu YJ;Choi SH;Park SJ;Yun TJ;Kim JH;Sohn CH
通讯作者：
Sohn CH
影响因子：
3.5
作者：
Ellingson, B. M.;Lai, A.;Cloughesy, T. F.
通讯作者：
Cloughesy, T. F.
影响因子：
17.1
作者：
Andronesi OC;Kim GS;Gerstner E;Batchelor T;Tzika AA;Fantin VR;Vander Heiden MG;Sorensen AG
通讯作者：
Sorensen AG
影响因子：
158.5
作者：
Hegi, ME;Diserens, A;Stupp, R
通讯作者：
Stupp, R