[1]李腾翔,巩贯忠,仇清涛,等. 鼻咽癌CT影像组学量化分析研究[J].中国医学物理学杂志,2019,36(5):551-555.[doi:DOI:10.3969/j.issn.1005-202X.2019.05.011]
　LI Tengxiang,GONG Guanzhong,QIU Qingtao,et al. Quantitative analysis of CT radiomics features of nasopharyngeal carcinoma[J].Chinese Journal of Medical Physics,2019,36(5):551-555.[doi:DOI:10.3969/j.issn.1005-202X.2019.05.011]
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 鼻咽癌CT影像组学量化分析研究()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
36卷
期数:
2019年第5期
页码:
551-555
栏目:
医学影像物理
出版日期:
2019-05-25

文章信息/Info

Title:
 Quantitative analysis of CT radiomics features of nasopharyngeal carcinoma
文章编号:
1005-202X（2019）05-0551-05
作者:
 李腾翔1; 巩贯忠2; 仇清涛2; 尹勇2; 邱小平1
1.南华大学核科学技术学院， 湖南 衡阳 421001； 2.山东大学附属山东省肿瘤医院放射物理技术科， 山东 济南 250117
Author(s):
 LI Tengxiang1;  GONG Guanzhong2;  QIU Qingtao2;  YIN Yong2;  QIU Xiaoping1
 1. School of Nuclear Science and Technology, University of South China, Hengyang 421001, China; 2. Department of Radiophysical Technology, Shandong Cancer Hospital, Shandong University, Ji’nan 250117, China
关键词:
 ; 鼻咽癌; 影像组学; 量化分析; 异质性
Keywords:
Keywords: nasopharyngeal carcinoma;  radiomics;  quantitative analysis;  heterogeneity
分类号:
R318；R739.6
DOI:
DOI:10.3969/j.issn.1005-202X.2019.05.011
文献标志码:
A
摘要:
 目的：分析不同强化时相鼻咽癌CT影像组学特征的差异及其变化规律。方法：回顾性分析41例初诊鼻咽癌患者CT图像，每组CT图像包含平扫、动脉期、静脉期3个时相，将大体肿瘤靶区（GTV）和翼外肌设置为感兴趣区。比较不同时相GTV、翼外肌间影像组学特征参数的差异。结果：在平扫与动脉期、平扫与静脉期、动脉期与静脉期3组比较中，GTV和翼外肌各自差异有统计学意义的特征分别有18、21、9个和31、31、22个。在动脉期、静脉期与平扫的比较中，GTV灰度强度四分位差随分位数增大而增大。GTV与翼外肌在平扫、动脉期、静脉期的比较中，差异具有统计学意义的特征平扫时主要分布在灰度共生矩阵。3组比较中共有的差异有统计学意义的特征有18个，经接受者操作特性（Receiver Operating Characteristic）曲线分析，有10个特征预测GTV满足ROC曲线下面积≥0.9，全部分布于灰度共生矩阵、灰度强度。结论：CT影像组学可以量化分析鼻咽癌肿瘤与正常组织在多期CT图像中的细微差异，客观反映其动态变化，为鼻咽癌的精确诊断和定量分析提供参考。
Abstract:
 Abstract: Objective To analyze the differences and change patterns of radiomics features in the multi-phase contrast-enhanced computed tomography (CT) images of nasopharyngeal carcinoma (NPC). Methods The CT images of 41 patients with newly diagnosed NPC were retrospectively analyzed. Each group of CT images consisted of 3 phases, namely plain scan, arterial phase and venous phase. The gross tumor volume (GTV) and pterygoid muscle at each phase were set as regions of interest. Finally, the differences in CT radiomic features of GTV and pterygoid muscle were compared among different phases. Results The comparisons of plain scan and arterial phase, plain scan and venous phase, arterial phase and venous phase showed that there were 18, 21, 9 and 31, 31, 22 statistically significant features of GTV and pterygoid muscle, respectively. The comparison among arterial phase, venous phase and plain scan revealed that the interquartile range of intensity direct in GTV was increased with the increase of the quantile. The statistically significant features of GTV and pterygoid muscle which were found in the comparison among plain scan, arterial phase and venous phase were mainly distributed in the gray level co-occurrence matrix. Among them, 18 common features of GTV and pterygoid muscle were analyzed with receiver operating characteristic curve. There were 10 feature predicting that GTV had an AUC≥0.9 (Area Under Curve), and all of these features were distributed in the gray level co-occurrence matrix and intensity direct. Conclusion CT radiomics can quantitatively analyze the subtle discrepancy of NPC and normal tissues in multi-phase CT images, reflect the dynamic variations and provide a reference for the accurate diagnosis and quantitative analysis of NPC.

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备注/Memo

备注/Memo:
【收稿日期】2019-01-15
【基金项目】国家重点研发计划（2017YFC0113202）
【作者简介】李腾翔，硕士研究生，研究方向：核技术应用专业，E-mail: 17674758361@163.com
【通信作者】邱小平，E-mail：nh6651@163.com；尹勇，E-mail: yinyongsd@126.com
更新日期/Last Update: 2019-05-23