[1]张大道,徐 圆.基于MRI增强绝对梯度纹理分析对垂体瘤质地术前评估的可行性分析[J].医学信息,2021,34(16):91-94.[doi:10.3969/j.issn.1006-1959.2021.16.024]
　ZHANG Da-dao,XU Yuan.Feasibility Analysis of Preoperative Assessment of Pituitary Tumor Texture Based on MRI-enhanced Absolute Gradient Texture Analysis[J].Medical Information,2021,34(16):91-94.[doi:10.3969/j.issn.1006-1959.2021.16.024]
点击复制

基于MRI增强绝对梯度纹理分析对垂体瘤质地术前评估的可行性分析()
分享到：

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
34卷
期数:
2021年16期
页码:
91-94
栏目:
论著
出版日期:
2021-08-15

文章信息/Info

Title:
Feasibility Analysis of Preoperative Assessment of Pituitary Tumor Texture Based on MRI-enhanced Absolute Gradient Texture Analysis
文章编号:
1006-1959（2021）16-0091-04
作者:
张大道; 徐 圆
（1.南通大学附属建湖人民医院影像科，江苏 建湖 224700； 2.盐城市第一人民医院影像科，江苏 盐城 224001）
Author(s):
ZHANG Da-dao; XU Yuan
(1.Department of Imaging,Jianhu People’s Hospital,Nantong University,Jianhu 224700,Jiangsu,China; 2.Department of Imaging,Yancheng NO.1 People’s Hospital,Yancheng 224001,Jiangsu,China)
关键词:
垂体瘤; 质地; 灰度绝对梯度; 纹理分析; 磁共振成像
Keywords:
Pituitary tumor; Texture; Absolute gradient of gray; Texture analysis; Magnetic resonance imaging
分类号:
R445
DOI:
10.3969/j.issn.1006-1959.2021.16.024
文献标志码:
A
摘要:
目的 采用MRI绝对梯度纹理分析方法对垂体瘤的质地进行分析，并探讨该技术的可行性，为垂体瘤的术前评估及术式选择提供影像学参照。方法 回顾性分析2018年1月~2020年6月本院经手术病理证实的55例垂体瘤患者的病例资料，其中质地硬者20例，质地软者35例，选取病变矢状位增强T1WI图像最大层面，采用Mazda纹理分析软件勾画感兴趣区，比较软、硬两种质地垂体瘤绝对梯度参数，采用二元Logistic回归分析法及ROC曲线分析法联合预测因子及各参数对软、硬两种质地垂体瘤的诊断效能。结果 不同质地垂体瘤梯度均值及变异度比较，差异有统计学意义（P＜0.05）；不同质地垂体瘤偏度、峰度、非零梯度百分比比较，差异无统计学意义（P＞0.05）。二元Logistic回归分析显示，联合预测因子取值0.810时，其对应的敏感度和特异度分别为100.00%、80.00%。ROC曲线分析显示，梯度均值、变异度及联合预测因子的AUC值均大于0.7，同时联合预测因子的AUC值达0.920，较均值及梯度具有更好的诊断效能。结论 MRI绝对梯度分析方法可提供量化型特征参数，为垂体瘤质地的术前评估提供了新的切入点。
Abstract:
Objective To analyze the texture of pituitary tumors using MRI absolute gradient texture analysis method, and to explore the feasibility of this technique, so as to provide an imaging reference for the preoperative evaluation and surgical selection of pituitary tumors.Methods A retrospective analysis of the case data of 55 patients with pituitary tumors confirmed by surgery and pathology in our hospital from January 2018 to June 2020.Among them, 20 cases had hard texture and 35 cases had soft texture.The maximum level of the T1WI image was enhanced in the sagittal view of the lesion.Using Mazda texture analysis software to delineate the area of interest, compare the absolute gray gradient parameters of pituitary tumors with soft and hard textures.The dual logistic regression analysis method and ROC curve analysis method were used to combine predictive factors and various parameters in the diagnosis of soft and hard pituitary tumors.Results There was a statistically significant difference in the gradient mean and variability of pituitary tumors of different textures (P＜0.05);There was no statistically significant difference in the skewness, kurtosis, and percentage of non-zero gradient of pituitary tumors of different textures (P>0.05).Binary Logistic regression analysis showed that when the combined predictor value was 0.810, the corresponding sensitivity and specificity are 100.00% and 80.00%, respectively.ROC curve analysis showed that the average value of the gradient, the degree of variability and the AUC value of the combined predictor were all greater than 0.7, and the AUC value of the combined predictor reached 0.920, which has better diagnostic performance than the average and gradient.Conclusion The MRI gray-scale absolute gradient analysis method can provide quantitative characteristic parameters and provide a new entry point for the preoperative evaluation of pituitary tumor texture.

参考文献/References:

[1]Saeger W.New aspects of tumor pathology of the pituitary[J].Pathologe,2015,36(3):293-300. [2]张彧,吴安华,韩帅,等.MRI影像三维重建在垂体瘤质地的术前评估中的应用[J].中国医科大学学报,2019,48(3):34-38. [3]黄梦倩,张瑞恒,刘楚浩,等.影像组学在神经系统疾病中的应用研究[J].医学信息,2019,32(16):47-50. [4]朱晨迪,张勇,程敬亮,等.MRI灰度直方图分析在儿童后颅窝常见肿瘤中的鉴别诊断价值[J].放射学实践,2018,33(3):285-289. [5]汪卫建,程敬亮,张勇,等.增强磁共振直方图分析鉴别儿童毛细胞型星形细胞瘤和室管膜瘤的价值[J].临床放射学杂志,2018,37(2):303-306. [6]陈鑫,魏新华,杨蕊梦,等.常规MRI纹理分析鉴别脑胶质母细胞瘤和单发转移瘤的价值[J].中华放射学杂志,2016,50(3):186-190. [7]张永超,张振,吴洪喜,等.垂体瘤质地与 MR 信号强度的相关性研究[J].中国实用神经疾病杂志,2014,17(19):24-25. [8]梁阿铭,董瑞,姜羽,等.神经内镜在经鼻蝶垂体瘤切除术中的作用分析[J].中国实用神经疾病杂志,2020,23(13):1140-1143. [9]杨晓莹,朱远,张敏,等.垂体腺瘤质地与MRI图像的纹理分析比较[J].临床放射学杂志,2019,38(4):613-617. [10]黄琦,张劲梅.术前MRI在评估不同质地垂体瘤中的应用[J].中国CT和MRI杂志,2019,17(4):14-16. [11]Wei L,Lin SA,Fan K,et al.Relationship between pituitary adenoma texture and collagen content revealed by comparative study of MRI and pathology analysis[J].Int J Clin Exp Med,2015,8(8):12898-12905. [12]Ma Z,He W,Zhao Y,et al.Predictive value of PWI for blood supply and T1-spin echo MRI for consistency of pituitary adenoma[J].Neuroradiology,2016,58(1):51-57.

相似文献/References:

[1]谢树永,牛 敏,蒋瑞妹,等.肉芽肿性垂体炎误诊为垂体瘤1例[J].医学信息,2018,31(13):187.[doi:10.3969/j.issn.1006-1959.2018.13.059]
[2]胡昕倩,余雅婕,方 明.垂体瘤的基因芯片数据生物信息学分析[J].医学信息,2020,33(06):90.[doi:10.3969/j.issn.1006-1959.2020.06.026]
　HU Xin-qian,YU Ya-jie,FANG Ming.Bioinformatics Analysis of Gene Chip Data for Pituitary Tumors[J].Medical Information,2020,33(16):90.[doi:10.3969/j.issn.1006-1959.2020.06.026]

更新日期/Last Update: 1900-01-01