[1]杨婷婷,占 鸣,谢春梅,等.T2WI灰度直方图定量分析在原发性中枢神经系统淋巴瘤和脑胶质瘤鉴别诊断中的价值[J].医学信息,2021,34(13):4-6.[doi:10.3969/j.issn.1006-1959.2021.13.002]
　YANG Ting-ting,ZHAN Ming,XIE Chun-mei,et al.Quantitative Analysis of T2WI Gray Histogram in the Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioma[J].Medical Information,2021,34(13):4-6.[doi:10.3969/j.issn.1006-1959.2021.13.002]
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T2WI灰度直方图定量分析在原发性中枢神经系统淋巴瘤和脑胶质瘤鉴别诊断中的价值()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
34卷
期数:
2021年13期
页码:
4-6
栏目:
出版日期:
2021-07-01

文章信息/Info

Title:
Quantitative Analysis of T2WI Gray Histogram in the Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioma
文章编号:
1006-1959（2021）13-0004-03
作者:
杨婷婷;  占 鸣;  谢春梅; 等
（浙江萧山医院放射科，浙江 杭州 311202）
Author(s):
YANG Ting-ting; ZHAN Ming; XIE Chun-mei; et al.
(Department of Radiology,Zhejiang Xiaoshan Hospital,Hangzhou 311202,Zhejiang,China)
关键词:
磁共振成像; 灰度直方图; 原发性中枢神经系统淋巴瘤; 脑胶质瘤
Keywords:
Magnetic resonance imaging; Gray histogram; Primary central nervous system lymphoma;  Glioma
分类号:
R551.2
DOI:
10.3969/j.issn.1006-1959.2021.13.002
文献标志码:
A
摘要:
目的 探讨T2WI灰度直方图定量分析在原发性中枢神经系统淋巴瘤（PCNSL）和脑胶质瘤鉴别诊断中的价值。方法 搜集我院2016年1月~2020年2月经病理证实的14例PCNSL和17例GBM，回顾性分析患者术前MRI资料。在两组T2WI轴位图像的肿瘤最大层面用MaZda软件勾画感兴趣区（ROI）并进行灰度直方图分析，比较两组肿瘤的灰度直方图特征，包括均值（Mean）、变异度（Variance）、偏度（Skewness）、峰度（Kurtosis）、第1百分位数（Perc.1%）、第10百分位数（Perc.10%）、第50百分位数（Perc．50%）、第90百分位数（Perc.90%）、第99百分位数（Perc.99%）。结果 通过T2WI灰度直方图分析得到的9个参数中，变异度、偏度、Perc.90%、Perc.99%四个参数比较，差异有统计学意义（P＜0.05）；Perc.90% 鉴别PCNSL和胶质瘤效能最高，受试者工作特征（ROC）曲线下面积（AUC）为0.962，敏感度和特异度为 92.90%、82.40%。结论 T2WI灰度直方图定量分析有助于PCNSL和脑胶质瘤的鉴别，Perc.90%具有较高诊断效能。
Abstract:
Objective To explore the value of quantitative analysis of T2WI gray histogram in the differential diagnosis of primary central nervous system lymphoma (PCNSL) and glioma.Methods Collected 14 cases of PCNSL and 17 cases of GBM confirmed by pathology from January 2016 to February 2020 in our hospital, and retrospectively analyzed the preoperative MRI data of the patients.Use MaZda software to delineate the region of interest (ROI) and perform gray-scale histogram analysis on the largest level of the tumor in the two sets of T2WI axial images.Compare the gray histogram features of the two groups of tumors, including mean (Mean), variability (Variance), skewness (Skewness), kurtosis (Kurtosis), 1st percentile (Perc.1%), 10th Percentile (Perc.10%), 50th percentile (Perc.50%), 90th percentile (Perc.90%, 99th percentile (Perc.99%).Results Among the 9 parameters obtained by T2WI gray histogram analysis, the four parameters of variability, skewness, Perc.90%,Perc.99% were compared,the difference was statistically significant (P＜0.05);Perc.90% had the highest efficiency in distinguishing PCNSL from glioma, the area under the receiver operating characteristic (ROC) curve (AUC) was 0.962, and the sensitivity and specificity were 92.90% and 82.40%.Conclusion Quantitative analysis of T2WI gray histogram is helpful to distinguish PCNSL from glioma. Perc.90% has a high diagnostic efficiency.

参考文献/References:

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更新日期/Last Update: 1900-01-01