增强MRI全域直方图鉴别儿童星形细胞瘤和室管膜瘤的价值  

The Value of Whole Tumors Volume Based Enhancement MRI Histogram Analysis 0f Differential Diagnosis in Children with Astrocytoma and Ependymoma

作　　者：许珂[1] 张勇[1] 程敬亮[1] 汪卫建 XU Ke;ZHANG Yong;CHENG Jing-liang;WANG Wei-jian(Department of Magnetic Resonance,the First Affiliated Hospital of Zhengzhou University,Zhengzhou 450052,Henan Province,China)

机构地区：[1]郑州大学第一附属医院磁共振科,河南郑州450052

出　　处：《中国CT和MRI杂志》2024年第8期14-16,共3页Chinese Journal of CT and MRI

摘　　要：目的深入探究T_(1)全域灰度直方图分析在儿童后颅窝星形细胞瘤与室管膜瘤鉴别诊断中的实用价值。方法本研究对我院数据库中记录的51例经MRI检查及病理确诊的儿童后颅窝肿瘤病例进行了详尽的回顾性剖析。在这51例病例中,星形细胞瘤占26例(男性12例,女性14例),室管膜细胞瘤占25例(男性13例,女性12例)。患者年龄分布在1至12岁之间,平均年龄为(5.5±2.3)岁。我们运用Mazda软件,在两组MR增强T_(1)矢状位图像的每一层肿瘤层面上,精确地勾画出感兴趣区域,并进行全面的灰度全域直方图分析。接着,我们对这两组直方图参数特征进行了详尽的统计学对比,旨在深入剖析各参数在鉴别诊断中的统计意义,以期为儿童后颅窝肿瘤的精确诊断提供更为有效的辅助手段。结果在深入分析通过增强T_(1)全域灰度直方图所提取的九个参数时,我们发现其中四个参数——变异度(Variance)、偏度(Skewness)、第一百分位数(Perc.01%)以及第10百分位数(Perc.10%)在统计学上具有显著差异(P均<0.05),这一发现为我们的研究提供了强有力的数据支撑。特别是Variance这一参数,其灵敏度高达73.3%,特异度也达到了61.9%,且其曲线下面积(AUC)为0.731,展现出优秀的鉴别效能。进一步地,我们确定了Variance的最佳临界值为740.71,这一具体数值为我们的诊断提供了明确的参考标准。结论增强的T_(1)全域灰度直方图分析在儿童后颅窝星形细胞瘤和室管膜瘤的鉴别诊断中,展现出了不容忽视的价值。这一方法不仅能够为医生提供新的诊断视角,而且有望成为一种针对这两种儿童后颅窝肿瘤的有效辅助诊断工具,为我们的医疗实践带来积极的影响。Objective To explore the practical value of T_(1) global gray histogram analysis in the differential diagnosis of posterior fossa astrocytoma and ependymoma in children.Methods In this study,51 cases of posterior cranial fossa tumor diagnosed by MRI and pathology in our hospital database were analyzed retrospectively.Of these 51 cases,26 were astrocytomas(12 males and 14 females)and 25 were ependymomas(13 males and 12 females).Patients ranged in age from 1 to 12 years,with an average age of(5.5±2.3)years.We used Mazda software to precisely delineate regions of interest at each tumor level in two sets of MR Enhanced T_(1) sagittal images,and performed comprehensive gray scale global histogram analysis.Then,we conducted a detailed statistical comparison of these two groups of histogram parameters,aiming to deeply analyze the statistical significance of each parameter in the differential diagnosis,in order to provide a more effective auxiliary means for the accurate diagnosis of posterior cranial fossa tumors in children.Results In the in-depth analysis of the nine parameters extracted by enhancing the T_(1) global gray histogram,We found that four of these parameters-Variance,Skewness,first percentile(Perc.01%),and 10th percentile(Perc.10%)-were statistically significant(P<0.05),which provides strong data support for our study.In particular,Variance has a sensitivity of 73.3%,a specificity of 61.9%,and an area under the curve(AUC)of 0.731,showing excellent discrimination efficiency.Further,we determined that the optimal threshold of Variance is 740.71,which provides a clear reference standard for our diagnosis.Conclusion Enhanced T_(1) global gray histogram analysis is of great value in the differential diagnosis of posterior fossa astrocytoma and ependymoma in children.This method can not only provide doctors with a new diagnostic perspective,but also is expected to become an effective auxiliary diagnostic tool for these two types of children's posterior cranial fossa tumors,and bring positive impact on our medic

关 键 词：磁共振成像 儿童 后颅窝肿瘤 全域 灰度直方图 

分 类 号：R445.2[医药卫生—影像医学与核医学]