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中华神经创伤外科电子杂志 ›› 2022, Vol. 08 ›› Issue (06) : 329 -334. doi: 10.3877/cma.j.issn.2095-9141.2022.06.003

临床研究

基于MR-T2WI直方图预测脊膜瘤质地的研究
吴箭午1, 陈业煌1, 薛亮1, 黄银兴1, 王守森1, 魏梁锋1,()   
  1. 1. 350025 福州,联勤保障部队第九〇〇医院神经外科
  • 收稿日期:2022-09-09 出版日期:2022-12-15
  • 通信作者: 魏梁锋
  • 基金资助:
    福建省自然科学基金(2021J011276); 联勤保障部队第九〇〇医院临床应用研究专项(2020L18); 福建省引导性项目(2016Y0070)

Predictive value of MR-T2WI histogram for the texture of spinal meningioma

Jianwu Wu1, Yehuang Chen1, Liang Xue1, Yinxing Huang1, Shousen Wang1, Liangfeng Wei1,()   

  1. 1. Department of Neurosurgery, 900 Hospital of Joint Logistics Team of People's Liberation Army, Fuzhou 350025, China
  • Received:2022-09-09 Published:2022-12-15
  • Corresponding author: Liangfeng Wei
引用本文:

吴箭午, 陈业煌, 薛亮, 黄银兴, 王守森, 魏梁锋. 基于MR-T2WI直方图预测脊膜瘤质地的研究[J]. 中华神经创伤外科电子杂志, 2022, 08(06): 329-334.

Jianwu Wu, Yehuang Chen, Liang Xue, Yinxing Huang, Shousen Wang, Liangfeng Wei. Predictive value of MR-T2WI histogram for the texture of spinal meningioma[J]. Chinese Journal of Neurotraumatic Surgery(Electronic Edition), 2022, 08(06): 329-334.

目的

探讨术前常规MR-T2WI直方图对脊膜瘤质地的预测价值。

方法

回顾性分析联勤保障部队第九〇〇医院神经外科自2015年1月至2022年5月收治的40例脊膜瘤患者的临床资料。根据术中切除难易程度,将肿瘤分为软质地组和硬质地组。所有患者术前均行3.0T MRI扫描,采用ImageJ软件在T2WI矢状位上选取肿瘤最大径层面并勾画感兴趣区域(ROI),测量ROI的直方图相关参数,包括均数、中位数、众数、最大值、最小值、标准差、偏斜度和峰度,比较分析软质地组和硬质地组各项参数的差异,并将差异有统计学意义的参数绘制受试者工作特征(ROC)曲线,分析T2WI直方图对脊膜瘤质地的预测效能。

结果

2组T2WI直方图信号值的最大值、最小值、标准差、偏斜度和峰度比较差异无统计学意义(P>0.05)。软质地组T2WI直方图信号值的均数、中位数及众数均显著大于硬质地组,差异有统计学意义(P<0.05)。瘤体软质地组的均数、中位数及众数的ROC曲线下面积分别为0.801、0.804、和0.792。均数的临界值为272.290,鉴别敏感度为91.67%,特异度为60.70%;中位数临界值为373.680,鉴别敏感度为66.70%,特异度为85.70%;众数临界值为295.350,鉴别的敏感度为83.30%,特异度为67.90%。

结论

肿瘤瘤体T2WI直方图信号值均数、中位数、众数均可用于脊膜瘤质地的预测,其中以中位数较优。

Objective

To investigate the predictive value of preoperative conventional MR-T2WI histograms on texture of spinal meningioma.

Methods

The clinical data of 40 patients with spinal meningioma admitted to the Neurosurgery Department of 900th Hospital of Joint Logistics Team of People's Liberation Army from January 2015 to May 2022 were analyzed retrospectively. The tumors were divided into soft and rigid groups according to the difficulty of intraoperative resection. All patients underwent 3.0T MRI scan before surgery, selected the maximum diameter level of the tumor in the T2WI sagittal position by ImageJ software and delineated the region of interest (ROI), and measured the histogram related parameters of ROI, including the mean, median, crowd, maximum, minimum, standard deviation, bias, and kurtosis. The differences between the parameters in the soft and hard texture groups were compared, and the receiver operating characteristics (ROC) curves were drawn between the statistically significant parameters, and the predictive efficacy of T2WI histogram on spinal meningioma texture was analyzed.

Results

The maximum, minimum, standard deviation, bias, and kurtosis value of T2WI histograms in 2 groups were not significantly different (P>0.05). The mean, median, and medium values of the T2WI histogram signals in the soft texture group were significantly larger than those in the hard texture group, and the difference was statistically significant (P<0.05). The area under the ROC curve for the mean, median, and crowd of the tumor soft texture group was 0.801, 0.804, and 0.792, respectively. The cut-off value of the mean was 272.290, the discrimination sensitivity was 91.67% and the specificity was 60.70%. The median cut-off value was 373.680, the discrimination sensitivity was 66.70% and the specificity was 85.70%. The crowd cut-off value was 295.350, the discrimination sensitivity was 83.30% and the specificity was 67.90%.

Conclusion

The mean, median, and medium number of the T2WI histogram signals can be used to predict the texture of the spinal meningioma of the tumor, among which the median is better.

图1 脊膜瘤感兴趣区域选择及T2WI信号值的直方图A~B:胸椎脊膜瘤患者;A:术前T2WI矢状位可见瘤体呈等信号,向前压迫脊髓,术中证实瘤体质地较软,术后病理回报示过渡型脊膜瘤;B:术前T2WI信号值的直方图,信号值大体呈正态分布,位于300~450范围;C~D:腰椎脊膜瘤患者;C:术前T2WI矢状位可见瘤体呈等信号,脊神经根受压,术中证实瘤体质地较硬的,术后病理回报示内皮型脊膜瘤;D:术前T2WI信号值的直方图,信号值大体呈正态分布,位于207~350范围
表1 2组不同脊膜瘤质地患者的一般资料比较
表2 2组不同脊膜瘤质地的T2WI直方图相关参数比较[M(P25,P75)]
图2 T2WI直方图信号值鉴别脊膜瘤质地的ROC曲线图A:均数;B:中位数;C:众数;AUC:曲线下面积;ROC:受试者工作特征曲线
表3 直方图参数的ROC曲线分析
[1]
Hua L, Zhu H, Deng J, et al. Clinical and prognostic features of spinal meningioma: a thorough analysis from a single neurosurgical center[J]. J Neurooncol, 2018, 140(3): 639-647.
[2]
Kobayashi K, Ando K, Matsumoto T, et al. Clinical features and prognostic factors in spinal meningioma surgery from a multicenter study[J]. Sci Rep-UK, 2021, 11(1): 11630.
[3]
沈林,范益民,刘晓东. 椎管内肿瘤与脊柱稳定性[J]. 中华神经创伤外科电子杂志, 2017, 3(6): 369-372.
[4]
徐杰,余博飞,郑武, 等. 经皮穿刺斜置显微通道下keyhole手术切除胸椎管内脊膜瘤[J]. 中华医学杂志, 2019, 99(13): 983-987.
[5]
林国中,吴超,司雨, 等. 胸椎管肿瘤手术入路新选择:微通道锁孔入路[J]. 中国微创外科杂志, 2020, 20(9): 784-788.
[6]
Meyer HJ, Höhn AK, Hamerla G, et al. Histogram parameters derived from T2 weighted images are associated with histopathological findings in rectal cancer-a preliminary study[J]. Am J Transl Res, 2018, 10(11): 3790-3796.
[7]
Hu H, Chen HH, Chen W, et al. T2 mapping histogram at extraocular muscles for predicting the response to glucocorticoid therapy in patients with thyroid-associated ophthalmopathy[J]. Clin Radiol, 2021, 76(2): 159.e151-159.e158.
[8]
王硕. 发展神经脊柱外科的必然性和紧迫性[J]. 中华神经创伤外科电子杂志, 2020, 6(2): 65-67.
[9]
Zada G, Yashar P, Robison A, et al. A proposed grading system for standardizing tumor consistency of intracranial meningiomas[J]. Neurosurg Focus, 2013, 35(6): E1.
[10]
Kobayashi K, Ando K, Nakashima H, et al. Characteristics of cases with and without calcification in spinal meningiomas[J]. J Clin Neurosci, 2021, 89: 20-25.
[11]
Aoyama T, Ogiwara T, Ito K, et al. Correlations among consistency, computed tomography values, and histopathological subtypes of spinal meningioma[J]. Acta Med Okayama, 2021, 75(6): 713-718.
[12]
Kolakshyapati M, Hashizume A, Ochi K, et al. Usefulness of histogram-profile analysis in ring-enhancing intracranial lesions[J]. World Neurosurg, 2019, 131: e226-e236.
[13]
Masuno R, Yunaiyama D, Shishido-Hara Y, et al. Magnetic resonance imaging of orbital solitary fibrous tumors: radiological-pathological correlation analysis[J]. J Belg Soc Radiol, 2021, 105(1): 14.
[14]
Li X, Jiang N, Zhang C, et al. Value of conventional magnetic resonance imaging consistency analysis in the differential diagnosis of benign and borderline/malignant phyllodes tumors of the breast[J]. Cancer Imaging, 2021, 21(1): 29.
[15]
陈志军,孙紫情,尹进学, 等. T2WI直方图在鉴别诊断鼻咽部淋巴瘤与鼻咽癌的价值[J]. 临床放射学杂志, 2021, 40(6): 1083-1086.
[16]
张国琴,陈鑫,张思静, 等. T2WI直方图鉴别诊断脑胶质母细胞瘤与单发转移瘤的价值[J]. 中国医学影像技术, 2017, 33(12): 1779-1783.
[17]
Yeo Y, Park C, Lee JW, et al. Magnetic resonance imaging spectrum of spinal meningioma[J]. Clin Imaging, 2019, 55: 100-106.
[18]
赵兰锋,王正阁. 增强MRI肿瘤-皮下脂肪信号强度比值鉴别椎管内神经鞘瘤与脊膜瘤[J]. 中国医学影像技术, 2022, 38(1): 49-52.
[19]
Lima TA, Fonseca D, Luan D, et al. Association of T2 signal intensity of magnetic resonance imaging (MRI) of intracranial meningiomas with their consistency - a review[J]. J Meml Med, 2020, 2(2): 1-7.
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