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计算机辅助容积分析作为偶然脑膜瘤管理的敏感工具。

Computer-aided volumetric analysis as a sensitive tool for the management of incidental meningiomas.

机构信息

Department of Neurosurgery, Henry Ford Health System, Detroit, MI 48202, USA.

出版信息

Acta Neurochir (Wien). 2012 Apr;154(4):589-97; discussion 597. doi: 10.1007/s00701-012-1273-9.

DOI:10.1007/s00701-012-1273-9
PMID:22302235
Abstract

INTRODUCTION

Meningiomas are typically slow-growing lesions that, depending on the location, can be relatively benign. Knowing their exact rate of growth can be helpful in determining whether surgery is necessary.

METHODS

In this study we retrospectively reviewed the meningioma practices of the two senior authors (JR, MR). Our goal was to measure meningioma growth using a variety of methods (linear using diameters, and volumetric using the computer-aided perimeter and cross-sectional diameter methods) to compare rates of growth among the methods. Of 295 meningioma patients seen over an 8-year period, we identified a cohort of 31 patients with at least 30 months of follow-up. Volumes were calculated using medical imaging software with T1 post-contrast magnetic resonance imaging. Doubling times and growth rates were calculated.

RESULTS

Of the 31 patients, 26 (84%) were shown to have growing meningiomas. The perimeter methodology measured higher growth rates than the diameter method for both doubling times as well as percentage annual growth (p<0.01). The mean doubling time was 13.4 years (range, 2.1–72.8 years) and 17.9 years (range, 4–92.3 years) comparing perimeter and diameter methods, respectively. The mean percentage of annual growth was 15.2% (range, 1.8–61.7%) and 5.6% (range, 0.7–12.2%), comparing perimeter and diameter methods, respectively. Linear growth was calculated at 0.7 mm/year.

CONCLUSION

Overall, we found that computer-aided perimeter methods showed a more accurate picture of tumor progression than traditional methods, which generally underestimated growth.

摘要

简介

脑膜瘤通常生长缓慢,根据位置的不同,可能相对良性。了解其确切的生长速度有助于确定是否需要手术。

方法

在这项研究中,我们回顾了两位资深作者(JR、MR)的脑膜瘤实践。我们的目标是使用多种方法(通过直径进行线性测量,以及通过计算机辅助周长和横截面积直径方法进行体积测量)来测量脑膜瘤的生长,以比较各种方法的生长率。在 8 年的时间里,我们观察了 295 例脑膜瘤患者,从中确定了一个至少有 30 个月随访的 31 例患者队列。使用 T1 对比磁共振成像的医学成像软件计算体积。计算倍增时间和增长率。

结果

在 31 例患者中,26 例(84%)显示有生长的脑膜瘤。周长方法测量的倍增时间和年增长率均高于直径方法(p<0.01)。周长和直径方法的平均倍增时间分别为 13.4 年(范围为 2.1-72.8 年)和 17.9 年(范围为 4-92.3 年)。周长和直径方法的平均年增长率分别为 15.2%(范围为 1.8-61.7%)和 5.6%(范围为 0.7-12.2%)。线性生长速度计算为 0.7 毫米/年。

结论

总的来说,我们发现计算机辅助周长方法比传统方法更能准确地反映肿瘤的进展,而传统方法通常低估了肿瘤的生长速度。

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