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增强后T1加权磁共振成像的直方图分析为肿瘤生物学提供了有价值的见解,并能够预测脑膜瘤的生长动力学和预后。

Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in Meningiomas.

作者信息

Gihr Georg Alexander, Horvath-Rizea Diana, Kohlhof-Meinecke Patricia, Ganslandt Oliver, Henkes Hans, Richter Cindy, Hoffmann Karl-Titus, Surov Alexey, Schob Stefan

机构信息

Katharinenhospital Stuttgart, Clinic for Neuroradiology, Stuttgart, Germany.

Katharinenhospital Stuttgart, Clinic for Neuroradiology, Stuttgart, Germany.

出版信息

Transl Oncol. 2018 Aug;11(4):957-961. doi: 10.1016/j.tranon.2018.05.009. Epub 2018 Jun 18.

Abstract

BACKGROUND

Meningiomas are the most frequently diagnosed intracranial masses, oftentimes requiring surgery. Especially procedure-related morbidity can be substantial, particularly in elderly patients. Hence, reliable imaging modalities enabling pretherapeutic prediction of tumor grade, growth kinetic, realistic prognosis, and-as a consequence-necessity of surgery are of great value. In this context, a promising diagnostic approach is advanced analysis of magnetic resonance imaging data. Therefore, our study investigated whether histogram profiling of routinely acquired postcontrast T1-weighted images is capable of separating low-grade from high-grade lesions and whether histogram parameters reflect Ki-67 expression in meningiomas.

MATERIAL AND METHODS

Pretreatment T1-weighted postcontrast volumes of 44 meningioma patients were used for signal intensity histogram profiling. WHO grade, tumor volume, and Ki-67 expression were evaluated. Comparative and correlative statistics investigating the association between histogram profile parameters and neuropathology were performed.

RESULTS

None of the investigated histogram parameters revealed significant differences between low-grade and high-grade meningiomas. However, significant correlations were identified between Ki-67 and the histogram parameters skewness and entropy as well as between entropy and tumor volume.

CONCLUSIONS

Contrary to previously reported findings, pretherapeutic postcontrast T1-weighted images can be used to predict growth kinetics in meningiomas if whole tumor histogram analysis is employed. However, no differences between distinct WHO grades were identifiable in out cohort. As a consequence, histogram analysis of postcontrast T1-weighted images is a promising approach to obtain quantitative in vivo biomarkers reflecting the proliferative potential in meningiomas.

摘要

背景

脑膜瘤是最常被诊断出的颅内肿块,常常需要进行手术。尤其是与手术相关的发病率可能很高,在老年患者中尤为明显。因此,可靠的成像方式能够在治疗前预测肿瘤分级、生长动力学、实际预后以及手术的必要性,具有重要价值。在这种情况下,一种有前景的诊断方法是对磁共振成像数据进行高级分析。因此,我们的研究调查了常规获取的增强后T1加权图像的直方图分析是否能够区分低级别和高级别病变,以及直方图参数是否反映脑膜瘤中的Ki-67表达。

材料与方法

对44例脑膜瘤患者的治疗前增强后T1加权图像体积进行信号强度直方图分析。评估世界卫生组织(WHO)分级、肿瘤体积和Ki-67表达。进行了比较性和相关性统计,以研究直方图分析参数与神经病理学之间的关联。

结果

在所研究的直方图参数中,低级别和高级别脑膜瘤之间均未显示出显著差异。然而,Ki-67与直方图参数偏度和熵之间以及熵与肿瘤体积之间存在显著相关性。

结论

与先前报道的结果相反,如果采用全肿瘤直方图分析,治疗前增强后T1加权图像可用于预测脑膜瘤的生长动力学。然而,在我们的队列中,不同WHO分级之间未发现差异。因此,增强后T1加权图像的直方图分析是一种有前景的方法,可用于获得反映脑膜瘤增殖潜力的定量体内生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95c9/6008484/4944cdb99741/gr1.jpg

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