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先进的扩散成像揭示了原发性中枢神经系统淋巴瘤的微观结构特征,有助于与胶质母细胞瘤相鉴别。

Advanced diffusion imaging reveals microstructural characteristics of primary CNS lymphoma, allowing differentiation from glioblastoma.

作者信息

Würtemberger Urs, Diebold Martin, Rau Alexander, Akgün Veysel, Becker Lucas, Beck Jürgen, Reinacher Peter C, Taschner Christian A, Reisert Marco, Fehrenbacher Luca, Erny Daniel, Scherer Florian, Hohenhaus Marc, Urbach Horst, Demerath Theo

机构信息

Department of Neuroradiology, Medical Center-University of Freiburg, University of Freiburg, Freiburg, Germany.

Institute of Neuropathology, Medical Center-University of Freiburg, University of Freiburg, Freiburg, Germany.

出版信息

Neurooncol Adv. 2024 Jun 8;6(1):vdae093. doi: 10.1093/noajnl/vdae093. eCollection 2024 Jan-Dec.

Abstract

BACKGROUND

Primary CNS lymphoma (PCNSL) and glioblastoma (GBM) both represent frequent intracranial malignancies with differing clinical management. However, distinguishing PCNSL from GBM with conventional MRI can be challenging when atypical imaging features are present. We employed advanced dMRI for noninvasive characterization of the microstructure of PCNSL and differentiation from GBM as the most frequent primary brain malignancy.

METHODS

Multiple dMRI metrics including Diffusion Tensor Imaging, Neurite Orientation Dispersion and Density Imaging, and Diffusion Microstructure Imaging were extracted from the contrast-enhancing tumor component in 10 PCNSL and 10 age-matched GBM on 3T MRI. Imaging findings were correlated with cell density and axonal markers obtained from histopathology.

RESULTS

We found significantly increased intra-axonal volume fractions (V-intra and intracellular volume fraction) and microFA in PCNSL compared to GBM (all  < .001). In contrast, mean diffusivity (MD), axial diffusivity (aD), and microADC (all  < .001), and also free water fractions (V-CSF and V-ISO) were significantly lower in PCNSL (all  < .01). Receiver-operating characteristic analysis revealed high predictive values regarding the presence of a PCNSL for MD, aD, microADC, V-intra, ICVF, microFA, V-CSF, and V-ISO (area under the curve [AUC] in all >0.840, highest for MD and ICVF with an AUC of 0.960). Comparative histopathology between PCNSL and GBM revealed a significantly increased cell density in PCNSL and the presence of axonal remnants in a higher proportion of samples.

CONCLUSIONS

Advanced diffusion imaging enables the characterization of the microstructure of PCNSL and reliably distinguishes PCNSL from GBM. Both imaging and histopathology revealed a relatively increased cell density and a preserved axonal microstructure in PCNSL.

摘要

背景

原发性中枢神经系统淋巴瘤(PCNSL)和胶质母细胞瘤(GBM)均为常见的颅内恶性肿瘤,临床管理方式不同。然而,当出现非典型影像学特征时,通过传统MRI区分PCNSL和GBM可能具有挑战性。我们采用先进的扩散加权磁共振成像(dMRI)对PCNSL的微观结构进行无创性特征分析,并将其与最常见的原发性脑恶性肿瘤GBM进行鉴别。

方法

从10例PCNSL和10例年龄匹配的GBM患者的3T MRI增强肿瘤成分中提取多种dMRI指标,包括扩散张量成像、神经突方向离散度和密度成像以及扩散微观结构成像。影像学表现与组织病理学获得的细胞密度和轴突标记物相关。

结果

我们发现,与GBM相比,PCNSL的轴突内体积分数(V-intra和细胞内体积分数)和微观分数各向异性(microFA)显著增加(均P<0.001)。相反,PCNSL的平均扩散率(MD)、轴向扩散率(aD)和微观表观扩散系数(microADC)(均P<0.001)以及游离水分数(V-CSF和V-ISO)均显著降低(均P<0.01)。受试者操作特征分析显示,MD、aD、microADC、V-intra、ICVF、microFA、V-CSF和V-ISO对PCNSL的存在具有较高的预测价值(曲线下面积[AUC]均>0.840,MD和ICVF最高,AUC为0.960)。PCNSL和GBM的比较组织病理学显示,PCNSL的细胞密度显著增加,且较高比例的样本中存在轴突残余物。

结论

先进的扩散成像能够对PCNSL的微观结构进行特征分析,并可靠地将PCNSL与GBM区分开来。影像学和组织病理学均显示PCNSL的细胞密度相对增加,轴突微观结构保存。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08f7/11214103/b3de6f22f737/vdae093_fig1.jpg

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