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单发脑转移瘤与多形性胶质母细胞瘤:基于感兴趣区的多参数分析用于鉴别诊断。

Single brain metastasis versus glioblastoma multiforme: a VOI-based multiparametric analysis for differential diagnosis.

机构信息

Department of Neuroradiology, NESMOS S.Andrea Hospital, University Sapienza, Via di Grottarossa, 00135, Rome, Italy.

Neuroradiology Unit, Imaging Department, Bambino Gesù Children's Hospital, Rome, Italy.

出版信息

Radiol Med. 2022 May;127(5):490-497. doi: 10.1007/s11547-022-01480-x. Epub 2022 Mar 22.

Abstract

PURPOSE

The authors' purpose was to create a valid multiparametric MRI model for the differential diagnosis between glioblastoma and solitary brain metastasis.

MATERIALS AND METHODS

Forty-one patients (twenty glioblastomas and twenty-one brain metastases) were retrospectively evaluated. MRIs were analyzed with Olea Sphere 3.0. Lesions' volumes of interest (VOIs) were drawn on enhanced 3D T1 MP-RAGE and projected on ADC and rCBV co-registered maps. Another two VOIs were drawn in the region of hyperintense cerebral edema, surrounding the lesion, respectively, within 5 mm around the enhancing tumor and into residual edema. Perfusion curves were obtained, and the value of signal recovery (SR) was reported. A two-sample T test was obtained to compare all parameters of GB and BM groups. Receiver operating characteristics (ROC) analysis was performed.

RESULTS

According to ROC analysis, the area under the curve was 88%, 78% and 74%, respectively, for mean ADC VOI values of the solid component, the mean and max rCBV values in the perilesional edema and the PSR. The cumulative ROC curve of these parameters reached an area under the curve of 95%. Using perilesional max rCBV > 1.37, PSR > 75% and mean lesional ADC < 1 × 10 mm s GB could be differentiated from solitary BM (sensitivity and specificity of 95% and 86%).

CONCLUSION

Lower values of ADC in the enhancing tumor, a higher percentage of SR in perfusion curves and higher values of rCBV in the peritumoral edema closed to the lesion are strongly indicative of GB than solitary BM.

摘要

目的

作者的目的是创建一个用于鉴别胶质母细胞瘤和单发脑转移瘤的有效的多参数 MRI 模型。

材料和方法

回顾性评估了 41 名患者(20 例胶质母细胞瘤和 21 例脑转移瘤)。使用 Olea Sphere 3.0 分析 MRI。在增强 3D T1 MP-RAGE 上勾画病变的感兴趣体积(VOI),并投影到 ADC 和 rCBV 配准图上。在病变周围的高信号脑水肿区域内,分别在增强肿瘤周围 5mm 内和残余水肿内再勾画两个 VOI。获得灌注曲线,并报告信号恢复(SR)值。采用两样本 T 检验比较 GB 和 BM 组的所有参数。进行接收者操作特征(ROC)分析。

结果

根据 ROC 分析,实体成分的平均 ADC VOI 值、瘤周水肿的平均和最大 rCBV 值以及 PSR 的曲线下面积分别为 88%、78%和 74%。这些参数的累积 ROC 曲线达到了 95%的曲线下面积。使用瘤周最大 rCBV>1.37、PSR>75%和病变 ADC <1×10mm/s 可以区分胶质母细胞瘤和单发脑转移瘤(敏感性和特异性分别为 95%和 86%)。

结论

增强肿瘤中 ADC 值较低、灌注曲线中 SR 百分比较高以及病变周围水肿中 rCBV 值较高强烈提示为胶质母细胞瘤,而非单发脑转移瘤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3dd/9098536/9a15d1072448/11547_2022_1480_Fig1_HTML.jpg

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