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弥散加权和动态磁敏感对比灌注 MRI 鉴别毛细胞星形细胞瘤、髓母细胞瘤和血管母细胞瘤。

Differentiation of pilocytic astrocytoma, medulloblastoma, and hemangioblastoma on diffusion-weighted and dynamic susceptibility contrast perfusion MRI.

机构信息

Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA.

出版信息

Medicine (Baltimore). 2022 Nov 4;101(44):e31708. doi: 10.1097/MD.0000000000031708.

Abstract

This study aimed to evaluate the diagnostic performance of dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging and apparent diffusion coefficient (ADC) for differentiating common posterior fossa tumors, pilocytic astrocytoma (PA), medulloblastoma (MB), and hemangioblastoma (HB). Between January 2016 and April 2022, we enrolled 23 (median age, 7 years [range, 2-26]; 12 female), 13 (10 years [1-24]; 3 female), and 12 (43 years [23-73]; 7 female) patients with PA, MB, and HB, respectively. Normalized relative cerebral blood volume and flow (nrCBV and nrCBF) and normalized mean ADC (nADCmean) were calculated from volume-of-interest and statistically compared. nADCmean was significantly higher in PA than in MB (PA: median, 2.2 [range, 1.59-2.65] vs MB: 0.93 [0.70-1.37], P < .001). nrCBF was significantly higher in HB than in PA and MB (PA: 1.10 [0.54-2.26] vs MB: 1.62 [0.93-3.16] vs HB: 7.83 [2.75-20.1], all P < .001). nrCBV was significantly different between all 3 tumor types (PA: 0.89 [0.34-2.28] vs MB: 1.69 [0.93-4.23] vs HB: 8.48 [4.59-16.3], P = .008 for PA vs MB; P < .001 for PA vs HB and MB vs HB). All tumors were successfully differentiated using an algorithmic approach with a threshold value of 4.58 for nrCBV and subsequent threshold value of 1.38 for nADCmean. DSC parameters and nADCmean were significantly different between PA, MB, and HB. An algorithmic approach combining nrCBV and nADCmean may be useful for differentiating these tumor types.

摘要

本研究旨在评估动态对比磁共振灌注成像(DSC)和表观扩散系数(ADC)在鉴别常见后颅窝肿瘤、毛细胞星形细胞瘤(PA)、髓母细胞瘤(MB)和血管母细胞瘤(HB)中的诊断性能。在 2016 年 1 月至 2022 年 4 月期间,我们纳入了 23 例(中位年龄 7 岁[范围 2-26];12 例女性)、13 例(10 岁[1-24];3 例女性)和 12 例(43 岁[23-73];7 例女性)PA、MB 和 HB 患者。从感兴趣区计算归一化相对脑血容量和血流(nrCBV 和 nrCBF)和归一化平均 ADC(nADCmean),并进行统计学比较。PA 的 nADCmean 明显高于 MB(PA:中位数 2.2[范围 1.59-2.65] vs MB:0.93[0.70-1.37],P<0.001)。HB 的 nrCBF 明显高于 PA 和 MB(PA:1.10[0.54-2.26] vs MB:1.62[0.93-3.16] vs HB:7.83[2.75-20.1],均 P<0.001)。nrCBV 在所有 3 种肿瘤类型之间存在显著差异(PA:0.89[0.34-2.28] vs MB:1.69[0.93-4.23] vs HB:8.48[4.59-16.3],PA 与 MB 比较,P=0.008;PA 与 HB 比较,P<0.001;MB 与 HB 比较,P=0.008)。使用 nrCBV 的阈值为 4.58 和随后的 nADCmean 阈值为 1.38 的算法可以成功区分所有肿瘤。DSC 参数和 nADCmean 在 PA、MB 和 HB 之间存在显著差异。结合 nrCBV 和 nADCmean 的算法可能有助于鉴别这些肿瘤类型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d8f/9646672/0a3084ef93d0/medi-101-e31708-g001.jpg

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