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使用动态对比增强磁共振成像鉴别血管母细胞瘤与脑转移瘤

Differentiation of Hemangioblastoma from Metastatic Brain Tumor using Dynamic Contrast-enhanced MR Imaging.

作者信息

Cha J, Kim S T, Nam D-H, Kong D-S, Kim H-J, Kim Y K, Kim H Y, Park G M, Jeon P, Kim K H, Byun H S

机构信息

Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-gu, 135-710, Seoul, Republic of Korea.

Cardiovascular and Stroke Imaging Center, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

出版信息

Clin Neuroradiol. 2017 Sep;27(3):329-334. doi: 10.1007/s00062-016-0508-1. Epub 2016 Mar 7.

DOI:10.1007/s00062-016-0508-1
PMID:26952018
Abstract

PURPOSE

The aim of this study was to differentiate hemangioblastomas from metastatic brain tumors using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and compare the diagnostic performances with diffusion-weighted imaging (DWI) and dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI).

METHODS

We retrospectively reviewed 7 patients with hemangioblastoma and 15 patients with metastatic adenocarcinoma with magnetic resonance imaging (MRI) including DWI, DSC-MRI, and DCE-MRI. Apparent diffusion coefficient (ADC), relative cerebral blood volume (rCBV), and DCE-MRI parameters (K , k , v , and v ) were compared between the two groups. The diagnostic performance of each parameter was evaluated with receiver operating characteristic (ROC) curve analysis.

RESULTS

v , k , and rCBV were significantly different between patients with hemangioblastoma and those with metastatic brain tumor (p < 0.001, p = 0.005, and p = 0.017, respectively). A v cutoff value of 0.012 and a rCBV cutoff value of 8.0 showed the highest accuracy for differentiating hemangioblastoma from metastasis. The area under the ROC curve for v and rCBV was 0.99 and 0.89, respectively. A v  > 0.012 showed 100 % sensitivity, 93.3 % specificity, and 95.5 % accuracy and a rCBV > 8.0 showed 85.7 % sensitivity, 93.3 % specificity, and 90.9 % accuracy for differentiating hemangioblastoma from metastatic brain tumor.

CONCLUSION

DCE-MRI was useful for differentiating hemangioblastoma from metastatic brain tumor.

摘要

目的

本研究旨在利用动态对比增强磁共振成像(DCE-MRI)鉴别血管母细胞瘤与脑转移瘤,并将其诊断性能与扩散加权成像(DWI)和动态磁敏感对比磁共振成像(DSC-MRI)进行比较。

方法

我们回顾性分析了7例血管母细胞瘤患者和15例转移性腺癌患者的磁共振成像(MRI)资料,包括DWI、DSC-MRI和DCE-MRI。比较了两组之间的表观扩散系数(ADC)、相对脑血容量(rCBV)以及DCE-MRI参数(Ktrans、kep、ve和vp)。采用受试者操作特征(ROC)曲线分析评估各参数的诊断性能。

结果

血管母细胞瘤患者与脑转移瘤患者之间的ve、kep和rCBV存在显著差异(分别为p < 0.001、p = 0.005和p = 0.017)。ve截断值为0.012和rCBV截断值为8.0时,鉴别血管母细胞瘤与转移瘤的准确性最高。ve和rCBV的ROC曲线下面积分别为0.99和0.89。ve > 0.012时,鉴别血管母细胞瘤与脑转移瘤的敏感性为100%、特异性为93.3%、准确性为95.5%;rCBV > 8.0时,敏感性为85.7%、特异性为93.3%、准确性为90.9%。

结论

DCE-MRI有助于鉴别血管母细胞瘤与脑转移瘤。

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J Neurosurg Pediatr. 2015 Jul;16(1):50-3. doi: 10.3171/2014.12.PEDS14609. Epub 2015 Apr 17.
2
Diffusion MRI: what water tells us about the brain.扩散磁共振成像:水如何向我们揭示大脑的奥秘。
EMBO Mol Med. 2014 May;6(5):569-73. doi: 10.1002/emmm.201404055.
3
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Acta Radiol Open. 2022 Mar 3;11(2):20584601221077074. doi: 10.1177/20584601221077074. eCollection 2022 Feb.
4
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Insights Imaging. 2021 Oct 21;12(1):152. doi: 10.1186/s13244-021-01102-6.
5
Transformational Role of Medical Imaging in (Radiation) Oncology.医学成像在(放射)肿瘤学中的变革性作用。
Cancers (Basel). 2021 May 23;13(11):2557. doi: 10.3390/cancers13112557.
6
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4
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5
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6
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7
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AJNR Am J Neuroradiol. 2012 Sep;33(8):1539-45. doi: 10.3174/ajnr.A3012. Epub 2012 Mar 22.
8
Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies.动态对比增强 MRI 在抗血管治疗临床试验中的应用。
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9
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AJNR Am J Neuroradiol. 2012 Jun;33(6):1081-7. doi: 10.3174/ajnr.A2934. Epub 2012 Feb 9.
10
The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas.表观弥散系数在弥漫性胶质瘤术前分级中的附加价值。
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