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通过色氨酸摄取和动力学分析对脑转移瘤和胶质母细胞瘤进行鉴别:一项结合磁共振成像比较的正电子发射断层扫描研究。

Differentiation of glioblastomas from metastatic brain tumors by tryptophan uptake and kinetic analysis: a positron emission tomographic study with magnetic resonance imaging comparison.

机构信息

PET Center and Translational Imaging Laboratory, Children’s Hospital of Michigan, Detroit, MI 48201, USA.

出版信息

Mol Imaging. 2013 Jul-Aug;12(5):327-37.

Abstract

Differentiating high-grade gliomas from solitary brain metastases is often difficult by conventional magnetic resonance imaging (MRI); molecular imaging may facilitate such discrimination. We tested the accuracy of α[11C]methyl-l-tryptophan (AMT)-positron emission tomography (PET) to differentiate newly diagnosed glioblastomas from brain metastases. AMT-PET was performed in 36 adults with suspected brain malignancy. Tumoral AMT accumulation was measured by standardized uptake values (SUVs). Tracer kinetic analysis was also performed to separate tumoral net tryptophan transport (by AMT volume of distribution [VD]) from unidirectional uptake rates using dynamic PET and blood input function. Differentiating the accuracy of these PET variables was evaluated and compared to conventional MRI. For glioblastoma/metastasis differentiation, tumoral AMT SUV showed the highest accuracy (74%) and the tumor/cortex VD ratio had the highest positive predictive value (82%). The combined accuracy of MRI (size of contrast-enhancing lesion) and AMT-PET reached up to 93%. For ring-enhancing lesions, tumor/cortex SUV ratios were higher in glioblastomas than in metastatic tumors and could differentiate these two tumor types with > 90% accuracy. These results demonstrate that evaluation of tryptophan accumulation by PET can enhance pretreatment differentiation of glioblastomas and metastatic brain tumors. This approach may be particularly useful in patients with a newly diagnosed solitary ring-enhancing mass.

摘要

通过常规磁共振成像(MRI)通常难以区分高级别胶质瘤和单发脑转移瘤;分子成像可能有助于进行这种区分。我们测试了 11C-α-甲基-L-色氨酸(AMT)正电子发射断层扫描(PET)区分新诊断的胶质母细胞瘤和脑转移瘤的准确性。对 36 名疑似脑恶性肿瘤的成年人进行了 AMT-PET 检查。通过标准化摄取值(SUV)测量肿瘤中 AMT 的摄取。还进行了示踪动力学分析,通过动态 PET 和血液输入函数将肿瘤净色氨酸转运(通过 AMT 分布容积 [VD])与单向摄取率分离。评估并比较了这些 PET 变量区分的准确性与常规 MRI。为了区分胶质母细胞瘤/转移瘤,肿瘤 AMT SUV 具有最高的准确性(74%),肿瘤/皮质 VD 比值具有最高的阳性预测值(82%)。MRI(增强病变的大小)和 AMT-PET 的联合准确性高达 93%。对于环形增强病变,胶质母细胞瘤中的肿瘤/皮质 SUV 比值高于转移性肿瘤,可以将这两种肿瘤类型以>90%的准确性区分开来。这些结果表明,通过 PET 评估色氨酸摄取可以增强胶质母细胞瘤和转移性脑肿瘤的术前区分。这种方法在新诊断的单发环形增强肿块患者中可能特别有用。

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本文引用的文献

1
The kynurenine pathway in brain tumor pathogenesis.
Cancer Res. 2012 Nov 15;72(22):5649-57. doi: 10.1158/0008-5472.CAN-12-0549. Epub 2012 Nov 9.
2
IDO expression in brain tumors increases the recruitment of regulatory T cells and negatively impacts survival.
Clin Cancer Res. 2012 Nov 15;18(22):6110-21. doi: 10.1158/1078-0432.CCR-12-2130. Epub 2012 Aug 29.
4
Accurate differentiation of recurrent gliomas from radiation injury by kinetic analysis of α-11C-methyl-L-tryptophan PET.
J Nucl Med. 2012 Jul;53(7):1058-64. doi: 10.2967/jnumed.111.097881. Epub 2012 May 31.
5
Tryptophan metabolism in breast cancers: molecular imaging and immunohistochemistry studies.
Nucl Med Biol. 2012 Oct;39(7):926-32. doi: 10.1016/j.nucmedbio.2012.01.010. Epub 2012 Mar 22.
7
3D Slicer as a tool for interactive brain tumor segmentation.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6982-4. doi: 10.1109/IEMBS.2011.6091765.
9
Increased tryptophan transport in epileptogenic dysembryoplastic neuroepithelial tumors.
J Neurooncol. 2012 Apr;107(2):365-72. doi: 10.1007/s11060-011-0750-y. Epub 2011 Nov 3.
10
Voxel-based analysis of dual-time-point 18F-FDG PET images for brain tumor identification and delineation.
J Nucl Med. 2011 Jun;52(6):865-72. doi: 10.2967/jnumed.110.085324. Epub 2011 May 13.

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