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接受多模态治疗方案的新诊断胶质母细胞瘤患者1H磁共振波谱成像(MRSI)参数早期变化与生存的相关性

Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.

作者信息

Nelson Sarah J, Kadambi Achuta K, Park Ilwoo, Li Yan, Crane Jason, Olson Marram, Molinaro Annette, Roy Ritu, Butowski Nicholas, Cha Soonmee, Chang Susan

机构信息

Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California.

Surbeck Laboratory of Advanced Imaging, University of California, San Francisco, California.

出版信息

Neuro Oncol. 2017 Mar 1;19(3):430-439. doi: 10.1093/neuonc/now159.

Abstract

BACKGROUND

The heterogeneous biology of glioblastoma (GBM) emphasizes the need for imaging methods to assess tumor burden and assist in evaluating individual patients. The purpose of this study was to investigate early changes in metrics from 3D 1H magnetic resonance spectroscopic imaging (MRSI) data, compare them with anatomic lesion volumes, and determine whether they were associated with survival for patients with newly diagnosed GBM receiving a multimodality treatment regimen.

METHODS

Serial MRI and MRSI scans provided estimates of anatomic lesion volumes and levels of choline, creatine, N-acetylaspartate, lactate, and lipid. The association of metrics derived from these data with survival was assessed using Cox proportional hazards models with adjustments for age, Karnofsky performance score, and extent of resection. Temporal changes in parameters were evaluated using a Wilcoxon signed rank test.

RESULTS

Anatomic lesion volumes at the post-radiotherapy (RT) scan, metabolic lesion volume at mid-RT and post-RT scans, as well as metrics describing levels of choline, lactate, and lipid were associated with overall survival. There was a significant reduction in the enhancing lesion volume, increase in T2 lesion volume from mid-RT to post-RT, and decrease in parameters describing metabolite levels during these early time points.

CONCLUSION

The MRSI data provided metrics that described the effects of treatment on the metabolic lesion burden and were associated with overall survival. This suggests that adding these parameters to standard assessments of changes in anatomic lesion volumes could contribute to making early decisions about the efficacy of such combination therapies.

摘要

背景

胶质母细胞瘤(GBM)的生物学特性具有异质性,这凸显了采用成像方法评估肿瘤负荷并辅助评估个体患者的必要性。本研究的目的是调查三维氢磁共振波谱成像(MRSI)数据指标的早期变化,将其与解剖学病变体积进行比较,并确定它们是否与接受多模态治疗方案的新诊断GBM患者的生存率相关。

方法

连续的MRI和MRSI扫描提供了解剖学病变体积以及胆碱、肌酸、N-乙酰天门冬氨酸、乳酸和脂质水平的估计值。使用Cox比例风险模型评估从这些数据得出的指标与生存率的关联,并对年龄、卡诺夫斯基功能状态评分和切除范围进行调整。使用Wilcoxon符号秩检验评估参数的时间变化。

结果

放疗后(RT)扫描时的解剖学病变体积、RT中期和RT后扫描时的代谢病变体积,以及描述胆碱、乳酸和脂质水平的指标与总生存率相关。在这些早期时间点,强化病变体积显著减小,从RT中期到RT后T2病变体积增加,描述代谢物水平的参数降低。

结论

MRSI数据提供了描述治疗对代谢病变负荷影响的指标,并且与总生存率相关。这表明将这些参数添加到解剖学病变体积变化的标准评估中,可能有助于对这种联合治疗的疗效做出早期决策。

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本文引用的文献

1
2
Impact of perfusion map analysis on early survival prediction accuracy in glioma patients.
Transl Oncol. 2013 Dec 1;6(6):766-74. doi: 10.1593/tlo.13670.
3
SIVIC: Open-Source, Standards-Based Software for DICOM MR Spectroscopy Workflows.
Int J Biomed Imaging. 2013;2013:169526. doi: 10.1155/2013/169526. Epub 2013 Jul 18.
4
5
The relationship between Cho/NAA and glioma metabolism: implementation for margin delineation of cerebral gliomas.
Acta Neurochir (Wien). 2012 Aug;154(8):1361-70; discussion 1370. doi: 10.1007/s00701-012-1418-x. Epub 2012 Jun 23.
6
Automated prescription of oblique brain 3D magnetic resonance spectroscopic imaging.
Magn Reson Med. 2013 Apr;69(4):920-30. doi: 10.1002/mrm.24339. Epub 2012 Jun 12.
9
Serial analysis of imaging parameters in patients with newly diagnosed glioblastoma multiforme.
Neuro Oncol. 2011 May;13(5):546-57. doi: 10.1093/neuonc/noq194. Epub 2011 Feb 4.

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