• Clinical Article •
The role of mean relative cerebral blood volume of MRI in differentiating recurrent glioma from radiation injury: a Meta-analysis
DOI:10.12015/issn.1674-8034.2016.03.002.
| [Abstract] Objective: This Meta-analysis is to evaluate the diagnostic accuracy of rCBVmean of MRI in distinguishing glioma recurrence from radiation injury.Material and Methods: PubMed, Embase and Chinese Biomedical database were systematically searched for studies (from January 2000 to August 2015) that evaluated the rCBVmean of MRI in differential diagnosis of glioma recurrence from radiation injury. Data were extracted from eligible studies and these studies were performed quality assessment. The Meta-analysis was performed by Stata13.0.Results: Fourteen studies involving 378 patients were eligible, and included in our Meta-analysis. The pooled SEN, SPE, PLR, NLR and DOR were 0.87 (95% CI: 0.80—0.91), 0.89 (95% CI: 0.81—0.94), 7.6 (95% CI: 4.3—13.4), 0.15 (95% CI: 0.10—0.23) and 50 (95% CI: 22—117), respectively. The area under the SROC was 0.93 (95% CI: 0.91—0.95).Conclusions: This Meta-analysis showed that the rCBVmean of MRI had good diagnostic accuracy in discriminating between glioma recurrence and radiation injury. |
| [Keywords] Glioma；Brain injuries；Radiotherapy side-effects；Magnetic resonance imaging |
HONG Shun-ming The graduate school of Tianjin Medical University, Tianjin, 300070, China
ZHANG Yu Department of MRI, the General Hospital of CAPF, Beijing,100039, China
LU Hao Department of MRI, Tianjin Huanhu Hospital, Tianjin, 300060, China
WANG Peng-fei The graduate school of Tianjin Medical University, Tianjin, 300070, China
LI Wen-han The graduate school of Tianjin Medical University, Tianjin, 300070, China
ZHANG Chun-zhi* Department of Radiation Oncology, Tianjin Huanhu Hospital, Tianjin 300060, China
*Correspondence to: Zhang CZ, E-mail: zhchzh_6@hotmail.com
Conflicts of interest None.
| ACKNOWLEDGMENTS Public relations project of Tianjin Municipal Public Health Bureau No. 12KG113 |
| Received 2015-12-14 |
| Accepted 2016-01-05 |
| DOI: 10.12015/issn.1674-8034.2016.03.002 |
| DOI:10.12015/issn.1674-8034.2016.03.002. |
[1]
马洁玲, 艾林. MRI在胶质母细胞瘤患者预后的应用进展. 磁共振成像, 2015, (5): 394-400.
[2]
Barajas RF Jr, Chang JS, Segal MR, et al. Differentiation of recurrent glioblastoma multiforme from radiation necrosis after external beam radiation therapy with dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. Radiology, 2009, 253(2): 486-496.
[3]
Bobek-Billewicz B, Stasik-Pres G, Majchrzak H, et al. Differentiation between brain tumor recurrence and radiation injury using perfusion, diffusion-weighted imaging and MR spectroscopy. Folia Neuropathol, 2010, 48(2): 81-92.
[4]
Cha J, Kim ST, Kim HJ, et al. Differentiation of tumor progression from pseudoprogression in patients with posttreatment glioblastoma using multiparametric histogram analysis. AJNR Am J Neuroradiol, 2014, 35(7): 1309-1317.
[5]
Di Costanzo A, Scarabino T, Trojsi F, et al. Recurrent glioblastoma multiforme versus radiation injury: a multiparametric 3-T MR approach. Radiol Med, 2014, 119(8): 616-624.
[6]
Hu LS, Baxter LC, Smith KA, et al. Relative cerebral blood volume values to differentiate high-grade glioma recurrence from posttreatment radiation effect: direct correlation between image-guided tissue histopathology and localized dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging measurements. AJNR Am J Neuroradiol, 2009, 30(3): 552-558.
[7]
Hu X, Wong KK, Young GS, et al. Support vector machine multiparametric MRI identification of pseudoprogression from tumor recurrence in patients with resected glioblastoma. J Magn Reson Imaging, 2011, 33(2): 296-305.
[8]
Kim YH, Oh SW, Lim YJ, et al. Differentiating radiation necrosis from tumor recurrence in high-grade gliomas: assessing the efficacy of 18F-FDG PET, 11C-methionine PET and perfusion MRI. Clin Neurol Neurosurg, 2010, 112(9): 758-765.
[9]
Martinez-Martinez A, Martinez-Bosch J. Perfusion magnetic resonance imaging for high grade astrocytomas: can cerebral blood volume, peak height, and percentage of signal intensity recovery distinguish between progression and pseudoprogression? Radiologia, 2014, 56(1): 35-43.
[10]
Ozsunar Y, Mullins ME, Kwong K, et al. Glioma recurrence versus radiation necrosis? A pilot comparison of arterial spin-labeled, dynamic susceptibility contrast enhanced MRI, and FDG-PET imaging. Acad Radiol, 2010, 17(3): 282-290.
[11]
Prat R, Galeano I, Lucas A, et al. Relative value of magnetic resonance spectroscopy, magnetic resonance perfusion, and 2-(18F) fluoro-2-deoxy-D-glucose positron emission tomography for detection of recurrence or grade increase in gliomas. J Clin Neurosci, 2010, 17(1): 50-53.
[12]
Seeger A, Braun C, Skardelly M, et al. Comparison of three different MR perfusion techniques and MR spectroscopy for multiparametric assessment in distinguishing recurrent high-grade gliomas from stable disease. Acad Radiol, 2013, 20(12): 1557-1565.
[13]
王玉林, 刘梦雨, 王岩, 等. 磁共振对比剂灌注成像在鉴别胶质瘤复发与放射性脑损伤中的应用．中国医学科学院学报, 2013, (04): 416-421.
[14]
Young RJ, Gupta A, Shah AD, et al. MRI perfusion in determining pseudoprogression in patients with glioblastoma. Clin Imaging, 2013, 37(1): 41-49.
[15]
余正贤, 朱斌, 张鑫, 等. rCBV在T2*-PWI鉴别脑胶质瘤复发与放射性坏死中的价值. 浙江临床医学, 2014, 16(10): 1534-1536.
[16]
白雪冬, 孙夕林, 王丹, 等. 动态对比增强MRI在鉴别胶质瘤复发及放射性脑损伤中的应用. 磁共振成像, 2014, (1): 1-6.
[17]
Law M, Young RJ, Babb JS, et al. Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. Radiology, 2008, 247(2): 490-498.
[18]
Jain R, Ellika SK, Scarpace L, et al. Quantitative estimation of permeability surface-area product in astroglial brain tumors using perfusion CT and correlation with histopathologic grade. AJNR Am J Neuroradiol, 2008, 29(4): 694-700.
[19]
Ellika SK, Jain R, Patel SC, et al. Role of perfusion CT in glioma grading and comparison with conventional MR imaging features. AJNR Am J Neuroradiol, 2007, 28(10): 1981-1987.
[20]
Jaeschke R, Guyatt G, Sackett DL. Users' guides to the medical literature. III. How to use an article about a diagnostic test. A. Are the results of the study valid? Evidence-based medicine working group. JAMA, 1994, 271(5): 389-391.
