Share:
Share this content in WeChat
X
Clinical Article
Preliminary study of magnetic resonance dynamic contrast enhancement combined with diffusion weighted imaging to identify high grade glioma recurrence and treatment-related changes
REN Longfei  ZHANG Hui  WANG Xiaochun  TAN Yan  QIN Jiangbo 

Cite this article as: Ren LF, Zhang H, Wang XC, et al. Preliminary study of magnetic resonance dynamic contrast enhancement combined with diffusion weighted imaging to identify high grade glioma recurrence and treatment-related changes. Chin J Magn Reson Imaging, 2019, 10(9): 655-660. DOI:10.12015/issn.1674-8034.2019.09.004.


[Abstract] Objective: To investigate the value of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) and diffusion weighted imaging (DWI) in identifying recurrence and treatment-related changes of high grade glioma.Materials and Methods: Thirty-two patients with cerebral glioma resection and abnormal enhancement after radio-chemotherapy (22 patients had recurrence and 10 patients had treatment-related changes) were collected. All patients undergone routine magnetic resonance imaging, enhancement, DWI, DCE imaging within 2 months after the radio-chemotherapy. Ktrans, Kep, Ve, iAUC perfusion pseudo-color map and ADC map were obtained using post-processing work station, and their values of enhancement region were also calculated separately. The differences in parameters between recurrence and treatment-related changes were evaluated using Wilcoxon test, and the receiver operating characteristic (ROC) curve was plotted to calculate sensitivity and specificity with the area under the curve.Results: The higher Ktrans and iAUC values were observed in recurrence group (P<0.05). The area under Ktrans and iAUC curves were 0.973 and 0.941,the sensitivity and specificity were 95.5%, 95.5% and 90%, 80% respectively, using the threshold of 0.128 and 0.152. The recurrence group had the lower average ADC value than the treatment-related changes group (P<0.05), and the area under the average ADC curve was 0.864 (sensitivity and the specificity of 86.4% and 80%, respectively). The Ktrans value had the highest diagnostic efficacy, the sensitivity can improve to 100% on detecting recurrence when incorporating Ktrans and ADC values.Conclusions: DCE-MRI combined with DWI has important clinical value on the differential diagnosis between recurrence and treatment-related changes in high grade glioma.
[Keywords] glioma;recurrence;magnetic resonance imaging;diagnosis, differential

REN Longfei Department of Medical Imaging, Shanxi Medical University, Shanxi Province, Taiyuan 030000, China

ZHANG Hui* Department of Radiology, the First Hospital of Shanxi Medical University, Shanxi Province, Taiyuan 030000, China

WANG Xiaochun Department of Radiology, the First Hospital of Shanxi Medical University, Shanxi Province, Taiyuan 030000, China

TAN Yan Department of Radiology, the First Hospital of Shanxi Medical University, Shanxi Province, Taiyuan 030000, China

QIN Jiangbo Department of Radiology, the First Hospital of Shanxi Medical University, Shanxi Province, Taiyuan 030000, China

*Correspondence to: Zhang H, E-mail: zhanghui_mr@163.com

Conflicts of interest   None.

Received  2019-02-10
Accepted  2019-05-26
DOI: 10.12015/issn.1674-8034.2019.09.004
Cite this article as: Ren LF, Zhang H, Wang XC, et al. Preliminary study of magnetic resonance dynamic contrast enhancement combined with diffusion weighted imaging to identify high grade glioma recurrence and treatment-related changes. Chin J Magn Reson Imaging, 2019, 10(9): 655-660. DOI:10.12015/issn.1674-8034.2019.09.004.

[1]
Louis DN, Perry A, Reifenberger G, et al. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: A summary. Acta Neuropathol, 2016, 131(6): 803-820.
[2]
《中国中枢神经系统胶质瘤诊断和治疗指南》编写组.中国中枢神经系统胶质瘤诊断与治疗指南(2015).中华医学杂志, 2016(7): 485-509.
[3]
Junfeng Z, Heng L, Haipeng T, et al. Clinical applications of contrast-enhanced perfusion mri techniques in gliomas: recent advances and current challenges. Contrast Media Mol Imaging, 2017, 2017: 7064120.
[4]
Tofts PS. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. J Magn Reson Imaging, 1997, 7(1): 91-101.
[5]
王艾博,边杰. DCE-MRI原理及临床应用情况.中国临床医学影像杂志, 2016, 27(6): 435-438.
[6]
Padhani AR, Liu G, Mu-Koh D, et al. Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia, 2009, 11(2): 102-125.
[7]
Svolos P, Kousi E, Kapsalaki E, et al. The role of diffusion and perfusion weighted imaging in the differential diagnosis of cerebral tumors: a review and future perspectives. Cancer Imaging, 2014, 14(1): 20.
[8]
Parvez K, Parvez A, Zadeh G. The diagnosis and treatment of pseudoprogression, radiation necrosis and brain tumor recurrence. Int J Mol Sci, 2014, 15(7): 11832.
[9]
Thust SC, Van den Bent MJ, Smits M. Pseudoprogression of brain tumors. J Magn Reson Imaging, 2018, 48(3): 571-589.
[10]
Mahase S, Rattenni RN, Wesseling P, et al. Hypoxia-mediated mechanisms associated with antiangiogenic treatment resistance in glioblastomas. Am J Pathol, 2017, 187(5): 940-953.
[11]
Paulo L, Bruno C, Rita F, et al. Early Pseudoprogression following chemoradiotherapy in glioblastoma patients: the value of RANO evaluation. J Oncol, 2013, (2013): 1-9.
[12]
Yeo DM, Oh SN, Jung CK, et al. Correlation of dynamic contrast-enhanced MRI perfusion parameters with angiogenesis and biologic aggressiveness of rectal cancer: preliminary results. J Magn Reson Imaging, 2015, 41(2): 474-480.
[13]
Galante JR, Rodriguez F, Grossman SA, et al. Late post-treatment radiographic changes 3 years following chemoradiation for glioma: the importance of histopathology. CNS Oncol, 2017, 6(3): 195-201.
[14]
Sotirios B, Thomas N, Rainer R, et al. Distinguishing recurrent high-grade gliomas from radiation injury: a pilot study using dynamic contrast-enhanced MR imaging. Acad Radiol, 2011, 18(5): 575-583.
[15]
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, 5(1): 1-6.
[16]
Tan Y, Zhang H, Wang XC, et al. The value of multi ultra-high-\r,b\r, -value DWI in grading cerebral astrocytomas and its association with aquaporin-4. Br J Radiol, 2018, 91(1608): 20170696.
[17]
Schaefer PW, Ozsunar Y, He J, et al. Assessing tissue viability with mr diffusion and perfusion imaging. AJNR Am J Neuroradiol, 2003, 24(3): 436-443.
[18]
邢振,曾峥,佘德君,等. 3.0 T MR多模态功能成像在胶质瘤术后复发与放射性坏死鉴别诊断中的价值.临床放射学杂志, 2016, 35(9): 1309-1313.
[19]
Zeng QS, Li CF, Liu H, et al. Distinction between recurrent glioma and radiation injury using magnetic resonance spectroscopy in combination with diffusion-weighted imaging. Int J Radiat Oncol Biol Phys, 2007, 68(1): 151-158.
[20]
王斌,张辉,王效春,等.体素内不相干运动成像监测脑胶质瘤复发和治疗后反应的初步探讨.中西医结合心脑血管病杂志, 2017(17): 2202-2204.
[21]
葛光治,杨艺,张强,等.多模态磁共振技术在胶质瘤复发与放射性脑损伤鉴别诊断中的应用价值.解放军医学杂志, 2015, 40(11): 921-926.

PREV Investigating the changes of ALFF of hearing related cortex of infants with sensorineural hearing loss by using fMRI
NEXT fMRI study of inhibitory control network in heroin addicts with different genotypes of DRD2 TaqIA
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn