Value of three-dimensional arterial spin labeling combined with DCE-MRI in the diagnosis of postoperative recurrence and radiation brain necrosis of glioma

doi:10.3877/cma.j.issn.2095-2015.2023.04.016

Abstract

Abstract:

Objective

To analyze the clinical value of three-dimensional arterial spin labeling(3D-ASL)combined with dynamic contrast enhanced magnetic resonance imaging(DCE-MRI)in the diagnosis of recurrence of glioma and radiation brain necrosis.

Methods

Retrospective study was conducted on the clinical data of 60 patients with glioma who received postoperative adjuvant radiotherapy in Zhuozhou City Hospital from January 2019 to December 2021.The new abnormal enhancement lesions were found by routine MRI examination, and they were divided into postoperative recurrence group of glioma(n=38)and radiation brain necrosis group(n=22)after confirmed by secondary surgical pathology.The patients in both groups received MRI, 3D-ASL and DCE-MRI to obtain the quantitative parameters of 3D-ASL and DCE-MRI.The parameters of the two groups were compared and the clinical value of 3D-ASL combined with DCE-MRI in the diagnosis of postoperative recurrence and radiation brain necrosis of glioma was analyzed.

Results

The rCBF and Ktrans values of glioma recurrence group were higher than those of radiation brain necrosis group(P<0.05). The accuracy of 3D-ASL combined with DCE-MRI was higher than that of single examination(P<0.05). The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of 3D-ASL combined with DCE-MRI were higher than those of single examination(P<0.05).

Conclusion

3D-ASL combined with DCE-MRI can be used clinically to distinguish the recurrence of brain glioma from radiation brain necrosis.The combined examination of the two has extremely high diagnostic value and can improve the diagnostic accuracy.

Key words: Glioma, Radiation brain necrosis, Three-dimensional arterial spin labeling, Dynamic contrast enhanced magnetic resonance imaging

Haitao Feng, Tao Xu, Wenyang Liu, Chen Sun, Shangchao Cao. Value of three-dimensional arterial spin labeling combined with DCE-MRI in the diagnosis of postoperative recurrence and radiation brain necrosis of glioma[J]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2023, 13(04): 262-265.

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URL: https://zhxhbyyxzz.cma-cmc.com.cn/EN/10.3877/cma.j.issn.2095-2015.2023.04.016

https://zhxhbyyxzz.cma-cmc.com.cn/EN/Y2023/V13/I04/262

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References 20

1	Chen L，Zeng D，Xu N，et al.Blood-brain barrier-and blood-brain tumor barrier-penetrating peptide-derived targeted therapeutics for glioma and malignant tumor brain metastases[J]．Acs Appl Mater Inter，2019，11(45)：41889-41897.
2	De B A，Ahn B Y，D′Mello C，et al.Glioma-derived IL-33 orchestrates an inflammatory brain tumor microenvironment that accelerates glioma progression[J]．Nat Commun，2020，11(1)：4997.
3	白雪菲，高阳，牛广明，等．mTI-ASL技术在鉴别脑胶质瘤术后复发与放射性损伤中的应用价值[J]．磁共振成像，2020，11(5)：332-335.
4	Wang S，Shen H，Mao Q，et al.Macrophage-mediated porous magnetic nanoparticles for multimodal imaging and postoperative photothermal therapy of gliomas[J]．Acs Appl Mater Inter，2021，13(48)：56825-56837.
5	Chawla S，Bukhari S，Afridi O M，et al.Metabolic and physiologic magnetic resonance imaging in distinguishing true progression from pseudoprogression in patients with glioblastoma[J]．Nm Biomed，2022，35(7)：4719.
6	中国脑胶质瘤协作组，中国脑胶质瘤基因组图谱计划．中国脑胶质瘤分子诊疗指南[J]．中华神经外科杂志，2014，30(5)：435-444.
7	Bacanin N，Bezdan T，Venkatachalam K，et al.Optimized convolutional neural network by firefly algorithm for magnetic resonance image classification of glioma brain tumor grade[J]．J Real Time Image Process，2021，18(4)：1085-1098.
8	Korfiatis P，Erickson B．Deep learning can see the unseeable：predicting molecular markers from MRI of brain gliomas[J]．Clin Radiol，2019，74(5)：367-373.
9	张毓，千超，肖三潮，等．超声造影技术和常规超声检查在脑胶质瘤手术切除中的应用比较[J]．检验医学与临床，2020，17(8)：1121-1124.
10	Mohamud J A，Gu J，Halane S A，et al.Role of MRI in Differentiation between Postoperative Tumoral Recurrence and Radiation-Induced Brain Necrosis in Patients of Glioblastoma Multiform[J]．Open J Radiol，2021，11(2)：45-53.
11	潘锋，吴晓，苏中周，等.3D-ASL技术联合DWI在鉴别脑胶质瘤术后复发与假性进展中的应用价值[J]．临床放射学杂志，2018，37(6)：904-908.
12	Lv YT，Ming XX，Lv SX，et al.Application of 3D-Arterial Spin Labeling Brain Perfusion Imaging in the Preoperative Diagnosis and Grading of Glioma[J]．Indian J Pharm Sci，2021，83(1)：83-88.
13	Pang H，Dang X，Ren Y，et al.3D-ASL perfusion correlates with VEGF expression and overall survival in glioma patients：Comparison of quantitative perfusion and pathology on accurate spatial location-matched basis[J]．J Magn Reson Imaging，2019，50(1)：209-220.
14	刘宵雪，张志强，李建瑞，等．动态对比增强磁共振在脑胶质瘤中的研究进展[J]．中华医学杂志，2017，97(3)：232-234.
15	王大堃，朱建忠，刘辉，等．DCE-MRI测量K~(trans)值、Ve值联合ADC值与脑胶质瘤患者MVD及病理分期的相关性[J]．中国临床医学影像杂志，2020，31(11)：766-769.
16	Zhang J，Wang Y，Wang Y，et al.Perfusion magnetic resonance imaging in the differentiation between glioma recurrence and pseudoprogression：A systematic review，meta-analysis and meta-regression[J]．Quant Imaging Med Surg，2022，12(10)：4805-4822.
17	Miyoshi F，Shinohara Y，Kambe A，et al.Utility of intravoxel incoherent motion magnetic resonance imaging and arterial spin labeling for recurrent glioma after bevacizumab treatment[J]．Acta Radiol，2018，59(11)：1372-1379.
18	Kang X，Xi Y，Liu T，et al.Grading of Glioma：combined diagnostic value of amide proton transfer weighted，arterial spin labeling and diffusion weighted magnetic resonance imaging[J]．Bmc Med Imaging，2020，20(1)：1-8.
19	石慧娴，韩雷，叶靖，等.3D-ASL与DSC-PWI在高级别脑胶质瘤术后复发和放射性脑坏死鉴别诊断中的应用[J]．肿瘤影像学，2020，29(3)：324-329.
20	Liu K，Shi J，Jin G．3D-ASL combined with 3.0 T MRI is helpful for preoperative grade and postoperative relapse prediction in glioma[J]．Int J Clin Exp Med，2020，13(11)：8676-8683.

检查方法	灵敏度	特异度	准确度	阳性预测值	阴性预测值
3D-ASL	68.42(26/38)	63.64(14/22)	66.67(40/60)	76.47(26/34)	53.85(14/26)
DCE-MRI	73.68(28/38)	72.73(16/22)	73.33(44/60)	82.35(28/34)	61.54(16/26)
3D-ASL+DCE-MRI	92.11(35/38)	95.45(21/22)	93.33(56/60)	97.22(35/36)	87.50(21/24)
χ²值	6.866	6.729	13.371	6.526	6.958
P值	0.032	0.035	0.000	0.038	0.031

检查方法	灵敏度	特异度	准确度	阳性预测值	阴性预测值
3D-ASL	68.42(26/38)	63.64(14/22)	66.67(40/60)	76.47(26/34)	53.85(14/26)
DCE-MRI	73.68(28/38)	72.73(16/22)	73.33(44/60)	82.35(28/34)	61.54(16/26)
3D-ASL+DCE-MRI	92.11(35/38)	95.45(21/22)	93.33(56/60)	97.22(35/36)	87.50(21/24)
χ²值	6.866	6.729	13.371	6.526	6.958
P值	0.032	0.035	0.000	0.038	0.031

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[11]	Lu Chen, Qilu Li, Shujun Li. Expression of Tenascin-C in glioma and its effect on temozolomide therapeutic value [J]. Chinese Journal of Brain Diseases and Rehabilitation(Electronic Edition), 2021, 11(03): 132-138.
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