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• Clinical Article •
The application of mono-exponential model, bi-exponential model and stretched-exponential model DWI for preoperative grading of gliomas
HAO Fengling  WU Hui  NIU Guangming 

Cite this article as: Hao FL, Wu H, Niu GM. The application of mono-exponential model, bi-exponential model and stretched-exponential model DWI for preoperative grading of gliomas. Chin J Magn Reson Imaging, 2019, 10(6): 401-405. DOI:10.12015/issn.1674-8034.2019.06.001.


[Abstract] Objective: To explore the diagnostic performance of mono-exponential model, bi-exponential model and stretched-exponential model DWI for preoperative grading of gliomas, and evaluate the correlation between perfusion parameters and cerebral blood flow (CBF).Materials and Methods: Thirty-four patients with pathological confirmed glioma including 17 low-grade glioma patients and 17 high-grade glioma patients. Before operation, the subjects underwent coventionional MRI, three demensional arterial spin labeling (3D ASL) and multi-b value DWI; by using the mono-exponential model of FUNCTION TOOL software the apparent diffusion coefficient (ADC) was calculated; using bi-exponential model the fast ADC (D*), fraction of perfusion (f) and slow ADC (D) were calculated, using the stretched-exponential model the distribute diffusion coefficient (DDC) and alpha (α) were calculated, the CBF was obtained by 3D ASL software. The values obtained by FUNCTION TOOL software were analyzed by SAS9.4 statistical software.Results: The mean ADC, D, f, DDC, and ɑ values in high-grade glioma were lower than low-grade glioma, and the D* value was higher in high-grade glioma, P<0.05; there was positive correlation between D* and CBF of all the subjects (r=0.51, P<0.05); the receiver operating charactsteristic curve (ROC) analysis showed that the area under curve (AUC) of α , D, DDC and ADC values were 0.969, 0.965, 0.961, 0.957 respectively, and the diagnostic thresholds of ɑ, D, DDC, and ADC were 0.88×10-3 mm2/s, 0.86×10-3 mm2/s, 1.10×10-3 mm2/s, and 1.11×10-3 mm2/s, respectively.Conclusions: Mono-exponential model,bi-exponential model and stretched-exponential model DWI can provide more diagnostic information of glioma before surgery, and ɑ, D, DDC, ADC values are of high value in identifying high- and low-grade gliomas. The perfusion parameter D* was positively correlated with CBF.
[Keywords] mono-exponential model；bi-exponential model；stretched-exponential model；glioma；magnetic resonance imaging

HAO Fengling Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Huhhot 010000, China

WU Hui Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Huhhot 010000, China

NIU Guangming* Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Huhhot 010000, China

*Correspondence to: Niu GM, E-mail: cjr.niuguangming@vip.163.com

Conflicts of interest   None.

Received  2018-12-10
Accepted  2019-02-18
DOI: 10.12015/issn.1674-8034.2019.06.001
Cite this article as: Hao FL, Wu H, Niu GM. The application of mono-exponential model, bi-exponential model and stretched-exponential model DWI for preoperative grading of gliomas. Chin J Magn Reson Imaging, 2019, 10(6): 401-405. DOI:10.12015/issn.1674-8034.2019.06.001.

[1]
Bihan DL, Breton E, Lallemand D, et al. MR imaging of incoherent motion: application to diffusion and perfusion in neurologic disorders. Radiology, 1986, 161(2): 401.
[2]
Bennett KM, Schmainda KM, Bennett RT, et al. Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model. Magn Reson Med, 2003, 50(4): 727-734.
[3]
Togao O, Hiwatashi A, Yamashita K, et al. Differentiation of high-grade and low-grade diffuse gliomas by intravoxel incoherent motion MR imaging. Neuro Oncol, 2016, 18(1): 132-141.
[4]
Iima M, Le BD. Clinical intravoxel incoherent motion and diffusion MR imaging: past, present and future. Radiology, 2016, 278(1): 13-32.
[5]
Bai Y, Lin Y, Tian J, et al. Grading of gliomas by using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging and diffusion kurtosis MR imaging. Radiology, 2016, 278(2): 496-504.
[6]
刘志成，胡玉川，颜林枫, 等. 拉伸指数与单指数模型DWI术前预测脑胶质瘤病理分级的对照. 放射学实践, 2016, 31(6): 478-481.
[7]
Kwee TC, Cjtsien G. Comparison of apparent diffusion coefficients and distributed diffusion coefficients in high-grade gliomas. J Magn Reson Imaging, 2010, 31(3): 53.
[8]
江晶晶. 脑肿瘤的分子生物学行为与功能磁共振成像的相关性研究.武汉: 华中科技大学, 2014.
[9]
Liu ZC, Yan LF, Hu YC, et al. Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy:study protocol of a prospective diagnostic trial. BMC Med Imaging, 2017, 17(1): 10.
[10]
Federau C, O'Brien K, Meuli R, et al. Measuring brain perfusion with intravoxel incoherent motion (IVIM):Initial clinical experience. J Magn Reson Imaging, 2014, 39(3): 624-632.
[11]
Bisdas S, Koh TS, Roder C, et al. Intravoxel incoherent motion diffusion-weighted MR imaging of gliomas:feasibility of the method and initial results. Neuroradiology, 2013, 55(10): 1189-1196.
[12]
林园凯，李建瑞，张志强, 等. 体素不相干运动与三维动脉自旋标记在胶质瘤中的对照研究. 临床放射学杂志, 2015, 34(1): 8-13.
[13]
Lemke A, Laun FB, Simon D, et al. An in vivo verification of the intravoxel incoherent motion effect in diffusion-weighted imaging of the abdomen. Magn Reson Med, 2010, 64(6): 1580-1585.
[14]
黄珊，曾梦华，唐小平, 等. IVIM-DWI在胶质瘤术前分级中的应用及与常规DWI和ASL成像的对照分析. 放射学实践, 2017, 32(8): 816-820.
[15]
曲源，蒋杰，权光南, 等. 动脉自旋标记及体素内不相干运动成像在胶质瘤分级中的应用. 磁共振成像, 2017, 8(4): 243-247.

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