|Table of Contents|

The value of SWI,3D-ASL and IVIM in the classification of glioma

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2023 04
Page:
741-747
Research Field:
Publishing date:

Info

Title:
The value of SWI,3D-ASL and IVIM in the classification of glioma
Author(s):
DU Changyue1QI Xuhong2WEN Zhiyong2WANG Rengui1
1.Department of Radiology,Beijing Shijitan Hospital,Capital Medical University,Beijing 100038,China;2.Department of Radiology,Electric Power Teaching Hospital,Capital Medical University,Beijing 100073,China.
Keywords:
glioma gradingthree-dimensional arterial spin labeling imagingsusceptibility weighted imagingintravoxel incoherent motion
PACS:
R739.4
DOI:
10.3969/j.issn.1672-4992.2023.04.028
Abstract:
Objective:To evaluate the value of susceptibility weighted imaging(SWI),three-dimensional arterial spin labeling(3D-ASL)and intravoxel incoherent motion(IVIM)in identification of gliomas.Methods:92 patients with glioma(35 grade II,13 grade III and 44 grade IV)were enrolled in this study.All patients underwent SWI,3D-ASL and IVIM before operation,then measured intratumoral susceptibility signal intensity(ITSS)scores,the maximum tumor blood flow(TBFmax),the fast apparent diffusion coefficient(fast ADC),slow apparent diffusion coefficient(slow ADC)and perfusion fraction(f).TBFmax was also normalized to the corresponding values in contralateral normal white matter(r1),grey matter(r2),and mirror regions(r3).These parameters were compared to seek differences between grade II vs grade III,grade III vs grade IV,and grade II vs grade IV tumors.Receiver operating characteristic(ROC)curve analysis was used to evaluate the performance of these parameters.Results:ITSS scores were statistically different between grade II vs grade III,grade III vs grade IV,and grade II vs grade IV tumors,and higher grades of gliomas showed higher ITSS scores(P<0.05).Fast ADC values,slow ADC values and f values were statistically different between grade II vs grade III and grade II vs grade IV tumors(P<0.05).But TBFmax,r1,r2 and r3 were statistically significant just between grade II vs grade IV(P<0.05).Slow ADC provided the highest AUC for the discrimination of grade II vs III(0.94).ITSS scores provided the highest AUC for the discrimination of grade II vs IV(0.96).The area under AUC of the ITSS scores between grade III vs IV was 0.72.Conclusion:The parameters of SWI,3D-ASL and IVIM can be used to differentiate gliomas.By combing three models,the diagnostic efficacy of grading gliomas was greatest than that of a single technique.

References:

[1] 邓小芹,胡心英,邓世强.术前预康复在脑胶质瘤手术病人中的应用[J].中国临床神经外科杂志,2020,25(3):152-154. DENG XQ,HU XY,DENG SQ.Application of preoperative prehabilitation to patients with gliomas treated by surgery[J].Chinese Journal of Clinical Neurosurgery,2020,25(3):152-154.
[2] ZHU L,WU J,ZHANG H,et al.The value of intravoxel incoherent motion imaging in predicting the survival of patients with astrocytoma[J].Acta radiologica,2021,62(3):423-429.
[3] PARK MJ,KIM HS,JAHNG GH,et al.Semi-quantitative assessment of intratumoral susceptibility signals using non-contrast-enhanced high-field high-resolution susceptibility-weighted imaging in patients with gliomas:Comparison with MR perfusion imaging[J].Am J Neuroradiol,2009,30(7):1402-1408.
[4] LE BD,BRETON E,LALLEMAND D,et al.MR imaging of intravoxel incoherent motions:Application to diffusion and perfusion in neurologic disorders[J].Radiology,1986,161(2):401-407.
[5] HORI M,MORI H,AOKI S,et al.Three-dimensional susceptibility-weighted imaging at 3T using various image analysis methods in the estimation of grading intracranial gliomas[J].Magn Reson Imaging,2010,28(4):594-598.
[6] SU CQ,LU SS,HAN QY.Intergrating conventional MRI,texture analysis of dynamic ontrast-enhanced MRI,and susceptibility weighted imaging for glioma grading[J].Acta Radiologica,2019,60(6):777-787.
[7] LI C,AI B,LI Y,et al.Susceptibility-weighted imaging in grading brain astrocytomas[J].Eur J Radiol,2010,75(1):e81-e85.
[8] SUGAHARA T,KOROGI Y,KOCHI M,et al.Perfusion-sensitive MR imaging of gliomas:comparison between gradient-echo and spin-echo echo-planar imaging techniques[J].Am J Neuroradiol,2001,22(7):1306-1315.
[9] WANG XC,ZHANG H,TAN Y,et al.Combined value of susceptibility-weighted and perfusion-weighted imaging in assessing WHO grade for brain astrocytomas[J].J Magn Reson Imaging,2014,39(6):1569-1574.
[10] LI XG,ZHU YS,KANG HY,et al.Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging[J].Cancer Imaging,2015,15(1):4.
[11] HSU CC,WATKINS TW,KWAN GN,et al.Susceptibility-weighted imaging of gliomas:update on current imaging status and future directions[J].J Neuroimaging,2016,26(4):383-390.
[12] ZHAN RT,HE H,WANG ML,et al.The diagnostic value of susceptibility weighted imaging for the semiquantitative assessment of pathological vascularity in grading cerebral glioma[J].J Pract Radiol,2014,30(12):958-1961.
[13] JITENDER SAINIL,PRADEEP KUMAR GUPTA,PRATIVA SAHOO,et al.Differentiation of grade II/III and grade IV glioma by combining "T1 contrast-enhanced brain perfusion imaging" and susceptibility-weighted quantitative imaging[J].Neuroradiology,2018,60(1):43-50.
[14] PANG HP,DANG HF,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].Journal of Magnetic Resonance Imaging:JMRI,2019,50(1):209-220.
[15] RAZEK AAKA,EL SEROUGY LG,ABDELSALAM MA,et al.Multi-parametric arterial spin labelling and diffusion-weighted magnetic resonance imaging in differentiation of grade II and grade III gliomas[J].Polish Journal of Radiology,2020,85:e110-e117.
[16] PETERSEN ET,ZIMINE I,HO YC,et al.Non-invasive measurement of perfusion:A critical review of arterial spin labelling techniques[J].Br J Radiol,2006,79(944):688-701.
[17] CHRISTIAN FEDERAU.Measuring PERFUSION:Intravoxel incoherent motion mr imaging[J].Magnetic Resonance Imaging Clinics of North America,2021,29(2):233-242.
[18] BAI Y,LIN Y S,TIAN J,et al.Grading of gliomas by using mono-exponential,bi-exponential,and stretched exponential diffusion-weighted MR imaging and diffusion kurtosis MR imaging[J].Radiology,2016,278(2):496-504.
[19] WANG X,CHEN XZ,SHI L,et al.Glioma grading and IDH1 mutational status:Assessment by intravoxel incoherent motion MRI[J].Clin Radiol,2019,74(8):651.e7-651.e14.
[20] HAO FL,WU H,NIU GM.Application of single index,double index and stretch index model DWI in preoperative classifcation of gliomas[J].Chin J Magn Reson Imaging,2019,10(6):401-405.
[21] TOGAO O,HIWATASHI A,YAMASHITA K,et al.Differentiation of high-grade and low-grade diffuse gliomas by intravoxel incoherent motion MR imaging[J].Neuro-oncology,2016,18(1):132-141.
[22] PATELLA F,SANSONE M,FRANCESCHELLI G,et a1.Quantification of heterogeneity to classify benign parotid tumors:A feasibility study on most frequent histotypes[J].Future Oncology,2020,16(12):763-778.
[23] SHEN N,ZHAO L,JIANG J,et al.Intravoxel incoherent motion diffusion weighted imaging analysis of diffusion and microperfusion in grading gliomas and comparison with arterial spin labeling for evaluation of tumor perfusion[J].Journal of Magnetic Resonance Imaging:JMRI,2016,44(3):620-632.
[24] DEIBLER AR,POLLOCK JM,KRAFT RA,et al.Arterial spin-labeling in routine clinical practice,part 1:Technique and artifacts[J].AJNR Am J Neuroradiol,2008,29(7):1228-1234.

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