To evaluate the diagnostic value of susceptibility weig
hted imaging (SWI) and intravoxel incoherent motion (IVIM) in grading of brain glioma.
Methods:
Including 104 patients with glioma (33 patients with low-grade glioma
71 patients with high-grade glioma)
SWI and IVIM were performed before operation. All cases were confirmed by postoperative histopathology. Recorded the intratumoral susceptibility signal intensity (ITSS)
fast apparent diffusion coefficient (fast ADC)
slow apparent diffusion coefficient (slow ADC)
f value and standard apparent diffusion coefficient (standard ADC). Analysed all parameters with statistical methods.
Results:
The fast ADC
slow ADC
standard ADC and f value of the high-grade glioma group were (31.212.1)10
-3
(0.460.22)10
-3
(0.920.22) 10
-3
mm
2
/s
and 0.480.13. The fast ADC
slow ADC
standard ADC
and f value of the low-grade glioma group were (14.06.9)10
-3
(0.880.24)10
-3
(1.080.25)10
-3
mm
2
/s
and 0.290.13. ITSS
fast ADC and f value of high-grade glioma group were higher than those of low-grade glioma group
the differences were statistically significant(
P
0.05). Slow ADC and standard ADC of high-grade glioma group were lower than those of low-grade glioma group
the differences were statistically significant(
P
0.05).
Conclusion:
By comparing and combining SWI and IVIM
the sensitivity and specificity of preoperative glioma grading were further improved.
The clinical value of quantitative parameters derived from ASL and IVIM for staging nasopharyngeal carcinoma
The value of DTI quantitative parameters in diagnosis the preoperative grading and correlation with the expression of VEGF and MMP-9 in tumor tissues of brain glioma
Diagnostic value of simplified MRI sequence in breast diseases
The value of diffusion kurtosis imaging combined with peripheral blood inflammatory markers in predicting the pathological grading of clear cell renal cell carcinoma
A flexible segmentation network for MRI: toward accurate tumor delineation and 3D reconstruction in brain glioma
Related Author
LI Xiaoqin
SHEN Hesong
ZHANG Jing
LIU Meiling
WANG Xing
YUAN Xiaoxi
ZHANG Jiuquan
CHEN Cheng
Related Institution
Department of Radiology, Jilin Provincial People's Hospital
Department of Medical Imaging, North China University of Science and Technology Affiliated Hospital
Department of Cardiothoracic Surgery, KaiLuan General Hospital
Department of Radiology, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute
Department of Computing Science and Artificial Intelligence, Liaoning Normal University