|Table of Contents|

Application of intravoxel incoherent motion diffusion-weighted MR imaging in different brain tumor diagnosis and grading

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

Issue:
2018 04
Page:
603-608
Research Field:
Publishing date:

Info

Title:
Application of intravoxel incoherent motion diffusion-weighted MR imaging in different brain tumor diagnosis and grading
Author(s):
Zhang QianfangYang XingZhan Liping
Radiology Department,The Third People's Hospital of Zigong City,Sichuan Zigong 643020,China.
Keywords:
bi-exponential modeldiffusion weighted imagingbrain neoplasms
PACS:
R739.41
DOI:
10.3969/j.issn.1672-4992.2018.04.031
Abstract:
Objective:To explore the application value of intravoxel incoherent motion diffusion-weighted MR imaging in different brain tumor diagnosis and grading.Methods:Seventy-six patients with brain tumors from January 2012 to January 2015 were examined by conventional MRI and IVIM.The single-index model was used to analyze the multiple b-value images of IVIM.The diagnosis and grading of brain tumors were compared.Results:Thirty-two benign tumors were round,with equal or low signal intensity in T1WI sequence,and equal or high signal intensity in T2WI sequence.The mass effect was not obvious,and enhancement or non-enhancement was found in 44 cases of malignant tumors.T1WI sequence was equal or low signal,T2WI sequence was equal or high mixed signal.34 cases of mass effect were obvious,10 cases of mass effect were not obvious,and enhanced scanning lesions were significantly enhanced (P<0.05).The area under ROC curve of ADCfast and Ffast was significantly lower than that in ADC and ADCslow group (P<0.05).The ratio of ADCs,ADCslow and ADCfast of benign tumor was significantly higher than that of malignant tumor ADCslow ,and ADCfast and Ffast of high-grade gliomas were significantly higher than those of low-grade gliomas (P<0.05).The area under ROC curve of ADCfast value was significantly lower than that of ADC (P<0.05),but the difference was not statistically significant,between ADCslow group and Ffast group (P<0.05).There was no significant difference in the coincidence rate of glioma classification between routine MRI and double exponential model (P>0.05).Conclusion:The irrelevant motion magnetic resonance imaging of voxels is an effective complementary technique for the diagnosis of brain tumors.ADCslow of DWI technique can be used to diagnose benign and malignant brain tumors.The diagnostic efficacy and ADC value of single exponential model is similal.In addition,the ADCF value of the double exponential model can accurately classify gliomas,which is a sensitive parameter to distinguish high and low grade gliomas.

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Last Update: 2017-12-29