» Articles » PMID: 23928134

Perfusion Measurement in Brain Gliomas with Intravoxel Incoherent Motion MRI

Overview
Specialty Neurology
Date 2013 Aug 10
PMID 23928134
Citations 61
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Purpose: Intravoxel incoherent motion MRI has been proposed as an alternative method to measure brain perfusion. Our aim was to evaluate the utility of intravoxel incoherent motion perfusion parameters (the perfusion fraction, the pseudodiffusion coefficient, and the flow-related parameter) to differentiate high- and low-grade brain gliomas.

Materials And Methods: The intravoxel incoherent motion perfusion parameters were assessed in 21 brain gliomas (16 high-grade, 5 low-grade). Images were acquired by using a Stejskal-Tanner diffusion pulse sequence, with 16 values of b (0-900 s/mm(2)) in 3 orthogonal directions on 3T systems equipped with 32 multichannel receiver head coils. The intravoxel incoherent motion perfusion parameters were derived by fitting the intravoxel incoherent motion biexponential model. Regions of interest were drawn in regions of maximum intravoxel incoherent motion perfusion fraction and contralateral control regions. Statistical significance was assessed by using the Student t test. In addition, regions of interest were drawn around all whole tumors and were evaluated with the help of histograms.

Results: In the regions of maximum perfusion fraction, perfusion fraction was significantly higher in the high-grade group (0.127 ± 0.031) than in the low-grade group (0.084 ± 0.016, P < .001) and in the contralateral control region (0.061 ± 0.011, P < .001). No statistically significant difference was observed for the pseudodiffusion coefficient. The perfusion fraction correlated moderately with dynamic susceptibility contrast relative CBV (r = 0.59). The histograms of the perfusion fraction showed a "heavy-tailed" distribution for high-grade but not low-grade gliomas.

Conclusions: The intravoxel incoherent motion perfusion fraction is helpful for differentiating high- from low-grade brain gliomas.

Citing Articles

Research Progress on Glioma Microenvironment and Invasiveness Utilizing Advanced Multi-Parametric Quantitative MRI.

Song D, Fan G, Chang M Cancers (Basel). 2025; 17(1.

PMID: 39796702 PMC: 11719598. DOI: 10.3390/cancers17010074.


Analysis of IVIM Perfusion Fraction Improves Detection of Pancreatic Ductal Adenocarcinoma.

Nadolska K, Bialecka A, Zawada E, Kazimierczak W, Serafin Z Diagnostics (Basel). 2024; 14(6).

PMID: 38534992 PMC: 10969450. DOI: 10.3390/diagnostics14060571.


The diagnostic efficiency of integration of 2HG MRS and IVIM versus individual parameters for predicting IDH mutation status in gliomas in clinical scenarios: A retrospective study.

Yu M, Ge Y, Wang Z, Zhang Y, Hou X, Chen H J Neurooncol. 2024; 167(2):305-313.

PMID: 38424338 DOI: 10.1007/s11060-024-04609-2.


Imaging Techniques and Clinical Application of the Marrow-Blood Barrier in Hematological Malignancies.

Zhang J, Huang Q, Bian W, Wang J, Guan H, Niu J Diagnostics (Basel). 2024; 14(1).

PMID: 38201327 PMC: 10795601. DOI: 10.3390/diagnostics14010018.


Predicting TERT promoter mutation status using H-MR spectroscopy and stretched-exponential model of diffusion-weighted imaging in IDH-wildtype diffuse astrocytic glioma without intense enhancement.

Yamashita K, Hatae R, Kikuchi K, Kuga D, Hata N, Yamamoto H Neuroradiology. 2023; 65(8):1205-1213.

PMID: 37308686 DOI: 10.1007/s00234-023-03177-y.


References
1.
Turner R, Le Bihan D, Maier J, Vavrek R, Hedges L, Pekar J . Echo-planar imaging of intravoxel incoherent motion. Radiology. 1990; 177(2):407-14. DOI: 10.1148/radiology.177.2.2217777. View

2.
Federau C, Maeder P, OBrien K, Browaeys P, Meuli R, Hagmann P . Quantitative measurement of brain perfusion with intravoxel incoherent motion MR imaging. Radiology. 2012; 265(3):874-81. DOI: 10.1148/radiol.12120584. View

3.
Knutsson L, Stahlberg F, Wirestam R . Absolute quantification of perfusion using dynamic susceptibility contrast MRI: pitfalls and possibilities. MAGMA. 2009; 23(1):1-21. DOI: 10.1007/s10334-009-0190-2. View

4.
Andreou A, Koh D, Collins D, Blackledge M, Wallace T, Leach M . Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases. Eur Radiol. 2012; 23(2):428-34. DOI: 10.1007/s00330-012-2604-1. View

5.
Higano S, Yun X, Kumabe T, Watanabe M, Mugikura S, Umetsu A . Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. Radiology. 2006; 241(3):839-46. DOI: 10.1148/radiol.2413051276. View