Dataset Information

Comparison of perfusion- and diffusion-weighted imaging parameters in brain tumor studies processed using different software platforms.

ABSTRACT:

Rationale and objectives

To compare quantitative imaging parameter measures from diffusion- and perfusion-weighted imaging magnetic resonance imaging (MRI) sequences in subjects with brain tumors that have been processed with different software platforms.

Materials and methods

Scans from 20 subjects with primary brain tumors were selected from the Comprehensive Neuro-oncology Data Repository at Washington University School of Medicine (WUSM) and the Swedish Neuroscience Institute. MR images were coregistered, and each subject's data set was processed by three software packages: 1) vendor-specific scanner software, 2) research software developed at WUSM, and 3) a commercially available, Food and Drug Administration-approved, processing platform (Nordic Ice). Regions of interest (ROIs) were chosen within the brain tumor and normal nontumor tissue. The results obtained using these methods were compared.

Results

For diffusion parameters, including mean diffusivity and fractional anisotropy, concordance was high when comparing different processing methods. For perfusion-imaging parameters, a significant variance in cerebral blood volume, cerebral blood flow, and mean transit time (MTT) values was seen when comparing the same raw data processed using different software platforms. Correlation was better with larger ROIs (radii ≥ 5 mm). Greatest variance was observed in MTT.

Conclusions

Diffusion parameter values were consistent across different software processing platforms. Perfusion parameter values were more variable and were influenced by the software used. Variation in the MTT was especially large suggesting that MTT estimation may be unreliable in tumor tissues using current MRI perfusion methods.

SUBMITTER: Milchenko MV

PROVIDER: S-EPMC4607045 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature

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Publications

Comparison of perfusion- and diffusion-weighted imaging parameters in brain tumor studies processed using different software platforms.

Milchenko Mikhail V MV Rajderkar Dhanashree D LaMontagne Pamela P Massoumzadeh Parinaz P Bogdasarian Ronald R Schweitzer Gordon G Benzinger Tammie T Marcus Dan D Shimony Joshua S JS Fouke Sarah Jost SJ

Academic radiology 20140801 10

<h4>Rationale and objectives</h4>To compare quantitative imaging parameter measures from diffusion- and perfusion-weighted imaging magnetic resonance imaging (MRI) sequences in subjects with brain tumors that have been processed with different software platforms.<h4>Materials and methods</h4>Scans from 20 subjects with primary brain tumors were selected from the Comprehensive Neuro-oncology Data Repository at Washington University School of Medicine (WUSM) and the Swedish Neuroscience Institute. ...[more]

PMID: 25088833

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Dataset Information

Comparison of perfusion- and diffusion-weighted imaging parameters in brain tumor studies processed using different software platforms.

Rationale and objectives

Materials and methods

Results

Conclusions

Publications

Comparison of perfusion- and diffusion-weighted imaging parameters in brain tumor studies processed using different software platforms.

Similar Datasets

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