TY - JOUR
T1 - Comparison of perfusion- and diffusion-weighted imaging parameters in brain tumor studies processed using different software platforms
AU - Milchenko, Mikhail V.
AU - Rajderkar, Dhanashree
AU - LaMontagne, Pamela
AU - Massoumzadeh, Parinaz
AU - Bogdasarian, Ronald
AU - Schweitzer, Gordon
AU - Benzinger, Tammie
AU - Marcus, Dan
AU - Shimony, Joshua S.
AU - Fouke, Sarah Jost
N1 - Publisher Copyright:
© 2014 AUR.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - 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≥5mm). 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.
AB - 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≥5mm). 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.
KW - Cerebral diffusion
KW - Cerebral perfusion
KW - MRI
KW - Tumor imaging
UR - http://www.scopus.com/inward/record.url?scp=84908232573&partnerID=8YFLogxK
U2 - 10.1016/j.acra.2014.05.016
DO - 10.1016/j.acra.2014.05.016
M3 - Article
C2 - 25088833
AN - SCOPUS:84908232573
SN - 1076-6332
VL - 21
SP - 1294
EP - 1303
JO - Academic radiology
JF - Academic radiology
IS - 10
ER -