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Assessment of tumor treatment response using active contrast encoding (ACE)-MRI: Comparison with conventional DCE-MRI
Author(s) -
Zhendong Jin,
Kerryanne Veronica Winters,
Karl Kiser,
Mehran Baboli,
Sungheon Kim
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0234520
Subject(s) - dynamic contrast enhanced mri , nuclear medicine , magnetic resonance imaging , washout , dynamic contrast , medicine , contrast (vision) , correlation , chemistry , radiology , mathematics , computer science , artificial intelligence , geometry
Purpose To investigate the validity of contrast kinetic parameter estimates from Active Contrast Encoding (ACE)-MRI against those from conventional Dynamic Contrast-Enhanced (DCE)-MRI for evaluation of tumor treatment response in mouse tumor models. Methods The ACE-MRI method that incorporates measurement of T 1 and B 1 into the enhancement curve washout region, was implemented on a 7T MRI scanner to measure tracer kinetic model parameters of 4T1 and GL261 tumors with treatment using bevacizumab and 5FU. A portion of the same ACE-MRI data was used for conventional DCE-MRI data analysis with a separately measured pre-contrast T 1 map. Tracer kinetic model parameters, such as K trans (permeability area surface product) and v e (extracellular space volume fraction), estimated from ACE-MRI were compared with those from DCE-MRI, in terms of correlation and Bland-Altman analyses. Results A three-fold increase of the median K trans by treatment was observed in the flank 4T1 tumors by both ACE-MRI and DCE-MRI. In contrast, the brain tumors did not show a significant change by the treatment in either ACE-MRI or DCE-MRI. K trans and v e values of the tumors from ACE-MRI were strongly correlated with those from DCE-MRI methods with correlation coefficients of 0.92 and 0.78, respectively, for the median values of 17 tumors. The Bland-Altman plot analysis showed a mean difference of -0.01 min -1 for K trans with the 95% limits of agreement of -0.12 min -1 to 0.09 min -1 , and -0.05 with -0.37 to 0.26 for v e . Conclusion The tracer kinetic model parameters estimated from ACE-MRI and their changes by treatment closely matched those of DCE-MRI, which suggests that ACE-MRI can be used in place of conventional DCE-MRI for tumor progression monitoring and treatment response evaluation with a reduced scan time.

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