Premium
Diffusion‐weighted multiparametric MRI for monitoring longitudinal changes of parameters in rabbit VX2 liver tumors
Author(s) -
Wu Haijun,
Liu Hui,
Liang Changhong,
Zhang Shuixing,
Liu Zaiyi,
Liu Chunling,
Liu Yubao,
Hu Maoqing,
Li Chuanzi,
Mei Yingjie
Publication year - 2016
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.25179
Subject(s) - effective diffusion coefficient , nuclear medicine , diffusion mri , perfusion , medicine , histopathology , pathology , vascularity , statistical significance , magnetic resonance imaging , radiology
Purpose To investigate the value of different quantitative models of diffusion‐weighted multiparametric imaging (DW‐MPI) including traditional as well as several advanced models for monitoring the longitudinal parameter changes in rabbit liver VX2 carcinoma and for correlating the perfusion‐related imaging parameters to vascularity of tumor tissue. Materials and Methods Rabbit liver VX2 carcinoma was imaged by DW‐MPI at the 2nd, 3rd, and 4th weeks after tumor implantation at 1.5T using two sets of b values ranging from 0 to 2000 s/mm 2 . Serial parameter changes of each model at three timepoints were compared. Univariate and multivariate regression analyses were carried out to analyze the ability of perfusion‐related parameters, including apparent diffusion coefficient (ADC), perfusion fraction ( f ), and pseudodiffusion coefficient ( D* ), to predict mean microvessel density (MVD) as determined by quantitative histopathology. Results For the period from Week 2 to Week 4, the measurements of ADC, f , and K DKI illustrated a statistical difference ( P = 0.000, P = 0.000, and P = 0.002, respectively), whereas the comparison of D, D*, D DKI , D SEM , and α SEM demonstrated no statistical significance. ADC and f showed highest correlation with MVD at Week 4 ( r 2 = 0.307, P = 0.017, and r 2 = 0.402, P < 0.01, respectively). Multivariate analyses confirmed highest correlation of f and ADC with MVD at Week 4 ( P = 0.001 and P = 0.002). Conclusion ADC, f , and K DKI were identified as the most promising parameters for monitoring changes in rabbit liver VX2 carcinoma and f and ADC showed highest correlation with MVD. J. Magn. Reson. Imaging 2016;44:707–714.