Intravoxel Incoherent Motion MR Imaging in the Head and Neck: Correlation with Dynamic Contrast-Enhanced MR Imaging and Diffusion-Weighted Imaging
Korean Journal of Radiology
;
: 641-649, 2016.
Artigo
em Inglês
| WPRIM
| ID: wpr-99439
ABSTRACT
OBJECTIVE:
To investigate the correlation between perfusion- and diffusion-related parameters from intravoxel incoherent motion (IVIM) and those from dynamic contrast-enhanced MR imaging (DCE-MRI) and diffusion-weighted imaging in tumors and normal muscles of the head and neck. MATERIALS ANDMETHODS:
We retrospectively enrolled 20 consecutive patients with head and neck tumors with MR imaging performed using a 3T MR scanner. Tissue diffusivity (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) were derived from bi-exponential fitting of IVIM data obtained with 14 different b-values in three orthogonal directions. We investigated the correlation between D, f, and D* and model-free parameters from the DCE-MRI (wash-in, Tmax, Emax, initial AUC60, whole AUC) and the apparent diffusion coefficient (ADC) value in the tumor and normal masseter muscle using a whole volume-of-interest approach. Pearson's correlation test was used for statistical analysis.RESULTS:
No correlation was found between f or D* and any of the parameters from the DCE-MRI in all patients or in patients with squamous cell carcinoma (p > 0.05). The ADC was significantly correlated with D values in the tumors (p 0.05, respectively).CONCLUSION:
Intravoxel incoherent motion shows no significant correlation with model-free perfusion parameters derived from the DCE-MRI but is feasible for the analysis of diffusivity in both tumors and normal muscles of the head and neck.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Perfusão
/
Imageamento por Ressonância Magnética
/
Carcinoma de Células Escamosas
/
Estudos Retrospectivos
/
Difusão
/
Cabeça
/
Músculo Masseter
/
Músculos
/
Pescoço
Tipo de estudo:
Estudo observacional
Limite:
Humanos
Idioma:
Inglês
Revista:
Korean Journal of Radiology
Ano de publicação:
2016
Tipo de documento:
Artigo
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