biostudies-literatureChikui TMinistry of Education, Culture, Sports, Science and Technology20584601241244777https://www.ebi.ac.uk/biostudies/studies/S-EPMC10979534biostudies-literatureUnknown13(3)<h4>Background</h4>Diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are widely used in the orofacial region. Furthermore, quantitative analyses have proven useful. However, a few reports have described the correlation between DWI-derived parameters and DCE-MRI-derived parameters, and the results have been controversial.<h4>Purpose</h4>To evaluate the correlation among parameters obtained by DWI and DCE-MRI and to compare them between benign and malignant lesions.<h4>Material and methods</h4>Fifty orofacial lesions were analysed. The apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*) and perfusion fraction (f) were estimated by DWI. For DCE-MRI, TK model analysis was performed to estimate physiological parameters, for example, the influx forward volume transfer constant into the extracellular-extravascular space (EES) (K^trans) and fractional volumes of EES and plasma components (ve and vp).<h4>Results</h4>Both ADC and D showed a moderate positive correlation with ve (ρ = 0.640 and 0.645, respectively). K^trans showed a marginally weak correlation with f (ρ = 0.296), while vp was not correlated with f or D*; therefore, IVIM perfusion-related parameters and TK model perfusion-related parameters were not straightforward. Both D and ve yielded high diagnostic power between benign lesions and malignant tumours with areas under the curve (AUCs) of 0.830 and 0.782, respectively.<h4>Conclusion</h4>Both D and ve were reliable parameters that were useful for the differential diagnosis. In addition, the true diffusion coefficient (D) was affected by the fractional volume of EES.Acta radiologica openCorrelation between diffusion-weighted image-derived parameters and dynamic contrast-enhanced magnetic resonance imaging-derived parameters in the orofacial region.PMC10979534Grant-in-Aid for Scientific Research (C) 18K09770Chikui TKiyoshima TTogao OYoshiura KOhga MKawano SKami YfalseCorrelation between diffusion-weighted image-derived parameters and dynamic contrast-enhanced magnetic resonance imaging-derived parameters in the orofacial region.<h4>Background</h4>Diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are widely used in the orofacial region. Furthermore, quantitative analyses have proven useful. However, a few reports have described the correlation between DWI-derived parameters and DCE-MRI-derived parameters, and the results have been controversial.<h4>Purpose</h4>To evaluate the correlation among parameters obtained by DWI and DCE-MRI and to compare them between benign and malignant lesions.<h4>Material and methods</h4>Fifty orofacial lesions were analysed. The apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*) and perfusion fraction (f) were estimated by DWI. For DCE-MRI, TK model analysis was performed to estimate physiological parameters, for example, the influx forward volume transfer constant into the extracellular-extravascular space (EES) (K^trans) and fractional volumes of EES and plasma components (ve and vp).<h4>Results</h4>Both ADC and D showed a moderate positive correlation with ve (ρ = 0.640 and 0.645, respectively). K^trans showed a marginally weak correlation with f (ρ = 0.296), while vp was not correlated with f or D*; therefore, IVIM perfusion-related parameters and TK model perfusion-related parameters were not straightforward. Both D and ve yielded high diagnostic power between benign lesions and malignant tumours with areas under the curve (AUCs) of 0.830 and 0.782, respectively.<h4>Conclusion</h4>Both D and ve were reliable parameters that were useful for the differential diagnosis. In addition, the true diffusion coefficient (D) was affected by the fractional volume of EES.2024-01-01T00:00:00Z2024 Mar2025-04-22T08:21:28.457Z2025-04-22T08:21:28.457ZS-EPMC109795343855944910.1177/20584601241244777