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Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of sinonasal malignancies: correlations with Ki-67 proliferation status
Ist Teil von
European radiology, 2018-07, Vol.28 (7), p.2923-2933
Ort / Verlag
Berlin/Heidelberg: Springer Berlin Heidelberg
Erscheinungsjahr
2018
Quelle
MEDLINE
Beschreibungen/Notizen
Objectives
To explore the correlations of parameters derived from standard diffusion-weighted imaging (DWI), diffusion kurtosis imaging (DKI) and intravoxel incoherent motion (IVIM) with the Ki-67 proliferation status.
Methods
Seventy-five patients with histologically proven sinonasal malignancies who underwent standard DWI, DKI and IVIM were retrospectively reviewed. The mean, minimum, maximum and whole standard DWI [apparent diffusion coefficient (ADC)], DKI [diffusion kurtosis (K) and diffusion coefficient (Dk)] and IVIM [pure diffusion coefficient (
D
), pseudo-diffusion coefficient (
D*
) and perfusion fraction (
f
)] parameters were measured and correlated with the Ki-67 labelling index (LI). The Ki-67 LI was categorised as high (> 50%) or low (≤ 50%).
Results
The K and
f
values were positively correlated with the Ki-67 LI (rho = 0.295~0.532), whereas the ADC, Dk and
D
values were negatively correlated with the Ki-67 LI (rho = -0.443~-0.277). The ADC, Dk and
D
values were lower, whereas the K value was higher in sinonasal malignancies with a high Ki-67 LI than in those in a low Ki-67 LI (all
p
< 0.05). A higher maximum K value (K
max
> 0.977) independently predicted a high Ki-67 status [odds ratio (OR) = 7.614; 95% confidence interval (CI) = 2.197-38.674;
p
= 0.017].
Conclusion
ADC, Dk, K,
D
and
f
are correlated with Ki-67 LI. K
max
is the strongest independent factor for predicting Ki-67 status.
Key Points
•
DWI-derived parameters from different models are capable of providing different pathophysiological information.
•
DWI, DKI and IVIM parameters are associated with Ki-67 proliferation status.
•
K
max
derived from DKI is the strongest independent factor for the prediction of Ki-67 proliferation status.