Journal of Diagnostic Techniques and Biomedical AnalysisISSN: 2469-5653

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Novel Evaluation of Intravoxel Incoherent Motion Using Fourier Analysis for Prostate Cancer Detection

To evaluate both a novel approach of data acquisition and the use of intravoxel incoherent motion (IVIM) as an analytical detection method in patients with prostate cancer.
This study retrospectively evaluated 34 patients who had prostate cancer diagnosed on biopsy. Diffusion-weighted images (DWIs) were obtained at specific values. The IVIM diffusion model was used to ascertain the D*, ADC, and perfusion fraction (f). The fitting curve was determined using the Fourier transform. An intercept value at 0.05 of the Fourier transform curve was defined as the vascularity-value (V-value). The V-values were compared with the D*, f, and ADC.
Prostate cancer detection rates on each index were f = 0.59, D* = 0.56, ADC = 0.78. and V-value = 0.74. The rates of agreement obtained via a dynamic contrast enhanced (DCE)-MRI were f = 0.53, D* = 0.42, and V-value = 0.81. The total prostate cancer detection rates using the ADC and V-value were 91%, in comparison with the total detection rates of both the ADC and DCE together.
A more detailed data acquisition is required for IVIM, and the Fourier transform was effective for evaluation of the IVIM curve shape. The V-value can be used to evaluate tumor vascularity.

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