Research Article, J Diagn Tech Biomed Anal Vol: 5 Issue: 1
Novel Evaluation of Intravoxel Incoherent Motion Using Fourier Analysis for Prostate Cancer Detection
| Akio Ogura1*, Fumie Maeda2 and Katsumi Hayakawa3 | |
| 1Graduate School, Gunma Prefectural College of Health Sciences, Japan | |
| 2Department of Radiology, Kyoto City Hospital, Japan | |
| 3Department of Radiology, Iwate Prefectural Kamaishi Hospital, Japan | |
| Corresponding author : Akio Ogura
Graduate School, Gunma Prefectural College of Health Sciences 323-1, Kamioki-machi, Maebashi, Gunma, Japan Tel: +81 27 235-1211 E-mail: a-ogura@mbox.kyoto-inet.or.jp |
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| Received: June 02, 2016 Accepted: July 14, 2016 Published: July 20, 2016 | |
| Citation: Ogura A, Maeda F, Hayakawa K (2016) Novel Evaluation of Intravoxel Incoherent Motion Using Fourier Analysis for Prostate Cancer Detection. J Diagn Tech Biomed Anal 5:1. doi:10.4172/2469-5653.1000115 |
Abstract
Introduction:
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.
Methods:
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.
Results:
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.
Conclusion:
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.
