Abstract

Purpose It has been reported that diffusion-weighted imaging (DWI) with ultrahigh b-value increases the diagnostic power of prostate cancer. DWI with higher b-value increases the diagnostic power of prostate cancer. DWI with higher b-value increases the diagnostic power of prostate cancer. DWI with higher b-value increases the diagnostic power of prostate cancer. DWI with higher Materials and Methods. Fifteen patients (7 malignant and 8 benign) were included in this study retrospectively with the institutional ethical committee approval. All images were acquired at a 3T MR scanner. The ADC values were calculated using a monoexponential model. Synthetic ADC (sADC) for higher b-value increases the diagnostic power of prostate cancer. DWI with higher Results No significant difference was observed between actual ADC and sADC for b-value increases the diagnostic power of prostate cancer. DWI with higher p=0.002, paired t-test) in sDWI as compared to DWI. Malignant lesions showed significantly lower sADC as compared to benign lesions (p=0.002, paired t-test) in sDWI as compared to DWI. Malignant lesions showed significantly lower sADC as compared to benign lesions (Discussion/Conclusion Our initial investigation suggests that the ADC values corresponding to higher b-value can be computed using log-linear relationship derived from lower b-values (b ≤ 1000). Our method might help clinicians to decide the optimal b-value for prostate lesion identification.b-value increases the diagnostic power of prostate cancer. DWI with higher b-value increases the diagnostic power of prostate cancer. DWI with higher b-value increases the diagnostic power of prostate cancer. DWI with higher b-value increases the diagnostic power of prostate cancer. DWI with higher

Highlights

  • In the past few years, the use of diffusion-weighted magnetic resonance imaging (DWI-MRI) for disease detection and characterization has increased substantially

  • In the one-way ANOVA test, apparent diffusion coefficient (ADC) shows highly significant change (p < 0.0001) with respect to the b-value, both in the transitional zone (TZ) and peripheral zone (PZ) (Figure 1) of the prostate in all the patient data. is observation supports our initial assumption that the ADC is not constant with respect to b-values. e log-linear model gives the best fit to the data (R2∼0.9) from the prostate tissue (Figure 2)

  • No significant difference was observed in the paired t-test between Synthetic ADC (sADC) as compared to actual ADC in the prostate lesions; the change was significant in the normal tissue (p < 0.001) at b-2000

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Summary

Introduction

In the past few years, the use of diffusion-weighted magnetic resonance imaging (DWI-MRI) for disease detection and characterization has increased substantially. Computed DWI is a mathematical technique, which generates images of higher b-values by using at least two different lower b-value (b ≤ 1000) images. E underlying assumption of the computed DWI method is that the ADC is independent of b-values, which contradicts the observation that ADC can vary significantly with the b-value as reported in the literature [19, 20]. Using this technique, DW images for higher b-values can be generated but the ADC value for the higher b-value cannot be obtained. Ln(ADC) P1 ln(b) + P1(4), where P1 and P2 are constants. erefore, we hypothesized a log-linear relationship between ADC derived from the monoexponential model and the b-value. e purpose of this study was to derive the log-linear relation for lower b-value ADCs and use that relationship to extrapolate ADCs for higher b-values

Materials and Methods
Results
Discussion and Conclusion
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