Abstract
PurposeTo characterize intermediate and high-risk prostate carcinomas with measurements of standardized uptake values (SUVs) and apparent diffusion coefficient (ADC) values by means of simultaneous [18F] choline PET/MRI.Materials and Methods35 patients with primary prostate cancer underwent simultaneous [18F] choline PET/MRI. From these, 21 patients with an intermediate and high risk constellation who were not under ongoing hormonal therapy were included. Altogether 32 tumor lesions with a focal uptake of [18F] choline could be identified. Average ADC values (ADCaver) minimum ADC values (ADCmin) as well as maximum and mean SUVs (SUVmax, SUVmean) of tumor lesions were assessed with volume-of-interest (VOI) and Region-of-interest (ROI) measurements. As a reference, also ADCaver, ADCmin and SUVmax and SUVmean of non-tumorous prostate tissue were measured. Statistical analysis comprised calculation of descriptive parameters and calculation of Pearson’s product moment correlations between ADC values and SUVs of tumor lesions.ResultsMean ADCaver and ADCmin of tumor lesions were 0.94±0.22×10−3 mm2/s and 0.65±0.21×10−3 mm2/s, respectively. Mean SUVmax and SUVmean of tumor lesions were 6.3±2.3 and 2.6±0.8, respectively. These values were in each case significantly different from the reference values (p<0.001). There was no significant correlation between the measured SUVs and ADC values (SUVmax vs. ADCaver: R = −0.24, p = 0.179; SUVmax vs. ADCmin: R = −0.03, p = 0.877; SUVmean vs. ADCaver: R = −0.27, p = 0.136; SUVmean vs. ADCmin: R = −0.08, p = 0.679).ConclusionBoth SUVs and ADC values differ significantly between tumor lesions and healthy tissue. However, there is no significant correlation between these two parameters. This might be explained by the fact that SUVs and ADC values characterize different parts of tumor biology.
Highlights
Prostate cancer is a common disease of the elder male patient in western countries [1]
There was no significant correlation between the measured SUVs and apparent diffusion coefficient (ADC) values (SUVmax vs. ADCaver: R = 20.24, p = 0.179; SUVmax vs. ADCmin: R = 20.03, p = 0.877; SUVmean vs. ADCaver: R = 20.27, p = 0.136; SUVmean vs. ADCmin: R = 20.08, p = 0.679)
This might be explained by the fact that SUVs and ADC values characterize different parts of tumor biology
Summary
Prostate cancer is a common disease of the elder male patient in western countries [1]. There are reports that ADC values inversely correlate with the grade of malignancy of prostate cancers in such a way that tumors with high Gleason scores have lower ADC values than tumors with low Gleason scores [6]. ADC values could be used to identify clinically significant more aggressive prostate cancers. The ADC can be used as an indicator of therapeutic response during chemotherapy, as it has been reported that ADC values tend to rise under ongoing treatment [7,8]. This can be explained with a disintegration and decrease of tumor cells leading to an alleviation of water diffusion.
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