Population. Among all 201 recruited patients, 95 (47.26%) underwent TB and 106 (52.74%) underwent TSB. No significant differences between the two groups were found in terms of age at the time of surgery, Body Mass Index (BMI), pre-surgery tPSA, age adjusted Charlson Comorbidity Index (aaCCI), DRE and smoking habit (Table I. Pre-Surgery Demographic and Clinical Characteristics of the Patients).
Spatial correlation with whole-mount analysis of mpMRI and Prostate Biopsy. In both groups the spatial correlation between mpMRI ROIs, PB positive areas and whole-mount analysis is good. In particular, we found a Pearson’s correlation coefficient (r) of 0.425 (p<0.001) comparing mpMRI ROIs with PB positive areas for TSB group. Concerning the spatial correlation between mpMRI and WMA and between PB and WMA in the same group r=0,441 (p<0.001) and of r=0.704 (p<0.001), respectively. In TB group r=0.718 (p<0.001) correlating mpMRI with PB, r=0.546 (p<0.001) for the correlation between mpMRI and WMA and r=0.615 (p<0.001) correlating PB and WMA (Table II).
Pearson’s correlation was good also stratifying different PI-RADS categories in both groups. It must be highlighted that the best correlation was found for PI-RADS 5 lesions in TB group (r=0.815, p<0.0001) correlating mpMRI ROIs with PB. The correlation is slightly worse comparing mpMRI with WMA (r=0.660, p<0.0001). Targeted and Systematic biopsy (TSB) has the best performance in PI-RADS 3 ROIs: r=0.802 (p<0.0001) between mpMRI and PB and r=0.719 (p<0.0001) between mpMRI and WMA. Concerning PI-RADS 3 lesions, mpMRI does not correlate with WMA in TB group (r=0.267, p=0.218) (Table II).
Concordance of spatial correlation between mpMRI report, PB and WMA was found, whilst the difference between PB approaches compared to WMA is not statistically significant (p=0,141 at Parallelism test). The addition of systematic samplings to targeted cores leads to a slight improvement in terms of correlation between PB and WMA.
For PI-RADS 3 ROIs, mpMRI doesn’t seem as reliable as it is for PI-RADS 4 and 5 lesions. The obtained results in terms of spatial correlation can be explained considering that PI-RADS 3 lesions are often negative for PCa and that a more extensive sampling of the prostate (as it happens in targeted + systematic biopsies) may highlight undetected clinically significant (csPCa) disease areas at mpMRI.
Comparison between mpMRI, PB and WMA concerning csPCa areas. Paired data Student t test was performed to compare the average of mpMRI, PB, WMA positive areas in both groups. As shown in Table III, mpMRI detects fewer lesions than those later detected at PB and at WMA. That is true considering both TB and TSB; in TB group the results show an mpMRI number of lesions of 2.03 ± 1.22, a number of PB positive areas of 2.50 ± 1.34 and a number of WMA positive areas of 4.00 ± 1.53 (p<0.001 for all the comparisons); in TSB group the results show an mpMRI number of lesions of 1.90 ± 1.29, a number of PB positive areas of 3.35 ± 1.60 and a number of WMA positive areas of 4.27 ± 1.62 (p<0.001 for all the comparisons). This finding remains significant also stratifying by PI-RADS score (Table III).
The average percentage of mpMRI lesions compared with WMA is comparable in the two groups: in TB group mpMRI pointed out 53% of lesions later identified by WMA, in TSB group 47% (p= 0.139). A significant difference was found comparing the two biopsy approaches: TB was able to identify 64% of the csPCa lesions, TSB had a better result with a percentage of detected lesions of 80% (p<0.001). Our results suggest that mpMRI can point out about 50% of csPCa lesions and that is true in both groups. In contrast, there is a significant difference considering the two biopsy techniques when compared to WMA. This implies that the addition of systematic sampling may lead to a better local staging of the disease and its better spatial assessment.
Correlation between PCa Gleason Score and mpMRI PI-RADS score. Among patients who underwent to TB the correlation between PI-RADS score and Gleason Score (GS) at PB and at WMA is significant, but not as good as the spatial correlation: r=0,271 for the correlation between PI-RADS score and PB GS (p=0.012), r=0.353 for PI-RADS and WMA GS (p=0.001) and r=0,511 for PB GS and WMA GS (p<0.001). Similar outcomes were found in TSB group: Pearson’s r was 0,233 for the correlation between PI-RADS and WMA GS (p: 0,025) and 0,526 for PB GS and WMA GS (p< 0,001). In TSB group, correlation doesn’t reach the statistical significance comparing PI-RADS score and PB GS (Pearson’s r: 0,125, p: 0,235). This could mean that mpMRI can predict tumor aggressiveness (because as PI-RADS score increases, so does GS at PB and WMA), but its results are sub-optimal. In particular, for PI-RADS 3 lesions and for the correlation between PI-RADS and GS at PB and WMA, often revealed cases of tumor upgrading. In conclusion, by the addition of systematic biopsy samplings more tumor sites of different Gleason Score (both nsPCa and csPCa) can be identified independently from their exact location at mpMRI (Table IV).