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Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more comprehensive and holistic approach. Radiomics is the extraction and interpretation of images phenotypes in a quantitative manner. Radiomics may give an advantage through advancements in imaging modalities and through the potential power of artificial intelligence techniques by translating those features into clinical outcome prediction. This article gives an overview on the current evidence of methodology and reviews the available literature on radiomics in PCa patients, highlighting its potential for personalized treatment and future applications.

Metastasis-directed therapy by stereotactic body radiotherapy (SBRT) has been shown to improve clinical outcomes in the oligometastatic prostate cancer setting. We aimed to investigate whether short-course androgen deprivation therapy (ADT) and SBRT at all oligometastatic sites versus SBRT alone improves clinical progression-free survival in men with metachronous oligorecurrent hormone-sensitive prostate cancer. The RADIOSA study was a single-centre, randomised, open-label, controlled phase 2 trial done in the European Institute of Oncology, IRCCS, Milan, Italy. Key eligibility criteria were histologically proven initial diagnosis of adenocarcinoma of the prostate, biochemical progression after radical local prostate treatment, nodal relapse in the pelvis, extra-regional nodal relapse, bone metastases at next-generation imaging with a maximum of three lesions, Eastern Cooperative Oncology Group (ECOG) performance status 0–1, and age 18 years or older. Participants were stratified according to prostate-specific membrane antigen doubling time (≤3 vs >3 months), metastases localisation (node vs bone), and diagnostic imaging (positron emission tomography vs MRI) and were randomly assigned (1:1) using a computer-generated random number to SBRT alone or SBRT in combination with 6 months of ADT. For SBRT treatment, a schedule of 30 Gy in three fractions every other day (with the equivalent dose in 2 Gy fractions being 98·6 Gy, considering α/β ratio of 1·5 Gy and biologically effective dose of >100 Gy), or equivalent regimens depending on disease site location, was administered. Patients in the SBRT with ADT group received 6 months of ADT with a luteinising hormone-releasing hormone analogue within 1 week before the start of SBRT. The allocated treatment was not masked. The primary outcome measure was clinical progression-free survival. All analyses followed a modified intention-to-treat principle, consisting of all patients assigned to a treatment group who had available data. The trial is registered at ClinicalTrials.gov, NCT02680587, and is complete. Between Aug 1, 2019, and April 30, 2023, 218 patients were assessed for eligibility, 113 were excluded, and 105 were enrolled and randomly assigned to an intervention (52 to SBRT only and 53 to SBRT with ADT). Three patients were lost to follow-up and 51 patients in each group were assessed for the primary outcome. The median age at study enrolment was 70 years (IQR 65–75); data on race and ethnicity were not collected. With a median follow-up of 31 months (IQR 16–36) for both groups, the median clinical progression-free survival was 15·1 months (95% CI 12·4–22·8) for the SBRT group versus 32·2 months (22·4–not reached) for the SBRT with ADT group (hazard ratio 0·43 [95% CI 0·26–0·72], p=0·0010]). One gastrointestinal grade 1 adverse event (SBRT group) and one genitourinary grade 3 adverse event (left ureter stenosis, SBRT with ADT group) were reported, with no late toxicities observed. 22 grade 1 ADT-related adverse events were reported, all of which had resolved at the last follow-up. No treatment-related deaths were recorded. To our knowledge, the RADIOSA trial represents the first randomised trial in the metachronous oligometastatic hormone-sensitive prostate cancer setting to report improved clinical progression-free survival with the combination of SBRT and a short course of ADT, although carefully selected patients might still benefit from SBRT alone. By demonstrating improved clinical progression-free survival, the RADIOSA trial reinforces the role of metastasis-directed therapy in delaying systemic treatment escalation. Additionally, it underscores the need for further studies to determine the optimal duration of ADT and identify biomarkers predicting response to SBRT alone. Italian Association of Cancer Research.

Radiomics and genomics represent two of the most promising fields of cancer research, designed to improve the risk stratification and disease management of patients with prostate cancer (PCa). Radiomics involves a conversion of imaging derivate quantitative features using manual or automated algorithms, enhancing existing data through mathematical analysis. This could increase the clinical value in PCa management. To extract features from imaging methods such as magnetic resonance imaging (MRI), the empiric nature of the analysis using machine learning and artificial intelligence could help make the best clinical decisions. Genomics information can be explained or decoded by radiomics. The development of methodologies can create more-efficient predictive models and can better characterize the molecular features of PCa. Additionally, the identification of new imaging biomarkers can overcome the known heterogeneity of PCa, by non-invasive radiological assessment of the whole specific organ. In the future, the validation of recent findings, in large, randomized cohorts of PCa patients, can establish the role of radiogenomics. Briefly, we aimed to review the current literature of highly quantitative and qualitative results from well-designed studies for the diagnoses, treatment, and follow-up of prostate cancer, based on radiomics, genomics and radiogenomics research.

Radiomics and artificial intelligence (AI) may increase the differentiation of benign from malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma (RCC), differentiation of oncocytoma from RCC, differentiation of different subtypes of RCC, to predict Fuhrman grade, to predict gene mutation through molecular biomarkers and to predict treatment response in metastatic RCC undergoing immunotherapy. Neural networks analyze imaging data. Statistical, geometrical, textural features derived are giving quantitative data of contour, internal heterogeneity and gray zone features of lesions. A comprehensive literature review was performed, until July 2022. Studies investigating the diagnostic value of radiomics in differentiation of renal lesions, grade prediction, gene alterations, molecular biomarkers and ongoing clinical trials have been analyzed. The application of AI and radiomics could lead to improved sensitivity, specificity, accuracy in detecting and differentiating between renal lesions. Standardization of scanner protocols will improve preoperative differentiation between benign, low-risk cancers and clinically significant renal cancers and holds the premises to enhance the diagnostic ability of imaging tools to characterize renal lesions.

Sexual disorders following retroperitoneal pelvic lymph node dissection (RPLND) for testis tumor can affect the quality of life of patients. The aim of the current study was to investigate several different andrological outcomes, which may be influenced by robot-assisted (RA) RPLND. From January 2012 to March 2020, 32 patients underwent RA-RPLND for stage I nonseminomatous testis cancer or postchemotherapy (PC) residual mass. Modified unilateral RPLND nerve-sparing template was always used. Major variables of interest were erectile dysfunction (ED), premature ejaculation (PE), dry ejaculation (DE), or orgasm alteration. Finally, fertility as well as the fecundation process (sexual intercourse or medically assisted procreation [MAP]) was investigated. Ten patients (31.3%) presented an andrological disorder of any type after RA-RPLND. Hypospermia was present in 4 (12.5%) patients, DE (International Index of Erectile Function-5 [IIEF-5] <25) in 3 (9.4%) patients, and ED in 3 (9.4%) patients. No PE or orgasmic alterations were described. Similar median age at surgery, body mass index (BMI), number of nodes removed, scholar status, and preoperative risk factor rates were identified between groups. Of all these 10 patients, 6 (60.0%) were treated at the beginning of our robotic experience (2012-2016). Of all 32 patients, 5 (15.6%) attempted to have a child after RA-RPLND. All of these 5 patients have successfully fathered children, but 2 (40.0%) required a MAP. In conclusion, a nonnegligible number of andrological complications occurred after RA-RPLND, mainly represented by ejaculation disorders, but ED occurrence and overall sexual satisfaction deficit should be definitely considered. No negative impact on fertility was described after RA-RPLND.

Artificial intelligence is highly regarded as the most promising future technology that will have a great impact on healthcare across all specialties. Its subsets, machine learning, deep learning, and artificial neural networks, are able to automatically learn from massive amounts of data and can improve the prediction algorithms to enhance their performance. This area is still under development, but the latest evidence shows great potential in the diagnosis, prognosis, and treatment of urological diseases, including bladder cancer, which are currently using old prediction tools and historical nomograms. This review focuses on highly significant and comprehensive literature evidence of artificial intelligence in the management of bladder cancer and investigates the near introduction in clinical practice.

We performed a systematic review of studies evaluating the impact of surgery for lower urinary tract symptoms suggestive of benign prostate enlargement (LUTS/BPE) on both erectile and ejaculatory functions. In June 2018, we searched for randomized controlled trials (RCTs) published between 1998 and 2018 in which both functions were assessed using questionnaires. Overall, 15 studies were identified. Pre-operatively, mean International Index of Erectile Function −5 (IIEF-5) and mean IIEF—Erectile Function (EF) scores ranged from 13.3 to 20.8, and from 13.7 to 22.3, respectively. At follow-up evaluations, mean IIEF-5 and mean IIEF-EF scores did not significantly vary (13.4 to 20.7 and 14.4 to 24.3, respectively). Mean baseline Male Sexual Health Questionnaire- Ejaculatory Disease function score at baseline and follow-up evaluations ranged from 8.7 to 10.6, and from 4.9 to 11.9, respectively. Ejaculatory function significantly worsened in three studies after transurethral resection of the prostate and significantly improved in 2 studies after prostate urethral lift implant. In conclusions, available RCTs evaluating both erectile and ejaculatory functions after surgical procedures for LUTS/BPE fail to demonstrate significant variations in terms of erectile function scores while providing significant variations of ejaculatory function scores that are heterogeneous depending on the procedure adopted.

Many efforts to reduce prostate specific antigen (PSA) overdiagnosis and overtreatment have been made. To this aim, Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) have been proposed as new more specific biomarkers. We evaluated the ability of phi and PCA3 to identify prostate cancer (PCa) at initial prostate biopsy in men with total PSA range of 2-10 ng/ml. The performance of phi and PCA3 were evaluated in 300 patients undergoing first prostate biopsy. ROC curve analyses tested the accuracy (AUC) of phi and PCA3 in predicting PCa. Decision curve analyses (DCA) were used to compare the clinical benefit of the two biomarkers. We found that the AUC value of phi (0.77) was comparable to those of %p2PSA (0.76) and PCA3 (0.73) with no significant differences in pairwise comparison (%p2PSA vs phi p = 0.673, %p2PSA vs. PCA3 p = 0.417 and phi vs. PCA3 p = 0.247). These three biomarkers significantly outperformed fPSA (AUC = 0.60), % fPSA (AUC = 0.62) and p2PSA (AUC = 0.63). At DCA, phi and PCA3 exhibited a very close net benefit profile until the threshold probability of 25%, then phi index showed higher net benefit than PCA3. Multivariable analysis showed that the addition of phi and PCA3 to the base multivariable model (age, PSA, %fPSA, DRE, prostate volume) increased predictive accuracy, whereas no model improved single biomarker performance. Finally we showed that subjects with active surveillance (AS) compatible cancer had significantly lower phi and PCA3 values (p<0.001 and p = 0.01, respectively). In conclusion, both phi and PCA3 comparably increase the accuracy in predicting the presence of PCa in total PSA range 2-10 ng/ml at initial biopsy, outperforming currently used %fPSA.

PurposeTo test discontinuation rates during Active Surveillance (AS) in patients diagnosed with incidental prostate cancers (IPCa) vs. tumors diagnosed at prostate biopsies (BxPCa).MethodsRetrospective single center analysis of 961 vs. 121 BxPCa vs. IPCa patients (2008–2020). Kaplan–Meier plots and multivariable Cox regression models tested four different outcomes: (1) any-cause discontinuation; (2) discontinuation due to ISUP GG upgrading; (3) biopsy discontinuation due to ISUP GG upgrading or > 3 positive cores; (4) biopsy discontinuation or suspicious extraprostatic extension at surveillance mpMRI. Then, multivariable logistic regression models tested rates of clinically significant PCa (csPCa) (ISUP GG ≥ 3 or pT ≥ 3a or pN1) after radical prostatectomy (RP).ResultsMedian time follow-up was 35 (19–64) months. IPCa patients were at lower risk of any-cause (3-year survival: 79.3 vs. 66%; HR: 0.5, p = 0.001) and biopsy/MRI AS discontinuation (3-year survival: 82.3 vs. 72.7%; HR: 0.5, p = 0.001), compared to BxPCa patients. Conversely, IPCa patients exhibited same rates of biopsy discontinuation and ISUP GG upgrading over time, relative to BxPCa. In multivariable logistic regression models, IPCa patients were associated with higher rates of csPCa at RP (OR: 1.4, p = 0.03), relative to their BxPCa counterparts.ConclusionAS represents a safe management strategy for IPCa. Compared to BxPCa, IPCa patients are less prone to experience any-cause and biopsy/MRI AS discontinuation. However, the two mentioned groups present similar rates of biopsy discontinuation and ISUP GG upgrading over time. In consequence, tailored AS protocols with scheduled repeated surveillance biopsies should be offered to all newly diagnosed IPCa patients.

Introduction: Radical cystectomy (RC) is the gold standard treatment for patients with muscle-invasive or refractory non-muscle invasive bladder cancer. It is estimated that approximately 64% and 13% of RC patients experience any complication and major complications, respectively. Specialized immunonutrition (SIM) aims to reduce the rates of complications after RC. We reported surgical complication rates in RC patients who received (SIM group) versus who did not receive (no-SIM group) perioperative SIM. Moreover, we investigated factors associated with complications after RC. Material and Methods: This is a retrospective cohort study of 52 patients who underwent RC between April 2016 and December 2017. Overall, 26 (50%) patients received perioperative SIM. We recorded age, gender, Charlson Comorbidity Index (CCI), body mass index (BMI), Malnutrition Universal Screening Tool (MUST) score, unintentional weight loss (UWL), SIM drinks consume, surgical approach, urinary diversion, neoadjuvant chemotherapy (NAC), use of total parenteral nutrition (TPN), final pathology, length of stay (LOS), and complications. Results: SIM was associated with higher rates of documented infections (P = .03). Conversely, post-operative ileus was associated with higher rates of overall infections (P = .03). Median LOS was comparable within the 2 groups. Overall, 4 (15.38%) versus 0 (0%) patients in SIM versus no-SIM group were readmitted to hospital (P = .03). Age, CCI, NAC, and TPN were not associated with complication rates. Conclusions: SIM is not associated with lower rates of post-operative complications in RC candidates. Moreover, higher rates of documented infections were observed in the SIM group. Patients with post-operative ileus experienced more infections. Age, CCI, NAC, and TPN were not predictive of complications.