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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.

PurposeManagement of metastatic renal cell cancer (mRCC) has undergone a paradigm shift with immune-checkpoint inhibitors (ICI) in the first-line setting. However, direct comparative data are inadequate to inform treatment decisions. Therefore, we aimed to assess first-line therapy for mRCC and indirectly compare the efficacy and safety of currently available treatments.Materials and methodsMultiple databases were searched for articles published before June 2020. Studies that compared overall and/or progression-free survival (OS/PFS) and/or adverse events (AEs) in mRCC patients were considered eligible.ResultsSix studies matched our eligibility criteria. For OS, pembrolizumab plus axitinib [hazard ratio (HR) 0.85, 95% credible interval (CrI) 0.73–0.98] and nivolumab plus ipilimumab (HR 0.86, 95% CrI 0.75–0.99) were significantly more effective than sunitinib, and pembrolizumab plus axitinib was probably the best option based on analysis of the treatment ranking. For PFS, pembrolizumab plus axitinib (HR 0.86, 95% CrI 0.76–0.97) and avelumab plus axitinib (HR 0.85, 95% CrI 0.74–0.98) were statistically superior to sunitinib, and avelumab plus axitinib was likely to be the preferred option based on analysis of the treatment ranking, closely followed by pembrolizumab plus axitinib. Nivolumab plus ipilimumab had significantly lower rates of serious AEs than sunitinib.ConclusionPembrolizumab plus axitinib seemed to be the most efficacious first-line agents, while nivolumab plus ipilimumab had the most favorable efficacy–tolerability equilibrium. These findings may facilitate individualized treatment strategies and inform future direct comparative trials in an expanding treatment options without direct comparison between approved drugs.

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.

Objectives Radiomic involves testing the associations of a large number of quantitative imaging features with clinical characteristics. Our aim was to extract a radiomic signature from axial T2-weighted (T2-W) magnetic resonance imaging (MRI) of the whole prostate able to predict oncological and radiological scores in prostate cancer (PCa). Methods This study included 65 patients with localized PCa treated with radiotherapy (RT) between 2014 and 2018. For each patient, the T2-W MRI images were normalized with the histogram intensity scale standardization method. Features were extracted with the IBEX software. The association of each radiomic feature with risk class, T-stage, Gleason score (GS), extracapsular extension (ECE) score, and Prostate Imaging Reporting and Data System (PI-RADS v2) score was assessed by univariate and multivariate analysis. Results Forty-nine out of 65 patients were eligible. Among the 1702 features extracted, 3 to 6 features with the highest predictive power were selected for each outcome. This analysis showed that texture features were the most predictive for GS, PI-RADS v2 score, and risk class; intensity features were highly associated with T-stage, ECE score, and risk class, with areas under the receiver operating characteristic curve (ROC AUC) ranging from 0.74 to 0.94. Conclusions MRI-based radiomics is a promising tool for prediction of PCa characteristics. Although a significant association was found between the selected features and all the mentioned clinical/radiological scores, further validations on larger cohorts are needed before these findings can be applied in the clinical practice. Key Points • A radiomic model was used to classify PCa aggressiveness. • Radiomic analysis was performed on T2-W magnetic resonance images of the whole prostate gland. • The most predictive features belong to the texture (57%) and intensity (43%) domains.

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.

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.

BackgroundTo compare survival outcomes of metastatic patients harbouring either papillary (pRCC) or clear-cell (ccRCC) renal cell carcinoma in overall population and according to treatment modality.MethodsWithin the Surveillance, Epidemiology and End Results database (2006–2015), we identified 6800 patients (585 papillary and 6215 clear-cell) with metastatic RCC. Propensity-score (PS) matching, Kaplan–Meier plots and multivariable Cox-regression models (CRMs) were used.ResultsOverall, 585 (8.6%) patients harboured pRCC. Rates of nodal metastases were higher in patients with pRCC (49.7 vs. 23.3%; p < 0.001). Median overall survival (OS) was 13 vs. 18 months for pRCC vs. ccRCC patients. After multivariable adjustments, no difference in OS was recorded. Furthermore, after propensity-score matching, virtually the same results were recorded. Median OS of pRCC vs. ccRCC was 8 vs. 4 months for no treatment (NT), 11 vs. 12 months for targeted therapy alone (TT), 17 vs. 35 months for cytoreductive nephrectomy alone (CN) and 18 vs. 25 months for combination of CN with TT.ConclusionsMetastatic pRCC patients exhibit poor survival, regardless of treatment received. Moreover, pRCC patients are more likely to present nodal metastases, compared to ccRCC patients, as demonstrated by twofold higher rates of lymph node invasion at diagnosis. These observations indicate that papillary variant represents more prognostically unfavorable tumor histology, in the context of metastatic RCC.

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.