Background/Objectives: Renal transplantation (RT) remains the gold standard for end-stage renal disease, offering superior outcomes versus dialysis. Despite advances, ureteric complications (leaks/strictures) persist, primarily from ischemic injury, posing substantial graft risks. We review etiology, incidence, and management strategies for post-RT ureteric complications, focusing on surgical reconstruction techniques. Methods: Literature assessment examined ischemic-related ureteric complications. Primary outcomes: incidence, success, complication rates, operative times, and long-term patency. Secondary outcomes: graft/patient survival and reoperation rates. Techniques evaluated included extravesical Lich–Gregoir (L-G) and transvesical Leadbetter–Politano (L-P) ureteroneocystostomy (UNC), Boari flap with psoas hitch, pyelo/ureteroureterostomy, pyelovesicostomy, and ureteroenterostomy. Surgical indications, procedural details, advantages, disadvantages, and quantitative outcomes were systematically analyzed. Results: Ureteric complication incidence ranged from 1 to 15%, with ischemic injury as the primary cause. L-G UNC demonstrated lower complication rates than L-P (6.15% vs. 8.33%) with reduced operative times. Pyelo/ureteroureterostomy achieved excellent salvage outcomes (>90% success, 3.9% reintervention rate). Boari flap provides a suitable option for extensive ureteric defects, consistently preserving graft function without stricture recurrences. Pyelovesicostomy showed 80% long-term success in complex cases. Ureteroenterostomy achieved comparable 5-year graft survival (63%) to standard drainage, despite higher infection rates (65%). Pyelovesicostomy and ureteroenterostomy remain important solutions for specific challenging scenarios. Conclusions: Urinary reconstruction technique selection should be individualized based on anatomical considerations, pathology, and surgical expertise. Comprehensive understanding of reconstruction techniques enables effective management of ureteric complications, preserving graft function and improving outcomes.

Background/Objectives: ISUP grade group discordance between prostate biopsy and radical prostatectomy (RP) impacts treatment decisions in over a third (~25–40%) of prostate cancer (PCa) patients. We aimed to identify ISUP grade migration predictors and assess the impact of preoperative imaging (MRI) in a contemporary Romanian PCa cohort. Methods: We retrospectively analyzed 142 PCa patients undergoing RP following biopsy between January 2021 and December 2024 at Pius Brinzeu County Hospital, Timișoara: 90 without and 52 with preoperative MRI. Clinical parameters, MRI findings (PI-RADS), and biopsy characteristics were evaluated. Machine learning models (gradient boosting, random forest) were developed with SHAP analysis for interpretability. Results: Grade migration occurred in 69/142 patients (48.6%): upstaging in 55 (38.7%) and downstaging in 14 (9.9%). In the non-MRI cohort, 37/90 (41.1%) were upstaged and 9/90 (10.0%) were downstaged, versus 18/52 (34.6%) upstaged and 5/52 (9.6%) downstaged in the MRI cohort. The MRI group showed a 6.5% absolute reduction in upstaging (34.6% vs. 41.1%), a promising non-significant trend (p = 0.469) that requires further investigation. Grade 1 patients showed the highest upstaging (69.4%), while Grades 3–4 showed the highest downstaging (11/43, 25.6%). PI-RADS 4 lesions had the highest upstaging (43.5%). PSA density > 0.20 ng/mL² emerged as the strongest predictor. Gradient boosting achieved superior performance (AUC = 0.812) versus logistic regression (AUC = 0.721), representing a 13% improvement in discrimination. SHAP analysis revealed PSA density as the most influential (importance: 0.287). Grade migration associated with adverse pathology: extracapsular extension (52.7% vs. 28.7%, p = 0.008) and positive margins (38.2% vs. 21.8%, p = 0.045). Conclusions: ISUP grade migration affects 48.6% of Romanian patients, with 38.7% upstaged and 9.9% downstaged. The 69.4% upstaging in Grade 1 patients emphasizes the need for enhanced risk stratification tools, while 10% downstaging suggests potential overtreatment. Machine learning with SHAP analysis provides superior predictive performance (13% AUC improvement) while offering clinically interpretable risk assessments. PSA density dominates risk assessment, while PI-RADS 4 lesions warrant closer scrutiny than previously recognized.

Background/Objectives: International Society of Urological Pathology (ISUP) Grade Group discordance between prostate biopsy and radical prostatectomy (RP) affects 25–50% of men with localized prostate cancer and has direct implications for active surveillance, nerve-sparing, and adjuvant-treatment decisions. We synthesized contemporary evidence on the frequency of biopsy-to-RP grade migration and on emerging imaging, molecular/genomic, and artificial-intelligence (AI)-based predictors of migration. Methods: MEDLINE (PubMed) was searched from 1 January 2010 to 5 May 2026, supplemented by citation searching of recent systematic reviews. Eligible studies reported paired biopsy–RP pathology under the modified 2005 Gleason or the 2014/2019 ISUP Grade Group system, with ≥50 paired cases. Risk of bias was assessed with QUIPS, PROBAST, and QUADAS-2; certainty of evidence was rated with a GRADE framework adapted for prognostic research. Synthesis followed the SWiM reporting guidance. Results: Thirty-seven primary studies and eight prior systematic reviews were included. Concordance ranged from 44% to ~70%, upgrading from 14% to 67%, and downgrading from 5% to 26%. Biopsy GG1 disease showed the highest absolute upgrading risk (55–67%). Four predictors reached moderate GRADE certainty: PI-RADS category, biopsy approach (combined vs. systematic), PSMA-PET maximum standardized uptake value, and PSA density (PSAD). Cribriform/intraductal carcinoma at biopsy, the Decipher genomic classifier, the Prostate Health Index, and machine-learning and radiomics models reached very low certainty; clinical nomograms reached low certainty; germline alterations as direct predictors reached very low certainty. PROBAST flagged the analysis domain as high risk in five of eight prediction-model studies, and only one of eight models was externally validated. Conclusions: Despite a decade of refinements in grading, imaging, biopsy technique, and molecular profiling, biopsy-to-RP grade discordance remains substantial. Contemporary evidence supports incorporating PI-RADS, biopsy approach, and PSAD into shared decision-making; emerging molecular and AI-based predictors require prospective external validation in adequately powered, geographically representative cohorts before routine clinical adoption.

Prostate biopsy is among the most frequently performed diagnostic procedures in men, and two shifts have reshaped it over the past decade: the incorporation of multiparametric MRI (mpMRI) with targeted sampling, and migration from the transrectal to the transperineal route. Because these changes are usually adopted together, the practical choice facing many units is between a contemporary transperineal MRI-targeted pathway and the historical transrectal systematic one. This narrative review weights cancer detection, procedure-related harms, and implementation approximately equally, drawing on evidence that isolates route from targeting wherever possible. Across randomized trials and meta-analyses, the two pathways achieve broadly comparable detection of clinically significant cancer (ISUP grade group ≥ 2), although the transperineal route samples anterior and apical tumors more effectively and the largest randomized comparison reported a modest transperineal advantage. The principal transperineal benefit is a marked reduction in infectious complications, enabling reduced antibiotic prophylaxis and improved stewardship; its main cost is greater procedural discomfort. We review mpMRI and PI-RADS with illustrative examples, fusion technique, cost-effectiveness, special populations, emerging adjuncts, and divergent guidelines, concluding that route and targeting decisions are best individualized, with infection risk and lesion location dominant.