Consistent predictive ability of prostate-specific antigen density prediction model for clinically significant prostate cancer across age strata.

BACKGROUND: Prebiopsy prostate-specific antigen density (PSAD) is a well-known predictor of clinically significant prostate cancer (csPCa). Since prostate-specific antigen (PSA) and prostate volume (PV) increase normally with aging, PSAD thresholds may vary. The purpose of the study was to determine if PSAD was predictive of csPCa in different age strata. METHODS: We retrospectively reviewed our institutional database for patients who underwent multiparametric magnetic resonance imaging (MRI) between January 2016 and December 2021. We included patients who had post-MRI prostate biopsies. Based on age, we divided our cohort into four subgroups (groups 1-4): <55, 55-64, 65-74, and ≥75 years old. PSAD accuracy was estimated by the area under the curve (AUC) as a predictive model for differentiating csPCa between the groups. CsPCa was defined as a Gleason Grade Group 2 or higher. Three different PSAD thresholds (0.1, 0.15, and 0.2) were tested across the groups for sensitivity, specificity, and positive predictive value (PPV) and negative predictive value (NPV). Chi-square and analysis of variance tests were used for bivariate analysis. All analys were completed using R 4.3 (R Core Team, 2023). RESULTS: Among 1913 patients, 883 (46.1%) had prostate biopsies. In groups 1, 2, 3, and 4, there were 62 (7%), 321 (36.4%), 404 (45.8%), and 96 (10.9%) patients, respectively. Median PSA was 5.6 (interquartile range 3.4-8.1), 6.2 (4.8-9), 6.8 (5.1-9.7), and 9 (5.6-13), respectively (p < 0.01). Median PV was 42.3 (30-62), 51 (36-77), 55.5 (38-85.9), and 59.3 (42-110) mL, respectively (p < 0.01). No difference was observed in median PSAD between age groups 1-4 (0.1 [0.07-0.16], 0.11 [0.08-0.18], 0.1 [0.07-0.19], and 0.1 [0.07-0.2]), respectively (p = 0.393). CsPCa was diagnosed in 241 (27.3%) patients, of which 10 (16.1%), 65 (20.2%), 121 (30%), and 45 (46.7%) were in groups 1-4, respectively (p < 0.001). For groups 1-4, the PSAD AUC for predicting csPCa was 0.75, 0.68, 0.71, and 0.74. While testing PSAD threshold of 0.15 across the different age groups (1-4), the PPV vs. NPV was 39.1 vs. 93.2, 33.6 vs. 87, 50.9 vs. 80.8, and 66.1 vs. 64.7, respectively. CONCLUSIONS: PSAD prediction model was found to be similar among different age groups. In young patients, PSAD had a high NPV but low PPV. With increasing age, the opposite trend was observed, likely due to higher disease prevalence. While PSAD thresholds may be less useful in older patients to rule out higher-grade prostate cancer, the clinical consequences of these diagnoses require a case-by-case evaluation.

Less qualitative multiparametric magnetic resonance imaging in prostate cancer can underestimate extraprostatic extension in higher grade tumors.

BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) is increasingly used for risk stratification and preoperative staging of prostate cancer. It remains unclear how Grade Group (GG) interacts with the ability of mpMRI to determine the presence of extraprostatic extension (EPE) on surgical pathology. METHODS: A retrospective review of a robotic assisted laparoscopic radical prostatectomy (RALP) database from 2016-2020 was performed. Radiology mpMRI reports by multiple attending radiologists and without clear standardization or quality control were retrospectively assessed for EPE findings and compared with surgical pathology reports. The data were stratified by biopsy-based GG and a multivariable cluster analysis was performed to incorporate additional preoperative variables (age at diagnosis, PSA, etc.). Hazard ratios were calculated to determine how mpMRI findings and radiographic EPE relate to positive surgical margins. RESULTS: 289 patients underwent at least one mpMRI prior to RALP. Preoperative mpMRI demonstrated sensitivity of 39.3% and specificity of 88.8% for pathological EPE and had a negative predictive value (NPV) of 49.5%, and positive predictive value (PPV) of 84.0%. Stratification of NPV by GG yielded the following values: GG 1-5 (49.5%), GG 3-5 (40.8%), GG 4-5 (43.4%), and GG 5 (30.4%). Additionally, positive EPE on preoperative mpMRI was associated with a significantly decreased risk of positive surgical margins (RR: 0.655; 95% CI: 0.557-0.771). CONCLUSIONS: NPV of prostate mpMRI for EPE may be decreased for higher grade tumors. A detailed reference reading and image quality optimization may improve performance. However, urologists should exercise caution in nerve sparing approaches in these patients.

The state of PSA counseling in male-to-female transgender patients in the U.S.

BACKGROUND: Morbidity and mortality from prostate cancer (PCa) are known to vary heavily based on socioeconomic and demographic risk factors. We sought to describe prescreening PSA (prostate-specific antigen) counseling (PPC) rates amongst male-to-female transgender (MtF-TG) patients and non-TG patients using the behavioral risk factor surveillance system (BRFSS). METHODS: We used the survey data from 2014, 2016, and 2018 BRFSS and included respondents aged 40-79 years who completed the "PCa screening" and "sexual orientation and gender identity" modules. We analyzed differences in age, education level, income level, marital status, and race/ethnicity using Pearson's χ2 tests. The association of PPC with MtF-TG status and other patient characteristics was evaluated using multivariate logistic regression. RESULTS: A total of 175,383 respondents were included, of which 0.3% identified as MtF-TG. Overall, 62.4% of respondents reported undergoing PPC. On univariate analysis, PPC rates were lower among MtF-TG respondents when compared to the non-TG group (58.3% vs. 62.4%, p = 0.03). MtF-TG respondents were also more likely to report lower education level (p < 0.01), lower-income level (p < 0.01), and were less likely to be white (p < 0.01) than non-TG respondents. However, multivariate analysis adjusting for these respondent features demonstrated an association between higher income and higher education levels with increased odds of PPC, but no association was demonstrated between MtF-TG status and PPC rates. PPC rates for the MtF-TG and non-TG populations did not change significantly over time. CONCLUSIONS: Although PPC was less frequently reported among MtF-TG respondents than in the non-TG group on univariate analysis, this association was not demonstrated when controlling for confounders, including education and income levels. Instead, on multivariate analysis, low education and income levels were more predictive of PPC rates. Further research is needed to ensure equivalent access to prescreening counseling for patients across the socioeconomic and gender identity spectrum.

Endourology survey on radiation exposure and post-ureteroscopy US and CT reveals a need for clear guidelines.

BACKGROUND: Nephrolithiasis patients undergo repeated imaging increasing their radiation risk. Guidelines recommend imaging following ureteroscopic lithotripsy (URSL), but not the modality or frequency of imaging. As such, we sought to elucidate common imaging practices following URSL and current knowledge of radiation exposure among endourologists. METHODS: A web-based survey of Endourological Society members was used to evaluate knowledge and clinical practices regarding radiation exposure in post-URSL imaging. Respondents were grouped by years of experience (< 10, >= 10 years) and geographic location (USA or non-USA). An interaction term was included in the models to allow response rate to vary across experience level with geographic location and P values were derived from model main effects. RESULTS: A total of 309 respondents answered the survey out of the 1800 active members of the Endourological Society that received the survey (17.2% total response rate). 204 of the respondents were included in our analysis as fellowship trained endourologists that perform URSL with a mean of 13.3 years in practice (IQR 6.75, 20 years). Overall, routine postoperative imaging is performed by 92% of respondents: 97% in the USA and 88% outside the US (P = 0.143). 39% of respondents correctly estimated standard dose CT scan (SCT) dose, while 36% correctly estimated that of a low-dose CT scan (LCT). American urologists correctly identified the SCT radiation dose more often than non-US respondents (54% vs 32%, respectively) (P value = 0.004). Respondents with < 10 years of experience more frequently identified the correct SCT dose (52% vs. 34%, respectively), though not significantly so (P value = 0.171). 79% of respondents consider LCT quality to be similar to SCT and 50% would use LCT on obese patients. However, only 26% of respondents identified that image quality deteriorates with BMI > 30 kg/m2. CONCLUSIONS: We demonstrate a knowledge gap regarding radiation exposure during CT scans and the limitations of low-dose CT imaging. This gap is wider in non-US-based urologists and in those with over 10 years of experience. However, all urologists would benefit from improved education and clear guidelines regarding radiation exposure in nephrolithiasis patients.

A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework.

Cardiovascular diseases (CVDs) are the top ten leading causes of death worldwide. Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial infarction and stroke. The two primary image-based phenotypes used for monitoring the atherosclerosis burden is carotid intima-media thickness (cIMT) and plaque area (PA). Earlier segmentation and measurement methods were based on ad hoc conventional and semi-automated digital imaging solutions, which are unreliable, tedious, slow, and not robust. This study reviews the modern and automated methods such as artificial intelligence (AI)-based. Machine learning (ML) and deep learning (DL) can provide automated techniques in the detection and measurement of cIMT and PA from carotid vascular images. Both ML and DL techniques are examples of supervised learning, i.e., learn from "ground truth" images and transformation of test images that are not part of the training. This review summarizes (1) the evolution and impact of the fast-changing AI technology on cIMT/PA measurement, (2) the mathematical representations of ML/DL methods, and (3) segmentation approaches for cIMT/PA regions in carotid scans based for (a) region-of-interest detection and (b) lumen-intima and media-adventitia interface detection using ML/DL frameworks. AI-based methods for cIMT/PA segmentation have emerged for CVD/stroke risk monitoring and may expand to the recommended parameters for atherosclerosis assessment by carotid ultrasound.

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.

Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitive" functions that we associate with our mind, such as "learning" and "solving problem". New biomarkers derived from medical imaging are being discovered and are then fused with non-imaging biomarkers (such as office, laboratory, physiological, genetic, epidemiological, and clinical-based biomarkers) in a big data framework, to develop AI systems. These systems can support risk prediction and monitoring. This perspective narrative shows the powerful methods of AI for tracking cardiovascular risks. We conclude that AI could potentially become an integral part of the COVID-19 disease management system. Countries, large and small, should join hands with the WHO in building biobanks for scientists around the world to build AI-based platforms for tracking the cardiovascular risk assessment during COVID-19 times and long-term follow-up of the survivors.

Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging.

Rheumatoid arthritis (RA) is a systemic chronic inflammatory disease that affects synovial joints and has various extra-articular manifestations, including atherosclerotic cardiovascular disease (CVD). Patients with RA experience a higher risk of CVD, leading to increased morbidity and mortality. Inflammation is a common phenomenon in RA and CVD. The pathophysiological association between these diseases is still not clear, and, thus, the risk assessment and detection of CVD in such patients is of clinical importance. Recently, artificial intelligence (AI) has gained prominence in advancing healthcare and, therefore, may further help to investigate the RA-CVD association. There are three aims of this review: (1) to summarize the three pathophysiological pathways that link RA to CVD; (2) to identify several traditional and carotid ultrasound image-based CVD risk calculators useful for RA patients, and (3) to understand the role of artificial intelligence in CVD risk assessment in RA patients. Our search strategy involves extensively searches in PubMed and Web of Science databases using search terms associated with CVD risk assessment in RA patients. A total of 120 peer-reviewed articles were screened for this review. We conclude that (a) two of the three pathways directly affect the atherosclerotic process, leading to heart injury, (b) carotid ultrasound image-based calculators have shown superior performance compared with conventional calculators, and (c) AI-based technologies in CVD risk assessment in RA patients are aggressively being adapted for routine practice of RA patients.

A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography.

PURPOSE OF REVIEW: Cardiovascular disease (CVD) and stroke risk assessment have been largely based on the success of traditional statistically derived risk calculators such as Pooled Cohort Risk Score or Framingham Risk Score. However, over the last decade, automated computational paradigms such as machine learning (ML) and deep learning (DL) techniques have penetrated into a variety of medical domains including CVD/stroke risk assessment. This review is mainly focused on the changing trends in CVD/stroke risk assessment and its stratification from statistical-based models to ML-based paradigms using non-invasive carotid ultrasonography. RECENT FINDINGS: In this review, ML-based strategies are categorized into two types: non-image (or conventional ML-based) and image-based (or integrated ML-based). The success of conventional (non-image-based) ML-based algorithms lies in the different data-driven patterns or features which are used to train the ML systems. Typically these features are the patients' demographics, serum biomarkers, and multiple clinical parameters. The integrated (image-based) ML-based algorithms integrate the features derived from the ultrasound scans of the arterial walls (such as morphological measurements) with conventional risk factors in ML frameworks. Even though the review covers ML-based system designs for carotid and coronary ultrasonography, the main focus of the review is on CVD/stroke risk scores based on carotid ultrasound. There are two key conclusions from this review: (i) fusion of image-based features with conventional cardiovascular risk factors can lead to more accurate CVD/stroke risk stratification; (ii) the ability to handle multiple sources of information in big data framework using artificial intelligence-based paradigms (such as ML and DL) is likely to be the future in preventive CVD/stroke risk assessment.

Ureteral stenting practices following routine ureteroscopy: an international survey.

PURPOSE: Stent omission after routine ureteroscopy (rtURS) is accepted by current guidelines and may result in decreased patient morbidity and treatment costs. In a value-based healthcare model, the added morbidity and cost of routine stent placement may be scrutinized. Furthermore, data are limited on urologist cost knowledge and it is effect on ureteral stent placement. As such, we seek to describe ureteral stenting practices and urologist cost knowledge amongst US and non-US-based urologists. METHODS: The ureteroscopic practice patterns and cost awareness of members of the Endourological Society were surveyed using an international email listserv. Respondents were grouped by practice location (US vs non-US). Logistic regression was used to evaluate the associations of surgeon practice location with stenting practices. RESULTS: 233 completed responses were received with a response rate of 13.5%. Results revealed that 55% and 71% of respondents reported ureteral stent insertion after rtURS more than 75% of the time for ureteral and renal stones, respectively. Reporting stent insertion following more than 75% of rtURS was more common among US participants for both ureteral and renal stones. Overall, reported cost knowledge was high, but lower among US participants. On multivariable analysis, US respondents were more likely to place ureteral stents after rtURS for ureteral stones more than 75% of the time when compared to those abroad (OR 3.43 p < 0.01). CONCLUSION: Ureteral stenting after rtURS is over utilized in the US compared to other countries. While this phenomenon is multifactorial in nature, cost knowledge may be under recognized as a determinant of ureteral stent placement following rtURS.

Anticipated treatment defect versus prostatic abscess: radiographic findings following transurethral convective radiofrequency-induced water vapor thermal ablation.

With the increasing use of minimally invasive technologies for the treatment of benign prostatic enlargement/lower urinary tract symptoms, clinicians must become familiar with the various treatment effects and complications. Here we present a case of treatment defect after transurethral convective radiofrequency-induced water vapor thermal ablation (REZUM) radiographically identified as a prostatic abscess without consideration that the finding may have represented an anticipated treatment defect. This likely led to an unnecessary surgical procedure. This entity should be recognized by urologists and radiologists alike to avoid such interventions in the future.

Cost-effectiveness comparison of ureteral calculi treated with ureteroscopic laser lithotripsy versus shockwave lithotripsy.

PURPOSE: To evaluate the cost-effectiveness of shockwave lithotripsy (SWL) versus ureteroscopic lithotripsy (URS) for patients with ureteral stones less than 1.5 cm in diameter. METHODS: Patient age, stone diameter, stone location, and stone-free status were recorded for patients treated with SWL or URS for ureteral stones under 1.5 cm over a 1 year period. Institutional charges were obtained from in-house billing. A decision analysis model was constructed to compare the cost-effectiveness of SWL and URS using our results and success rates for modeling. Three separate models were created to reflect differing practice patterns. RESULTS: A total of 113 patients were included-51 underwent SWL and 62 underwent URS as primary treatment. Single procedure stone-free rates for SWL and URS were 47.1 and 88.7 %, respectively (p < 0.002). Decision analysis modeling demonstrated cost-effectiveness of SWL when SWL single procedure stone-free rates (SFR) were greater than or equal to 60-64 % or when URS single procedure SFRs were less than or equal to 57-76 %, depending on practice patterns. CONCLUSIONS: This retrospective study revealed superior SFR for ureteral stones less than 1.5 cm treated with URS compared to SWL. Our decision analysis model demonstrated that when SFR for SWL is less than 60-64 % or is greater than 57-76 % for URS, SWL is not a cost-effective treatment option. Based on these findings, careful stratification and selection of stone patients may enable surgeons to increase the cost-effectiveness of SWL.

Calculated insulin resistance correlates with stone-forming urinary metabolic changes and greater stone burden in high-risk stone patients.

AIMS: Metabolic syndrome and diabetes are associated with nephrolithiasis. Proposed mechanisms of lithogenesis include insulin resistance causing low urine pH and hyperinsulinemia leading to hypercalciuria. Herein, we sought to determine whether insulin resistance was associated with differences in stone burden and lithogenic changes on 24-hour urine samples. MATERIALS AND METHODS: All patients that underwent comprehensive metabolic workup including 24-hour urine samples and fasting insulin levels were included. Insulin resistance was defined as a homeostasis model assessment of insulin resistance value > 5 (HOMA-IR = (glucose×insulin)/405). Patients on active metabolic therapy were excluded or the 24-hour urine sample predating treatment was utilized for analysis. Stone burden was determined by totaling the maximal diameter of all stones noted on CT. RESULTS: 18 of 30 patients (60.0%) had HOMA-IR > 5. Among patients with calculated insulin resistance, stone burden was greater (17.6 mm vs. 6.3 mm, p = 0.002) and 24-hour urine samples revealed higher urine calcium (293 mg/d vs. 159 mg/d, p = 0.02) and lower urine pH and citrate (454 mg/d vs. 639 mg/d, p = 0.04 and 5.83 vs. 6.33, p = 0.04, respectively). CONCLUSIONS: Previous studies have demonstrated a correlation between metabolic syndrome, diabetes, and nephrolithiasis. This report demonstrates a quantitative increase in stone burden among patients with calculated insulin resistance. The pathway for this greater stone burden may be related to the urinary metabolic changes noted among patients with insulin resistance. In the future, targeting reduction of fasting insulin levels may represent a key element of stone disease prevention.

Epidemiology of and Risk Factors in Postoperative Complications from Robotically Assisted Laparoscopic Radical Prostatectomy in Contemporary National Surgical Quality Improvement Program Data.

Introduction: For localized clinically significant prostate cancer (csPCa), robotically assisted laparoscopic radical prostatectomy (RALP) is the gold standard surgical treatment. Despite low overall complication rate, continued quality assurance (QA) efforts to minimize complications of RALP are important, particularly given movement toward same-day discharge. In 2019, National Surgical Quality Improvement Program (NSQIP) began collecting RALP-specific data. In this study, we assessed pre- and perioperative factors associated with postoperative complications for RALP to further QA efforts. Materials and Methods: Surgical records of csPCa patients who underwent RALP were retrieved from the 2019 to 2021 NSQIP database, including new RALP-specific data. Multivariate logistic regression evaluated the association between risk factors and outcomes specific to RALP and pelvic lymph node dissection (PLND). Input variables included American Society of Anesthesiologists (ASA) class, age, operative time, and body mass index (BMI). Variables from the extended dataset with PLND information included number of nodes evaluated, perioperative antibiotics, postoperative venous thromboembolism (VTE) prophylaxis, history of prior pelvic surgery, and history of prior radiotherapy (RT). Outcomes of interest were any surgical complication, infection, pulmonary embolism, deep venous thrombosis, acute kidney injury, pneumonia, lymphocele, and urinary/anastomotic leak (UAL). Results: A total of 11,811 patients were included with 6.1% experiencing any complication. Prior RT, prior pelvic surgery, older age, higher BMI, lack of perioperative antibiotic therapy, longer operative time, PLND, and number of lymph nodes dissected were associated with higher risk of postoperative complications. Regarding procedure-specific complications, there were increased odds of UAL with prior RT, prior pelvic surgery, longer operative time, and higher BMI. Odds of developing lymphocele increased with prior pelvic surgery, performance of PLND, and increased number of nodes evaluated. Conclusion: In contemporary NSQIP data, RALP is associated with low complication rates; however, these rates have increased compared with historical studies. Attention to and counseling regarding risk factors for peri- and postoperative complications are important to set expectations and minimize risk of unplanned return to a health care setting after discharge.

"Shared decision-making" for prostate cancer screening: Is it a marker of quality preventative healthcare?

BACKGROUND: "Shared decision-making" (SDM) is a cornerstone of prostate cancer (PCa) screening guidelines due to tradeoffs between clinical benefits and concerns for over-diagnosis and over-treatment. SDM requires effort by primary-care-providers (PCP) in an often busy clinical setting to understand patient preferences with the backdrop of patient risk factors. We hypothesized that SDM for PCa screening, given its prominence in guidelines and practical challenges, may be associated with quality preventative healthcare in terms of other appropriate cancer screening and encouragement of other preventative health behaviors. METHODS: From the 2020 Behavioral Risk Factor Surveillance Survey, 50-75 year old men who underwent PSA screening were assessed for their participation in SDM, PCa and colorectal cancer (CRC) screening, and other preventative health behaviors, like vaccination, exercise, and smoking status. Adjusted odds ratio of likelihood of PSA testing as a function of SDM was calculated. Likelihoods of SDM and PSA testing as a function of preventative health behaviors were also calculated. RESULTS: Screening rates were 62 % for PCa and 88 % for CRC. Rates of SDM were 39.1 % in those with PSA screening, and 16.2 % in those without. Odds of PSA screening were higher when SDM was present (AOR = 2.68). History of colonoscopy was associated with higher odds of SDM (AOR = 1.16) and PSA testing (AOR = 1.94). Health behaviors, like regular exercise, were associated with increased odds of SDM (AOR = 1.14) and PSA testing (AOR = 1.28). History of flu vaccination (AOR = 1.29) and pneumonia vaccination (AOR = 1.19) were associated with higher odds of SDM. Those who received the flu vaccine were also more likely to have PSA testing (AOR = 1.36). Smoking was negatively associated with SDM (AOR = 0.86) and PSA testing (AOR = 0.93). Older age was associated with higher rates of PSA screening (AOR = 1.03, CI = 1.03-1.03). Black men were more likely than white men to have SDM (AOR = 1.6, CI = 1.59 - 1.6) and decreased odds of PSA testing (AOR = 0.94, CI = 0.94 - 0.95). CONCLUSIONS: SDM was associated with higher odds of PSA screening, CRC screening, and other appropriate preventative health behaviors. Racial disparities exist in both SDM and PSA screening usage. SDM may be a trackable metric that can lead to wider preference-sensitive care and improved preventative care.

Optimising postoperative care: Same-day discharge after transurethral resection of the prostate.

INTRODUCTION: This study aims to assess the feasibility and safety of same-day discharge after transurethral resection of the prostate. MATERIALS AND METHODS: Five years of records were retrospectively analysed. Length of stay categorised patients into Groups 1 (same-day discharge) and 2 (standard-length discharge). Logistic regression analysis was performed, controlling for clinicodemographic factors. Student's t-test compared continuous bladder irrigation and catheter dwell times. RESULTS: A total of 459 patients were identified between 2016 and 2021, 280 in Group 1 and 179 in Group 2, with median ages of 71.0 (interquartile range 36-92) and 72.0 (interquartile range 47-101) years (p = 0.067), respectively. Same-day discharge rates notably increased post-2018 (p = 0.025). Median prostate tissue resected in Group 2 was 7.1g (3.4-12.4g) and in Group 1 was 4.9g (2.4-10.2g; p = 0.034). While continuous bladder irrigation >1 hour was significantly lower in Group 1 than Group 2 (96.8% versus 27.4%; p = 0.0001), catheter dwell times were comparable (70.1 and 70.8 hours, respectively). Control-adjusted results showed a 40% reduction in emergency department representation odds for Group 1 compared with Group 2 (odds ratio = 0.60; 95% confidence interval = 0.37-0.99; p = 0.04). Length of stay was not significantly associated with hospital readmissions (p = 0.11). Continuous bladder irrigation for <1 hour in Group 1 was associated with a reduced emergency department representation (odds ratio = 0.43; 95% confidence interval = 0.197-0.980) but not readmission (odds ratio = 0.413; 95% confidence interval = 0.166-1.104). CONCLUSIONS: Same-day discharge post-transurethral resection of the prostate may be a viable and safe option for carefully selected patients.

Ductal, intraductal, and cribriform carcinoma of the prostate: Molecular characteristics and clinical management.

Prostatic acinar adenocarcinoma accounts for approximately 95% of prostate cancer (CaP) cases. The remaining 5% of histologic subtypes of CaP are known to be more aggressive and have recently garnered substantial attention. These histologic subtypes - namely, prostatic ductal adenocarcinoma (PDA), intraductal carcinoma of the prostate (IDC-P), and cribriform carcinoma of the prostate (CC-P) - typically exhibit distinct growth characteristics, genomic features, and unique oncologic outcomes. For example, PTEN mutations, which cause uncontrolled cell growth, are frequently present in IDC-P and CC-P. Germline mutations in homologous DNA recombination repair (HRR) genes (e.g., BRCA1, BRCA2, ATM, PALB2, and CHEK2) are discovered in 40% of patients with IDC-P, while only 9% of patients without ductal involvement had a germline mutation. CC-P is associated with deletions in common tumor suppressor genes, including PTEN, TP53, NKX3-1, MAP3K7, RB1, and CHD1. Evidence suggests abiraterone may be superior to docetaxel as a first-line treatment for patients with IDC-P. To address these and other critical pathological attributes, this review examines the molecular pathology, genetics, treatments, and oncologic outcomes associated with CC-P, PDA, and IDC-P with the objective of creating a comprehensive resource with a centralized repository of information on PDA, IDC-P, and CC-P.

Harnessing artificial intelligence for prostate cancer management.

Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is crucial for clinical decision-making, but traditional pathology review is labor intensive and subjective to some extent. Digital pathology and whole-slide imaging enable the application of artificial intelligence (AI) in pathology. This review highlights the success of AI in detecting and grading PCa, predicting patient outcomes, and identifying molecular subtypes. We propose that AI-based methods could collaborate with pathologists to reduce workload and assist clinicians in formulating treatment recommendations. We also introduce the general process and challenges in developing AI pathology models for PCa. Importantly, we summarize publicly available datasets and open-source codes to facilitate the utilization of existing data and the comparison of the performance of different models to improve future studies.

Renal Imaging in Stone Disease: Which Modality to Choose?

Numerous imaging modalities are available to the provider when diagnosing or surveilling kidney stones. The decision to order one over the other can be nuanced and especially confusing to non-urologic practitioners. This manuscript reviews the main modalities used to image stones in the modern era - renal bladder ultrasound, Kidney Ureter Bladder plain film radiography (KUB), magnetic resonance imaging (MRI), and non-contrast computerized tomography (NCCT). While NCCT has become the most popular and familiar modality for most practitioners, particularly in the acute setting, ultrasound is a cost-effective technology that is adept at monitoring interval stone development in patients and evaluating for the presence of hydronephrosis. KUB and MRI also occupy unique niches in the management of urolithiasis. In the correct clinical setting, each of these modalities has a role in the acute workup and management of suspected nephrolithiasis.

The Surgical Management of Urolithiasis: A Review of the Literature.

The incidence of stone disease has increased significantly in the past 30 years, with a reported prevalence of 11% of the U.S. population in 2022, up from 9% in 2012 and 5.2% in 1994.1 While prevention is a vital aspect of management, many patients present with symptomatic urolithiasis requiring surgical management. Emerging advances in endoscopy and technology has led to a dynamic shift in the surgical management of stone disease. This paper will serve as a comprehensive review to inform urologic and non-urologic medical professionals alike, as well as the layperson, on the surgical treatment of nephrolithiasis, starting from the initial evaluation, laboratory and radiographic studies, and various surgical options. Additionally, the nuances of managing the pediatric and pregnant patient with nephrolithiasis will be explored. Using the most up-to-date urologic data, our aim is to provide a comprehensive resource for readers who interact with patients experiencing acute episodes of urolithiasis.