A Description and Safety Overview of Irreversible Electroporation for Prostate Tissue Ablation in Intermediate-Risk Prostate Cancer Patients: Preliminary Results from the PRESERVE Trial.

The PRESERVE study (NCT04972097) aims to evaluate the safety and effectiveness of the NanoKnife System to ablate prostate tissue in patients with intermediate-risk prostate cancer (PCa). The NanoKnife uses irreversible electroporation (IRE) to deliver high-voltage electrical pulses to change the permeability of cell membranes, leading to cell death. A total of 121 subjects with organ-confined PCa ≤ T2c, prostate-specific antigens (PSAs) ≤ 15 ng/mL, and a Gleason score of 3 + 4 or 4 + 3 underwent focal ablation of the index lesion. The primary endpoints included negative in-field biopsy and adverse event incidence, type, and severity through 12 months. At the time of analysis, the trial had completed accrual with preliminary follow-up available. Demographics, disease characteristics, procedural details, PSA responses, and adverse events (AEs) are presented. The median (IQR) age at screening was 67.0 (61.0-72.0) years and Gleason distribution 3 + 4 (80.2%) and 4 + 3 (19.8%). At 6 months, all patients with available data (n = 74) experienced a median (IQR) percent reduction in PSA of 67.6% (52.3-82.2%). Only ten subjects (8.3%) experienced a Grade 3 adverse event; five were procedure-related. No Grade ≥ 4 AEs were reported. This study supports prior findings that IRE prostate ablation with the NanoKnife System can be performed safely. Final results are required to fully assess oncological, functional, and safety outcomes.

Interaction of patient age and high-grade prostate cancer on targeted biopsies of MRI suspicious lesions.

OBJECTIVES: To evaluate the interaction of patient age and Prostate Imaging-Reporting and Data System (PI-RADS) score in determining the grade of prostate cancer (PCa) identified on magnetic resonance imaging (MRI)-targeted biopsy in older men. PATIENTS AND METHODS: From a prospectively accrued Institutional Review Board-approved comparative study of MRI-targeted and systematic biopsy between June 2012 and December 2022, men with at least one PI-RADS ≥3 lesion on pre-biopsy MRI and no prior history of PCa were selected. Ordinal and binomial logistic regression analyses were performed. RESULTS: A total of 2677 men met study criteria. The highest PI-RADS score was 3 in 1220 men (46%), 4 in 950 men (36%), and 5 in 507 men (19%). The median (interquartile range [IQR]) patient age was 66.7 (60.8-71.8) years, median (IQR) prostate-specific antigen (PSA) level was 6.1 (4.6-9.0) ng/mL, median (IQR) prostate volume was 48 (34-68) mL, and median (IQR) PSA density was 0.13 (0.08-0.20) ng/mL/mL. Clinically significant (cs)PCa and high-risk PCa were identified on targeted biopsy in 1264 (47%) and 321 (12%) men, respectively. Prevalence of csPCa and high-risk PCa were significantly higher in the older age groups. On multivariable analyses, patient age was significantly associated with csPCa but not high-risk PCa; PI-RADS score and the interaction of age and PI-RADS score were significantly associated with high-risk PCa but not csPCa. CONCLUSION: In our cohort, the substantial rate of high-risk PCa on MRI-ultrasound fusion targeted biopsies in older men, and its significant association with MRI findings, supports the value of pre-biopsy MRI to localise disease that could cause cancer mortality even in older men.

Antibiotic resistance in patients undergoing serial prostate biopsies: risk factors and impact on clinical outcomes.

INTRODUCTION: We evaluate the rate of developing ciprofloxacin resistance in patients undergoing repeat prostate biopsies (PBx), associated risk factors, and impact on complications. MATERIALS AND METHODS: We retrospectively evaluated pre-procedural rectal culture (RCx) data in men undergoing PBx from 1/1/2016 to 1/15/2021. Univariate and multivariate logistic regression were utilized to identify risk factors associated with development of antibiotic resistance. Complication rates were compared between ciprofloxacin-sensitive and ciprofloxacin-resistant patients. RESULTS: A total of 743 men underwent initial RCx. Initial RCx detected ciprofloxacin resistance in 22% of patients. A history of diabetes (p = 0.01), > 2 prior prostate biopsies (p = 0.01), and ciprofloxacin use (p = 0.002) were significant risk factors for ciprofloxacin resistance on initial RCx. The rate of new ciprofloxacin resistance following biopsy with standard ciprofloxacin prophylaxis on 1st and 2nd exposure was 17.2% and 9.1% respectively. The number of biopsy cores, interval antibiotic exposure and interval procedures performed between first and second RCx were not significant predictors of developing ciprofloxacin resistance. Patients who received a non-ciprofloxacin antibiotic between first and second RCx did not develop ciprofloxacin resistance. Antibiotic resistance profile did not significantly affect the rate or type of complications after various prostate procedures. CONCLUSIONS: Serial exposure to standard antibiotic prophylaxis for PBx and associated procedures can lead to development of ciprofloxacin resistance after each subsequent exposure. This carries important implications for serial biopsy and highlights the role for RCx prior to repeat biopsy.

Patient-reported prostate cancer treatment regret following primary partial gland cryoablation.

BACKGROUND: Prostate cancer treatment-related regret (TRR) incorporates the myriad effects of diagnosis and treatment with associated behavioral, emotional, and interpersonal changes within the context of patient values and expectations. We aimed to investigate TRR following primary partial gland cryoablation (PPGCA). METHODS: Men with prostate cancer undergoing PPGCA since 3/2017 enrolled in a prospective outcome registry. Between June and August 2022, a validated prostate cancer related TRR decision scale was distributed. TRR score ≥40 was considered significant TRR. Men were considered potent if they reported ability to have penetration at least half the time sexual intercourse was initiated. Associations between significant TRR and baseline characteristics and longitudinal outcomes were assessed using logistic regressions. RESULTS: Of 245 men who met inclusion criteria, 163 (67%) completed the survey with median time since cryoablation 2.3 years (IQR: 1.3, 3.6). Overall, the mean composite TRR score was 12.4/100. Significant TRR was expressed by 14% of men. Among those who were potent/had erectile function at baseline, loss of potency and erectile function were associated with higher probability of significant TRR, respectively. No associations were identified between TRR and recurrence of clinically significant prostate cancer or salvage treatment. CONCLUSIONS: The overwhelming majority of men do not express TRR following PPGCA. The loss of potency or development of erectile dysfunction predisposes to TRR. It is imperative to elucidate short-, intermediate- and long-term functional and oncological outcomes in order to define factors associated with TRR to improve counseling and reduce patient regret.

Biopsy Assessment of Oncologic Control 3 Years Following Primary Partial Gland Cryoablation: A Prospective Cohort Study of Men With Intermediate-risk Prostate Cancer.

PURPOSE: We evaluated 3-year oncologic outcomes following primary partial gland cryoablation. MATERIALS AND METHODS: Men with unilateral intermediate-risk prostate cancer undergoing primary partial gland cryoablation since March 2017 enrolled in a prospective outcome registry. The postablation protocol for all men included surveillance prostate biopsy at 2 years postablation and reflex prostate biopsy for cases with high suspicion of recurrence (eg, progressive rise in PSA). Recurrence of clinically significant prostate cancer was defined as any Gleason grade group ≥2 disease on postablation biopsy. Freedom from failure represented no whole gland salvage treatment, metastatic prostate cancer, or prostate cancer mortality. Freedom from recurrence and freedom from failure were characterized using nonparametric maximum likelihood estimators. RESULTS: A total of 132 men had at least 24 months of follow-up data. Biopsies identified clinically significant prostate cancer in 12 men. At 36 months, model-estimated rates of freedom from recurrence of in-field, out-of-field, and overall clinically significant cancer were 97% (95% CI: 92-100), 87% (95% CI: 80-94), and 86% (95% CI: 78-93), respectively. The model-estimated proportion with freedom from failure at 36 months was 97% (95% CI: 93-100). CONCLUSIONS: The low in-field cancer detection rate at 3 years indicates successful ablation of localized cancers. Conversely, our observed out-of-field detection rate highlights the need for continued surveillance following partial gland cryoablation. Many of these recurrences exhibited very low volume of clinically significant disease below the detection threshold of multiparametric MRI, suggesting a limited role for multiparametric MRI in detecting clinically significant recurrences at 2 years. These findings emphasize the need for long-term surveillance and identification of predictors of clinically significant prostate cancer recurrences to guide biopsy timing.

Impact of 3D printed models on quantitative surgical outcomes for patients undergoing robotic-assisted radical prostatectomy: a cohort study.

BACKGROUND: Three-dimensional (3D) printed anatomic models can facilitate presurgical planning by providing surgeons with detailed knowledge of the exact location of pertinent anatomical structures. Although 3D printed anatomic models have been shown to be useful for pre-operative planning, few studies have demonstrated how these models can influence quantitative surgical metrics. OBJECTIVE: To prospectively assess whether patient-specific 3D printed prostate cancer models can improve quantitative surgical metrics in patients undergoing robotic-assisted radical prostatectomy (RARP). METHODS: Patients with MRI-visible prostate cancer (PI-RADS V2 ≥ 3) scheduled to undergo RARP were prospectively enrolled in our IRB approved study (n = 82). Quantitative surgical metrics included the rate of positive surgical margins (PSMs), operative times, and blood loss. A qualitative Likert scale survey to assess understanding of anatomy and confidence regarding surgical approach was also implemented. RESULTS: The rate of PSMs was lower for the 3D printed model group (8.11%) compared to that with imaging only (28.6%), p = 0.128. The 3D printed model group had a 9-min reduction in operating time (213 ± 42 min vs. 222 ± 47 min) and a 5 mL reduction in average blood loss (227 ± 148 mL vs. 232 ± 114 mL). Surgeon anatomical understanding and confidence improved after reviewing the 3D printed models (3.60 ± 0.74 to 4.20 ± 0.56, p = 0.62 and 3.86 ± 0.53 to 4.20 ± 0.56, p = 0.22). CONCLUSIONS: 3D printed prostate cancer models can positively impact quantitative patient outcomes such as PSMs, operative times, and blood loss in patients undergoing RARP.

Systematic Review and Meta-Analysis of Free-Hand and Fixed-Arm Spatial Tracking Methodologies in Software-Guided MRI-TRUS Fusion Prostate Biopsy Platforms.

OBJECTIVE: To evaluate the cancer detection rate (CDR) between the 2 dominant spatial tracking methodologies in software-guided MRI-transrectal ultrasound fusion prostate biopsy (SGF-Bx) platforms: fixed-arm and free-hand. METHODS: We conducted a systematic review and meta-analysis on published primary analyses of prospective trials and cohort studies that enrolled biopsy-naïve patients for SFG-Bx. Inclusion criteria included the use of the Prostate Imaging Reporting & Data System (PI-RADS) v2.0 or later and the targeting of lesions graded as PI-RADS 3 or higher. Random effects models were used to assess the overall prostate cancer (PCa) CDR and the clinically significant prostate cancer (csPCa) CDR for both platforms. csPCa was standardized to a definition of Gleason Grade Group 2 or higher when possible. Subgroup analysis was performed by stratifying studies into the average number of cores taken per lesion. RESULTS: The PCa CDR was 0.674 for free-hand systems and 0.681 for fixed-arm systems. The csPCa CDR was 0.492 for free-hand systems and 0.500 for fixed-hand systems. There was no significant difference between free-hand and fixed-arm cancer detection rates for both overall PCa (P = .88) and csPCa (P = .90). Subgroup analyses revealed significant PCa CDR and csPCa CDR differences (P < .001) between free-hand and fixed-arm platforms only when 2 cores per lesion were taken, in favor of fixed-arm platforms. CONCLUSIONS: Fixed-arm platforms performed similarly in cancer detection to free-hand platforms but show a minor benefit on fewer samples. While tracking methodology differences appear subtle, further investigation into the clinical impact of platform-specific features are warranted.

Prostate magnetic resonance imaging-targeted biopsy global grade correlates better than highest grade with prostatectomy grade.

BACKGROUND: Magnetic resonance imaging (MRI)-targeted prostate biopsy has become an increasingly common method of diagnosing prostate cancer. A previous study from our institution demonstrated that the biopsy global Grade Group (gGG, aggregate GG of all positive cores) and highest Grade Group (hGG in any core) both show substantial concordance with the Grade Group at radical prostatectomy (RPGG) while the discordance predominantly consists of upgrading in gGG and downgrading in hGG. We performed a larger cohort study focused on biopsy cases in which gGG and hGG differ, to determine their relative concordance with RPGG. METHODS: We conducted a retrospective review of radical prostatectomy specimens with prior MRI-targeted biopsies from our institution between 2016 and 2020. Separate gGG and hGG were assigned to each MRI-targeted lesion. Targeted lesions with different gGG versus hGG were segregated from those with identical gGG and hGG. The concordance of biopsy GG with RPGG was evaluated using κ coefficient analysis. RESULTS: Of the 489 lesions with MRI-targeted biopsies, 82 (17%) differed in gGG versus hGG. The gGG of 46 (56%), 33 (40%), and 3 (4%) lesions were unchanged, upgraded, and downgraded at radical prostatectomy, respectively (κ= 0.302, weighted κ = 0.334). The hGG of 24 (29%), 9 (11%), and 49 (60%) lesions were unchanged, upgraded, and downgraded at radical prostatectomy, respectively (κ = 0.040, weighted κ = 0.198). When stratified by the biopsy GG, gGG showed the highest concordance in GG2 (61%) and GG3 (54%) lesions. The hGG resulted in substantial downgrading (60%) with less optimal concordance regardless of the biopsy GG. Neither the prebiopsy prostate specific antigen level nor the PI-RADS score was predictive of upgrading of gGG. CONCLUSIONS: When gGG and hGG differ, gGG method more accurately predicts the RPGG than hGG, particularly in GG2 and GG3 lesions which comprised the majority of targeted lesions.

Testicular schistosomiasis: a systematic review of the literature.

INTRODUCTION: To consolidate reported information on presentation, diagnosis, and treatment modalities in testicular schistosomiasis (TS) to provide a reference tool for this rare disease. MATERIALS AND METHODS: A comprehensive PubMed search was performed using PRISMA guidelines, which yielded 21 articles detailing 22 cases of TS. RESULTS: Testicular schistosomiasis remains a rare disease, presenting at a variety of ages (median age 27). All reports of this condition are associated with exposure to an endemic area. The most common presenting symptoms include nonspecific testicular swelling (54.5%) followed by a testicular mass/nodule (18.4%). Diagnosis relies upon clinical suspicion due to low specificity on laboratory and imaging evaluation, with only 18% of urine evaluations positive for parasitic infection. Final diagnosis was made on biopsy (38.1%), radical orchiectomy (47.6%) or frozen section during partial orchiectomy (14.3%). Treatment included anthelmintic mediation (37%), radical/partial orchiectomy (31%), or some combination of the above. CONCLUSIONS: This systematic review of individual patient data reveals that while urine tests and imaging may aid in diagnosis, all patients require definitive histologic diagnosis. It is important to obtain a thorough history to elucidate exposure to endemic areas and inform whether biopsy, and subsequent testicular preservation, may be appropriate.

Axumin (18F-Fluciclovine) PET imaging in men exhibiting no clinically significant cancer on initial negative biopsy of PI-RADS 4 and 5 regions of interest.

PURPOSE: The objective of the study was to determine whether Axumin (18F-Fluciclovine) PET/MRI informs the decision to perform an early repeat biopsy of PI-RADS 4/5 region of interest (ROI) exhibiting no clinically significant prostate cancer (csPCa) on initial biopsy. METHODS: This prospective study enrolled men with at least one PI-RADS 4/5 ROI on multi-parametric MRI and no csPCa on prior biopsy defined as Gleason grade group (GGG) > 1. All men underwent an Axumin PET/MRI and only-persistent PI-RADS > 2 ROI were advised to undergo a repeat biopsy. A PET cancer suspicion score (PETCSS) was internally developed to stratify PET avid lesions according to their suspicion of harboring csPCa. The sensitivity, specificity, positive (PPV) and negative predictive value (NPV) of the PETCSS for predicting csPCa were assessed. Relative risk was calculated to analyze the association of baseline variables with csPCa on repeat biopsy. RESULTS: Thirty-eight ROI on 36 enrolled men were analyzed. Fourteen (36.8%) were downgraded to PI-RADS 1/2 and were not subjected to repeat biopsy. Thirteen (92.9%) of these downgraded scans also exhibited low-risk PETCSS. Overall, 18/22 (81.2%) subjects underwent a repeat per protocol biopsy. Of the 20 ROI subjected to repeat biopsy, eight (40%) were found to harbour csPCa. The sensitivity, specificity, PPV and NPV of the PETCSS were 50, 50, 40, and 60%, respectively. No predictor of csPCa was found in the risk analysis. CONCLUSION: Our pilot study showed that both MRI and PET sequences have limited performance for identifying those persistently suspicious PI-RADS 4/5 ROI that are found to harbor csPCa on repeat biopsy.

Machine learning decision support model for radical cystectomy discharge planning.

PURPOSE: Timely and appropriate discharge placement for patients who have undergone radical cystectomy (RC) remains challenging. Our objective was to improve the discharge planning process by creating a machine learning model that helps to predict the need for non-home hospital discharge to a higher level of care. MATERIALS AND METHODS: Patients undergoing elective radical cystectomy for bladder cancer from 2014-2019 were identified in the ACS-NSQIP database. A gradient boosted decision tree was trained on selected predischarge variables to predict discharge location, dichotomized into home and non-home. We used threshold-moving to calibrate model predictions and evaluated model performance on a testing set using receiver operating characteristic and precision recall curves. Model performance was further examined in subgroups of interest. RESULTS AND CONCLUSIONS: A total of 11,881 patients met inclusion criteria with a mean age of 68.6 years. 10.6% of patients undergoing RC had non-home discharges. Our model predicting non-home discharge achieved an area under the receiver operating characteristic curve of 0.80 and an average precision of 0.33. After threshold-moving, our model had a recall of 0.757 and a precision of 0.211. Top variables by importance were septic shock occurrence, ventilator-use greater than 48 hours, organ space surgical site infection and unplanned intubation. Our model shows strong performance in identifying patients who required non-home discharge to higher levels of care, outperforming commonly used clinical indices and prior work. Modern machine learning techniques may be applied to support more timely and appropriate clinical decision making.

A prospective study of cancer detection rates following early repeat imaging and biopsy of PI-RADS 4 and 5 regions of interest exhibiting no clinically significant prostate cancer on prior biopsy.

INTRODUCTION: We aimed to determine cancer detection rates following early repeat multiparametric magnetic resonance imaging (mpMRI) and biopsy of Prostate Imaging-Reporting and Data System (PI-RADS), v2.1 4 and 5 regions of interest (ROI) exhibiting no clinically significant prostate cancer (csPCa) on prior biopsy and to identify predictors for these missed csPCa. METHODS: Between January 2019 and August 2020, 36 men with 38 PI-RADS 4 or 5 ROI with no evidence of csPCa (defined as Gleason grade group [GGG] >1) on prior MRI fusion target biopsy (MRFTB) + systematic biopsy (SB) were invited to participate in the present prospective study. All men underwent repeat mpMRI and persistent PI-RADS >2 ROI were advised to undergo repeat MRFTB + SB. Cancer detection rates of any and csPCa were determined. Relative risk was calculated to analyze association of baseline variables with the finding of csPCa on repeat biopsy. RESULTS: Of the 38 initial PI-RADS 4 and 5 ROI, on followup mpMRI, 14 were downgraded to PI-RADS 1/2 and, per protocol, did not undergo repeat biopsy and; eight (33%), 12 (50%), and four (17%) were PI-RADS 3, 4, and 5, respectively. Of these 24 persistently suspicious mpMRI ROI, 20 (83%) underwent repeat biopsy and six (30%), six (30%), and eight (40%) were benign, GGG 1, and GGG >1, respectively. Only prostate-specific antigen ≥10 ng/mL was a predictor for missed csPCa. CONCLUSIONS: Our prospective study supports a recommendation for early repeat mpMRI of all PI-RADS 4 or 5 ROI exhibiting no csPCa, with repeat MRFTB + SB of persistent PI-RADS >2 ROI.

A workflow to generate patient-specific three-dimensional augmented reality models from medical imaging data and example applications in urologic oncology.

Augmented reality (AR) and virtual reality (VR) are burgeoning technologies that have the potential to greatly enhance patient care. Visualizing patient-specific three-dimensional (3D) imaging data in these enhanced virtual environments may improve surgeons' understanding of anatomy and surgical pathology, thereby allowing for improved surgical planning, superior intra-operative guidance, and ultimately improved patient care. It is important that radiologists are familiar with these technologies, especially since the number of institutions utilizing VR and AR is increasing. This article gives an overview of AR and VR and describes the workflow required to create anatomical 3D models for use in AR using the Microsoft HoloLens device. Case examples in urologic oncology (prostate cancer and renal cancer) are provided which depict how AR has been used to guide surgery at our institution.

Primary Robot-assisted Retroperitoneal Lymph Node Dissection for Men with Nonseminomatous Germ Cell Tumor: Experience from a Multi-institutional Cohort.

BACKGROUND: Primary robot-assisted retroperitoneal lymph node dissection (RA-RPLND) for men with nonseminomatous germ cell tumor (NSGCT) is an alternative to open RPLND for stage I and select stage II patients. OBJECTIVE: To report the complication rates and oncologic outcomes from a multi-institutional series, and to estimate reduction in chemotherapy by using upfront minimally invasive surgery. DESIGN, SETTING, AND PARTICIPANTS: A retrospective chart review of men undergoing primary robot-assisted RPLND between 2014 and 2019 in five institutions by eight urologists experienced in testis cancer and robotic surgery. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Variables such as demographic and clinicopathologic information, operative parameters and complication rates, oncologic outcomes, sexual recovery, and hospital length of stay were collected. Descriptive statistics are presented. RESULTS AND LIMITATIONS: Forty-nine patients were analyzed with a median follow-up of 15.0 mo (interquartile range 6.5-29.1 mo). Median operative time was 288 min, estimated blood loss was 100 ml, and lymph node yield was 32. Median length of stay was 1 d. There were nine postoperative complications, 44% (4/9) of which were Clavien grade 1. There were no Clavien grade IV complications. Twenty-one patients had metastatic NSGCT (42.8%), of whom nine (18.4%) received adjuvant chemotherapy. Four patients experienced recurrence (three out-of-field and one in-field recurrence). Limitations include the retrospective study design and various surgical techniques among surgeons. CONCLUSIONS: Primary robot-assisted RPLND for NSGCT can be performed safely, with low complication rates and acceptable oncologic outcomes reducing the need for chemotherapy. For a population in which compliance with surveillance is typically challenging, robot-assisted RPLND may improve quality of care and outcomes for patients with NSGCT. PATIENT SUMMARY: In experienced centers, robot-assisted retroperitoneal lymph node dissection can be performed safely with similar oncologic outcomes to an open approach, while providing an option that may reduce the need for chemotherapy.

Application of the PRECISION Trial Biopsy Strategy to a Contemporary Magnetic Resonance Imaging-Targeted Biopsy Cohort-How Many Clinically Significant Prostate Cancers are Missed?

PURPOSE: To demonstrate the generalizability of PRECISION findings and apply the PRECISION biopsy strategy to a contemporary cohort to characterize cancers missed by employing this strategy. MATERIALS AND METHODS: A total of 629 men biopsied between February 2015 and September 2018 met PRECISION inclusion criteria. Men with PI-RADS™ 1-2 magnetic resonance imaging were only biopsied if high clinical suspicion for cancer. Missed cancers were defined as prostate cancer identified uniquely on systematic biopsy in men with PI-RADS 3-5 magnetic resonance imaging, or on either systematic biopsy or magnetic resonance imaging-targeted prostate biopsy in men with PI-RADS 1-2 magnetic resonance imaging. Outcomes included 1) clinically significant prostate cancer, Gleason grade group 2 or greater, detection rate, 2) missed clinically significant prostate cancer rate upon application of PRECISION biopsy strategy, 3) Gleason grade group distribution, core size, spatial orientation and oncologic risk among missed cancers. RESULTS: Application of the PRECISION biopsy strategy to the study cohort resulted in avoidance of biopsy in 28%, similar magnetic resonance imaging-targeted prostate biopsy detection rate to PRECISION, reduction of Gleason grade group 1 detection rate by 60% and reduction of clinically significant prostate cancer detection rate by 19%. Missed clinically significant prostate cancers were often smaller than 6 mm (54.5%), Gleason grade group 2 (67.3%) and low risk by clinical nomogram (74.6%). Gleason grade group 1 cancers identified uniquely on systematic biopsy were often contralateral to magnetic resonance imaging target (46.4%), while missed clinically significant prostate cancer was predominantly ipsilateral (81%). Limitations include biopsy of only men with high risk clinical features among PI-RADS 1-2 magnetic resonance imaging, potentially overestimating the clinically significant prostate cancer detection rate. CONCLUSIONS: The study cohort demonstrated generalizability of PRECISION findings. Applying the PRECISION biopsy strategy greatly reduces Gleason grade group 1 detection rate, while missing a small number of clinically significant prostate cancer, typically small volume, low risk, and Gleason grade group 2. Missed clinically significant prostate cancer is predominantly ipsilateral to magnetic resonance imaging target, possibly representing targeting error.

MRI guided procedure planning and 3D simulation for partial gland cryoablation of the prostate: a pilot study.

PURPOSE: This study reports on the development of a novel 3D procedure planning technique to provide pre-ablation treatment planning for partial gland prostate cryoablation (cPGA). METHODS: Twenty men scheduled for partial gland cryoablation (cPGA) underwent pre-operative image segmentation and 3D modeling of the prostatic capsule, index lesion, urethra, rectum, and neurovascular bundles based upon multi-parametric MRI data. Pre-treatment 3D planning models were designed including virtual 3D cryotherapy probes to predict and plan cryotherapy probe configuration needed to achieve confluent treatment volume. Treatment efficacy was measured with 6 month post-operative MRI, serum prostate specific antigen (PSA) at 3 and 6 months, and treatment zone biopsy results at 6 months. Outcomes from 3D planning were compared to outcomes from a series of 20 patients undergoing cPGA using traditional 2D planning techniques. RESULTS: Forty men underwent cPGA. The median age of the cohort undergoing 3D treatment planning was 64.8 years with a median pretreatment PSA of 6.97 ng/mL. The Gleason grade group (GGG) of treated index lesions in this cohort included 1 (5%) GGG1, 11 (55%) GGG2, 7 (35%) GGG3, and 1 (5%) GGG4. Two (10%) of these treatments were post-radiation salvage therapies. The 2D treatment cohort included 20 men with a median age of 68.5 yrs., median pretreatment PSA of 6.76 ng/mL. The Gleason grade group (GGG) of treated index lesions in this cohort included 3 (15%) GGG1, 8 (40%) GGG2, 8 (40%) GGG3, 1 (5%) GGG4. Two (10%) of these treatments were post-radiation salvage therapies. 3D planning predicted the same number of cryoprobes for each group, however a greater number of cryoprobes was used in the procedure for the prospective 3D group as compared to that with 2D planning (4.10 ± 1.37 and 3.25 ± 0.44 respectively, p = 0.01). At 6 months post cPGA, the median PSA was 1.68 ng/mL and 2.38 ng/mL in the 3D and 2D cohorts respectively, with a larger decrease noted in the 3D cohort (75.9% reduction noted in 3D cohort and 64.8% reduction 2D cohort, p 0.48). In-field disease detection was 1/14 (7.1%) on surveillance biopsy in the 3D cohort and 3/14 (21.4%) in the 2D cohort, p = 0.056) In the 3D cohort, 6 month biopsy was not performed in 4 patients (20%) due to undetectable PSA, negative MRI, and negative MRI Axumin PET. For the group with traditional 2D planning, treatment zone biopsy was positive in 3/14 (21.4%) of the patients, p = 0.056. CONCLUSIONS: 3D prostate cancer models derived from mpMRI data provide novel guidance for planning confluent treatment volumes for cPGA and predicted a greater number of treatment probes than traditional 2D planning methods. This study prompts further investigation into the use of 3D treatment planning techniques as the increase of partial gland ablation treatment protocols develop.

Different models for prediction of radical cystectomy postoperative complications and care pathways.

BACKGROUND: Radical cystectomy for bladder cancer has one of the highest rates of morbidity among urologic surgery, but the ability to predict postoperative complications remains poor. Our study objective was to create machine learning models to predict complications and factors leading to extended length of hospital stay and discharge to a higher level of care after radical cystectomy. METHODS: Using the American College of Surgeons National Surgical Quality Improvement Program, peri-operative adverse outcome variables for patients undergoing elective radical cystectomy for bladder cancer from 2005 to 2016 were extracted. Variables assessed include occurrence of minor, infectious, serious, or any adverse events, extended length of hospital stay, and discharge to higher-level care. To develop predictive models of radical cystectomy complications, we fit generalized additive model (GAM), least absolute shrinkage and selection operator (LASSO) logistic, neural network, and random forest models to training data using various candidate predictor variables. Each model was evaluated on the test data using receiver operating characteristic curves. RESULTS: A total of 7557 patients were identified who met the inclusion criteria, and 2221 complications occurred. LASSO logistic models demonstrated the highest area under curve for predicting any complications (0.63), discharge to a higher level of care (0.75), extended length of stay (0.68), and infectious (0.62) adverse events. This was comparable with random forest in predicting minor (0.60) and serious (0.63) adverse events. CONCLUSIONS: Our models perform modestly in predicting radical cystectomy complications, highlighting both the complex cystectomy process and the limitations of large healthcare datasets. Identifying the most important variable leading to each type of adverse event may allow for further strategies to model cystectomy complications and target optimization of modifiable variables pre-operative to reduce postoperative adverse events.