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Video: Exercise‐induced attenuation of treatment side‐effects in patients with newly diagnosed PCa beginning androgen‐deprivation therapy

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Exercise‐induced attenuation of treatment side‐effects in patients with newly diagnosed prostate cancer beginning androgen‐deprivation therapy: a randomised controlled trial

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Abstract

Objectives

(i) To assess whether exercise training attenuates the adverse effects of treatment in patients with newly diagnosed prostate cancer beginning androgen‐deprivation therapy (ADT), and (ii) to examine whether exercise‐induced improvements are sustained after the withdrawal of supervised exercise.

Patients and Methods

In all, 50 patients with prostate cancer scheduled for ADT were randomised to an exercise group (n = 24) or a control group (n = 26). The exercise group completed 3 months of supervised aerobic and resistance exercise training (twice a week for 60 min), followed by 3 months of self‐directed exercise. Outcomes were assessed at baseline, 3‐ and 6‐months. The primary outcome was difference in fat mass at 3‐months. Secondary outcomes included: fat‐free mass, cardiopulmonary exercise testing variables, QRISK®2 (ClinRisk Ltd, Leeds, UK) score, anthropometry, blood‐borne biomarkers, fatigue, and quality of life (QoL).

Results

At 3‐months, exercise training prevented adverse changes in peak O2 uptake (1.9 mL/kg/min, P = 0.038), ventilatory threshold (1.7 mL/kg/min, P = 0.013), O2 uptake efficiency slope (0.21, P = 0.005), and fatigue (between‐group difference in Functional Assessment of Chronic Illness Therapy‐Fatigue score of 4.5 points, P = 0.024) compared with controls. After the supervised exercise was withdrawn, the differences in cardiopulmonary fitness and fatigue were not sustained, but the exercise group showed significantly better QoL (Functional Assessment of Cancer Therapy‐Prostate difference of 8.5 points, P = 0.034) and a reduced QRISK2 score (−2.9%, P = 0.041) compared to controls.

Conclusion

A short‐term programme of supervised exercise in patients with prostate cancer beginning ADT results in sustained improvements in QoL and cardiovascular events risk profile.

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Video: Health-related quality of life among non‐muscle‐invasive bladder cancer survivors

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Health‐related quality of life among non‐muscle‐invasive bladder cancer survivors: a population‐based study

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Abstract

Objective

To examine the effect of non‐muscle‐invasive bladder cancer (NMIBC) diagnosis and treatment on survivors’ quality of life (QoL).

Patients and Methods

Of the 5979 patients with NMIBC diagnosed between 2010 and 2014 in North Carolina, 2000 patients were randomly selected to be invited to enroll in this cross‐sectional study. Data were collected by postal mail survey. The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire‐Core (QLQ‐C30) and the NMIBC‐specific module were included in the survey to measure QoL. Descriptive statistics, t‐tests, anova, and Pearson’s correlation were used to describe demographics and to assess how QoL varied by sex, cancer stage, time since diagnosis, and treatment.

Results

A total of 398 survivors returned questionnaires (response rate: 23.6%). The mean QoL score for QLQ‐C30 (range 0–100, higher = better QoL in all domains but symptoms) for global health status was 73.6, function domain scores ranged from 83.9 to 86.5, and scores for the top five symptoms (insomnia, fatigue, dyspnoea, pain, and financial difficulties) ranged from 14.1 to 24.3. The lowest NMIBC‐specific QoL domain was sexual issues including sexual function, enjoyment, problems, and intimacy. Women had worse bowel problems, sexual function, and sexual enjoyment than men but better sexual intimacy and fewer concerns about contaminating their partner. Stage Ta had the highest global health status, followed by T1 and Tis. QoL did not vary by time since diagnosis except for sexual function. The cystectomy group (n = 21) had worse QoL in sexual function, discomfort with sexual intimacy, sexual enjoyment, and male sexual problems than the non‐cystectomy group (n = 336).

Conclusion

Survivors of NMIBC face a unique burden associated with their diagnosis and the often‐lifelong surveillance and treatment regimens. The finding has important implications for the design of tailored supportive care interventions to improve QoL for NMIBC survivors.

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Video: Machine learning‐assisted decision‐support model to identify PCa patients requiring an extended PLND

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A machine learning‐assisted decision‐support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection

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Abstract

Objectives

To develop a machine learning (ML)‐assisted model to identify candidates for extended pelvic lymph node dissection (ePLND) in prostate cancer by integrating clinical, biopsy, and precisely defined magnetic resonance imaging (MRI) findings.

Patients and Methods

In all, 248 patients treated with radical prostatectomy and ePLND or PLND were included. ML‐assisted models were developed from 18 integrated features using logistic regression (LR), support vector machine (SVM), and random forests (RFs). The models were compared to the Memorial SloanKettering Cancer Center (MSKCC) nomogram using receiver operating characteristic‐derived area under the curve (AUC) calibration plots and decision curve analysis (DCA).

Results

A total of 59/248 (23.8%) lymph node invasions (LNIs) were identified at surgery. The predictive accuracy of the ML‐based models, with (+) or without (−) MRI‐reported LNI, yielded similar AUCs (RFs+/RFs−: 0.906/0.885; SVM+/SVM−: 0.891/0.868; LR+/LR−: 0.886/0.882) and were higher than the MSKCC nomogram (0.816; P < 0.001). The calibration of the MSKCC nomogram tended to underestimate LNI risk across the entire range of predicted probabilities compared to the ML‐assisted models. The DCA showed that the ML‐assisted models significantly improved risk prediction at a risk threshold of ≤80% compared to the MSKCC nomogram. If ePLNDs missed was controlled at <3%, both RFs+ and RFs− resulted in a higher positive predictive value (51.4%/49.6% vs 40.3%), similar negative predictive value (97.2%/97.8% vs 97.2%), and higher number of ePLNDs spared (56.9%/54.4% vs 43.9%) compared to the MSKCC nomogram.

Conclusions

Our ML‐based model, with a 5–15% cutoff, is superior to the MSKCC nomogram, sparing ≥50% of ePLNDs with a risk of missing <3% of LNIs.

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Video: Role of extended venous thromboembolism prophylaxis for major urological cancer operations

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The role of extended venous thromboembolism prophylaxis for major urological cancer operations

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Abstract

Objectives

Venous thromboembolism (VTE), consisting of both pulmonary embolism (PE) and deep vein thromboses (DVT), remains a well‐recognised complication of major urological cancer surgery. Several international guidelines recommend extended thromboprophylaxis (ETP) with LMWH, whereby the period of delivery is extended to the post‐discharge period, where the majority of VTE occurs. In this literature review we investigate whether ETP should be indicated for all patients undergoing major urological cancer surgery, as well as procedure specific data that may influence a clinician’s decision.

Methods

We performed a search of six databases (PubMed, Cochrane, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, and British Nursing Index (BNI)) from inception to June 2019, for studies looking at adult patients who received VTE prophylaxis after surgery for a major urological malignancy.

Results

Eighteen studies were analysed. VTE risk is highest in open and robotic Radical Cystectomy (RC) (2.6–11.6%) and ETP demonstrates a significant reduction in risk of VTE, but not a significant difference in Pulmonary Embolism (PE) or mortality. Risk of VTE in open Radical Prostatectomy (RP) (0.8–15.7%) is comparable to RC, but robotic RP (0.2–0.9%), open partial/radical nephrectomy (1.0–4.4%) and robotic partial/radical nephrectomy (0.7–3.9%) were lower risk. It has not been shown that ETP reduces VTE risk specifically for RP or nephrectomy.

Conclusion

The decision to use ETP is a fine balance between variables such as VTE incidence, bleeding risk and perioperative morbidity/mortality. This balance should be assessed for each specific procedure type. While ETP still remains of net benefit for open RP as well as open and robotic RC, the balance is closer for minimally invasive RP as well as radical and partial nephrectomy. Due to a lack of procedure specific evidence for the use of ETP, adherence with national guidelines remains poor. Therefore, we advocate further studies directly comparing ETP vs standard prophylaxis, for specific procedure types, in order to allow clinicians to make a more informed decision in future.

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Video: Three‐dimensional virtual imaging of renal tumours: a new tool to improve the accuracy of nephrometry scores

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Three‐dimensional virtual imaging of renal tumours: a new tool to improve the accuracy of nephrometry scores

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Abstract

Objectives

To apply the standard PADUA and RENAL nephrometry score variables to three‐dimensional (3D) virtual models (VMs) produced from standard bi‐dimensional imaging, thereby creating three‐dimensional (3D)‐based (PADUA and RENAL) nephrometry scores/categories for the reclassification of the surgical complexity of renal masses, and to compare the new 3D nephrometry score/category with the standard 2D‐based nephrometry score/category, in order to evaluate their predictive role for postoperative complications.

Materials and Methods

All patients with localized renal tumours scheduled for minimally invasive partial nephrectomy (PN) between September 2016 and September 2018 underwent 3D and 2D nephrometry score/category assessments preoperatively. After nephrometry score/category evaluation, all the patients underwent surgery. Chi‐squared tests were used to evaluate the individual patients’ grouping on the basis of the imaging tool (3D VMs and 2D imaging) used to assess the nephrometry score/category, while Cohen’s κ coefficient was used to test the concordance between classifications. Receiver‐operating characteristic curves were produced to evaluate the sensitivity and specificity of the 3D nephrometry score/category vs the 2D nephrometry score/category in predicting the occurrence of postoperative complications. A general linear model was used to perform multivariable analyses to identify predictors of overall and major postoperative complications.

Results

A total of 101 patients were included in the study. The evaluation of PADUA and RENAL nephrometry scores via 3D VMs showed a downgrading in comparison with the same scores evaluated with 2D imaging in 48.5% and 52.4% of the cases. Similar results were obtained for nephrometry categories (29.7% and 30.7% for PADUA risk and RENAL complexity categories, respectively). The 3D nephrometry score/category demonstrated better accuracy than the 2D nephrometry score/category in predicting overall and major postoperative complications (differences in areas under the curve for each nephrometry score/category were statistically significant comparing the 3D VMs with 2D imaging assessment). Multivariable analyses confirmed 3D PADUA/RENAL nephrometry category as the only independent predictors of overall (P = 0.007; P = 0.003) and major postoperative complications (P = 0.03; P = 0.003).

Conclusions

In the present study, we showed that 3D VMs were more precise than 2D standard imaging in evaluating the surgical complexity of renal masses according to nephrometry score/category. This was attributable to a better perception of tumour depth and its relationships with intrarenal structures using the 3D VM, as confirmed by the higher accuracy of the 3D VM in predicting postoperative complications.

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Video: Cost–utility analysis of focal HIFU vs AS for low‐ to intermediate‐risk prostate cancer using a Markov multi‐state model

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Cost–utility analysis of focal high‐intensity focussed ultrasound vs active surveillance for low‐ to intermediate‐risk prostate cancer using a Markov multi‐state model

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Abstract

Objectives

To estimate the relative cost‐effectiveness of focal high‐intensity focussed ultrasound (F‐HIFU) compared to active surveillance (AS) in patients with low‐ to intermediate‐risk prostate cancer, in France.

Patients and Methods

A Markov multi‐state model was elaborated for this purpose. Our analyses were conducted from the French National Health Insurance perspective, with a time horizon of 10 years and a 4% discount rate for cost and effectiveness. A secondary analysis used a 30‐year time horizon. Costs are presented in 2016 Euros (€), and effectiveness is expressed as quality‐adjusted life years (QALYs). Model parameters’ value (probabilities for transitions between health states, and cost and utility of health states) is supported by systematic literature reviews (PubMed) and random effect meta‐analyses. The cost of F‐HIFU in our model was the temporary tariff attributed by the French Ministry of Health to the overall treatment of prostate cancer by HIFU (€6047).

Our model was analysed using Microsoft Excel 2010 (Microsoft Corp., Redmond, WA, USA). Uncertainty about the value of the model parameters was handled through probabilistic analyses.

Results

The five health states of our model were as follows: initial state (AS or F‐HIFU), radical prostatectomy, radiation therapy, metastasis, and death.

Transition probabilities from the initial F‐HIFU state relied on four articles eligible for our meta‐analyses. All were non‐comparative studies. Utilities relied on a single cohort in San Diego, CA, USA.

For a fictive cohort of 1000 individuals followed for 10 years, F‐HIFU would be €207 520 more costly and would yield 382 less QALYs than AS, which means that AS is cost‐effective when compared to F‐HIFU. For a threshold value varying from €0 to 100 000/QALY, the probability of AS being cost‐effective compared to F‐HIFU varied from 56.5% to 60%. This level of uncertainty was in the same range with a 30‐year time horizon.

Conclusion

Given existing published data, our results suggest that AS is cost‐effective compared to F‐HIFU in patients with low‐ and intermediate‐risk prostate cancer, but with high uncertainty. This uncertainty must be scaled down by continuing to supply the model with new published data and ideally through a randomised clinical trial that includes cost‐effectiveness analyses.

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Video: Use of mpMRI and fusion‐guided biopsies to properly select and follow African‐American men on active surveillance

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Use of multiparametric magnetic resonance imaging and fusion‐guided biopsies to properly select and follow African‐American men on active surveillance

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Abstract

Objectives

To determine the rate of Gleason Grade Group (GGG) upgrading in African‐American (AA) men with a prior diagnosis of low‐grade prostate cancer (GGG 1 or GGG 2) on 12‐core systematic biopsy (SB) after multiparametric magnetic resonance imaging (mpMRI) and fusion biopsy (FB); and whether AA men who continued active surveillance (AS) after mpMRI and FB fared differently than a predominantly Caucasian (non‐AA) population.

Patients and methods

A database of men who had undergone mpMRI and FB was queried to determine rates of upgrading by FB amongst men deemed to be AS candidates based on SB prior to referral. After FB, Kaplan–Meier curves were generated for AA men and non‐AA men who then elected AS. The time to GGG upgrading and time continuing AS were compared using the log‐rank test.

Results

AA men referred with GGG 1 disease on previous SB were upgraded to GGG ≥3 by FB more often than non‐AA men, 22.2% vs 12.7% (P = 0.01). A total of 32 AA men and 258 non‐AA men then continued AS, with a median (interquartile range) follow‐up of 39.19 (24.24–56.41) months. The median time to progression was 59.7 and 60.5 months, respectively (P = 0.26). The median time continuing AS was 61.9 months and not reached, respectively (P = 0.80).

Conclusions

AA men were more likely to be upgraded from GGG 1 on SB to GGG ≥3 on initial FB; however, AA and non‐AA men on AS subsequently progressed at similar rates following mpMRI and FB. A greater tendency for SB to underestimate tumour grade in AA men may explain prior studies that have shown AA men to be at higher risk of progression during AS.

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Video: mpMRI and follow-up to avoid prostate biopsy in 4259 men

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Multiparametric magnetic resonance imaging and follow-up to avoid prostate biopsy in 4259 men

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Abstract

Objective

To determine the proportion of men avoiding biopsy because of negative multiparametric magnetic resonance imaging (mpMRI) findings in a prostate MRI expert centre, and to assess the number of clinically significant prostate cancers (csPCa) detected during follow‐up.

Patients and methods

Retrospective study of 4259 consecutive men having mpMRI of the prostate between January 2012 and December 2017, with either a history of previous negative transrectal ultrasonography‐guided biopsy or biopsy naïve. Patients underwent mpMRI in a referral centre. Lesions were classified according to Prostate Imaging Reporting And Data System (PI‐RADS) versions 1 and 2. Negative mpMRI was defined as an index lesion PI‐RADS ≤2. Follow‐up until 13 October 2018 was collected by searching the Dutch Pathology Registry (PALGA). Gleason score ≥3 + 4 was considered csPCa. Kaplan–Meier analysis and univariable logistic regression models were used in the cohort of patients with negative mpMRI and follow‐up.

Results

Overall, in 53.6% (2281/4259) of patients had a lesion classified as PI‐RADS ≤2. In 320 patients with PI‐RADS 1 or 2, follow‐up mpMRI was obtained after a median (interquartile range) of 57 (41–63) months. In those patients, csPCa diagnosis‐free survival (DFS) was 99.6% after 3 years. Univariable logistic regression analysis revealed age as a predictor for csPCa during follow‐up (P < 0.05). In biopsied patients, csPCa was detected in 15.8% (19/120), 43.2% (228/528) and 74.5% (483/648) with PI‐RADS 3, 4 and 5, respectively.

Conclusion

More than half of patients having mpMRI of the prostate avoided biopsy. In those patients, csPCa DFS was 99.6% after 3 years.

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Video: The global prevalence of erectile dysfunction

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The global prevalence of erectile dysfunction: a review

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Abstract

Objective

To evaluate the global prevalence of erectile dysfunction (ED); as well as its association with physiological and pathological ageing by examining the relationship between ED and cardiovascular disease (CVD), benign prostatic hyperplasia (BPH), and dementia. We also aimed to characterise discrepancies caused by the use of different ED screening tools.

Methods

The Excerpta Medica dataBASE (EMBASE) and Medical Literature Analysis and Retrieval System Online (MEDLINE) were searched to find population‐based studies investigating the prevalence of ED and the association between ED and CVD, BPH, and dementia in the general population.

Results

The global prevalence of ED was 3–76.5%. ED was associated with increasing age. Use of the International Index of Erectile Function (IIEF) and Massachusetts Male Aging Study (MMAS)‐derived questionnaire identified a high prevalence of ED in young men. ED was positively associated with CVD. Men with ED have an increased risk of all‐cause mortality odds ratio (OR) 1.26 (95% confidence interval [CI] 1.01–1.57), as well as CVD mortality OR 1.43 (95% CI 1.00–2.05). Men with ED are 1.33–6.24‐times more likely to have BPH then men without ED, and 1.68‐times more likely to develop dementia than men without ED.

Conclusion

ED screening tools in population‐based studies are a major source of discrepancy. Non‐validated questionnaires may be less sensitive than the IIEF and MMAS‐derived questionnaire. ED constitutes a large burden on society given its high prevalence and impact on quality of life, and is also a risk factor for CVD, dementia, and all‐cause mortality.

 

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Video: Current status of artificial intelligence applications in urology

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Current status of artificial intelligence applications in urology and their potential to influence clinical practice

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Abstract

Objective

To investigate the applications of artificial intelligence (AI) in diagnosis, treatment and outcome prediction in urologic diseases and evaluate its advantages over traditional models and methods.

Materials and methods

A literature search was performed after PROSPERO registration (CRD42018103701) and in compliance with Preferred Reported Items for Systematic Reviews and Meta‐Analyses (PRISMA) methods. Articles between 1994 and 2018 using the search terms “urology”, “artificial intelligence”, “machine learning” were included and categorized by the application of AI in urology. Review articles, editorial comments, articles with no full‐text access, and non-urologic studies were excluded.

Results

Initial search yielded 231 articles, but after excluding duplicates and following full‐text review and examination of article references, only 111 articles were included in the final analysis. AI applications in urology include: utilizing radiomic imaging or ultrasonic echo data to improve or automate cancer detection or outcome prediction, utilizing digitized tissue specimen images to automate detection of cancer on pathology slides, and combining patient clinical data, biomarkers, or gene expression to assist disease diagnosis or outcome prediction. Some studies employed AI to plan brachytherapy and radiation treatments while others used video based or robotic automated performance metrics to objectively evaluate surgical skill. Compared to conventional statistical analysis, 71.8% of studies concluded that AI is superior in diagnosis and outcome prediction.

Conclusion

AI has been widely adopted in urology. Compared to conventional statistics AI approaches are more accurate in prediction and more explorative for analyzing large data cohorts. With an increasing library of patient data accessible to clinicians, AI may help facilitate evidence‐based and individualized patient care.

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