Tag Archive for: Article of the Week

You are here: / Article of the Week

Posts

Video: Likert vs PI-RADS v2

/by

Likert vs PI‐RADS v2: a comparison of two radiological scoring systems for detection of clinically significant prostate cancer

Read the full article

Abstract

Objective

To compare the clinical validity and utility of Likert assessment and the Prostate Imaging Reporting and Data System (PI‐RADS) v2 in the detection of clinically significant and insignificant prostate cancer.

Patients and Methods

A total of 489 pre‐biopsy multiparametric magnetic resonance imaging (mpMRI) scans in consecutive patients were subject to prospective paired reporting using both Likert and PI‐RADS v2 by expert uro‐radiologists. Patients were offered biopsy for any Likert or PI‐RADS score ≥4 or a score of 3 with PSA density ≥0.12 ng/mL/mL. Utility was evaluated in terms of proportion biopsied, and proportion of clinically significant and insignificant cancer detected (both overall and on a ‘per score’ basis). In those patients biopsied, the overall accuracy of each system was assessed by calculating total and partial area under the receiver‐operating characteristic (ROC) curves. The primary threshold of significance was Gleason ≥3 + 4. Secondary thresholds of Gleason ≥4 + 3, Ahmed/UCL1 (Gleason ≥4 + 3 or maximum cancer core length [CCL] ≥6 or total CCL≥6) and Ahmed/UCL2 (Gleason ≥3 + 4 or maximum CCL ≥4 or total CCL ≥6) were also used.

Results

The median (interquartile range [IQR]) age was 66 (60–72) years and the median (IQR) prostate‐specific antigen level was 7 (5–10) ng/mL. A similar proportion of men met the biopsy threshold and underwent biopsy in both groups (83.8% [Likert] vs 84.8% [PI‐RADS v2]; P = 0.704). The Likert system predicted more clinically significant cancers than PI‐RADS across all disease thresholds. Rates of insignificant cancers were comparable in each group. ROC analysis of biopsied patients showed that, although both scoring systems performed well as predictors of significant cancer, Likert scoring was superior to PI‐RADS v2, exhibiting higher total and partial areas under the ROC curve.

Conclusions

Both scoring systems demonstrated good diagnostic performance, with similar rates of decision to biopsy. Overall, Likert was superior by all definitions of clinically significant prostate cancer. It has the advantages of being flexible, intuitive and allowing inclusion of clinical data. However, its use should only be considered once radiologists have developed sufficient experience in reporting prostate mpMRI.

 

View more videos

Article of the month: Exercise‐induced attenuation of treatment side‐effects in patients with newly diagnosed PCa beginning androgen‐deprivation therapy: a randomised controlled trial

/by

Every month, the Editor-in-Chief selects an Article of the Month from the current issue of BJUI. The abstract is reproduced below and you can click on the button to read the full article, which is freely available to all readers for at least 30 days from the time of this post.

In addition to the article itself, there is an editorial written by a prominent member of the urology community, a video prepared by the authors and a visual abstract providing a graphical representation of the article; we invite you to use the comment tools at the bottom of each post to join the conversation. 

If you only have time to read one article this week, we recommend this one.

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

Wilphard Ndjavera*, Samuel T. Orange†, Alasdair F. O’Doherty†, Anthony S. Leicht‡, Mark Rochester*, Robert Mills* and John M. Saxton†§

*Department of Urology, Norfolk and Norwich University Hospital, Norwich, UK, †Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK, ‡Sport and Exercise Science, College of Healthcare Sciences, James Cook University, Townsville, QLD, Australia and §Norwich Medical School, Faculty of Medicine and Health Sciences, Norwich Research Park, University of East Anglia, Norwich, UK

Read the full article

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).

Table 2 Outcomes at baseline, 3- and 6-months.

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.

Read more Articles of the week

 

Editorial: The benefits of regular exercise

/by

January is the month when we wish each other happiness and success for the year ahead. It is also the month when many are recovering from the excesses of the festive season. This is the time when gyms and diets become popular again with offers of reduced rates to attract customers. For Londoners the spring marathon is not far away and you often see runners training in different parks despite the cold weather and icy routes.

If you think this year is the one where you are about to start going to the gym, then we recommend you the best shake for post workout to add extra point to your routine.

Is this just a temporary fad? Or is there truly some benefit to be had by exercising regularly?

Over the past few years, we have published several papers showing clear associations between metabolic syndrome and LUTS, and the benefits of preoperative optimisation with diet and exercise prior to major urological surgery. In this issue of the BJUI, we present a small but well‐designed randomised controlled trial on the benefits of exercise in attenuating the treatment side‐effects in patients with newly diagnosed prostate cancer starting on androgen‐deprivation therapy [1]. It is an example of collaborative working between Urologists and experts on Sport, Exercise and Rehabilitation therapy. The authors clearly demonstrate that a short‐term programme of supervised exercise results in improvements in quality of life and cardiovascular risk profile in patients on hormonal therapy. Even after the supervised exercise was withdrawn and followed by self‐directed exercise, the benefits continued as compared to the control group.

As Urologists, we can help our patients in this journey by adopting a more active lifestyle ourselves. Inspired by Fiona Godlee’s article in the BMJ [2], I have started printing it and actually handing it/e‐mailing it to my patients. The paper describes physical activity as ‘The miracle cure’ with very few side‐effects. Any level of activity is better than none and a gentle start usually avoids an unexpected injury.

There is no better time to lead by example this New Year!

by Prokar Dasgupta

References

  1. Ndjevera W, Orange ST, O’Doherty AF et al. Exercise‐induced attenuation of treatment side‐effects in patients with newly diagnosed prostate cancer beginning androgen‐deprivation therapy: a randomised controlled trial. BJU Int 2019: 125; 28-37.
  2. Godlee F. The miracle cure. BMJ 2019; 366: l5605.

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

/by

Maria Uloko is a Urology Resident at the University of Minnesota Hospital. In this podcast she discusses a recent Article of the week:

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

Read the full article

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.

More podcasts

BJUI Podcasts are available on iTunes: https://itunes.apple.com/gb/podcast/bju-international/id1309570262

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

/by

Every week, the Editor-in-Chief selects an Article of the Week from the current issue of BJUI. The abstract is reproduced below and you can click on the button to read the full article, which is freely available to all readers for at least 30 days from the time of this post.

In addition to the article itself, there is an editorial written by a prominent member of the urology community and a video prepared by the authors; we invite you to use the comment tools at the bottom of each post to join the conversation. 

If you only have time to read one article this week, it should be this one. Happy New Year!

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

Ahrang Jung*†, Matthew E. Nielsen*‡, Jamie L. Crandell†, Mary H. Palmer†, Sophia K. Smith§, Ashley Leak Bryant*† and Deborah K. Mayer*†

*Lineberger Comprehensive Cancer Center,  †School of Nursing, ‡School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, and  §School of Nursing, Duke University, Durham, NC, USA

Read the full article

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, which include the use of hemp products from the Hemp Seed distributor business which specialize in this. 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. To read the full article check nican .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.

Read more Articles of the week

Editorial: Beyond bladder cancer surveillance: building a survivorship clinic

/by

As oncologists, we focus on obtaining the best cancer outcomes possible. The aim of treatment is to maximize survival and help patients live longer. As therapies continue to become more effective, more patients will become survivors. In the ongoing effort to extend the quantity of life left for our patients facing lethal cancers, thinking about the quality of that time is key. For urological oncologists, patients with a new bladder cancer diagnosis will someday face a new set of obstacles as survivors. In addition to surveillance and scans, asking patients about other issues such as their mental health, sexual function and financial solvency are also important.
Regardless of cancer stage, these issues apply to all of our patients with bladder cancer. Patients with non-muscle invasive disease need a seemingly interminable number of cystoscopies, with possible repeat biopsies or intravesical therapies. Patients with muscle-invasive disease undergo urinary diversion that entails significant changes as they will then have a stoma, neobladder or other diversion.
In this issue of BJUI, Jung et al. present a ‘snapshot’ of patients in North Carolina with bladder cancer that examines the impact of treatment on quality of life [1].  The study is valuable because it involves a number of topics that have previously not been studied in such detail. A total of 376 patients returned mailed surveys, a response rate of 24%. Most participants were on average 3 years from their diagnosis, the mean age of participants was 72 years, and the majority of patients were white men. Most participants (approximately three in four) had undergone transurethral resection of bladder tumour as the primary treatment and some (one in three) had received intravesical therapy. As with any work, there are some limitations which include the low overall numbers of participants, low
response rate, and lack of longitudinal data. Despite these limitations, there is still value to studying trends in this space, given the paucity of available data, and the authors offer some valuable insights. This paper provides evidence that for bladder cancer survivorship care, it is important to realize that other important issues exist and impact patient well-being.

• Bladder cancer patients may have financial issues. Bladder cancer patients may face financial toxicity that is in part attributable to the regular need for surveillance in order to identify recurrence or progression of disease.
• Cystectomy recovery can include discussions about sexual function. Patients who have undergone cystectomy may have discomfort with sexual intimacy. This was more common in men. Non-cystectomy patients may have better sexual function. Patients may be concerned about contaminating partners.
• Quality-of-life issues for bladder cancer patients can vary by gender. Men may have better sexual function and enjoyment than women, but also have more discomfort with intimacy and fears of contaminating their partners, while women may have higher levels of constipation and diarrhoea.
• Low risk bladder cancer (vs high risk) can have lower impact on quality of life. Patients with Ta disease had the highest global health status (compared with T1 and Tis). They also had the best physical and social functioning and less fatigue and financial problems. This underscores that Ta disease is different from other stages. As the authors point out, this may be attributable to a low progression risk, which means patients are less likely to need intravesical therapy.
• Sexual health can be affected and improve with time after a bladder cancer diagnosis. Sexual issues can last for years after a diagnosis. Men may face erection or ejaculation problems, and women may have vaginal dryness issues. With time, however, sexual function can improve and sexual function (including extent of sexual activity and interest in sex) was better in survivors further from their diagnosis.

Moving forward, we can use this study to prompt us to think about how our treatments impact our patients. Setting up dedicated survivorship clinics may be one practical strategy to provide this care in a systematic and streamlined way. Beyond treatment-related issues such as recurrence and progression, patients are affected in other ways. Issues with overall health, mental well-being, sleep, or sexual function occur for many. Setting up a standardized approach to cancer care can complement oncological surveillance and promote patient-centred care. A dedicated team, with a provider and physician assistant can create a clinical infrastructure and design a comprehensive template to remind us to query patients on a broader range of issues relevant to their recovery. In doing so, we can help patients with bladder cancer recover, as survivors (Fig. 1).

 

Fig. 1 Select aspects of building a bladder cancer survivorship clinic.

Start by establishing a focused team of providers to help guide more streamlined care
• Nurses, nurse practitioners, physician assistants and physicians can be involved
• Each institution may have a unique infrastructure and use a distinct team set-up to create a clinic
• Administrative support and guidance are important to determine the clinical resources necessary or needed to begin a regular survivorship clinic

Streamline care and consider a template-based or guideline-driven approach to visits
• Based on stage of diagnosis, certain patients may need more regular cystoscopic surveillance while other patients will need follow-up visits that are coordinated with medical oncology and/or radiation oncology

Standardize collection of patient-reported outcomes during follow up visits
• Mental well-being
• Physical activity and exercise
• Sexual health
• Urinary and bowel function
• Financial well-being

Step back to evaluate the progress and iteratively troubleshoot issues as they arise
• Collect patient feedback and provider opinions
• Integrate these insights to improve the form and function of the clinic

by Matthew Mossanen and Stephen L. Chang

Reference

  1. Jung A, Nielsen ME, Crandell JL, et al. Health-related quality of life among non-muscle-invasive bladder cancer survivors: a population-based study. BJU Int 2020; 125: 38–48

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

/by

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

Read the full article

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.

View more videos

 

Article of the week: A machine learning‐assisted decision‐support model to better identify patients with PCa requiring an extended pelvic lymph node dissection

/by

Every week, the Editor-in-Chief selects an Article of the Week from the current issue of BJUI. The abstract is reproduced below and you can click on the button to read the full article, which is freely available to all readers for at least 30 days from the time of this post.

In addition to the article itself, there is an editorial written by a prominent member of the urology community and a video prepared by the authors; we invite you to use the comment tools at the bottom of each post to join the conversation. 

If you only have time to read one article this week, it should be this one. Merry Christmas!

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

Ying Hou*, Mei-Ling Bao†, Chen-Jiang Wu*, Jing Zhang*, Yu-Dong Zhang* and Hai-Bin Shi*

*Department of Radiology and †Department of Pathology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu Province, China

Read the full article

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 Sloan Kettering 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.

 

Read more Articles of the week

Editorial: A better way to predict lymph node involvement using machine learning?

/by

In their study in this issue of BJUI, Hou et al. [1] use machine‐learning algorithms to evaluate several preoperative clinical variables (highlighting specific MRI findings of locally advanced prostate cancer) to determine whether lymph node involvement (LNI) could be present during radical prostatectomy, which would justify an extended pelvic lymph node dissection (PLND). This is a well‐designed study with scientific rigour, providing evidence‐based justifications and definitions (i.e. of relevant MRI findings). The authors successfully illustrate a practical application of using artificial intelligence (AI) methods to augment clinical decision‐making prior to and during surgery compared to today’s ‘gold standard’ (nomograms).

For many years, the Memorial Sloan Kettering Cancer Centre (MSKCC) nomogram, among a number of predictive models, has been used to determine the probability of LNI. The output of these tools has assisted surgeons in determining whether to perform a PLND, and if so, to what extent [2,3,4]. The authors hypothesize that, with additional MRI parameters not previously used, machine‐learning algorithms can better select which patients are more likely to have LNI and will therefore require extended PLND. In fact, the authors report that the MSKCC nomogram and conventional MRI reporting of LNI consistently underestimated LNI risk compared to the machine‐learning‐assisted models presented in their study. The outputs of the present models would allow a higher number of extended PLNDs to be spared compared to reliance on the MSKCC nomogram alone. It was appropriate to use several existing AI models in this study, as it is never readily apparent initially which existing predictive model may perform best with a given dataset. In fact, all the models used – logistic regression (LR), support vector machine (SVM) and random forest (RF) – while similar in performance to each other, outperformed the MSKCC nomogram (P < 0.001). Many adjustments were probably performed for each model to tailor it to the dataset and optimize prediction performance.

Criticisms of the study are that: (i) cases for which PLND was not performed were excluded, which could have created a selection bias; (ii) the model would only be applicable when the patient has undergone MRI; (iii) the study was conducted at a single institution in a small sample (AI methods thrive on big and diverse datasets).

This study by Hou et al. is a great example of a machine‐learning application that may positively impact clinical practice. For many years, we have relied on nomograms, but with increasing use of MRI, additional factors should also be included, as Hou et al. have done. Machine‐learning is particularly adept at simultaneously examining numerous variables to elicit which ones may contribute best to a particular outcome. As BJUI has evaluated many manuscripts examining machine‐learning methods for clinical decision‐making in the past year, we have encouraged authors to use present‐day gold standard methods, such as the MSKCC nomogram, as controls [5]. As we embrace AI methods, we must keep one eye on the tried and tested conventional ways. This ensures that we do not take backward steps but rather take forward steps responsibly. Similarly to recent AI studies published in the BJUI, the sample size in this study was relatively small. External validation in a multicentre study on larger datasets is highly recommended.

by Andrew J. Hung

References

  1. Hou Y, Bao M, Wu CJ, Zhang J, Zhang YD, Shi HB. A machine learning‐assisted decision support model with mri can better spare the extended pelvic lymph node dissection at cost of less missing in prostate cancer. BJU Int 2019; 124: 972– 83
  2. Briganti A, Larcher A, Abdollah F et al. Updated nomogram predicting lymph node invasion in patients with prostate cancer undergoing extended pelvic lymph node dissection: the essential importance of percentage of positive cores. Eur Urol 2012; 61: 480– 7
  3. Memorial Sloan Kettering Cancer Center. Dynamic prostate cancer nomogram: coefficients. Accessed April 2018
  4. Tosoian JJ, Chappidi M, Feng Z et al. Prediction of pathological stage based on clinical stage, serum prostate-specific antigen, and biopsy Gleason score: Partin Tables in the contemporary era. BJU Int 2017; 119: 676– 83
  5. Hung AJ. Can machine‐learning algorithms replace conventional statistics? BJU Int 2018; 123: 1

 

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

/by

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

Read the full article

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.

View more videos
© 2024 BJU International. All Rights Reserved.