Diagnostic Accuracy of Predictive Models in Prostate Cancer: A Systematic Review and Meta-Analysis

Aim

Accurate diagnosis of prostate cancer (PCa) has a fundamental role in clinical and patient care. Recent advances in diagnostic testing and marker lead to standardized interpretation and increased prescription by clinicians to improve the detection of clinically significant PCa and select patients who strictly require targeted biopsies.

Methods

In this study, we present a systematic review of the overall diagnostic accuracy of each testing panel regarding the panel details. In this meta-analysis, using a structured search, Web of Science and PubMed databases were searched up to 23 September 2019 with no restrictions and filters. The study's outcome was the AUC and 95% confidence interval of prediction models. This index was reported as an overall and based on the WHO region and models with/without MRI.

Results

The thirteen final articles included 25,691 people. The overall AUC and 95% CI in thirteen studies were 0.78 and 95% CI: 0.73–0.82. The weighted average AUC in the countries of the Americas region was 0.73 (95% CI: 0.70–0.75), and in European countries, it was 0.80 (95% CI: 0.72–0.88). In four studies with MRI, the average weighted AUC was 0.88 (95% CI: 0.86–0.90), while in other articles where MRI was not a parameter in the diagnostic model, the mean AUC was 0.73 (95% CI: 0.70–0.76).

Conclusions

The present study's findings showed that MRI significantly improved the detection accuracy of prostate cancer and had the highest discrimination to distinguish candidates for biopsy.

An exploratory study into the teaching of clinical examination skills in advanced practice

Clinical examination skills are vital for the accurate assessment and diagnosis of patients. These skills also allow clinicians to differentiate between pathology requiring investigation or treatment and normal anatomy or physiology. This allows clinicians to avoid unnecessary tests and to be able to reassure a patient that their symptoms do not require treatment. However, an incomplete or faulty clinical examination can lead to missed diagnoses and patient harm. Although comprehensive clinical examination skills training is provided in the undergraduate curriculum of medical schools in the UK, little is known in relation to the teaching provided for nurses and allied health professions working in advanced practice roles. This survey sought to explore this phenomenon and uncover clinicians' experiences with regard to being taught a selection of specific clinical examination skills in theory and in practice, those skills being the core system examinations (respiratory, cardiovascular and peripheral vascular, abdominal, central and peripheral nervous systems) and a number of focused examinations (digital rectal and examination, thyroid, breast and genital examination for males and females). The findings demonstrate a concerning variability of educational experiences and a lack of educational coverage of some of the basic clinical examination skills in both theoretical and practical terms. These findings provide an insight into areas of future higher education curricula development as well as workplace mentoring and learning.

Prostate Volume Estimation on MRI: Accuracy and Effects of Ellipsoid and Bullet-Shaped Measurements on PSA Density

RATIONALE AND OBJECTIVES

PSA density (PSAd), an important decision-making parameter for patients with suspected prostate cancer (PCa), is dependent on magnetic resonance imaging prostate volume (PV) estimation. We aimed to compare the accuracy of the ellipsoid and bullet-shaped formulas with manual whole-gland segmentation as reference standard and to evaluate the corresponding PSAd diagnostic accuracy in predicting clinically significant PCa.

MATERIALS AND METHODS

We retrospectively analysed 195 patients with suspected PCa who underwent magnetic resonance imaging and prostate biopsy. Patients with PCa were categorized according to ISUP score. PV and corresponding PSAd were calculated with manual segmentation (mPV and mPSAd) as well as with ellipsoid (ePV and ePSAd) and bullet-shaped (bPV and bPSAd) formulas. Inter and intra-reader reproducibility were assessed with Lin's concordance correlation coefficient and the intraclass correlation coefficient (ICC). A 2-way analysis of variance with post-hoc Bonferroni test was used for assessing PV differences. Predictive values of PSAd calculated with different methods for detecting clinically significant PCa were evaluated by receiver operating characteristic curve analysis and Youden's index.

RESULTS

Both intra (ρ = 0.99, ICC = 0.99) and inter-reader (ρ = 0.98, ICC = 0.98) reproducibility were excellent. No significant difference was found between ePV and reference standard (p = 1.00). bPV was significantly different from both (p = 0.00). PSAd (mPSAd/ePSAd cut-off ≥ 0.15, bPSAd cut-off ≥ 0.12) had sensitivity = 69-70%, specificity = 72-75%, areas under the curve = 0.757-0.760 (p = 0.70-0.88).

CONCLUSIONS

Our work shows that when using bullet-shaped formula, a different PSAd cut-off must be considered to avoid PCa under-diagnosis and inaccurate risk-stratification.

A prospective study of the effect of testosterone escape on preradiotherapy prostate-specific antigen kinetics in prostate cancer patients undergoing neoadjuvant androgen deprivation therapy

Introduction

Prostate-specific antigen (PSA) kinetic patterns during neoadjuvant androgen deprivation therapy have been shown to predict unfavorable long-term outcomes.

Objective

To investigate the effect of testosterone escape (TE) on these kinetic patterns, as this had not been previously reported.

Methods

There were 50 consecutive prostate cancer patients who received 6 months of triptorelin prior to definitive radiotherapy (RT). Testosterone and PSA levels were measured at baseline and every 6 weeks. Clinical factors were tested for their ability to predict for TE and unfavorable PSA kinetic patterns. The effects of TE, at both 1.7 and 0.7 nmol/L levels, were analyzed.

Results

TE occurred in at least one reading for 14% and 34% of the patients at the 1.7 and 0.7 nmol/L levels, respectively. No baseline factors predicted TE. The median PSA halving time was 25 days and the median pre-RT PSA level was 0.55 ng/mL. The only factor significantly associated with a higher pre-RT PSA level was a higher baseline PSA level. The only factor that significantly predicted a longer PSA halving time was TE at the 1.7 nmol/L level.

Conclusions

TE and higher baseline PSA levels may adversely affect PSA kinetics and other outcomes for patients undergoing neoadjuvant hormone therapy prior to radiotherapy. Studies investigating the tailoring of neoadjuvant therapy by extending the duration in those patients with a higher baseline PSA level or by the addition of anti-androgens in those demonstrating TE, should be considered.

Is prospective MRI mapping of the changes in the volume of the prostate gland in prostate cancer patients undergoing 6 months of neo-adjuvant androgen deprivation therapy a step towards a trial to determine those who may benefit from treatment intensification or extended duration?

INTRODUCTION

Neo-adjuvant androgen deprivation therapy prior to radiotherapy (RT) causes shrinkage of the prostate gland, but the changes in volume have never been mapped over time in detail, nor have the associations between volume reduction and testosterone escape or prostate-specific antigen (PSA) kinetics been determined.

METHODS

Fifty consecutive patients with prostate cancer were treated with 6 months of triptorelin prior to definitive RT. The volume of the prostate gland was measured at the outset and every 6-7 weeks thereafter using MRI scans. The volumes were calculated using a planimetric method, and inter-rater reliability was checked. Factors associated with a large initial volume and greater reductions in it were assessed.

RESULTS

The median volume at the outset was 45 cc, and the median reductions every 6 weeks thereafter were 23, 18, 9 and 5%. The inter-rater agreement was high (r > 0.9, P < 0.001). There were no baseline clinical factors associated with a high initial prostate volume, but the initial volume was associated with greater volume reduction. Testosterone escape had no effect on the reduction, and changes in volume were not reflected in PSA response kinetics.

CONCLUSIONS

Reductions in volume continue throughout a 6-month course of neo-adjuvant therapy but are greatest during the first 6 weeks. Although individualisation of the duration or intensity of the hormone treatment warrants further investigation, the role of prostate gland volume reduction remains uncertain. More detailed studies of tumour volume might be possible if the imaging required was acceptable and accessible to patients.