» Articles » PMID: 31378585

Developing an Effective Strategy to Improve the Detection of Significant Prostate Cancer by Combining the 4Kscore and Multiparametric MRI

Overview
Journal Urol Oncol
Publisher Elsevier
Date 2019 Aug 6
PMID 31378585
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: Recent years have seen the development of biomarkers and imaging technologies designed to improve the specificity of PSA. Widespread implementation of imaging technologies, such as mp-MRI raises considerable logistical challenges. Our objective was to evaluate a biopsy strategy that utilizes selective mp-MRI as a follow-up test to biomarkers to improve the detection of significant prostate cancer.

Methods And Materials: We developed a conceptual approach based on the risk calculated from the 4Kscore using results from the US prospective validation study, multiplied by the likelihood ratio of mp-MRI from the PROMIS trial. The primary outcome was Gleason grade ≥ 7 (grade group ≥ 2) cancer on biopsy. Using decision curve analysis, the net benefit was determined for our model and compared with the use of the 4Kscore and mp-MRI independently at various thresholds for biopsy.

Results: For a cut-point of 7.5% risk of high-grade disease, patients with <5% risk from a blood marker would not have risk of significant prostate cancer sufficiently increased by a positive mp-MRI to warrant biopsy; comparably, patients with a risk >23% would not have risk sufficiently reduced by a negative imaging study to forgo biopsy. From the 4Kscore validation study, 46% of men considered for biopsy in the US have risks 5% to 23%. Net benefit was highest for the combined strategy, followed by 4Kscore alone.

Conclusions: Selective mp-MRI in men with intermediate scores on a secondary blood test results in a biopsy strategy that is more scalable than mp-MRI for all men with elevated PSA. Prospective validation is required to demonstrate if the predicted properties of combined blood and imaging testing are empirically confirmed.

Citing Articles

Advancements in Biomarkers of Prostate Cancer: A Review.

Agbetuyi-Tayo P, Gbadebo M, Rotimi O, Rotimi S Technol Cancer Res Treat. 2024; 23:15330338241290029.

PMID: 39440372 PMC: 11497500. DOI: 10.1177/15330338241290029.


Advances in multiparametric magnetic resonance imaging combined with biomarkers for the diagnosis of high-grade prostate cancer.

Li S, Zha M, Wang Q, Tang Y Front Surg. 2024; 11:1429831.

PMID: 39081487 PMC: 11286397. DOI: 10.3389/fsurg.2024.1429831.


How to Integrate Prostate Cancer Biomarkers in Urology Clinical Practice: An Update.

Baston C, Preda A, Iordache A, Olaru V, Surcel C, Sinescu I Cancers (Basel). 2024; 16(2).

PMID: 38254807 PMC: 10813985. DOI: 10.3390/cancers16020316.


Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy.

Morote J, Borque-Fernando A, Triquell M, Celma A, Regis L, Mast R Cancers (Basel). 2022; 14(10).

PMID: 35625978 PMC: 9139805. DOI: 10.3390/cancers14102374.


Improving the Early Detection of Clinically Significant Prostate Cancer in Men in the Challenging Prostate Imaging-Reporting and Data System 3 Category.

Morote J, Campistol M, Triquell M, Celma A, Regis L, de Torres I Eur Urol Open Sci. 2022; 37:38-44.

PMID: 35243388 PMC: 8883194. DOI: 10.1016/j.euros.2021.12.009.


References
1.
Turkbey B, Brown A, Sankineni S, Wood B, Pinto P, Choyke P . Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer. CA Cancer J Clin. 2015; 66(4):326-36. PMC: 7511979. DOI: 10.3322/caac.21333. View

2.
Ahmed H, El-Shater Bosaily A, Brown L, Gabe R, Kaplan R, Parmar M . Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet. 2017; 389(10071):815-822. DOI: 10.1016/S0140-6736(16)32401-1. View

3.
Barentsz J, Richenberg J, Clements R, Choyke P, Verma S, Villeirs G . ESUR prostate MR guidelines 2012. Eur Radiol. 2012; 22(4):746-57. PMC: 3297750. DOI: 10.1007/s00330-011-2377-y. View

4.
Futterer J, Briganti A, De Visschere P, Emberton M, Giannarini G, Kirkham A . Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature. Eur Urol. 2015; 68(6):1045-53. DOI: 10.1016/j.eururo.2015.01.013. View

5.
Vickers A, Elkin E . Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006; 26(6):565-74. PMC: 2577036. DOI: 10.1177/0272989X06295361. View