Magnetic Resonance Imaging-Based Predictive Models for Clinically Significant Prostate Cancer: A Systematic Review

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Institut Català de la Salut

[Triquell M, Campistol M, Celma A, Regis L, Cuadras M, Planas J, Trilla E, Morote J] Servei d’Urologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Departament de Cirurgia, Universitat Autònoma de Barcelona, Bellaterra, Spain

Servei d’Urologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Departament de Cirurgia, Universitat Autònoma de Barcelona, Bellaterra, Spain

Vall d'Hebron Barcelona Hospital Campus

Data de publicació

2022-11-21T13:31:18Z

2022-11-21T13:31:18Z

2022-09-29



Resum

Magnetic resonance imaging; Predictive model; Prostate cancer


Imatges per ressonància magnètica; Model predictiu; Càncer de pròstata


Imágenes por resonancia magnética; Modelo predictivo; Cáncer de próstata


MRI can identify suspicious lesions, providing the semi-quantitative risk of csPCa through the Prostate Imaging-Report and Data System (PI-RADS). Predictive models of clinical variables that individualise the risk of csPCa have been developed by adding PI-RADS score (MRI-PMs). Our objective is to analyse the current developed MRI-PMs and define their clinical usefulness. A systematic review was performed after a literature search performed by two independent investigators in PubMed, Cochrane, and Web of Science databases, with the Medical Subjects Headings (MESH): predictive model, nomogram, risk model, magnetic resonance imaging, PI-RADS, prostate cancer, and prostate biopsy. This review was made following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) criteria and studied eligibility based on the Participants, Intervention, Comparator, and Outcomes (PICO) strategy. Among 723 initial identified registers, 18 studies were finally selected. Warp analysis of selected studies was performed with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Clinical predictors in addition to the PI-RADS score in developed MRI-PMs were age, PCa family history, digital rectal examination, biopsy status (initial vs. repeat), ethnicity, serum PSA, prostate volume measured by MRI, or calculated PSA density. All MRI-PMs improved the prediction of csPCa made by clinical predictors or imaging alone and achieved most areas under the curve between 0.78 and 0.92. Among 18 developed MRI-PMs, 7 had any external validation, and two RCs were available. The updated PI-RADS version 2 was exclusively used in 11 MRI-PMs. The performance of MRI-PMs according to PI-RADS was only analysed in a single study. We conclude that MRI-PMs improve the selection of candidates for prostate biopsy beyond the PI-RADS category. However, few developed MRI-PMs meet the appropriate requirements in routine clinical practice.


This research was funded by the Instituto de Salud Carlos III (ESP), grant number PI20/01666.

Tipus de document

Article


Versió publicada

Llengua

Anglès

Publicat per

MDPI

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info:eu-repo/grantAgreement/ES/PE2017-2020/PI20%2F01666

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http://creativecommons.org/licenses/by/4.0/

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