Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2024 Aug 24;16(17):2951.
doi: 10.3390/cancers16172951.

The Role of Radiomics in the Prediction of Clinically Significant Prostate Cancer in the PI-RADS v2 and v2.1 Era: A Systematic Review

Andreu Antolin  1   2 , Nuria Roson  1 , Richard Mast  3 , Javier Arce  1 , Ramon Almodovar  3 , Roger Cortada  3 , Almudena Maceda  4 , Manuel Escobar  3 , Enrique Trilla  2   5 , Juan Morote  2   5
Affiliations
Review

The Role of Radiomics in the Prediction of Clinically Significant Prostate Cancer in the PI-RADS v2 and v2.1 Era: A Systematic Review

Andreu Antolin et al. Cancers (Basel). .

Abstract

Early detection of clinically significant prostate cancer (csPCa) has substantially improved with the latest PI-RADS versions. However, there is still an overdiagnosis of indolent lesions (iPCa), and radiomics has emerged as a potential solution. The aim of this systematic review is to evaluate the role of handcrafted and deep radiomics in differentiating lesions with csPCa from those with iPCa and benign lesions on prostate MRI assessed with PI-RADS v2 and/or 2.1. The literature search was conducted in PubMed, Cochrane, and Web of Science databases to select relevant studies. Quality assessment was carried out with Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2), Radiomic Quality Score (RQS), and Checklist for Artificial Intelligence in Medical Imaging (CLAIM) tools. A total of 14 studies were deemed as relevant from 411 publications. The results highlighted a good performance of handcrafted and deep radiomics methods for csPCa detection, but without significant differences compared to radiologists (PI-RADS) in the few studies in which it was assessed. Moreover, heterogeneity and restrictions were found in the studies and quality analysis, which might induce bias. Future studies should tackle these problems to encourage clinical applicability. Prospective studies and comparison with radiologists (PI-RADS) are needed to better understand its potential.

Keywords: PI-RADS; clinically significant prostate cancer; deep learning; machine learning; magnetic resonance imaging; prediction; radiomics; systematic review.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA 2020) flow diagram for the selection of relevant studies based on the search strategy.
Figure 2
Figure 2
QUADAS-2 risk of bias and applicability concerns of the selected studies (top, [24,25,26,27,28,29,30,31,32,33,34,35,36,37]) and its corresponding graphical representation (bottom).
See this image and copyright information in PMC

References

    1. Sung H., Ferlay J., Siegel R.L., Laversanne M., Soerjomataram I., Jemal A., Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71:209–249. doi: 10.3322/caac.21660. - DOI - PubMed
    1. Epstein J.I., Egevad L., Amin M.B., Delahunt B., Srigley J.R., Humphrey P.A., Grading Committee The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. Am. J. Surg. Pathol. 2016;40:244–252. doi: 10.1097/PAS.0000000000000530. - DOI - PubMed
    1. Van Poppel H., Roobol M.J., Chandran A. Early Detection of Prostate Cancer in the European Union: Combining Forces with PRAISE-U. Eur. Urol. 2023;84:519–522. doi: 10.1016/j.eururo.2023.08.002. - DOI - PubMed
    1. Van Poppel H., Hogenhout R., Albers P., van den Bergh R.C.N., Barentsz J.O., Roobol M.J. A European Model for an Organised Risk-stratified Early Detection Programme for Prostate Cancer. Eur. Urol. Oncol. 2021;4:731–739. doi: 10.1016/j.euo.2021.06.006. - DOI - PubMed
    1. Van Poppel H., Albreht T., Basu P., Hogenhout R., Collen S., Roobol M. Serum PSA-based Early Detection of Prostate Cancer in Europe and Globally: Past, Present and Future. Nat. Rev. Urol. 2022;19:562–572. doi: 10.1038/s41585-022-00638-6. - DOI - PubMed

LinkOut - more resources