Artificial intelligence can be leveraged to improve the detection of prostate cancer on magnetic resonance imaging; however, before this technology is implemented in clinical practice, further research is required.
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References
Siegel, R. L., Giaquinto, A. N. & Jemal, A. Cancer statistics, 2024. CA Cancer J. Clin. 74, 12–49 (2024).
Padhani, A. R. et al. PI-RADS Steering Committee: the PI-RADS multiparametric MRI and MRI-directed biopsy pathway. Radiology 292, 464–474 (2019).
Turkbey, B. et al. Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer. CA Cancer J. Clin. 66, 326–336 (2016).
Kasivisvanathan, V. et al. MRI-targeted or standard biopsy for prostate-cancer diagnosis. N. Engl. J. Med. 378, 1767–1777 (2018).
Turkbey, B. & Oto, A. Factors impacting performance and reproducibility of PI-RADS. Can. Assoc. Radiol. J. 72, 337–338 (2021).
Lin, Y., Yilmaz, E. C., Belue, M. J. & Turkbey, B. Prostate MRI and image quality: it is time to take stock. Eur. J. Radiol. 161, 110757 (2023).
Turkbey, B. et al. Prostate Imaging Reporting and Data System version 2.1: 2019 update of Prostate Imaging Reporting and Data System version 2. Eur. Urol. 76, 340–351 (2019).
Westphalen, A. C. et al. Variability of the positive predictive value of PI-RADS for prostate MRI across 26 centers: experience of the Society of Abdominal Radiology prostate cancer disease-focused panel. Radiology 296, 76–84 (2020).
Belue, M. J. & Turkbey, B. Tasks for artificial intelligence in prostate MRI. Eur. Radiol. Exp. 6, 33 (2022).
Saha, A. et al. Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study. Lancet Oncol 25, 879–887 (2024).
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B.T. declares a Cooperative Research and Development Agreement (CRADA) with Philips and NVIDIA, royalties from the National Institutes of Health and patents in the field of artificial intelligence.
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Turkbey, B. AI in prostate MRI: enhancing accuracy and reducing overdiagnosis. Nat Rev Urol (2024). https://doi.org/10.1038/s41585-024-00940-5
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DOI: https://doi.org/10.1038/s41585-024-00940-5
