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AI-powered Diagnostics: Transforming Prostate Cancer Diagnosis with MRI

医学 前列腺癌 前列腺 放射科 医学物理学 磁共振成像 癌症 内科学
作者
Patricia M. Johnson,Hersh Chandarana
出处
期刊:Radiology [Radiological Society of North America]
卷期号:312 (2): e241009-e241009 被引量:3
标识
DOI:10.1148/radiol.241009
摘要

HomeRadiologyVol. 312, No. 2 PreviousNext Reviews and CommentaryEditorialAI-powered Diagnostics: Transforming Prostate Cancer Diagnosis with MRIPatricia M. Johnson, Hersh Chandarana Patricia M. Johnson, Hersh Chandarana Author AffiliationsFrom the Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016.Address correspondence to H.C. (email: [email protected]).Patricia M. JohnsonHersh Chandarana Published Online:Aug 6 2024https://doi.org/10.1148/radiol.241009See also the article by Cai et al in this issue.MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In References1. American Cancer Society. Key Statistics For Prostate Cancer. https://www.cancer.org/cancer/types/prostate-cancer/about/key-statistics.html. Updated January 29, 2024. Accessed March 2024. Google Scholar2. Hietikko R, Kilpeläinen TP, Kenttämies A, et al. Expected impact of MRI-related interreader variability on ProScreen prostate cancer screening trial: a pre-trial validation study. Cancer Imaging 2020;20(1):72. MedlineGoogle Scholar3. Smith CP, Harmon SA, Barrett T, et al. Intra- and interreader reproducibility of PI-RADSv2: a multireader study. J Magn Reson Imaging 2019;49(6):1694–1703. MedlineGoogle Scholar4. Saha A, Bosma JS, Twilt JJ, et al. Artificial intelligence and radiologists at prostate cancer detection in MRI—the PI-CAI challenge. Medical Imaging with Deep Learning. https://openreview.net/pdf?id=XfXcA9-0XxR. Posted 2023. Accessed March 2024. Google Scholar5. Cai JC, Nakai H, Kuanar S, et al. Fully automated deep learning model to detect clinically significant prostate cancer at multiparametric MRI. Radiology 2024;312(2):e232635. Google Scholar6. Moore CM, Frangou E, McCartan N, et al; Re-Imagine Study group. Prevalence of MRI lesions in men responding to a GP-led invitation for a prostate health check: a prospective cohort study. BMJ Oncology 2023;2(1):e000057. Google Scholar7. Hao S, Discacciati A, Eklund M, et al. Cost-effectiveness of prostate cancer screening using magnetic resonance imaging or standard biopsy based on the STHLM3-MRI Study. JAMA Oncol 2022;9(1):88–94. MedlineGoogle Scholar8. Johnson PM, Tong A, Donthireddy A, et al. Deep learning reconstruction enables highly accelerated biparametric MR imaging of the prostate. J Magn Reson Imaging 2022;56(1):184–195. MedlineGoogle Scholar9. Lee KL, Kessler DA, Dezonie S, et al. Assessment of deep learning-based reconstruction on T2-weighted and diffusion-weighted prostate MRI image quality. Eur J Radiol 2023;166:111017. MedlineGoogle Scholar10. Lemberskiy G, Chandarana H, Bruno M, et al. Feasibility of accelerated prostate diffusion-weighted imaging on 0.55 T MRI enabled with random matrix theory denoising. Invest Radiol 2023;58(10):720–729. MedlineGoogle ScholarArticle HistoryReceived: Apr 5 2024Revision requested: Apr 12 2024Revision received: Apr 15 2024Accepted: Apr 16 2024Published online: Aug 06 2024 FiguresReferencesRelatedDetailsAccompanying This ArticleFully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRIAug 6 2024RadiologyRecommended Articles Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRIRadiology2024Volume: 312Issue: 2Invited Commentary: Imaging in Patients with Symptomatic Benign Prostatic HyperplasiaRadioGraphics2023Volume: 43Issue: 5Biparametric Prostate MRI Influencing Care Patterns in a Caribbean PopulationRadiology: Imaging Cancer2020Volume: 2Issue: 4Prostate Tissue Microstructural Estimates Using Time-Dependent Diffusion MRIRadiology2022Volume: 303Issue: 3pp. 588-589Prostate Cancer: PI-RADS Version 2 Helps Preoperatively Predict Clinically Significant CancersRadiology2016Volume: 280Issue: 1pp. 108-116See More RSNA Education Exhibits Treatment Strategies For Benign Prostatic Hyperplasia And Post-treatment MR Imaging AppearancesDigital Posters2021Prostate Cancer: What We Already Know About What Is on the HorizonDigital Posters2020mpMRI Findings in Benign Prostatic Hyperplasia (BPH) and Associated Treatment InterventionsDigital Posters2020 RSNA Case Collection Peripheral Zone Prostate Cancer with PseudocapsuleRSNA Case Collection2022Anterior transition zone prostate adenocarcinomaRSNA Case Collection2020Hydrogel infiltration into rectal wallRSNA Case Collection2020 Vol. 312, No. 2 Metrics Altmetric Score PDF download
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