Parametric maps of spatial two-tissue compartment model for prostate dynamic contrast enhanced MRI - comparison with the standard tofts model in the diagnosis of prostate cancer
Author:
Funder
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s13246-023-01289-6.pdf
Reference51 articles.
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2. Stabile A, Giganti F, Rosenkrantz AB, Taneja SS, Villeirs G, Gill IS, Allen C, Emberton M, Moore CM, Kasivisvanathan V (2020) Multiparametric MRI for prostate cancer diagnosis: current status and future directions. Nat Rev Urol 17(1):41–61. https://doi.org/10.1038/s41585-019-0212-4
3. Chatterjee A, He D, Fan X, Antic T, Jiang Y, Eggener S, Karczmar GS, Oto A (2019) Diagnosis of prostate cancer by use of MRI-derived quantitative risk maps: a feasibility study. AJR Am J Roentgenol 213(2):W66–W75. https://doi.org/10.2214/ajr.18.20702
4. Belue MJ, Yilmaz EC, Daryanani A, Turkbey B (2022) Current status of biparametric MRI in prostate cancer diagnosis: literature analysis. Life (Basel) 12(6):804. https://doi.org/10.3390/life12060804
5. Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ, Tempany CM, Choyke PL, Cornud F, Margolis DJ, Thoeny HC, Verma S, Barentsz J, Weinreb JC (2019) Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2. Eur Urol 76(3):340–351. https://doi.org/10.1016/j.eururo.2019.02.033
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