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Original Research

The Assessment of Prostate Cancer Aggressiveness Using a Combination of Quantitative Diffusion-Weighted Imaging and Dynamic Contrast-Enhanced Magnetic Resonance Imaging

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Pages 5287-5295 | Published online: 02 Jul 2021

References

  • Radtke JP, Wiesenfarth M, Kesch C, et al. Combined clinical parameters and multiparametric magnetic resonance imaging for advanced risk modeling of prostate cancer-patient-tailored risk stratification can reduce unnecessary biopsies. Eur Urol. 2017;72(6):888–896. doi:10.1016/j.eururo.2017.03.03928400169
  • Mehralivand S, Bednarova S, Shih JH, et al. Prospective evaluation of PI-RADS™ version 2 Using the International Society of Urological Pathology Prostate Cancer Grade Group System. J Urol. 2017;198(3):583–590. doi:10.1016/j.juro.2017.03.13128373133
  • De Visschere P, Lumen N, Ost P, Decaestecker K, Pattyn E, Villeirs G. Dynamic contrast-enhanced imaging has limited added value over T2-weighted imaging and diffusion-weighted imaging when using PI-RADSv2 for diagnosis of clinically significant prostate cancer in patients with elevated PSA. Clin Radiol. 2017;72(1):23–32. doi:10.1016/j.crad.2016.09.01127726850
  • Roethke MC, Kuder TA, Kuru TH, et al. Evaluation of diffusion kurtosis imaging versus standard diffusion imaging for detection and grading of peripheral zone prostate cancer. Invest Radiol. 2015;50(8):483–489. doi:10.1097/RLI.000000000000015525867657
  • Hötker AM, Mazaheri Y, Aras Ö, et al. Assessment of prostate cancer aggressiveness by use of the combination of quantitative DWI and dynamic contrast-enhanced MRI. AJR Am J Roentgenol. 2016;206(4):756–763. doi:10.2214/AJR.15.1491226900904
  • Dong Y, Feng Q, Yang W, et al. Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI. Eur Radiol. 2018;28(2):582–591. doi:10.1007/s00330-017-5005-728828635
  • Rozenberg R, Thornhill RE, Flood TA, Hakim SW, Lim C, Schieda N. Whole-tumor quantitative apparent diffusion coefficient histogram and texture analysis to predict gleason score upgrading in intermediate-risk 3 + 4 = 7 prostate cancer. AJR Am J Roentgenol. 2016;206(4):775–782. doi:10.2214/AJR.15.1546227003049
  • Shiradkar R, Ghose S, Jambor I, et al. Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: preliminary findings. J Magn Reson Imaging. 2018;48(6):1626–1636. doi:10.1002/jmri.2617829734484
  • Donato P, Morton A, Yaxley J, et al. Improved detection and reduced biopsies: the effect of a multiparametric magnetic resonance imaging-based triage prostate cancer pathway in a public teaching hospital. World J Urol. 2020;38(2):371–379. doi:10.1007/s00345-019-02774-y31055625
  • Beyhan M, Sade R, Koc E, Adanur S, Kantarci M. The evaluation of prostate lesions with IVIM DWI and MR perfusion parameters at 3T MRI. Radiol Med. 2019;124(2):87–93. doi:10.1007/s11547-018-0930-330276599
  • Pesapane F, Patella F, Fumarola EM, et al. Intravoxel incoherent motion (IVIM) diffusion weighted imaging (DWI) in the periferic prostate cancer detection and stratification. Med Oncol. 2017;34(3):35. doi:10.1007/s12032-017-0892-728144814
  • Bao J, Wang X, Hu C, Hou J, Dong F, Guo L. Differentiation of prostate cancer lesions in the transition zone by diffusion-weighted MRI. Eur J Radiol Open. 2017;4:123–128. doi:10.1016/j.ejro.2017.08.00329034282
  • Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424. Erratum in: CA Cancer J Clin. 2020;70(4):313. doi:10.3322/caac.2149230207593
  • Sanz-Requena R, Martí-Bonmatí L, Pérez-Martínez R, García-Martí G. Dynamic contrast-enhanced case-control analysis in 3T MRI of prostate cancer can help to characterize tumor aggressiveness. Eur J Radiol. 2016;85(11):2119–2126. doi:10.1016/j.ejrad.2016.09.02227776667