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BioMed Research International
Volume 2014, Article ID 203906, 6 pages
http://dx.doi.org/10.1155/2014/203906
Review Article

The Role of MRI in Prostate Cancer Active Surveillance

1Molecular Pharmacology Section, Medical Oncology Branch, National Cancer Institute, Bethesda, MD 20852, USA
2Molecular Imaging Program, National Cancer Institute, Bethesda, MD 20852, USA
3Clinical Pharmacology Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20852, USA

Received 13 June 2014; Revised 22 August 2014; Accepted 23 August 2014; Published 30 November 2014

Academic Editor: Jurgen Futterer

Copyright © 2014 Linda M. Johnson et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [16 citations]

The following is the list of published articles that have cited the current article.

  • Christopher Lim, Trevor A. Flood, Shaheed W. Hakim, Wael M. Shabana, Jeffrey S. Quon, Mohamed El-Khodary, Rebecca E. Thornhill, Soufiane El Hallani, and Nicola Schieda, “Evaluation of apparent diffusion coefficient and MR volumetry as independent associative factors for extra-prostatic extension (EPE) in prostatic carcinoma,” Journal of Magnetic Resonance Imaging, 2015. View at Publisher · View at Google Scholar
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  • Radu Rozenberg, Rebecca E. Thornhill, Trevor A. Flood, Shaheed W. Hakim, Christopher Lim, and Nicola Schieda, “Whole-Tumor Quantitative Apparent Diffusion Coefficient Histogram and Texture Analysis to Predict Gleason Score Upgrading in Intermediate-Risk 3 + 4 = 7 Prostate Cancer,” American Journal of Roentgenology, vol. 206, no. 4, pp. 775–782, 2016. View at Publisher · View at Google Scholar
  • Gloria Bertoli, Claudia Cava, and Isabella Castiglioni, “MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer,” International Journal of Molecular Sciences, vol. 17, no. 3, pp. 421, 2016. View at Publisher · View at Google Scholar
  • Christopher S. Lim, Matthew D.F. McInnes, Robert S. Lim, Rodney H. Breau, Trevor A. Flood, Satheesh Krishna, Christopher Morash, Wael M. Shabana, and Nicola Schieda, “Prognostic value of Prostate Imaging and Data Reporting System (PI-RADS) v. 2 assessment categories 4 and 5 compared to histopathological outcomes after radical prostatectomy,” Journal of Magnetic Resonance Imaging, 2016. View at Publisher · View at Google Scholar
  • Nicola Schieda, Christopher S. Lim, Muhammad Idris, Robert S. Lim, Christopher Morash, Rodney H. Breau, Trevor A. Flood, and Matthew D.F. McInnes, “MRI assessment of pathological stage and surgical margins in anterior prostate cancer (APC) using subjective and quantitative analysis,” Journal of Magnetic Resonance Imaging, vol. 45, no. 5, pp. 1296–1303, 2016. View at Publisher · View at Google Scholar
  • Christopher S. Lim, Matthew D. F. McInnes, Trevor A. Flood, Rodney H. Breau, Christopher Morash, Rebecca E. Thornhill, and Nicola Schieda, “Prostate Imaging Reporting and Data System, Version 2, Assessment Categories and Pathologic Outcomes in Patients With Gleason Score 3 + 4 = 7 Prostate Cancer Diagnosed at Biopsy,” American Journal of Roentgenology, vol. 208, no. 5, pp. 1037–1044, 2017. View at Publisher · View at Google Scholar
  • Satheesh Krishna, Christopher S. Lim, Matthew D.F. McInnes, Trevor A. Flood, Wael M. Shabana, Robert S. Lim, and Nicola Schieda, “Evaluation of MRI for diagnosis of extraprostatic extension in prostate cancer,” Journal of Magnetic Resonance Imaging, 2017. View at Publisher · View at Google Scholar
  • Aritrick Chatterjee, Dianning He, Xiaobing Fan, Shiyang Wang, Teodora Szasz, Ambereen Yousuf, Federico Pineda, Tatjana Antic, Melvy Mathew, Gregory S. Karczmar, and Aytekin Oto, “Performance of Ultrafast DCE-MRI for Diagnosis of Prostate Cancer,” Academic Radiology, 2017. View at Publisher · View at Google Scholar
  • Satheesh Krishna, Nicola Schieda, Matthew DF McInnes, Trevor A. Flood, and Rebecca E. Thornhill, “Diagnosis of transition zone prostate cancer using T2-weighted (T2W) MRI: comparison of subjective features and quantitative shape analysis,” European Radiology, 2018. View at Publisher · View at Google Scholar
  • Nima Sadoughi, Satheesh Krishna, Matthew D. F. McInnes, Trevor A. Flood, Rodney H. Breau, Christopher Morash, and Nicola Schieda, “ADC Metrics From Multiparametric MRI: Histologic Downgrading of Gleason Score 9 or 10 Prostate Cancers Diagnosed at Nontargeted Transrectal Ultrasound–Guided Biopsy,” American Journal of Roentgenology, pp. W1–W8, 2018. View at Publisher · View at Google Scholar
  • Aritrick Chatterjee, Ajit Devaraj, Melvy Mathew, Teodora Szasz, Tatjana Antic, Gregory S. Karczmar, and Aytekin Oto, “Performance of T2 Maps in the Detection of Prostate Cancer,” Academic Radiology, 2018. View at Publisher · View at Google Scholar
  • Aritrick Chatterjee, Roger M. Bourne, Shiyang Wang, Ajit Devaraj, Alexander J. Gallan, Tatjana Antic, Gregory S. Karczmar, and Aytekin Oto, “Diagnosis of Prostate Cancer with Noninvasive Estimation of Prostate Tissue Composition by Using Hybrid Multidimensional MR Imaging: A Feasibility Study,” Radiology, pp. 171130, 2018. View at Publisher · View at Google Scholar