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Asian Journal of Urology, 2017, 4(1): 31-36    
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Multi-parametric MRI of the prostate: Factors predicting extracapsular extension at the time of radical prostatectomy
Geoffrey S. Gaunaya, Vinay Patela, Paras Shaha, Daniel Moreirab, Ardeshir R. Rastinehadc, Eran Ben-Levid, Robert Villanid, Manish A. Viraa
a The Smith Institute for Urology, Hofstra Northwell School of Medicine, New Hyde Park, NY, USA;
b Department of Urology, Mayo Clinic, Rochester, MN, USA;
c Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA;
d Department of Radiology, Hofstra Northwell School of Medicine, New Hyde Park, NY, USA
Multi-parametric MRI of the prostate: Factors predicting extracapsular extension at the time of radical prostatectomy
Geoffrey S. Gaunaya, Vinay Patela, Paras Shaha, Daniel Moreirab, Ardeshir R. Rastinehadc, Eran Ben-Levid, Robert Villanid, Manish A. Viraa
a The Smith Institute for Urology, Hofstra Northwell School of Medicine, New Hyde Park, NY, USA;
b Department of Urology, Mayo Clinic, Rochester, MN, USA;
c Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA;
d Department of Radiology, Hofstra Northwell School of Medicine, New Hyde Park, NY, USA
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摘要 Objective: Extracapsular extension (ECE) of prostate cancer is a poor prognostic factor associated with progression, recurrence after treatment, and increased prostate cancer-related mortality. Accurate staging prior to radical prostatectomy is crucial in avoidance of positive margins and when planning nerve-sparing procedures. Multi-parametric magnetic resonance imaging (mpMRI) of the prostate has shown promise in this regard, but is hampered by poor sensitivity. We sought to identify additional clinical variables associated with pathologic ECE and determine our institutional accuracy in the detection of ECE amongst patients who went on to radical prostatectomy.Methods: mpMRI studies performed between the years 2012 and 2014 were cross-referenced with radical prostatectomy specimens. Predictive properties of ECE as well as additional clinical and biochemical variables to identify pathology-proven prostate cancer ECE were analyzed.Results: The prevalence of ECE was 32.4%, and the overall accuracy of mpMRI for ECE was 84.1%. Overall mpMRI sensitivity, specificity, positive predictive value, and negative predictive value for detection of ECE were 58.3%, 97.8%, 93.3%, and 81.5%, respectively. Specific mpMRI characteristics predictive of pathologic ECE included primary lesion size ((20.73±9.09) mm, mean±SD, P<0.001), T2 PIRADS score (P=0.009), overall primary lesion score (P<0.001), overall study suspicion score (P=0.003), and MRI evidence of seminal vesicle invasion (SVI) (P=0.001)..Conclusion: While mpMRI is an accurate preoperative assessment tool for the detection of ECE, its overall sensitivity is poor, likely related to the low detection rate of standard protocol MRI for microscopic extraprostatic disease. The additional mpMRI findings described may also be considered in surgical margin planning prior to radical prostatectomy.
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Geoffrey S. Gaunay
Vinay Patel
Paras Shah
Daniel Moreira
Ardeshir R. Rastinehad
Eran Ben-Levi
Robert Villani
Manish A. Vira
关键词:  Prostate cancer  Magnetic resonance imaging  Staging  Prostatectomy  Extracapsular extension    
Abstract: Objective: Extracapsular extension (ECE) of prostate cancer is a poor prognostic factor associated with progression, recurrence after treatment, and increased prostate cancer-related mortality. Accurate staging prior to radical prostatectomy is crucial in avoidance of positive margins and when planning nerve-sparing procedures. Multi-parametric magnetic resonance imaging (mpMRI) of the prostate has shown promise in this regard, but is hampered by poor sensitivity. We sought to identify additional clinical variables associated with pathologic ECE and determine our institutional accuracy in the detection of ECE amongst patients who went on to radical prostatectomy.Methods: mpMRI studies performed between the years 2012 and 2014 were cross-referenced with radical prostatectomy specimens. Predictive properties of ECE as well as additional clinical and biochemical variables to identify pathology-proven prostate cancer ECE were analyzed.Results: The prevalence of ECE was 32.4%, and the overall accuracy of mpMRI for ECE was 84.1%. Overall mpMRI sensitivity, specificity, positive predictive value, and negative predictive value for detection of ECE were 58.3%, 97.8%, 93.3%, and 81.5%, respectively. Specific mpMRI characteristics predictive of pathologic ECE included primary lesion size ((20.73±9.09) mm, mean±SD, P<0.001), T2 PIRADS score (P=0.009), overall primary lesion score (P<0.001), overall study suspicion score (P=0.003), and MRI evidence of seminal vesicle invasion (SVI) (P=0.001)..Conclusion: While mpMRI is an accurate preoperative assessment tool for the detection of ECE, its overall sensitivity is poor, likely related to the low detection rate of standard protocol MRI for microscopic extraprostatic disease. The additional mpMRI findings described may also be considered in surgical margin planning prior to radical prostatectomy.
Key words:  Prostate cancer    Magnetic resonance imaging    Staging    Prostatectomy    Extracapsular extension
收稿日期:  2016-07-07      修回日期:  2016-07-12           出版日期:  2017-01-01      发布日期:  2017-02-16      整期出版日期:  2017-01-01
通讯作者:  Manish A. Vira,E-mail address:mvira@northwell.edu    E-mail:  mvira@northwell.edu
引用本文:    
Geoffrey S. Gaunay, Vinay Patel, Paras Shah, Daniel Moreira, Ardeshir R. Rastinehad, Eran Ben-Levi, Robert Villani, Manish A. Vira. Multi-parametric MRI of the prostate: Factors predicting extracapsular extension at the time of radical prostatectomy[J]. Asian Journal of Urology, 2017, 4(1): 31-36.
Geoffrey S. Gaunay, Vinay Patel, Paras Shah, Daniel Moreira, Ardeshir R. Rastinehad, Eran Ben-Levi, Robert Villani, Manish A. Vira. Multi-parametric MRI of the prostate: Factors predicting extracapsular extension at the time of radical prostatectomy. Asian Journal of Urology, 2017, 4(1): 31-36.
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