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Multi-parametric MRI of the prostate: Factors predicting extracapsular extension at the time of radical prostatectomy.
Gaunay, Geoffrey S; Patel, Vinay; Shah, Paras; Moreira, Daniel; Rastinehad, Ardeshir R; Ben-Levi, Eran; Villani, Robert; Vira, Manish A.
Afiliação
  • Gaunay GS; The Smith Institute for Urology, Hofstra Northwell School of Medicine, New Hyde Park, NY, USA.
  • Patel V; The Smith Institute for Urology, Hofstra Northwell School of Medicine, New Hyde Park, NY, USA.
  • Shah P; The Smith Institute for Urology, Hofstra Northwell School of Medicine, New Hyde Park, NY, USA.
  • Moreira D; Department of Urology, Mayo Clinic, Rochester, MN, USA.
  • Rastinehad AR; Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Ben-Levi E; Department of Radiology, Hofstra Northwell School of Medicine, New Hyde Park, NY, USA.
  • Villani R; Department of Radiology, Hofstra Northwell School of Medicine, New Hyde Park, NY, USA.
  • Vira MA; The Smith Institute for Urology, Hofstra Northwell School of Medicine, New Hyde Park, NY, USA.
Asian J Urol ; 4(1): 31-36, 2017 Jan.
Article em En | MEDLINE | ID: mdl-29264204
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article