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@ARTICLE{NyarangiDix:141821,
      author       = {J. Nyarangi-Dix and M. Wiesenfarth$^*$ and D. Bonekamp$^*$
                      and B. Hitthaler and V. Schütz and S. Dieffenbacher$^*$ and
                      M. Mueller-Wolf$^*$ and W. Roth and A. Stenzinger and S.
                      Duensing and M. Roethke$^*$ and D. Teber and H.-P.
                      Schlemmer$^*$ and M. Hohenfellner and J. P. Radtke$^*$},
      title        = {{C}ombined {C}linical {P}arameters and {M}ultiparametric
                      {M}agnetic {R}esonance {I}maging for the {P}rediction of
                      {E}xtraprostatic {D}isease-{A} {R}isk {M}odel for
                      {P}atient-tailored {R}isk {S}tratification {W}hen {P}lanning
                      {R}adical {P}rostatectomy.},
      journal      = {European urology focus},
      volume       = {6},
      number       = {6},
      issn         = {2405-4569},
      address      = {Amsterdam},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2018-02089},
      pages        = {1205-1212},
      year         = {2020},
      note         = {2020 Nov 15;6(6):1205-1212#LA:E010#},
      abstract     = {Multiparametric magnetic resonance imaging (mpMRI)
                      facilitates the detection of significant prostate cancer.
                      Therefore, addition of mpMRI to clinical parameters might
                      improve the prediction of extraprostatic extension (EPE) in
                      radical prostatectomy (RP) specimens.To investigate the
                      accuracy of a novel risk model (RM) combining clinical and
                      mpMRI parameters to predict EPE in RP specimens.We added
                      prebiopsy mpMRI to clinical parameters and developed an RM
                      to predict individual side-specific EPE (EPE-RM). Clinical
                      parameters of 264 consecutive men with mpMRI prior to
                      MRI/transrectal ultrasound fusion biopsy and subsequent RP
                      between 2012 and 2015 were retrospectively
                      analysed.Multivariate regression analyses were used to
                      determine significant EPE predictors for RM development. The
                      prediction performance of the novel EPE-RM was compared with
                      clinical T stage (cT), MR-European Society of Urogenital
                      Radiology (ESUR) classification for EPE, two established
                      nomograms (by Steuber et al and Ohori et al) and a clinical
                      nomogram based on the coefficients of the established
                      nomograms, and was constructed based on the data of the
                      present cohort, using receiver operating characteristics
                      (ROCs). For comparison, models' likelihood ratio (LR) tests
                      and Vuong tests were used. Discrimination and calibration of
                      the EPE-RM were validated based on resampling methods using
                      bootstrapping.International society of Urogenital Pathology
                      grade on biopsy, ESUR criteria, prostate-specific antigen,
                      cT, prostate volume, and capsule contact length were
                      included in the EPE-RM. Calibration of the EPE-RM was good
                      (error 0.018). The ROC area under the curve for the EPE-RM
                      was larger (0.87) compared with cT (0.66), Memorial Sloan
                      Kettering Cancer Center nomogram (0.73), Steuber nomogram
                      (0.70), novel clinical nomogram (0.79), and ESUR
                      classification (0.81). Based on LR and Vuong tests, the
                      EPE-RM's model fit was significantly better than that of cT,
                      all clinical models, and ESUR classification alone
                      (p<0.001). Limitations include monocentric design and expert
                      reading of MRI.This novel EPE-RM, incorporating clinical and
                      MRI parameters, performed better than contemporary clinical
                      RMs and MRI predictors, therefore providing an accurate
                      patient-tailored preoperative risk stratification of
                      side-specific EPE.Extraprostatic extension of prostate
                      cancer can be predicted accurately using a combination of
                      magnetic resonance imaging and clinical parameters. This
                      novel risk model outperforms magnetic resonance imaging and
                      clinical predictors alone and can be useful when planning
                      nerve-sparing radical prostatectomy.},
      cin          = {C060 / E010},
      ddc          = {610},
      cid          = {I:(DE-He78)C060-20160331 / I:(DE-He78)E010-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30477971},
      doi          = {10.1016/j.euf.2018.11.004},
      url          = {https://inrepo02.dkfz.de/record/141821},
}