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@ARTICLE{Ostau:293574,
      author       = {N. E. v. Ostau and A. E. Handke and M. Wiesenfarth$^*$ and
                      P. Albers and G. Antoch and J. Noldus and H. Reis and C.
                      Cotarelo and J. Preetz and L. Umutlu and M. Ingenwerth and
                      J. P. Radtke$^*$ and B. Hadaschik and L. Schimmöller and C.
                      Kesch},
      title        = {{B}icenter validation of a risk model for the preoperative
                      prediction of extraprostatic extension of localized prostate
                      cancer combining clinical and multiparametric {MRI}
                      parameters.},
      journal      = {World journal of urology},
      volume       = {42},
      number       = {1},
      issn         = {0724-4983},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {DKFZ-2024-01897},
      pages        = {530},
      year         = {2024},
      abstract     = {This study aimed to validate a previously published risk
                      model (RM) which combines clinical and multiparametric MRI
                      (mpMRI) parameters to predict extraprostatic extension (EPE)
                      of prostate cancer (PC) prior to radical prostatectomy
                      (RP).A previously published RM combining clinical with mpMRI
                      parameters including European Society of Urogenital
                      Radiology (ESUR) classification for EPE was retrospectively
                      evaluated in a cohort of two urological university hospitals
                      in Germany. Consecutive patients (n = 205, January 2015
                      -June 2021) with available preoperative MRI images, clinical
                      information including PSA, prostate volume, ESUR
                      classification for EPE, histopathological results of
                      MRI-fusion biopsy and RP specimen were included. Validation
                      was performed by receiver operating characteristic analysis
                      and calibration plots. The RM's performance was compared to
                      ESUR criteria.Histopathological T3 stage was detected in
                      $43\%$ of the patients (n = 89); $45\%$ at Essen and $42\%$
                      at Düsseldorf. Discrimination performance between pT2 and
                      pT3 of the RM in the entire cohort was AUC = 0.86 (AUC =
                      0.88 at site 1 and AUC = 0.85 at site 2). Calibration was
                      good over the entire probability range. The discrimination
                      performance of ESUR classification alone was comparable (AUC
                      = 0.87).The RM showed good discriminative performance to
                      predict EPE for decision-making for RP as a patient-tailored
                      risk stratification. However, when experienced MRI reading
                      is available, standardized MRI reading with ESUR scoring is
                      comparable regarding information outcome. A main limitation
                      is the potentially limited transferability to other
                      populations because of the high prevalence of EPE in our
                      subgroups.},
      keywords     = {Humans / Male / Prostatic Neoplasms: pathology / Prostatic
                      Neoplasms: surgery / Prostatic Neoplasms: diagnostic imaging
                      / Multiparametric Magnetic Resonance Imaging / Retrospective
                      Studies / Risk Assessment / Middle Aged / Aged / Neoplasm
                      Invasiveness / Prostatectomy: methods / Predictive Value of
                      Tests / Preoperative Care: methods / Extraprostatic
                      extension (Other) / Multiparametric MRI (Other) / Positive
                      surgical margins (Other) / Prostate cancer (Other)},
      cin          = {C060 / E010},
      ddc          = {610},
      cid          = {I:(DE-He78)C060-20160331 / I:(DE-He78)E010-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39302458},
      pmc          = {pmc:PMC11415414},
      doi          = {10.1007/s00345-024-05232-6},
      url          = {https://inrepo02.dkfz.de/record/293574},
}