Bicenter validation of a risk model for the preoperative prediction of extraprostatic extension of localized prostate cancer combining clinical and multiparametric MRI parameters
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.
Authors
- Marc Ingenwerth
- Nicola Edith von Ostau (ORCID: https://orcid.org/0000-0002-7112-1198)
- Henning Reis (ORCID: https://orcid.org/0000-0003-1373-5295)
- Claudia Kesch (ORCID: https://orcid.org/0000-0002-2656-2664)
- Manuel Wiesenfarth
- Julia Preetz
- Joachim Noldus (ORCID: https://orcid.org/0000-0001-5991-0146)
- Jan Philipp Radtke (ORCID: https://orcid.org/0000-0003-1009-6563)
- Lale Umutlu (ORCID: https://orcid.org/0000-0001-5215-7171)
- Gerald Antoch (ORCID: https://orcid.org/0000-0001-7834-3714)
- Peter Albers (ORCID: https://orcid.org/0000-0002-1747-9615)
- Boris Hadaschik (ORCID: https://orcid.org/0000-0002-1052-2692)
- Analena Handke (ORCID: https://orcid.org/0009-0000-9472-8956)
- Lars Schimmöller (ORCID: https://orcid.org/0000-0001-7476-292X)
- Cristina Cotarelo
Institutions
- Goethe University Frankfurt (DE)
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- Universitätsklinik Marien Hospital Herne (DE)
- Düsseldorf University Hospital (DE)
- Essen University Hospital (DE)
- University Hospital Frankfurt (DE)
- University Medical Centre Mannheim (DE)
- Heinrich Heine University Düsseldorf (DE)
- Ruhr University Bochum (DE)
Publication Details
- Journal
- World Journal of Urology
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1007/s00345-024-05232-6
- Citations
- 4
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.68
Funders
- Universitätsklinikum Essen