%0 Journal Article
%A Handke, Analena Elisa
%A Ritter, Manuel
%A Albers, Peter
%A Noldus, Joachim
%A Radtke, Jan Philipp
%A Krausewitz, Philipp
%T Prostate cancer-multiparametric MRI and alternative approaches in intervention and therapy planning.[Multiparametrische MRT und alternative Methoden in der Interventions- und Behandlungsplanung beim Prostatakarzinom].
%J Die Urologie
%V 62
%N 11
%@ 2731-7064
%C New York]
%I Springer Medizin
%M DKFZ-2023-01798
%P 1160-1168
%D 2023
%Z 2023 Nov;62(11):1160-1168
%X In recent years, multiparametric magnetic resonance imaging (mpMRI) of the prostate has gained importance and plays a crucial role in both personalized diagnostics and increasingly in the treatment planning for patients with prostate cancer.The aim of this study is to present established and innovative applications of MRI in the diagnosis and treatment of localized prostate cancer, evaluating their strengths and weaknesses. Furthermore, it will explore alternative approaches and compare them in a comprehensive manner.A systematic literature review on the application of mpMRI for biopsy and therapy planning was conducted.The integration of modern imaging techniques, especially mpMRI, into the diagnostic algorithm has revolutionized prostate cancer diagnosis. MRI and MRI-guided biopsy detect more significant prostate cancer, with the potential to reduce unnecessary biopsies and the diagnosis of clinically insignificant carcinomas. In addition, MRI provides crucial information for risk stratification and treatment planning in prostate cancer patients, both before radical prostatectomy and during active surveillance.Multiparametric MRI offers significant added value for the diagnosis and treatment of localized prostate cancer. The advancement of MRI analysis, such as the implementation of artificial intelligence algorithms, holds the potential for further enhancing imaging diagnostics.
%K Active surveillance (Other)
%K Biopsy (Other)
%K Quality assurance (Other)
%K Risk stratification (Other)
%K Ultrasonography (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:37666944
%R 10.1007/s00120-023-02190-6
%U https://inrepo02.dkfz.de/record/282509