Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [(68)Ga]Ga-PSMA-11 PET/MRI

PURPOSE: Risk classification of primary prostate cancer in clinical routine is mainly based on prostate-specific antigen (PSA) levels, Gleason scores from biopsy samples, and tumor-nodes-metastasis (TNM) staging. This study aimed to investigate the diagnostic performance of positron emission tomogra...

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Detalles Bibliográficos
Autores principales: Papp, L., Spielvogel, C. P., Grubmüller, B., Grahovac, M., Krajnc, D., Ecsedi, B., Sareshgi, R. A.M., Mohamad, D., Hamboeck, M., Rausch, I., Mitterhauser, M., Wadsak, W., Haug, A. R., Kenner, L., Mazal, P., Susani, M., Hartenbach, S., Baltzer, P., Helbich, T. H., Kramer, G., Shariat, S.F., Beyer, T., Hartenbach, M., Hacker, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113201/
https://www.ncbi.nlm.nih.gov/pubmed/33341915
http://dx.doi.org/10.1007/s00259-020-05140-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113201/
https://www.ncbi.nlm.nih.gov/pubmed/33341915
http://dx.doi.org/10.1007/s00259-020-05140-y

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