Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]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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Publicado en:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 48; no. 6; pp. 1795 - 1806
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.
Formato:	Journal Article
Publicado:	Springer Nature Jun2021
Acceso en línea:	Ver este registro en EBSCOhost