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

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Publication | Open Access

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

DOI Full Paper Access

135

Citations

31

References

2020

Year

László Papp, Clemens P. Spielvogel, Bernhard Grubmüller, Marko Grahovac, Denis Krajnc, Boglarka Ecsedi, Reza Agha Mohammadi Sareshgi, Dyaa Mohamad, Martina Hamboeck, Ivo Rausch,

European Journal of Nuclear Medicine and Molecular Imaging

Abstract

Our results demonstrate the potential to enhance risk classification in primary prostate cancer patients built on PET/MRI radiomics and machine learning without biopsy sampling.

References

	Year	Citations

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