Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI.
Papp L, Spielvogel CP, Grubmüller B, Grahovac M, Krajnc D, Ecsedi B, Sareshgi RAM, Mohamad D, Hamboeck M, Rausch I, Mitterhauser M, Wadsak W, Haug AR, Kenner L, Mazal P, Susani M, Hartenbach S, Baltzer P, Helbich TH, Kramer G, Shariat SF, Beyer T, Hartenbach M, Hacker M.
Papp L, et al.
Eur J Nucl Med Mol Imaging. 2021 Jun;48(6):1795-1805. doi: 10.1007/s00259-020-05140-y. Epub 2020 Dec 19.
Eur J Nucl Med Mol Imaging. 2021.
PMID: 33341915
Free PMC article.
Clinical Trial.
Radiomics in combination with ensemble machine learning was applied including the [(68)Ga]Ga-PSMA-11 PET, the apparent diffusion coefficient, and the transverse relaxation time-weighted MRI scans of each patient to establish a low-vs-high risk lesion prediction model (M(LH …
Radiomics in combination with ensemble machine learning was applied including the [(68)Ga]Ga-PSMA-11 PET, the apparent diffusion coefficient …