Uncovering the invisible—prevalence, characteristics, and radiomics feature–based detection of visually undetectable intraprostatic tumor lesions in 68GaPSMA-11 PET images of patients with primary prostate cancer - Concepedia

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Publication | Open Access

Uncovering the invisible—prevalence, characteristics, and radiomics feature–based detection of visually undetectable intraprostatic tumor lesions in 68GaPSMA-11 PET images of patients with primary prostate cancer

DOI Full Paper Access

65

Citations

43

References

2020

Year

Constantinos Zamboglou, A. Bettermann, Christian Gratzke, Michael Mix, Juri Ruf, Selina Kiefer, Cordula A. Jilg, Matthias Benndorf, Simon K. B. Spohn, Thomas F. Fassbender,

European Journal of Nuclear Medicine and Molecular Imaging

Abstract

Visual PSMA-PET image interpretation may miss small but clinically significant PCa in a relevant number of patients and RFs can be implemented to uncover them. This could be used for guiding personalized treatments.

References

	Year	Citations

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