Assessing The PSMA-PET CT Predictive Ability of Extraprostatic Extension of Prostate Cancer
Public DepositedMLA citation style (9th ed.)
. 2023. marian.hykucommons.org/concern/generic_works/7dc87828-3c6d-46d3-9897-11a10b1fddea?q=2019-08-20%2013:30. Assessing The Psma-pet Ct Predictive Ability of Extraprostatic Extension of Prostate Cancer. Indiana University School of Medicine.APA citation style (7th ed.)
(2023). Assessing The PSMA-PET CT Predictive Ability of Extraprostatic Extension of Prostate Cancer. https://marian.hykucommons.org/concern/generic_works/7dc87828-3c6d-46d3-9897-11a10b1fddea?q=2019-08-20%2013:30Chicago citation style (CMOS 17, author-date)
Assessing The Psma-Pet Ct Predictive Ability of Extraprostatic Extension of Prostate Cancer. 2023. https://marian.hykucommons.org/concern/generic_works/7dc87828-3c6d-46d3-9897-11a10b1fddea?q=2019-08-20%2013:30.Note: These citations are programmatically generated and may be incomplete.
Introduction and Objective:
Accurate prediction of extraprostatic extension (EPE) can guide surgical treatment planning and maximize quality of life outcomes. We sought to analyze clinical and PSMA- PET CT EPE predictability.
Methods: Retrospective review of pre-op PSMA-PET CT and clinical parameters compared with histopathologic EPE data.
Results: EPE prediction with PSMA-PET CT: sensitivity (0.78), specificity (0.79), PPV (0.61), and NPV (0.90). After including Gleason grade, the ROC curve demonstrated an AUC of 0.82.
Conclusion: PSMA-PET CT has strong EPE rule-out accuracy. Gleason grade did not substantially improve predictive capacity.
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