Assessing The PSMA-PET CT Predictive Ability of Extraprostatic Extension of Prostate Cancer

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MLA citation style (9th ed.)

Asad, Ismail , et al. Assessing The Psma-pet Ct Predictive Ability of Extraprostatic Extension of Prostate Cancer. Indiana University School of Medicine.. 2023. marian.palni-palci-staging.notch8.cloud/concern/generic_works/7dc87828-3c6d-46d3-9897-11a10b1fddea?locale=es.

APA citation style (7th ed.)

A. Ismail, T. N, T. I, B. C, G. M, & T. M. (2023). Assessing The PSMA-PET CT Predictive Ability of Extraprostatic Extension of Prostate Cancer. https://marian.palni-palci-staging.notch8.cloud/concern/generic_works/7dc87828-3c6d-46d3-9897-11a10b1fddea?locale=es

Chicago citation style (CMOS 17, author-date)

Asad, Ismail , Tippins, N., Tachibana, I., Bahler, C., Green, M., and Tann, M.. Assessing The Psma-Pet Ct Predictive Ability of Extraprostatic Extension of Prostate Cancer. 2023. https://marian.palni-palci-staging.notch8.cloud/concern/generic_works/7dc87828-3c6d-46d3-9897-11a10b1fddea?locale=es.

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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