1. Identifying the Best Candidates for Prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomography as the Primary Staging Approach Among Men with High-risk Prostate Cancer and Negative Conventional Imaging.
- Author
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Ma, Ting Martin, Gafita, Andrei, Shabsovich, David, Juarez, Jesus, Grogan, Tristan R, Thin, Pan, Armstrong, Wesley, Sonni, Ida, Nguyen, Kathleen, Lok, Vincent, Reiter, Robert E, Rettig, Matthew B, Steinberg, Michael L, Kupelian, Patrick A, Yang, David D, Muralidhar, Vinayak, Chu, Carissa, Feng, Felix, Savjani, Ricky, Deng, Jie, Parikh, Neil R, Nickols, Nicholas G, Elashoff, David, Czernin, Johannes, Calais, Jeremie, and Kishan, Amar U
- Subjects
Prostate ,Humans ,Prostatic Neoplasms ,Nomograms ,Prospective Studies ,Male ,Clinical Trials as Topic ,Positron Emission Tomography Computed Tomography ,Conventional imaging ,Gleason grade ,Nomogram ,Overall upstaging ,Percent positive core ,Positron emission tomography/computed tomography ,Prostate cancer ,Prostate-specific membrane antigen ,Staging ,Biomedical Imaging ,Prostate Cancer ,Urologic Diseases ,Aging ,Clinical Research ,Cancer ,Prevention ,4.2 Evaluation of markers and technologies ,Detection ,screening and diagnosis - Abstract
Prostate-specific membrane antigen (PSMA) positron emission tomography (PET)/computed tomography (CT) is an emerging imaging modality with greater sensitivity and specificity over conventional imaging for prostate cancer (PCa) staging. Using data from two prospective trials (NCT03368547 and NCT04050215), we explored predictors of overall upstaging (nodal and metastatic) by PSMA PET/CT among patients with cN0M0 National Comprehensive Cancer Network high-risk PCa on conventional imaging (n = 213). Overall, 21.1%, 8.9%, and 23.9% of patients experienced nodal, metastatic, and overall upstaging, respectively, without histologic confirmation. On multivariable analysis, Gleason grade group (GG) and percent positive core (PPC) on systematic biopsy significantly predict overall upstaging (odds ratio [OR] 2.15, 95% confidence interval [CI] 1.33-3.45; p = 0.002; and OR 1.03, 95% CI 1.01-1.04; p
- Published
- 2022