{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T16:08:50Z","timestamp":1790179730458,"version":"4.1.0"},"reference-count":35,"publisher":"American Medical Association (AMA)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi241175-4\"><jats:title>Importance<\/jats:title><jats:p>Although prostate-specific membrane antigen positron emission tomography (PSMA-PET) has shown improved sensitivity and specificity compared with conventional imaging for the detection of biochemical recurrent (BCR) prostate cancer, the long-term outcomes of a widespread shift in imaging are unknown.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi241175-5\"><jats:title>Objective<\/jats:title><jats:p>To estimate long-term outcomes of integrating PSMA-PET into the staging pathway for recurrent prostate cancer.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi241175-6\"><jats:title>Design, Setting, and Participants<\/jats:title><jats:p>This decision analytic modeling study simulated outcomes for patients with BCR following initial definitive local therapy. Inputs used were from the literature and a retrospective cohort study conducted at 2 institutions. The base case analysis assumed modest benefits of earlier detection and treatment, and scenario analyses considered prostate-specific antigen (PSA) level at imaging and different outcomes of earlier vs delayed treatment. The analysis was performed between April 1, 2023, and May 1, 2024.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi241175-7\"><jats:title>Exposures<\/jats:title><jats:p>(1) Immediate PSMA-PET imaging, (2) conventional imaging (computed tomography and bone scan [CTBS]) followed by PSMA-PET if CTBS findings were negative or equivocal, and (3) CTBS alone.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi241175-8\"><jats:title>Main Outcomes and Measures<\/jats:title><jats:p>The main outcomes were detection of metastases, deaths from prostate cancer, and life-years and quality-adjusted life-years (QALYs) gained.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi241175-9\"><jats:title>Results<\/jats:title><jats:p>The model estimated that per 1000 simulated patients with BCR (assumed median age, 66 years), PSMA-PET is expected to diagnose 611 (95% uncertainty interval [UI], 565-656) patients with metastasis compared with 630 (95% UI, 586-675) patients diagnosed using CTBS followed by PSMA-PET and 297 (95% UI, 202-410) patients diagnosed using CTBS alone. Moreover, the estimated number of prostate cancer deaths was 512 (95% UI, 472-552 deaths) with PSMA-PET, 520 (95% UI, 480-559 deaths) with CTBS followed by PSMA-PET, and 587 (95% UI, 538-632 deaths) with CTBS alone. Imaging with PSMA-PET yielded the highest number of QALYs, which were 824 (95% UI, 698-885) higher than CTBS. These results differed by PSA level at the time of testing, with the highest incremental life-years and QALYs and lowest number of deaths from prostate cancer among patients with PSA levels of at least 5.0 ng\/mL. Finally, the estimates were sensitive to the expected benefit of initiating therapy for recurrent prostate cancer earlier in the disease course.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi241175-10\"><jats:title>Conclusions and Relevance<\/jats:title><jats:p>The results of this decision-analytic model suggest that upfront PSMA-PET imaging for the evaluation of BCR is expected to be associated with reduced cancer mortality and gains in life-years and QALYs compared with the conventional imaging strategy, assuming modest benefits of earlier detection and treatment.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2024.40591","type":"journal-article","created":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T15:32:02Z","timestamp":1729697522000},"page":"e2440591","source":"Crossref","is-referenced-by-count":15,"title":["Long-Term Outcomes of Prostate-Specific Membrane Antigen\u2013PET Imaging of Recurrent Prostate Cancer"],"prefix":"10.1001","volume":"7","author":[{"given":"Natalia","family":"Kunst","sequence":"first","affiliation":[{"name":"Centre for Health Economics, University of York, York, United Kingdom"},{"name":"Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jessica B.","family":"Long","sequence":"additional","affiliation":[{"name":"Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Westvold","sequence":"additional","affiliation":[{"name":"Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Preston C.","family":"Sprenkle","sequence":"additional","affiliation":[{"name":"Department of Urology, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isaac Y.","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Urology, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lawrence","family":"Saperstein","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maximilian","family":"Rabil","sequence":"additional","affiliation":[{"name":"Department of Urology, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Umar","family":"Ghaffar","sequence":"additional","affiliation":[{"name":"Department of Urology, Mayo Clinic, Rochester, Minnesota"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R. Jeffrey","family":"Karnes","sequence":"additional","affiliation":[{"name":"Department of Urology, Mayo Clinic, Rochester, Minnesota"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaomei","family":"Ma","sequence":"additional","affiliation":[{"name":"Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cary P.","family":"Gross","sequence":"additional","affiliation":[{"name":"Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut"},{"name":"Department of Medicine, Yale School of Medicine, New Haven, 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