Treatment Response Evaluation in Prostate Cancer Using PSMA PET/CT

前列腺癌 癌症 医学 前列腺 核医学 肿瘤科 内科学
作者
Andrei Gafita,Jennifer A. Schroeder,Francesco Ceci,Jorge D. Oldan,Amir H. Khandani,Frédéric Lecouvet,Lilja B. Sólnes,Steven P. Rowe
出处
期刊:Journal of nuclear medicine [Society of Nuclear Medicine]
卷期号:66 (7): jnumed.124.268071-jnumed.124.268071 被引量:6
标识
DOI:10.2967/jnumed.124.268071
摘要

In recent years, there has been a headlong rush into the use of prostate-specific membrane antigen (PSMA)-targeted PET for the staging and restaging of men with prostate cancer (PC). To date, there have been regulatory approvals for PSMA PET for purposes of initial staging, recurrence, and establishing eligibility for PSMA-targeted radiopharmaceutical therapy. Conventional imaging modalities, including bone scan and CT, are inadequate for identifying sites of PC in a variety of clinical scenarios. Further, current standardized response assessment approaches based on either conventional imaging or PET radiotracers that lack sensitivity for PC are inappropriate for response assessment in men with PC. There is currently no specific regulatory approval for the use of PSMA PET for response assessment. In the context of the use of PSMA-targeted radiopharmaceutical therapy and other cytotoxic therapeutic approaches, both the PSMA PET progression criteria and RECIP 1.0 have been shown to have value and to provide prognostic information. However, the role of those criteria is less clear for patients who are being treated with agents targeting the androgen signaling axis, given variable changes in PSMA expression. Ultimately, there may be key roles for machine learning and artificial intelligence in identifying imaging biomarkers based on changes in PSMA PET uptake during therapy.
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