Prognostic value of quantitative PSMA-PET parameters during chemotherapy in prostate cancer.
Abstract
33 Background: PSMA-PET/CT is increasingly being used to monitor chemotherapy in prostate cancer and shows promise for predicting outcomes and improving response evaluation. This retrospective study aimed to determine the prognostic value of quantitative tumor burden parameters derived from PSMA-PET/CT for overall survival (OS) during taxane-based chemotherapy. Methods: Databases from 6 institutions were screened for patients who underwent[ 68 Ga]Ga-PSMA11-PET and serum PSA measurements at baseline and within three months after last taxane based chemotherapy dose. Tumor segmentation was performed using DeepPSMA software and PSMA-PET whole-body quantitative parameters were obtained: PSMA-positive tumor volume (PSMA-VOL) and maximum/average standardized uptake value (SUV max , SUV mean ). Univariate Cox-regression analyses by hazard ratio (HR) with 95% confidence interval (CI) were used to evaluate association of whole-body quantitative PSMA parameters and PSA levels with OS. Harrell’s concordance index (C-index) was used to determine prognostic accuracy. Optimal cut points were determined by maximizing the log-rank statistic. Results: A total of 128 patients were included, of whom 62/128 (48%) had castration-sensitive prostate cancer and 66/128 (52%) castration-resistant prostate cancer. At baseline, PSMA-VOL numerically reached the highest prognostic value for OS (C-index: 0.88) followed by PSA (C-index: 0.80, p = 0.85), while the percentage change in PSA levels had the highest prognostic value during treatment (C-index: 0.94) significantly higher than percentage change in PSMA-VOL (C-index: 0.85, p = 0.02), (complete data shown in Table 1). Conclusions: Baseline and post-therapeutic PSMA-PET/CT quantitative parameters are prognostic for OS after taxane-based chemotherapy in prostate cancer. Baseline PSMA-VOL had the highest prognostic value for OS, while changes in PSA levels outperformed changes in quantitative PSMA-PET parameters during treatment. Parameter Cut point HR (95% CI) P-value C-index (95% CI) PSMA vol , baseline > 28 ml 5.59 (2.77 – 11.27) < 0.001 0.88 (0.81 – 0.96) SUV mean , baseline < 13.2 2.00 (0.96 – 4.15) 0.06 0.29 (0.13 – 0.45) SUV max , baseline > 71 2.18 (1.23 – 3.86) 0.007 0.69 (0.57 – 0.82) PSA, baseline > 3.9 ng/ml 3.53 (1.75 – 7.13) < 0.001 0.80 (0.69 – 0.92) PSMA vol , relative change > -21 % 4.48 (2.80 – 7.17) < 0.001 0.85 (0.78 – 0.91) SUV max , relative change > -70 % 2.42 (1.50 – 3.82) < 0.001 0.76 (0.67 – 0.86) SUV mean , relative change > -44 % 5.98 (2.57 – 13.88) < 0.001 0.85 (0.73 – 0.98) PSA, relative change > -97 % 7.03 (3.20 – 15.43) < 0.001 0.94 (0.88 – 0.99)
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (14)
Stephan Skawran
University Hospital Zurich, Zurich, Switzerland
Andrei Gafita
Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD
Theo Lorenzini
2Division of Clinical Pharmacology, Ludwig Maximilian University Hospital, Ludwig Maximilian University Munich, Member of the German Center for Lung Research, Munich, Germany
Sebastian Hoberück
Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
Francesco Mattana
Division of Nuclear Medicine and Theranostics, IEO European Institute of Oncology, IRCCS, Milan, Italy
Andrea Di Giorgio
Nuclear Medicine, Alma Mater Studiorum University of Bologna, Bologna, Italy
Matthias Miederer
Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
Channing Judith Paller
Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine, Baltimore, MD
Loic Djaileb
Lilja B Solnes
Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD
Andrea Farolfi
Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
Francesco Ceci
IEO European Institute of Oncology IRCCS, University of Milan, Milan, Italy
Matthias Eiber
Andrew F Voter
Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD