In a recent interview, Bridget Koontz, M.D., discussed the capability of the PET imaging agent 18F-flotufolastat for diagnosing post-prostatectomy recurrence of prostate cancer in patients with PSA values less than 1 ng/mL, based on research presented at the American Society for Radiation Oncology (ASTRO) conference.
The positron emission tomography (PET) agent 18F-flotufolastat detected has a nearly 75 percent detection rate for recurrent prostate cancer in patients with prostate-specific antigen (PSA) levels of less than 1 ng/mL, according to research presented at the American Society for Radiation Oncology (ASTRO) conference.
In a recent interview, Bridget Koontz, M.D., the lead author of the post-hoc analysis from the SPOTLIGHT trial, said delayed renal clearance with 18F-flotufolastat (Posluma, Blue Earth Diagnostics) provides a unique advantage in this patient population in comparison to other imaging agents.
“Excretion into the bladder is slower (with 18F-flotufolastat) than some of the other agents out there … so you don't get sort of a cloud of urinary uptake that can blur … when we're trying to see what's happening in the prostate or in the prostate bed. That is a big advantage for low PSA patients, because they're less likely to have metastatic disease and, frankly, more likely in the post prostatectomy space to have prostate bed recurrence,” emphasized Dr. Koontz, the medical director of radiation oncology at AdventHealth Cancer Institute in Orlando, Fla.
(Editor’s note: For related content, see “Study: 18F-Flotufolastat PET Imaging Changes Treatment in 89 Percent of Patients with Prostate Cancer Recurrence,” “Recurrent Prostate Cancer and Low PSA Levels: Can an Emerging PSMA PET Agent Have an Impact?” and “Optimal Timing and Frequency of Imaging Agents Used in the Detection and Characterization of Oligometastatic Prostate Cancer.”)
In addition to an overall 69 percent detection rate in those with a pSA level of less than 1 ng/mL, the researchers found a 74 percent detection rate of PCa recurrence in patients with PSA levels between 0.5 ng/mL < 1 ng/mL. Dr. Koontz pointed out that 18F-flotufolastat maintained high detection rates with even lower PSA levels, noting a 67 percent rate in those with PSA levels 0.3 ng/mL < 0.5 ng/mL and a 68 percent rate when PSA levels were 0.2 ng/mL < 0.3 ng/mL.
(Editor's note: For additional content on prostate cancer imaging, visit here.)
For more insights from Dr. Koontz, watch the video below.
Reference
1. Koontz BF, Lowentritt B, Jani AB, et al. 18F-flotufolastat detection rates in the pelvis region for patients with prostate cancer recurrence after radical prostatectomy and PSA levels < 1 ng/mL: data from the phase 3 SPOTLIGHT study. Presented at the American Society for Radiation Oncology (ASTRO) 2024 Annual Meeting, September 29-October 2, 2024. Available at: https://www.astro.org/meetings-and-education/micro-sites/2024/annual-meeting .
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Can AI Enhance PET/MRI Assessment for Extraprostatic Tumor Extension in Patients with PCa?
December 17th 2024The use of an adjunctive machine learning model led to 17 and 21 percent improvements in the AUC and sensitivity rate, respectively, for PET/MRI in diagnosing extraprostatic tumor extension in patients with primary prostate cancer.
What SPECT/CT May Reveal About Early Treatment Response for Pluvicto in Patients with mCRPC
November 13th 2024Researchers found that new prostate lesion detection on SPECT/CT at the beginning of a second cycle of 177 Lu-PSMA-617 for mCRPC was associated with an over sevenfold higher mortality risk.
AI Segmentation, Intraprostatic Tumor Volume and Metastases: What a New mpMRI Study Reveals
October 29th 2024For patients who received radiotherapy for localized prostate cancer, total intraprostatic tumor volume derived from AI segmentation had a 10 percent higher AUC for predicting seven-year metastases in comparison to a risk model from the National Comprehensive Cancer Network (NCCN).