Home » Health News » Cerenkov luminescence imaging identifies surgical margin status in radical prostatectomy
Cerenkov luminescence imaging identifies surgical margin status in radical prostatectomy
A new intraoperative imaging technique, Cerenkov luminescence imaging (CLI), can accurately assess surgical margins during radical prostatectomy, according to first-in-human research published in the October issue of the Journal of Nuclear Medicine. The feasibility study showed that 68Ga-PSMA CLI can image the entire excised prostate specimen’s surface to detect prostate cancer tissue at the resection margin.
Radical prostatectomy is one of the primary treatment options for men with localized prostate cancer. The goal of a radical prostatectomy is to completely resect the prostate without positive surgical margins. Incomplete removal of the cancer tissue during radical prostatectomy is often associated with poorer patient outcomes, including increased likelihood of recurrence and prostate cancer-related mortality.
Prostate-specific membrane antigen (PSMA) ligand positron emission tomography (PET) has emerged as an accurate tool to detect prostate cancer both in primary staging and at time of biochemical recurrence. As PET imaging agents also emit optical photons via a phenomenon called Cerenkov luminescence, researchers sought to evaluate the feasibility and diagnostic accuracy of CLI in detecting prostate cancer.
“Intraoperative radioguidance with CLI may help surgeons in the detection of extracapsular extension, positive surgical margins and lymph node metastases with the aim of increasing surgical precision,” stated Christopher Darr, Ph.D., resident at the Department of Urology of the University Medical Center Essen in Essen, Germany. “The intraoperative use of CLI would allow the examination of the entire prostate surface and provide the surgeon with real-time feedback on the resection margins.”
The single-center study included 10 patients with high-risk primary prostate cancer. 68Ga-PSMA PET scans were performed followed by radical prostatectomy and intraoperative CLI of the excised prostate. CLI images were analyzed postoperatively to determine regions of interest based on signal intensity, and tumor-to-background ratios were calculated. CLI tumor margin assessment was performed by analyzing elevated signals at the surface of the intact prostate images. To determine accuracy, tumor margin status as detected by CLI was compared to postoperative histopathology.
Tumor cells were successfully detected on the incised prostate CLI images and confirmed by histopathology. Three patients had positive surgical margins, and in two of the patients, elevated signal levels enabled correct identification on CLI. Overall, 25 out of 35 CLI regions of interest proved to visualize tumor signaling according to standard histopathology.