Reston, Va. -- A University of Michigan study published in the July issue of The Journal of Nuclear Medicine reports that the addition of molecular imaging based on F-18-choline positron emission tomography (PET) improves the identification of significant prostate cancer over multi-parametric prostate magnetic resonance imaging (mpMRI) alone for targeted transrectal prostate biopsies. MRI-guided biopsies already outperform standard, non-targeted biopsies. The addition of PET promises to improve targeted biopsies even further.
According to the National Cancer Institute, approximately 14 percent of men will be diagnosed with prostate cancer at some point during their lifetime. More than 2.5 million men are estimated to be living with prostate cancer in the United States.
Morand Piert,MD, professor of radiology in the Division of Nuclear Medicine at the University of Michigan, points out, "Our positive results suggest that in the future, PET/MRI may become a one-stop imaging test for men with suspected but undetected prostate cancer or for patients undergoing surveillance for known low-risk prostate cancer." He explains, "Since prostate cancer is often multi-focal and presents with multiple lesions of varying risk, it is important to identify the lesions that harbour the greatest malignant potential. Accurate identification of clinically significant cancer and avoidance of clinically insignificant cancer is the centrepiece of modern prostate cancer diagnosis."
As part of an ongoing prospective clinical trial, researchers studied 36 men with rising prostate-specific antigen (PSA) to assess the value of fusion F-18-choline PET/MRI for image-guided (targeted) prostate biopsies to detect significant prostate cancer, compared to standard (non-targeted, systematic 12-core) biopsies. The biopsy procedures were performed after registration of real-time transrectal ultrasound (TRUS) and included image-guided cores plus standard cores. Histological results were determined from standard and targeted biopsy cores, as well as prostatectomy specimens.
Fifteen subjects were ultimately identified with significant prostate cancer (Gleason ? 3+4), of which targeted biopsy identified 12, while standard biopsy identified only five. The figure shows a Gleason 3+4 prostate cancer (arrows) as identified on T2-weighted (A) and diffusion-weighted (B) MRI, F-18-choline PET (C), as well as PET/MRI (D). A total of 52 lesions were identified by mpMRI (19 low, 18 intermediate, and 15 high risk), and mpMRI-assigned risk was a strong predictor of final pathology (area under the curve (AUC) = 0.81; P < 0.001). Using the mean F-18-choline target-to-background ratio, the addition of F-18-choline to mpMRI significantly improved the prediction of Gleason ? 3+4 cancers over mpMRI alone (AUC = 0.92; p<0.001).
The study concluded that fusion PET/MRI-TRUS image registration for targeted prostate biopsies is clinically feasible and accurate, and the addition of F-18-choline PET to mpMRI improves identification of significant prostate cancer.
Piert notes, "The use of advanced imaging to inform placement of biopsy needles promises to greatly minimize the uncertainty associated with prostate cancer care. Imaging may one day be performed prior to biopsy and, if negative, no biopsy would be needed. To reach that future state, advanced imaging will need to have a superior negative predictive value that may not be obtainable with multi-parametric MRI alone. He adds, "Although we used F-18-choline PET in this trial, it is likely that other radiotracers, which are more specific for prostate cancer -- for example, those that target PSMA -- may hold even greater promise."
The peer-reviewed study was published in the July 2016 print issue of The Journal of Nuclear Medicine, and was posted online prior to review on March 16, 2016.
Authors of the article "18F-choline PET/MRI: The Additional Value of PET for MRI-guided Transrectal Prostate Biopsies" include Morand Piert, Jeffrey Montgomery, Lakshmi Priya Kunju, Javed Siddiqui, Virginia Rogers, Thekkelnaycke Rajendiran, Timothy D Johnson, Xia Shao, and Matthew S. Davenport, University of Michigan, Ann Arbor, Mich.
This study was supported by grants from the Department of Defense (DOD), no. PC110389, and grants NIH/ NCI P01CA87634 and P50CA069568.
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