Detection and delineation of intraprostatic lesions (IPLs) using multiparametric magnetic resonance imaging (mpMRI) and prostate specific membrane antigen positron emission tomography (PSMA PET) for patients with prostate cancer: A systematic review and meta-analysis.

Authors

Aneesh Dhar

Aneesh Dhar

London Regional Cancer Program, Western Univeristy, London, ON, Canada

Aneesh Dhar , Lucas Mendez , Jose de Jesus Cendejas-Gomez , Gabriel Boldt , Eric McArthur , Constantinos Zamboglou , Glenn Bauman

Organizations

London Regional Cancer Program, Western Univeristy, London, ON, Canada, London Regional Cancer Program, Western University, London, ON, Canada, London Health Sciences Centre, London, ON, Canada, Department of Oncology, London Regional Cancer Program, London, ON, Canada, German Oncology Center, Limassol, Cyprus, Department of Oncology, University of Western Ontario, London, ON, Canada

Research Funding

No funding sources reported

Background: External beam radiation therapy (EBRT) is a common treatment used for patients with prostate cancer, however, isolated local failures (ILFs) can occur in up to 13% of patients receiving EBRT. Most ILFs occur at the location of the previously known intraprostatic lesions (IPLs). The FLAME trial has shown improved cancer outcomes for patients treated with EBRT who receive a focal radiation boost to their IPL. Both mpMRI and PSMA PET can be used to localize IPL for these patients. Methods: A systematic review and meta-analysis was conducted for the use of mpMRI and PSMA PET for the detection and delineation of IPLs for patients with localized prostate cancer. Trials were included if patients received either mpMRI, PSMA PET, or both, prior to radical prostatectomy (RP). IPLs on RP specimens were used as the reference standard. The quality of the co-registration between imaging and histopathology was assessed as high or low for each study included in the systematic review. Outcomes that were recorded include sensitivity and specificity, among others. A meta-analysis was conducted using a bivariate model to determine the sensitivity, specificity, and area under the receiver operating curve (AUROC) of mpMRI, PSMA PET, and their combination. This systematic review was registered through PROSPERO (CRD42023389092). Results: After exclusions, 20 studies were incorporated into the bivariate meta-analysis. In total, there were 13 studies using mpMRI (n = 541 patients), 12 studies that used PSMA PET (n = 327), and 5 studies that used a combination (n = 180). The pooled sensitivity (95% CI), specificity (95% CI) and AUROC for mpMRI were 64.7% (50.2% – 76.9%), 86.4% (79.7% - 91.1%), and 0.852; the pooled outcomes for PSMA PET were 75.7% (64.0% - 84.5%), 87.1% (80.2% - 91.9%), and 0.889; for their combination, the pooled outcomes were 70.3% (64.1% - 75.9%), 81.9% (71.9% - 88.8%), and 0.796. When reviewing studies with a high-quality co-registration between imaging and histopathology, IPL delineation recommendations included using a 1-2 mm margin when delineating on mpMRI, using a SUV max threshold of 20-30% for PSMA PET, and using the union of mpMRI and PSMA PET when using both modalities. Conclusions: In this study, we conducted a meta-analysis of studies that used mpMRI, PSMA PET or their combination prior to RP for patients with localized prostate cancer. The pooled sensitivity and specificity for each modality had overlapping 95% confidence intervals, suggesting the modalities have similar accuracy in detecting IPLs on RP specimens. There were different delineation recommendations based on the imaging modalities used in studies with a high-quality co-registration of imaging and histopathology.

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Abstract Details

Meeting

2024 ASCO Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session A: Prostate Cancer

Track

Prostate Cancer - Advanced,Prostate Cancer - Localized

Sub Track

Diagnostics and Imaging

Citation

J Clin Oncol 42, 2024 (suppl 4; abstr 287)

DOI

10.1200/JCO.2024.42.4_suppl.287

Abstract #

287

Poster Bd #

L22

Abstract Disclosures

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