Head-to-Head Comparison of 68 Ga-PSMA-11 PET/CT and mpMRI with a Histopathology Gold Standard in the Detection, Intraprostatic Localization, and Determination of Local Extension of Primary Prostate Cancer: Results from a Prospective Single-Center Imaging Trial

作者：Ida Sonni, Ely Felker, Andrew T. Lenis, Anthony Sisk, Shadfar Bahri, Martin Allen-Auerbach, Wesley R. Armstrong, Voraparee Suvannarerg, Teeravut Tubtawee, Tristan Grogan, David Elashoff, Matthias Eiber, Steven S. Raman, Johannes Czernin, Robert E. Reiter, Jérémie Calais · 发表于：Journal of Nuclear Medicine · 年份：2021 · DOI：10.2967/jnumed.121.262398 · 被引用次数：134 · 研究领域：Prostate Cancer Treatment and Research、Prostate Cancer Diagnosis and Treatment、Urologic and reproductive health conditions

The role of prostate-specific membrane antigen (PSMA)-targeted PET in comparison to mpMRI in the evaluation of intraprostatic cancer foci is not well defined. The aim of our study was to compare the diagnostic performances of PSMA PET/CT, mpMRI and PSMA PET/CT+mpMRI using 3 independent blinded readers for each modality and with histopathology as gold standard in the detection, intra-prostatic localization and local extension of primary prostate cancer. Methods: Patients with intermediate- or high-risk prostate cancer who underwent a PSMA PET/CT as part of the prospective trial (NCT03368547) and a mpMRI prior to radical prostatectomy were included. Each imaging modality was interpreted by 3 blinded independent readers unaware of the other modality result. Central majority rule was applied (2:1). Whole-mount pathology was used as the gold-standard. Imaging scans and whole-mount pathology were interpreted using the same standardized approach on a segment- and lesion-level. A “neighboring” approach was used to define imaging/pathology correlation for the detection of individual prostate cancer foci. Accuracy in determining the location, extraprostatic extension (EPE) and seminal vesicle invasion (SVI) of prostate cancer foci was assessed using receiver operating characteristic (ROC) analysis. Inter-reader agreement was calculated using inter-class coefficient (ICC) analysis. Results: The final analysis included 74 patients (14/74 ( 19%) intermediate risk and 60/74 (81%) high risk...