Results
Title

Quantitative characterisation of clinically significant intra-prostatic cancer by prostate-specific membrane antigen (PSMA) expression and cell density on PSMA-11.

Authors

Domachevsky, Liran; Goldberg, Natalia; Bernstine, Hanna; Nidam, Meital; Groshar, David

Abstract

Objectives: To quantitatively characterize clinically significant intra-prostatic cancer (IPC) by prostate-specific membrane antigen (PSMA) expression and cell density on PSMA-11 positron emission tomography/magnetic resonance (PET/MR).Methods: Retrospective study approved by the institutional review board with informed written consent obtained. Patients with a solitary, biopsy-proven prostate cancer, Gleason score (GS) ≥7, presenting for initial evaluation by PET/computerised tomography (PET/CT), underwent early prostate PET/MR immediately after PSMA-11 tracer injection. PET/MR [MRI-based attenuation correction (MRAC)] and PET/CT [CT-based AC (CTAC)] maximal standardised uptake value (SUVmax) and minimal and mean apparent diffusion coefficient (ADCmin, ADCmean; respectively) in normal prostatic tissue (NPT) were compared to IPC area. The relationship between SUVmax, ADCmin and ADCmean measurements was obtained.Results: Twenty-two patients (mean age 69.5±5.0 years) were included in the analysis. Forty-four prostate areas were evaluated (22 IPC and 22 NPT). Median MRAC SUVmax of NPT was significantly lower than median MRAC SUVmax of IPC (p Conclusions: PET/MR SUVmax, ADCmin and ADCmean are distinct biomarkers able to differentiate between IPC and NPT in naïve prostate cancer patients with GS ≥ 7.Key Points: • PSMA PET/MR metrics differentiate between normal and tumoural prostatic tissue. • A multi-parametric approach combining molecular and anatomical information might direct prostate biopsy. • PSMA PET/MR metrics are warranted for radiomics analysis.

Subjects

PROSTATE cancer; POSITRON emission tomography; MAGNETIC resonance imaging; COMPUTED tomography; PROSTATE biopsy; ANTIGENS; BIOPSY; PROGNOSIS; PROSTATE; PROSTATE tumors; PROTEOLYTIC enzymes; CYTOMETRY; RETROSPECTIVE studies; TUMOR grading; DIAGNOSIS

Publication

European Radiology, 2018, Vol 28, Issue 12, p5275

ISSN

0938-7994

Publication type

Academic Journal

DOI

10.1007/s00330-018-5484-1