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The Prostate Imaging for Recurrence Reporting (PI-RR) system was introduced in 2021 to standardize the performance and interpretation of pelvic MRI after whole-gland treatment with radical prostatectomy (RP) or radiation therapy (RT). The Prostate Imaging Reporting and Data System (PI-RADS) defines technical and reporting standards for imaging prostate cancer before treatment. Although similar imaging techniques can be applied in assessing the treated prostate gland, the interpretation varies substantially between PI-RADS and PI-RR. With PI-RADS, T2-weighted and diffusion-weighted imaging are emphasized for cancer detection. After treatment, the emphasis shifts in PI-RR to detect recurrence with dynamic contrast enhancement (DCE) imaging. Focal early enhancement on DCE images, and to a lesser degree marked diffusion restriction, are the key MRI findings of recurrence after RP and RT. Using nomenclature similar to that of PI-RADS version 2.1, PI-RR uses established knowledge of recurrent prostate cancer MRI features and systematically codifies scoring elements. The authors discuss the PI-RR rationale, technical standards, and reporting guidelines. The scoring system for posttreatment MRI after RT and RP is reviewed, exploring the relevant T2-weighted, diffusion-weighted, and DCE features for both scenarios. The use of PI-RR is illustrated through instructive cases. Finally, pitfalls in the initial implementation of PI-RR and areas for future development are described. The goal is to provide a comprehensive reference for prostate MRI readers of all experience levels to use PI-RR in standardizing reporting of suspected recurrent prostate cancer. RSNA, 2025 See the invited commentary by Dias and Haider in this issue.
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http://dx.doi.org/10.1148/rg.240145 | DOI Listing |
Int Urol Nephrol
September 2025
Department of Urology, Brigham and Women's Hospital, Harvard Medical School, 45 Francis St, ASB II-3, Boston, MA, 02115, USA.
Background: With the advancement of MR-based imaging, prostate cancer ablative therapies have seen increased interest to reduce complications of prostate cancer treatment. Although less invasive, they do carry procedural risks, including rectal injury. To date, the medicolegal aspects of ablative therapy remain underexplored.
View Article and Find Full Text PDFObjective: To determine optimal CT perfusion (CTP) imaging parameters for evaluating the canine prostate and to assess the diagnostic utility of CTP combined with cytopathologic evaluation and B-Raf proto-oncogene (BRAF) gene mutation testing in dogs with prostate adenocarcinoma.
Methods: For this study, 10 male dogs were enrolled, comprising 4 healthy Beagles and 6 client-owned dogs with suspected prostatic neoplasia. Computed tomography perfusion was performed in the healthy dogs using varied contrast agent doses and injection durations.
Eur J Nucl Med Mol Imaging
September 2025
Department of PET-CT/MRI, NHC Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University Cancer Hospital, Harbin, 150081, Heilongjiang, China.
Objective: CXCR4 and integrin αβ play important roles in tumor biology and are highly expressed in multiple types of tumors. This study aimed to synthesize, preclinically evaluate, and clinically validate a novel dual-targeted PET imaging probe Ga-pentixafor-c(RGDfK) for its potential in imaging tumors.
Methods: The effects of Ga-pentixafor-c(RGDfK) on cell viability, targeting specificity, and affinity were assessed in the U87MG cells.
Radiother Oncol
September 2025
Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address:
Purpose: To predict metastasis-free survival (MFS) for patients with prostate adenocarcinoma (PCa) treated with androgen deprivation therapy (ADT) and external radiotherapy using clinical factors and radiomics extracted from primary tumor and node volumes in pre-treatment PSMA PET/CT scans.
Materials/methods: Our cohort includes 134 PCa patients (nodal involvement in 28 patients). Gross tumor volumes of primary tumor (GTVp) and nodes (GTVn) on CT and PET scans were segmented.
Rep Pract Oncol Radiother
August 2025
Department of Oncology and Radiotherapy, University Hospital Hradec Kralove, Hradec Kralove, Czech Republic.
Background: This study evaluates the quality of synthetic computed tomography (sCT) images for MR-only radiotherapy in prostate cancer using gamma analysis. A software tool, MRGamma, was developed to address challenges like the absence of electron density maps and registration uncertainties between magnetic resonance imaging (MRI) and planning CT (pCT).
Materials And Methods: Aplication developed in MATLAB assesses Hounsfield units (HU) discrepancies between CT and sCT images via 2D and 3D gamma analysis (GA).