ArticleEuropean radiology2017
Multiparametric magnetic resonance imaging characteristics of normal, benign and malignant conditions in the prostate.
Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Comparison of diagnostic performance and inter-reader agreement between PI-RADS v2.1 and PI-RADS v2: systematic review and meta-analysis.The British journal of radiology · 2022Pooled it
- Pooled it
- Prostate Imaging-Reporting and Data System Steering Committee: PI-RADS v2 Status Update and Future Directions.European urology · 2019Guideline
- Hyoscine butylbromide significantly decreases motion artefacts and allows better delineation of anatomic structures in mp-MRI of the prostate.European radiology · 2018Trial
- Habitat analysis based on magnetic resonance imaging for the prediction of prostate cancer: a dual-center study.Quantitative imaging in medicine and surgery · 2025Article
- Characterisation of Multiparametric Magnetic Resonance Imaging of the Prostate in Younger Men with Normal Prostate-specific Antigen Within the PROBASE Study.European urology open science · 2025Article
- Bacillus Calmette-Guérin Instillations May Mimic Prostate Cancer on Multiparametric Magnetic Resonance Imaging.Cureus · 2024Article
- A transfer learning nomogram for predicting prostate cancer and benign conditions on MRI.BMC medical imaging · 2023Article
- PI-RADS-Based Segmented Threshold of PSMA-PET SUVmax Is Better than Traditional Fixed Threshold for Diagnosing Clinically Significant Prostate Cancer Especially for PI-RADS 3 Lesions.Molecular imaging and biology · 2023Article
- Prostate imaging-reporting and data system version 2 in combination with clinical parameters for prostate cancer detection: a single center experience.International urology and nephrology · 2023Article
- Prostate multi-parametric magnetic resonance imaging appearance of diffuse adenosis of the peripheral zone (DAPZ).Urology case reports · 2022Article
- Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.Japanese journal of radiology · 2022Review
- Zonal anatomy of the prostate using magnetic resonance imaging, morphometrics, and radiomic features: impact of age-related changes.The British journal of radiology · 2022Article
- Machine Learning in Prostate MRI for Prostate Cancer: Current Status and Future Opportunities.Diagnostics (Basel, Switzerland) · 2022Review
- Development and validation of a predictive model for diagnosing prostate cancer after transperineal prostate biopsy.Frontiers in oncology · 2022Article
- MRI features of the normal prostatic peripheral zone: the relationship between age and signal heterogeneity on T2WI, DWI, and DCE sequences.European radiology · 2021Article
- Simplified PI-RADS (S-PI-RADS) for biparametric MRI to detect and manage prostate cancer: What urologists need to know.Turkish journal of urology · 2021Article
- Magnetic Resonance Imaging Based Radiomic Models of Prostate Cancer: A Narrative Review.Cancers · 2021Review
- Magnetic resonance imaging-guided prostate biopsy-A review of literature.Asian journal of urology · 2021Review
- Article
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Authors and funding
7 authors.
Funding
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Abstract
objectivesTo identify the multiparametric magnetic resonance imaging (mpMRI) characteristics of normal, benign and malignant conditions in the prostate.
methodsFifty-six histopathological whole-mount radical prostatectomy specimens from ten randomly selected patients with prostate cancer (PC) were matched with corresponding transverse mpMRI slices. The mpMRI was performed prior to biopsy and consisted of T2-weighted imaging (T2-WI), diffusion-weighted imaging (DWI), dynamic contrast-enhanced imaging (DCE) and magnetic resonance spectroscopic imaging (MRSI).
resultsIn each prostate specimen, a wide range of histopathological conditions were observed. They showed consistent but overlapping characteristics on mpMRI. Normal glands in the transition zone showed lower signal intensity (SI) on T2-WI, lower ADC values and lower citrate peaks on MRSI as compared to the peripheral zone (PZ) due to sparser glandular elements and more prominent collagenous fibres. In the PZ, normal glands were iso-intense on T2-WI, while high SI areas represented cystic atrophy. Mimickers of well-differentiated PC on mpMRI were inflammation, adenosis, HG-PIN and post-atrophic hyperplasia.
conclusionEach prostate is a unique mix of normal, benign and/or malignant areas that vary in extent and distribution resulting in very heterogeneous characteristics on mpMRI. Understanding the main concepts of this mpMRI-histopathological correlation may increase the diagnostic confidence in reporting mpMRI. KEYPOINTS: • In each prostate specimen a wide range of histopathological conditions was observed. • Interpretation of mpMRI may be difficult because benign conditions may mimic PC. • High signal intensity areas in the PZ on T2-WI represented cystic atrophy. • The TZ showed sparser glands and more collagenous fibres than the PZ.
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