ArticleThe British journal of radiology2018
Characterizing indeterminate (Likert-score 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multiparametric MRI.
Article in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Diagnostic performance of magnetic resonance imaging-targeted biopsy for PI-RADS ≥3 peripheral zone lesions in multiparametric prostate magnetic resonance imaging: correlation with clinically significant prostate cancer.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Article
- Development and validation of a novel nomogram predicting clinically significant prostate cancer in biopsy-naive men based on multi-institutional analysis.Cancer medicine · 2023Article
- Dynamic Contrast-Enhanced Study in the mpMRI of the Prostate-Unnecessary or Underutilised? A Narrative Review.Diagnostics (Basel, Switzerland) · 2023Review
- Transverse prostate maximum sectional area can predict clinically significant prostate cancer in PI-RADS 3 lesions at multiparametric magnetic resonance imaging.Frontiers in oncology · 2023Article
- Evaluating the performance of clinical and radiological data in predicting prostate cancer in prostate imaging reporting and data system version 2.1 category 3 lesions of the peripheral and the transition zones.International urology and nephrology · 2022Article
- Can machine learning-based analysis of multiparameter MRI and clinical parameters improve the performance of clinically significant prostate cancer diagnosis?International journal of computer assisted radiology and surgery · 2021Article
- Does Adding Standard Systematic Biopsy to Targeted Prostate Biopsy in PI-RADS 3 to 5 Lesions Enhance the Detection of Clinically Significant Prostate Cancer? Should All Patients with PI-RADS 3 Undergo Targeted Biopsy?Diagnostics (Basel, Switzerland) · 2021Article
- Article
- Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores.Quantitative imaging in medicine and surgery · 2020Article
- Multiparametric MRI for prostate cancer diagnosis: current status and future directions.Nature reviews. Urology · 2020Review
- Simplified Luminal Water Imaging for the Detection of Prostate Cancer From Multiecho TJournal of magnetic resonance imaging : JMRI · 2019Article
- Multi-parametric MRI zone-specific diagnostic model performance compared with experienced radiologists for detection of prostate cancer.European radiology · 2019Article
- Article
- Optimizing prostate cancer accumulating model: combined PI-RADS v2 with prostate specific antigen and its derivative data.Cancer imaging : the official publication of the International Cancer Imaging Society · 2019Article
- National implementation of multi-parametric magnetic resonance imaging for prostate cancer detection - recommendations from a UK consensus meeting.BJU international · 2018Article
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9 authors.
Funding
Abstract
objectiveTo determine whether indeterminate (Likert-score 3/5) peripheral zone (PZ) multiparametric MRI (mpMRI) studies are classifiable by prostate-specific antigen (PSA), PSA density (PSAD), Prostate Imaging Reporting And Data System version 2 (PI-RADS_v2) rescoring and morphological MRI features.
methodsMen with maximum Likert-score 3/5 within their PZ were retrospectively selected from 330 patients who prospectively underwent prostate mpMRI (3 T) without an endorectal coil, followed by 20-zone transperineal template prostate mapping biopsies ＋/- focal lesion-targeted biopsy. PSAD was calculated using pre-biopsy PSA and MRI-derived volume. Two readers A and B independently assessed included men with both Likert-assessment and PI-RADS_v2. Both readers then classified mpMRI morphological features in consensus. Men were divided into two groups: significant cancer (≥ Gleason 3 ＋ 4) or insignificant cancer (≤ Gleason 3 ＋ 3)/no cancer. Comparisons between groups were made separately for PSA & PSAD using Mann-Whitney test and morphological descriptors with Fisher's exact test. PI-RADS_v2 and Likert-assessment were descriptively compared and percentage inter-reader agreement calculated.
results76 males were eligible for PSA & PSAD analyses, 71 for PI-RADS scoring, and 67 for morphological assessment (excluding significant image artefacts). Unlike PSA (p = 0.915), PSAD was statistically different (p = 0.004) between the significant [median: 0.19 ng ml
conclusionPSAD may categorize presence of significant cancer in patients with Likert-scored 3/5 PZ mpMRI findings. Advances in knowledge: PSAD may be used in indeterminate PZ mpMRI to guide decisions between biopsy vs monitoring.
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