ArticleScientific reports2020
Prediction of prostate cancer Gleason score upgrading from biopsy to radical prostatectomy using pre-biopsy multiparametric MRI PIRADS scoring system.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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40 citing papers in PubMed, 63 citations in OpenAlex.
- Predicting the upgrading of the International Society of Urological Pathology Grade Group in nonclinically significant prostate cancer: a multicenter observational study.Asian journal of andrology · 2026Observational
- Development and internal validation of a multivariable prediction model for Gleason score upgrading after radical prostatectomy in patients with biopsy ISUP Grade Group 1 prostate cancer.Translational andrology and urology · 2026Article
- Underestimation of Prostate Cancer Grade in Transperineal Fusion Biopsy and Its Predictive Factors: Correlation of Biopsy Findings with Post-Da Vinci Radical Prostatectomy Specimens.Journal of clinical medicine · 2026Article
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- Radical prostatectomy outcomes in patients with PI-RADS 5 lesions and favorable prostate cancer.World journal of urology · 2025Article
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- Article
- Pathological Assessment of Men with Grade Group 2 Prostate Cancer.The world journal of men's health · 2025Article
- Post-Treatment Imaging in Focal Therapy: Understanding TARGET and PI-FAB Scoring Systems.Diagnostics (Basel, Switzerland) · 2025Review
- The nomogram of contrast-enhanced ultrasound-targeted fusion biopsy predicts the pathology upgrade in prostate cancer.Frontiers in oncology · 2025Article
- Role of Systematic Biopsy in the Era of Targeted Biopsy: A Review.Current oncology (Toronto, Ont.) · 2024Review
- Can a nomogram predict apical prostate cancer pathology upgrade from fusion biopsy to final pathology? A multicenter study.Cancer medicine · 2024Article
- Radiogenomics Map-Based Molecular and Imaging Phenotypical Characterization in Localised Prostate Cancer Using Pre-Biopsy Biparametric MR Imaging.International journal of molecular sciences · 2024Article
- Catalyzing Precision Medicine: Artificial Intelligence Advancements in Prostate Cancer Diagnosis and Management.Cancers · 2024Review
- Machine learning prediction of Gleason grade group upgrade between in-bore biopsy and radical prostatectomy pathology.Scientific reports · 2024Article
- Risk factors for Gleason score upgrade from prostate biopsy to radical prostatectomy.Exploration of targeted anti-tumor therapy · 2024Review
- AI-predicted mpMRI image features for the prediction of clinically significant prostate cancer.International urology and nephrology · 2023Article
- Perilesional Targeted Biopsy Combined with MRI-TRUS Image Fusion-Guided Targeted Prostate Biopsy: An Analysis According to PI-RADS Scores.Diagnostics (Basel, Switzerland) · 2023Article
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- Intravoxel incoherent motion predicts positive surgical margins and Gleason score upgrading after radical prostatectomy for prostate cancer.La Radiologia medica · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An increase or 'upgrade' in Gleason Score (GS) in prostate cancer following Transrectal Ultrasound (TRUS) guided biopsies remains a significant challenge to overcome. to evaluate whether MRI has the potential to narrow the discrepancy of histopathological grades between biopsy and radical prostatectomy, three hundred and thirty men treated consecutively by laparoscopic radical prostatectomy (LRP) between July 2014 and January 2019 with localized prostate cancer were included in this study. Independent radiologists and pathologists assessed the MRI and histopathology of the biopsies and prostatectomy specimens respectively. A multivariate model was constructed using logistic regression analysis to assess the ability of MRI to predict upgrading in biopsy GS in a nomogram. A decision-analysis curve was constructed assessing impact of nomogram using different thresholds for probabilities of upgrading. PIRADS scores were obtained from MRI scans in all the included cases. In a multivariate analysis, the PIRADS v2.0 score significantly improved prediction ability of MRI scans for upgrading of biopsy GS (p = 0.001, 95% CI [0.06-0.034]), which improved the C-index of predictive nomogram significantly (0.90 vs. 0.64, p < 0.05). PIRADS v2.0 score was an independent predictor of postoperative GS upgrading and this should be taken into consideration while offering treatment options to men with localized prostate cancer.
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