ArticleScientific reports2021
Revisiting extraprostatic extension based on invasion depth and number for new algorithm for substaging of pT3a prostate cancer.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 13 citations in OpenAlex.
- Integrating MRI-based tumour staging within the TNM classification system in modern prostate cancer management.Insights into imaging · 2026Review
- ESR Essentials: MRI-based T-staging in prostate cancer-practice recommendations by the European Society of Urogenital Radiology.European radiology · 2026Review
- Prostate imaging reporting and data system version 2.1 as a predictor of clinically significant and aggressive prostate cancer: a radical prostatectomy-validated study.Translational andrology and urology · 2026Article
- Review
- Impact of the PI-QUAL MRI quality score on histopathological up-staging from MRI fusion biopsy to final prostatectomy specimen.World journal of urology · 2025Article
- Article
- Predictors of biochemical recurrence after robot-assisted radical prostatectomy: single-centre analysis.Central European journal of urology · 2024Article
- Radiologic-pathologic correlation of prostatic cancer extracapsular extension (ECE).Insights into imaging · 2023Review
- Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning.Cancers · 2022Article
- Evaluating the effect of histopathological parameters of prostate adenocarcinoma on prognosis in radical prostatectomy specimens.Annals of Saudi medicineArticle
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Authors and funding
6 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Extraprostatic extension (EPE) is a factor in determining pT3a stage in prostate cancer. However, the only distinction in EPE is whether it is focal or non-focal, causing diagnostic and prognostic ambiguity. We substaged pT3a malignancies using classification of EPE to improve personalized prognostication. We evaluated 465 radical prostatectomy specimens with a digital image analyzer by measuring the number, radial distance and two-dimensional square area of the EPE. The most significant cut-off value was proposed as an algorithm for the pT3a substaging system to predict biochemical recurrence (BCR). A combination of the radial distance and the number of EPEs predicted BCR the most effectively. The optimal cut-off criteria were 0.75 mm and 2 mm in radial distance and multifocal EPE (hazard ratio: 2.526, C-index 0.656). The pT3a was subdivided into pT3a1, < 0.75 mm and any number of EPEs; pT3a2, 0.75-2 mm and one EPE; and pT3a3, > 2 mm and any number of EPEs or 0.75-2 mm and ≥ 2 EPEs. This combined tier was highly significant in the prediction of BCR-free survival. The combination of radial distance and number of EPEs could be used to subdivide pT3a prostate cancer and may aid in the prediction of BCR.
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