ArticleInternational urology and nephrology2019
Predicting side-specific prostate cancer extracapsular extension: a simple decision rule of PSA, biopsy, and MRI parameters.
Article in International urology and nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- MRI-based nomograms and radiomics in presurgical prediction of extraprostatic extension in prostate cancer: a systematic review.Abdominal radiology (New York) · 2023Pooled it
- The Role of Magnetic Resonance Imaging and Positron Emission Tomography/Computed Tomography in the Primary Staging of Newly Diagnosed Prostate Cancer: A Systematic Review of the Literature.European urology oncology · 2021Pooled it
- Review
- Exploring the use of preoperative MRI for assessing the anatomical location of positive surgical margin at robot-assisted radical prostatectomy (RARP).World journal of urology · 2026Article
- Predictive Factors for Extracapsular Extension of Prostate Cancer to Select the Candidates for Nerve-sparing Radical Prostatectomy.Indian journal of surgical oncology · 2024Article
- Prostate Biopsy in the Case of PIRADS 5-Is Systematic Biopsy Mandatory?Journal of clinical medicine · 2023Article
- Diagnostic performance of prediction models for extraprostatic extension in prostate cancer: a systematic review and meta-analysis.Insights into imaging · 2023Review
- Predictors of Extraprostatic Extension in Patients with Prostate Cancer.Journal of clinical medicine · 2023Article
- 3D-Reconstructed Contact Surface Area and Tumour Volume on Magnetic Resonance Imaging Improve the Prediction of Extraprostatic Extension of Prostate Cancer.Journal of digital imaging · 2023Article
- Intraobserver and Interobserver Agreement between Six Radiologists Describing mpMRI Features of Prostate Cancer Using a PI-RADS 2.1 Structured Reporting Scheme.Life (Basel, Switzerland) · 2023Article
- Not as black as it is painted? The impact of the first wave of COVID-19 pandemic on surgical treatment of urological cancer patients in Poland - a cross-country experience.Archives of medical science : AMS · 2023Article
- Prediction of extracapsular extension in prostate cancer using the Likert scale combined with clinical and pathological parameters.Frontiers in oncology · 2023Article
- E-Cadherin, Integrin Alpha2 (Cd49b), and Transferrin Receptor-1 (Tfr1) Are Promising Immunohistochemical Markers of Selected Adverse Pathological Features in Patients Treated with Radical Prostatectomy.Journal of clinical medicine · 2021Article
- The absolute tumor-capsule contact length in the diagnosis of extraprostatic extension of prostate cancer.Abdominal radiology (New York) · 2021Article
- Article
- External validation of a magnetic resonance imaging-based algorithm for prediction of side-specific extracapsular extension in prostate cancer.Central European journal of urology · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop an easy-to-use side-specific tool for the prediction of prostate cancer extracapsular extension (ECE) using clinical, biopsy, and MRI parameters. MATERIALS AND
methodsRetrospective analysis of patients who underwent radical prostatectomy preceded by staging multiparametric MRI of the prostate was performed. Multivariate logistic regression analysis was used to choose independent predictors of ECE. Continuous variables were transformed to categorical ones by choosing threshold values using spline knots or testing thresholds used in previously described models. Internal validation of the rule was carried out as well as validation of other algorithms on our group was performed.
resultsIn the analyzed period of time, 88 out of 164 patients who underwent radical prostatectomy met inclusion criteria. ECE was evidenced at radical prostatectomy in 41 patients (46.6%) and in 53 lobes (30.1%). In the multivariate analysis PSA, total percentage of cancerous tissue in cores (%PCa) and maximum tumour diameter (MTD) of Likert 3-5 lesions on MRI were independent predictors of ECE. The following rule for predicting side-specific ECE was proposed: %PCa ≥ 15% OR MTD ≥ 15 mm OR PSA ≥ 20 ng/mL. Internal validation of the algorithm revealed safe lower confidence limits for sensitivity and NPV, proving that model offers accurate risk grouping that can be safely used in decision-making.
conclusionThe rule developed in this study makes ECE prediction fast, intuitive, and side-specific. However, until validated externally it should be used with caution.
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