ArticleEuropean radiology2018
Preoperative multiparametric MRI of the prostate for the prediction of lymph node metastases in prostate cancer patients treated with extended pelvic lymph node dissection.
Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- The predictive value of machine learning and nomograms for lymph node metastasis of prostate cancer: a systematic review and meta-analysis.Prostate cancer and prostatic diseases · 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
- Targeted pelvic lymph node dissection using magnetic resonance imaging - ultrasonography fusion technique and indocyanine green injection in robot-assisted radical prostatectomy.Journal of robotic surgery · 2026Article
- The influence of extraprostatic extension grade on the detection of pelvic lymph node metastasis in prostate cancer.Frontiers in oncology · 2025Article
- Utility of Machine Learning Models to Predict Lymph Node Metastasis of Japanese Localized Prostate Cancer.Cancers · 2024Article
- Biparametric MRI of the prostate radiomics model for prediction of pelvic lymph node metastasis in prostate cancers : a two-centre study.BMC medical imaging · 2024Article
- The role and controversy of pelvic lymph node dissection in prostate cancer treatment: a focused review.World journal of surgical oncology · 2024Review
- Risk factors for Gleason score upgrade from prostate biopsy to radical prostatectomy.Exploration of targeted anti-tumor therapy · 2024Review
- A Review of Modern Imaging Landscape for Prostate Cancer: A Comprehensive Clinical Guide.Journal of clinical medicine · 2023Review
- Prediction of pelvic lymph node metastases and PSMA PET positive pelvic lymph nodes with multiparametric MRI and clinical information in primary staging of prostate cancer.European journal of radiology open · 2023Article
- Preoperative prediction of pelvic lymph nodes metastasis in prostate cancer using an ADC-based radiomics model: comparison with clinical nomograms and PI-RADS assessment.Abdominal radiology (New York) · 2022Article
- Accuracy of 68Ga-PSMA PET-CT and PET-MRI in lymph node staging for localized prostate cancer.Einstein (Sao Paulo, Brazil) · 2022Article
- Current Opinion on the Use of Magnetic Resonance Imaging in Staging Prostate Cancer: A Narrative Review.Cancer management and research · 2022Review
- Article
- Peri-prostatic adipose tissue measurements using MRI predict prostate cancer aggressiveness in men undergoing radical prostatectomy.Journal of endocrinological investigation · 2021Article
- A Genomic-Clinicopathologic Nomogram for the Prediction of Lymph Node Invasion in Prostate Cancer.Journal of oncology · 2021Article
- A comparison betweenAbdominal radiology (New York) · 2020Article
- All change in the prostate cancer diagnostic pathway.Nature reviews. Clinical oncology · 2020Review
- Preoperative PI-RADS Version 2 scores helps improve accuracy of clinical nomograms for predicting pelvic lymph node metastasis at radical prostatectomy.Prostate cancer and prostatic diseases · 2020Article
- Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo assess the role of preoperative multiparametric MRI (mpMRI) of the prostate in the prediction of nodal metastases in patients treated with radical prostatectomy (RP) and extended pelvic lymph node dissection (ePLND).
methodsWe retrospectively analyzed 101 patients who underwent both preoperative mpMRI of the prostate and RP with ePLND at our institution. For each patient, complete preoperative clinical data and tumour characteristics at mpMRI were recorded. Final histopathologic stage was considered the standard of reference. Univariate and multivariate logistic regression analyses were performed.
resultsNodal metastases were found in 23/101 (22.8%) patients. At univariate analyses, all clinical and radiological parameters were significantly associated to nodal invasion (all p<0.03); tumour volume at MRI (mrV), tumour ADC and tumour T-stage at MRI (mrT) were the most accurate predictors (AUC = 0.93, 0.86 and 0.84, respectively). A multivariate model including PSA levels, primary Gleason grade, mrT and mrV showed high predictive accuracy (AUC = 0.956). Observed prevalence of nodal metastases was very low among tumours with mrT2 stage and mrV<1cc (1.8%).
conclusionPreoperative mpMRI of the prostate can predict nodal metastases in prostate cancer patients, potentially allowing a better selection of candidates to ePLND. KEY POINTS: • Multiparametric-MRI of the prostate can predict nodal metastases in prostate cancer • Tumour volume and stage at MRI are the most accurate predictors • Prevalence of nodal metastases is low for T2-stage and <1cc tumours • Preoperative mpMRI may allow a better selection of candidates to lymphadenectomy.
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