ArticleEuropean journal of nuclear medicine and molecular imaging2023
Development and external validation of a multivariable [
Article in European journal of nuclear medicine and molecular imaging, 2023. 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.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Prediction models in prostate cancer: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- The diagnostic value of radiomics-based machine learning for lymph node metastasis in prostate cancer: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- From reflex to reason: rethinking pelvic lymph node dissection in the PSMA PET Era.European journal of nuclear medicine and molecular imaging · 2026Article
- Guideline of guidelines: pelvic lymph node dissection at time of radical prostatectomy.BJU international · 2026Review
- Preoperative prediction of pathological pelvic lymph node metastasis in prostate cancer using an elastic net model integrating clinicopathologic andScientific reports · 2026Article
- [BJUI compass · 2026Article
- PSMA PET/CT-guided pelvic lymph node dissection in patients with unfavorable intermediate- or high-risk prostate cancer.The Canadian journal of urology · 2026Article
- Prostate specific membrane antigen (PSMA) as a biomarker in early and localized advanced prostate cancer: a narrative review.The Canadian journal of urology · 2026Review
- Prognostic value of PSMA PET/CT-Based local staging in predicting biochemical recurrence after radical prostatectomy.European journal of nuclear medicine and molecular imaging · 2026Article
- Cadaveric evidence on lymph node counts and grossing accuracy in pelvic lymph node dissection for prostate cancer staging.Scientific reports · 2025Article
- Development and evaluation of a lymph node invasion risk prediction model in intermediate- and high-risk prostate cancer patients.Acta oncologica (Stockholm, Sweden) · 2025Article
- External validation of nomograms including PSMA PET information for the prediction of lymph node involvement of prostate cancer.European journal of nuclear medicine and molecular imaging · 2025Article
- PSMA PET/CT based multimodal deep learning model for accurate prediction of pelvic lymph-node metastases in prostate cancer patients identified as candidates for extended pelvic lymph node dissection by preoperative nomograms.European journal of nuclear medicine and molecular imaging · 2025Article
- Utility of Machine Learning Models to Predict Lymph Node Metastasis of Japanese Localized Prostate Cancer.Cancers · 2024Article
- The association of quantitative PSMA PET parameters with pathologic ISUP grade: an international multicenter analysis.European journal of nuclear medicine and molecular imaging · 2024Article
- Can We Predict Skeletal Lesion on Bone Scan Based on Quantitative PSMA PET/CT Features?Cancers · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo develop and evaluate a lymph node invasion (LNI) prediction model for men staged with [
methodsA consecutive sample of intermediate to high-risk prostate cancer (PCa) patients undergoing [
resultsA combined model including prostate-specific antigen, biopsy Gleason grade group, [
conclusionsOur results indicate that information from [
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.