ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2020
Lymph Node Involvement in Treatment-Naïve Prostate Cancer Patients: Correlation of PSMA PET/CT Imaging and Roach Formula in 280 Men in Radiotherapeutic Management.
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- A systematic review and meta-analysis to evaluate the diagnostic accuracy of PSMA PET/CT in the initial staging of prostate cancer.Prostate cancer and prostatic diseases · 2025Pooled it
- 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
- Management of De Novo miN1 Prostate Cancer in the PSMA-PET Era.The Prostate · 2026Review
- PSMA PET/CT in the low- to intermediate-risk prostate cancer: when and why?Asian journal of andrology · 2024Article
- Automated segmentation of lesions and organs at risk on [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Plug inguinal hernia repair mimicking nodal spread of prostate cancer on PSMA-PET/CT.Radiology case reports · 2023Article
- Article
- The role of prostate-specific membrane antigen PET/computed tomography in the management of prostate cancer patients: could we ask for more?Current opinion in urology · 2022Review
- PSMA PET in Imaging Prostate Cancer.Frontiers in oncology · 2022Review
- Head-to-Head Comparison ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021Article
- Article
- Predicting the Risk of Metastases by PSMA-PET/CT-Evaluation of 335 Men with Treatment-Naïve Prostate Carcinoma.Cancers · 2021Article
- Limitations of abdominopelvic CT and multiparametric MR imaging for detection of lymph node metastases prior to radical prostatectomy.World journal of urology · 2021Article
- Artificial Intelligence Combined With Big Data to Predict Lymph Node Involvement in Prostate Cancer: A Population-Based Study.Frontiers in oncology · 2021Article
- The Establishment of New Thresholds for PLND-Validated Clinical Nomograms to Predict Non-Regional Lymph Node Metastases: UsingFrontiers in oncology · 2021Article
- Clinical outcome of PSMA-guided radiotherapy for patients with oligorecurrent prostate cancer.European journal of nuclear medicine and molecular imaging · 2021Article
- The Roach Equation: Value of Old Clinical Tools in the Era of New Molecular Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020Article
- Interobserver agreement of [EJNMMI research · 2020Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 2 countries.
Funding
Abstract
The importance of prostate-specific membrane antigen (PSMA) PET/CT for primary staging of treatment-naïve prostate cancer patients is still under debate. Therefore, the present study aimed to evaluate the role of PSMA PET/CT in detecting nodal metastases in a large cohort of men and compare imaging results with the risk of lymph node involvement based on the Roach formula.
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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.