ReviewTranslational andrology and urology2018
Evaluation of lymph node status in patients with urothelial carcinoma-still in search of the perfect imaging modality: a systematic review.
Review in Translational andrology and urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Radiomics and deep learning in upper tract urothelial carcinoma: advancing preoperative risk stratification and clinical decision-making.Frontiers in oncology · 2026Review
- Article
- Diagnostic value of preoperative computed tomography-urography combined with inflammatory markers in predicting lymph node metastasis in patients undergoing radical cystectomy.Bladder (San Francisco, Calif.) · 2025Article
- The Added-value of StagingMolecular imaging and radionuclide therapy · 2024Article
- A deep learning model for lymph node metastasis prediction based on digital histopathological images of primary endometrial cancer.Quantitative imaging in medicine and surgery · 2023Article
- Optimization of Preoperative Lymph Node Staging in Patients with Muscle-Invasive Bladder Cancer Using Radiomics on Computed Tomography.Journal of personalized medicine · 2022Article
- Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning.BME frontiers · 2022Article
- Delayed post-diureticJournal of Cancer · 2020Article
- The Rise of Extracellular Vesicles as New Age Biomarkers in Cancer Diagnosis: Promises and Pitfalls.Technology in cancer research & treatmentReview
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While accurate lymph node status evaluation in urothelial carcinoma patients is essential for the correct disease staging and, hence, establishing the most beneficial treatment strategy, the diagnostic performance of routine imaging in regards to this issue is not satisfactory. For the purpose of this article, we systematically reviewed the contemporary literature on the sensitivity and specificity of particular imaging modalities which have been studied for detecting lymph node metastases in patients diagnosed with urothelial carcinoma. The evidence reviewed shows that computed tomography (CT), although recognized as the imaging modality of choice, is associated with marked limitations, resulting in its low sensitivity for lymph node involvement detection in urothelial carcinoma patients, with no study reporting a value higher than 46% using standard cut-off values. Markedly higher sensitivity rates may be achieved with magnetic resonance imaging (MRI), especially when using ultrasmall superparamagnetic iron oxide as the contrast agent, however, no uniform protocol has been systematically studied up to date. The vast majority of recent evidence concerns positron emission tomography (PET), which is being reported to improve the diagnostic performance of CT alone, as has been demonstrated in multiple articles, which investigated the accuracy of PET/CT at primary or post-treatment staging of urothelial carcinoma patients. However, there has been substantial heterogeneity in terms of methodology and results between those studies, making it premature to draw any definitive conclusions. The results of this review lead to a conclusion, that while CT, despite being not fully satisfactory, still remains the gold-standard method of imaging for staging purposes in urothelial carcinoma, other imaging modalities are under investigation, with promising results.
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