ReviewTomography (Ann Arbor, Mich.)2023
Computed Tomography Urography: State of the Art and Beyond.
Review in Tomography (Ann Arbor, Mich.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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Who cites it
18 citing papers in PubMed.
- Quantitative assessment of postoperative urinary jet dynamics after unilateral ureteral stricture reconstruction using non-contrast cine MR urography.Abdominal radiology (New York) · 2026Article
- Artificial intelligence advances in cystoscopy and imaging for bladder cancer: a narrative review.The Canadian journal of urology · 2026Review
- Not just two roads down: a multimodality radiologic-pathologic review of ureteral diseases.Abdominal radiology (New York) · 2026Review
- Global research trends in robot-assisted nephroureterectomy for upper tract urothelial carcinoma: a visualized bibliometric analysis.Journal of robotic surgery · 2026Article
- Spectral Computed Tomography Angiography in Visceral Artery Aneurysms: Technical Principles and Clinical Applications.Tomography (Ann Arbor, Mich.) · 2026Review
- The diagnostic performance of a noninvasive urine-based methylation biomarkers Vimentin/POU4F2 to detect bladder carcinoma.BMC cancer · 2025Article
- Prophylactic Ureteral Catheterization for Preventing Ureteral Injury in Colorectal Cancer Surgery.Journal of clinical medicine · 2025Article
- Comparison of computed tomography and guided bronchoscopy in the diagnosis of pulmonary nodules: A systematic review and meta-analysis.Open medicine (Warsaw, Poland) · 2025Article
- Dual-Energy CT as a Well-Established CT Modality to Reduce Contrast Media Amount: A Systematic Review from the Computed Tomography Subspecialty Section of the Italian Society of Radiology.Journal of clinical medicine · 2024Review
- Toward the Application of Dual-Energy Computed Tomography with Virtual Non-Hydroxyapatite Color-Coded Maps to Identify Traumatic Fractures in Daily Emergency Settings.Journal of imaging · 2024Article
- Deep-learning-based method for the segmentation of ureter and renal pelvis on non-enhanced CT scans.Scientific reports · 2024Article
- Microwave ablation followed by cTACE in 5-cm HCC lesions: does a single-session approach affect liver function?La Radiologia medica · 2024Article
- Extravasated contrast volumetric assessment on computed tomography angiography in gastrointestinal bleeding: A useful predictor of positive angiographic findings.World journal of radiology · 2024Article
- Local Diagnostic Reference Levels for Adult Computed Tomography Urography Exams.Diagnostics (Basel, Switzerland) · 2024Article
- The Clinical Utility of Lower Extremity Dual-Energy CT Angiography in the Detection of Bone Marrow Edema in Diabetic Patients with Peripheral Artery Disease.Journal of clinical medicine · 2024Article
- Article
- Neuro-Urology and Biobanking: An Integrated Approach for Advancing Research and Improving Patient Care.International journal of molecular sciences · 2023Review
- Deep Learning-Based Versus Iterative Image Reconstruction for Unenhanced Brain CT: A Quantitative Comparison of Image Quality.Tomography (Ann Arbor, Mich.) · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computed Tomography Urography (CTU) is a multiphase CT examination optimized for imaging kidneys, ureters, and bladder, complemented by post-contrast excretory phase imaging. Different protocols are available for contrast administration and image acquisition and timing, with different strengths and limits, mainly related to kidney enhancement, ureters distension and opacification, and radiation exposure. The availability of new reconstruction algorithms, such as iterative and deep-learning-based reconstruction has dramatically improved the image quality and reducing radiation exposure at the same time. Dual-Energy Computed Tomography also has an important role in this type of examination, with the possibility of renal stone characterization, the availability of synthetic unenhanced phases to reduce radiation dose, and the availability of iodine maps for a better interpretation of renal masses. We also describe the new artificial intelligence applications for CTU, focusing on radiomics to predict tumor grading and patients' outcome for a personalized therapeutic approach. In this narrative review, we provide a comprehensive overview of CTU from the traditional to the newest acquisition techniques and reconstruction algorithms, and the possibility of advanced imaging interpretation to provide an up-to-date guide for radiologists who want to better comprehend this technique.
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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 Socratic graph.