ReviewNature reviews. Urology2019
Understanding, justifying, and optimizing radiation exposure for CT imaging in nephrourology.
Review in Nature reviews. Urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Diagnostic value of CT scans in pediatric patients with acute non-traumatic altered mental status: a systematic review and meta-analysis.European journal of pediatrics · 2025Pooled it
- Feasibility of reducing radiation dose and contrast dose while improving image quality in dual-energy CT pulmonary angiography : Use of low-energy virtual monochromatic images with deep learning image reconstruction algorithm.Radiologie (Heidelberg, Germany) · 2026Article
- Ultralow-dose X-ray imaging enabled by vertically homogeneous perovskite films.National science review · 2026Article
- Robot-Assisted Anderson-Hynes Pyeloplasty for Lower-Moiety Ureteropelvic Junction Obstruction in an Incomplete Duplex Collecting System Presenting as Dietl's Crisis: A Case Report.Children (Basel, Switzerland) · 2026Article
- Diagnostic Imaging for Suspected Nephrolithiasis in United States Emergency Departments.Urology practice · 2026Article
- Upper Tract Urothelial Carcinoma: An Update on Current Diagnostic Modalities and Emerging Biomarkers.Journal of personalized medicine · 2026Review
- Automatic classification of kidney stone components based on smartphone microscopy and the GoogLeNet model.BMC urology · 2026Article
- SADiff: A Sinogram-Aware Diffusion Model for Low-Dose CT Image Denoising.Journal of imaging informatics in medicine · 2025Article
- Reno-protective CT contrast nanoagent targets proximal tubular epithelium for kidney disease imaging and repair in a mouse model.Nature communications · 2025Article
- The role of endoscopic evaluation of stone-free status at the end of retrograde intrarenal surgery. Should we trust ourselves? Prospective data over 5 years from a referral stone centre.World journal of urology · 2025Article
- Article
- Comprehensive Review of Multidetector Computed Tomography (MDCT) in the Assessment of Blunt Cervical Spine Trauma in Adults.Journal of pharmacy & bioallied sciences · 2025Review
- Qualitative and Quantitative Evaluation of the Image Quality of MDCT Multiphasic Liver Scans in HCC Patients.International journal of biomedical imaging · 2025Article
- Radiation exposure in recurrent medical imaging: identifying drivers and high-risk populations.Frontiers in public health · 2025Review
- Imaging Approaches in Cancer Biology.Cold Spring Harbor perspectives in medicine · 2024Review
- Article
- A three miRNAs panel in paraffin tissue serves as tool for predicting prognosis of renal cell carcinoma.Frontiers in oncology · 2024Article
- Evaluating the Necessity and Radiation Risk of Brain CT Scans Requested by the Trauma Emergency Department.Journal of biomedical physics & engineering · 2023Article
- A Blood-Responsive AIE Bioprobe for the Ultrasensitive Detection and Assessment of Subarachnoid Hemorrhage.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Two-layer analytical model for estimation of layer thickness and flow using Diffuse Correlation Spectroscopy.PloS one · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
An estimated 4-5 million CT scans are performed in the USA every year to investigate nephrourological diseases such as urinary stones and renal masses. Despite the clinical benefits of CT imaging, concerns remain regarding the potential risks associated with exposure to ionizing radiation. To assess the potential risk of harmful biological effects from exposure to ionizing radiation, understanding the mechanisms by which radiation damage and repair occur is essential. Although radiation level and cancer risk follow a linear association at high doses, no strong relationship is apparent below 100 mSv, the doses used in diagnostic imaging. Furthermore, the small theoretical increase in risk of cancer incidence must be considered in the context of the clinical benefit derived from a medically indicated CT and the likelihood of cancer occurrence in the general population. Elimination of unnecessary imaging is the most important method to reduce imaging-related radiation; however, technical aspects of medically justified imaging should also be optimized, such that the required diagnostic information is retained while minimizing the dose of radiation. Despite intensive study, evidence to prove an increased cancer risk associated with radiation doses below ~100 mSv is lacking; however, concerns about ionizing radiation in medical imaging remain and can affect patient care. Overall, the principles of justification and optimization must remain the basis of clinical decision-making regarding the use of ionizing radiation in medicine.
Indexed as
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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.