ArticleRadiology2016
CT Image Contrast of High-Z Elements: Phantom Imaging Studies and Clinical Implications.
Article in Radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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
44 citing papers in PubMed, 104 citations in OpenAlex.
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- Material Composition and Implantation Site Affect in vivo Device Degradation Rate.Research square · 2026Article
- The potential of high-Z contrast media for vessel visualization near metal implants: a photon-counting detector CT phantom study with virtual monoenergetic images and iterative metal artifact reduction.Quantitative imaging in medicine and surgery · 2026Article
- Gram-Scale Synthesis of Hafnium-Rich Carbon Dots for Preclinical Computed Tomography Imaging Across Various Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Hypersensitive detection of single millimeter vascular emboli from adhesive in vivo.Nature communications · 2026Article
- An in silico evaluation of signal and separability properties of k-edge materials in spectral CT.Scientific reports · 2026Article
- Surface Engineering of MXenes for Biomedical Uses: Functionalization Strategies and Application Trends.Biomaterials research · 2026Review
- Targetable Biomimetic NIR-II Theranostic Nanoplatform for Highly Efficient Multimodal Imaging-Guided Photothermal Therapy of Cervical Cancer.International journal of nanomedicine · 2026Article
- Metal artifact reduction and contrast agent performance as a function of source spectral shape.Physics in medicine and biology · 2025Article
- Insights into nanoparticle surface bonding and coating architecture via multinuclear NMR.Academia nano : science, materials, technology · 2025Article
- Computed tomography technologies to measure key structural features of polymeric biomedical implants from bench to bedside.Journal of biomedical materials research. Part A · 2024Article
- Novel intravascular tantalum oxide-based contrast agent achieves improved vascular contrast enhancement and conspicuity compared to Iopamidol in an animal multiphase CT protocol.European radiology experimental · 2024Article
- Material Composition and Implantation Site Affect in vivo Device Degradation Rate.bioRxiv : the preprint server for biology · 2024Article
- Evaluation of hafnium oxide nanoparticles imaging characteristics as a contrast agent in X-ray computed tomography.Radiological physics and technology · 2024Article
- Non-invasive fast assessment of hepatic injury through computed tomography imaging with renal-clearable Bi-DTPA dimeglumine.Regenerative biomaterials · 2024Article
- Incorporating Tantalum Oxide Nanoparticles into Implantable Polymeric Biomedical Devices for Radiological Monitoring.Advanced healthcare materials · 2023Article
- Roles of MXenes in biomedical applications: recent developments and prospects.Journal of nanobiotechnology · 2023Review
- Incorporating Radiopacity into Implantable Polymeric Biomedical Devices for Clinical Radiological Monitoring.bioRxiv : the preprint server for biology · 2023Article
- Spectral computed tomography with inorganic nanomaterials: State-of-the-art.Advanced drug delivery reviews · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo quantify the computed tomographic (CT) image contrast produced by potentially useful contrast material elements in clinically relevant imaging conditions. MATERIALS AND
methodsEqual mass concentrations (grams of active element per milliliter of solution) of seven radiodense elements, including iodine, barium, gadolinium, tantalum, ytterbium, gold, and bismuth, were formulated as compounds in aqueous solutions. The compounds were chosen such that the active element dominated the x-ray attenuation of the solution. The solutions were imaged within a modified 32-cm CT dose index phantom at 80, 100, 120, and 140 kVp at CT. To simulate larger body sizes, 0.2-, 0.5-, and 1.0-mm-thick copper filters were applied. CT image contrast was measured and corrected for measured concentrations and presence of chlorine in some compounds.
resultsEach element tested provided higher image contrast than iodine at some tube potential levels. Over the range of tube potentials that are clinically practical for average-sized and larger adults-that is, 100 kVp and higher-barium, gadolinium, ytterbium, and tantalum provided consistently increased image contrast compared with iodine, respectively demonstrating 39%, 56%, 34%, and 24% increases at 100 kVp; 39%, 66%, 53%, and 46% increases at 120 kVp; and 40%, 72%, 65%, and 60% increases at 140 kVp, with no added x-ray filter.
conclusionThe consistently high image contrast produced with 100-140 kVp by tantalum compared with bismuth and iodine at equal mass concentration suggests that tantalum could potentially be favorable for use as a clinical CT contrast agent.
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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.