ReviewSensors (Basel, Switzerland)2013
In vivo X-ray computed tomographic imaging of soft tissue with native, intravenous, or oral contrast.
Review in Sensors (Basel, Switzerland), 2013. 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
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
18 citing papers in PubMed, 53 citations in OpenAlex.
- Magnetic resonance and X-ray contrast agents in the optical clearing of dermis - insights fromBiomedical optics express · 2026Article
- Investigating the Role of Ultrasound in the Diagnosis of Oral Lesions: A Scoping Review.Oral diseases · 2026Article
- Article
- Advances in Nanomedicine: Transforming Diagnostic Imaging with Novel Contrast Agents.Current drug metabolism · 2025Review
- The interaction between iodinated X-ray contrast agents and macrocyclic GBCAs provides a signal enhancement in TMagnetic resonance in medicine · 2022Article
- PVP-Modified Multifunctional BiACS omega · 2022Article
- Quantitative and Comparative Analysis of Effectivity and Robustness for Enhanced and Optimized Non-Local Mean Filter Combining Pixel and Patch Information on MR Images of Musculoskeletal System.Sensors (Basel, Switzerland) · 2021Article
- Tracking Dynamics of Spontaneous Tumors in Mice Using Photon-Counting Computed Tomography.iScience · 2019Article
- Multi-scale X-ray computed tomography to detect and localize metal-based nanomaterials in lung tissues of in vivo exposed mice.Scientific reports · 2018Article
- Challenges and opportunities in developing targeted molecular imaging to determine inner ear defects of sensorineural hearing loss.Nanomedicine : nanotechnology, biology, and medicine · 2018Review
- Improvement of spatial learning and memory, cortical gyrification patterns and brain oxidative stress markers in diabetic rats treated withJournal of traditional and complementary medicine · 2018Article
- Characterization of an Orthotopic Colorectal Cancer Mouse Model and Its Feasibility for Accurate Quantification in Positron Emission Tomography.Molecular imaging and biology · 2017Article
- A Novel Nano-approach for Targeted Inner Ear Imaging.Journal of nanomedicine & nanotechnology · 2017Article
- Using Nanoparticles in Medicine for Liver Cancer Imaging.Oman medical journal · 2017Review
- Melatonin decreases breast cancer metastasis by modulating Rho-associated kinase protein-1 expression.Journal of pineal research · 2016Article
- High Resolution Ultrasound and Photoacoustic Imaging of Orthotopic Lung Cancer in Mice: New Perspectives for Onco-Pharmacology.PloS one · 2016Article
- In Vivo Quantitative Microcomputed Tomographic Analysis of Vasculature and Organs in a Normal and Diseased Mouse Model.PloS one · 2016Article
- Correlation of X-ray computed tomography with quantitative nuclear magnetic resonance methods for pre-clinical measurement of adipose and lean tissues in living mice.Sensors (Basel, Switzerland) · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
X-ray Computed Tomography (CT) is one of the most commonly utilized anatomical imaging modalities for both research and clinical purposes. CT combines high-resolution, three-dimensional data with relatively fast acquisition to provide a solid platform for non-invasive human or specimen imaging. The primary limitation of CT is its inability to distinguish many soft tissues based on native contrast. While bone has high contrast within a CT image due to its material density from calcium phosphate, soft tissue is less dense and many are homogenous in density. This presents a challenge in distinguishing one type of soft tissue from another. A couple exceptions include the lungs as well as fat, both of which have unique densities owing to the presence of air or bulk hydrocarbons, respectively. In order to facilitate X-ray CT imaging of other structures, a range of contrast agents have been developed to selectively identify and visualize the anatomical properties of individual tissues. Most agents incorporate atoms like iodine, gold, or barium because of their ability to absorb X-rays, and thus impart contrast to a given organ system. Here we review the strategies available to visualize lung, fat, brain, kidney, liver, spleen, vasculature, gastrointestinal tract, and liver tissues of living mice using either innate contrast, or commercial injectable or ingestible agents with selective perfusion. Further, we demonstrate how each of these approaches will facilitate the non-invasive, longitudinal, in vivo imaging of pre-clinical disease models at each anatomical site.
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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.