ArticleEJNMMI research2012
Anaesthesia and physiological monitoring during in vivo imaging of laboratory rodents: considerations on experimental outcomes and animal welfare.
Article in EJNMMI research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 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.
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
76 citing papers in PubMed.
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- General anesthesia and depth of anesthesia (DoA) evaluation methods in laboratory animals: a comprehensive review.Veterinary research communications · 2026Review
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- Effects of Acute Stress on Metabolic Interactions Related to the Tricarboxylic Acid (TCA) Cycle in the Left Hippocampus of Mice.Metabolites · 2024Article
- Advances in experimental bladder models: bridging the gap between in vitro and in vivo approaches for investigating urinary tract infections.BMC urology · 2024Review
- Levodopa Rescues Retinal Function in the Transgenic A53T Alpha-Synuclein Model of Parkinson's Disease.Biomedicines · 2024Article
- Effects of isoflurane anaesthesia depth and duration on renal function measured with [EJNMMI research · 2024Article
- What to consider for ECG in mice-with special emphasis on telemetry.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Review
- Magnetic resonance imaging and ultrasound elastography in the context of preclinical pharmacological research: significance for the 3R principles.Frontiers in pharmacology · 2023Review
- The impact of stress and anesthesia on animal models of infectious disease.Frontiers in veterinary science · 2023Review
- Comparing Variability in Measurement of Subcutaneous Tumors in Mice Using 3D Thermal Imaging and Calipers.Comparative medicine · 2022Article
- Decay-Accelerating Factor Creates an Organ-Protective Phenotype after Hemorrhage in Conscious Rats.International journal of molecular sciences · 2022Article
- Visualization of Murine Vascular Remodeling and Blood Flow Dynamics by Ultra-High-Frequency Ultrasound Imaging.International journal of molecular sciences · 2022Article
- Monitoring autochthonous lung tumors induced by somatic CRISPR gene editing in mice using a secreted luciferase.Molecular cancer · 2022Article
- Development of a New Integrated System for Vital Sign Monitoring in Small Animals.Sensors (Basel, Switzerland) · 2022Article
- Altered small-world property of a dynamic metabolic network in murine left hippocampus after exposure to acute stress.Scientific reports · 2022Article
- Commercially derived versatile optical architecture for two-photon STED, wavelength mixing and label-free microscopy.Biomedical optics express · 2022Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The implementation of imaging technologies has dramatically increased the efficiency of preclinical studies, enabling a powerful, non-invasive and clinically translatable way for monitoring disease progression in real time and testing new therapies. The ability to image live animals is one of the most important advantages of these technologies. However, this also represents an important challenge as, in contrast to human studies, imaging of animals generally requires anaesthesia to restrain the animals and their gross motion. Anaesthetic agents have a profound effect on the physiology of the animal and may thereby confound the image data acquired. It is therefore necessary to select the appropriate anaesthetic regime and to implement suitable systems for monitoring anaesthetised animals during image acquisition. In addition, repeated anaesthesia required for longitudinal studies, the exposure of ionising radiations and the use of contrast agents and/or imaging biomarkers may also have consequences on the physiology of the animal and its response to anaesthesia, which need to be considered while monitoring the animals during imaging studies. We will review the anaesthesia protocols and monitoring systems commonly used during imaging of laboratory rodents. A variety of imaging modalities are used for imaging rodents, including magnetic resonance imaging, computed tomography, positron emission tomography, single photon emission computed tomography, high frequency ultrasound and optical imaging techniques such as bioluminescence and fluorescence imaging. While all these modalities are implemented for non-invasive in vivo imaging, there are certain differences in terms of animal handling and preparation, how the monitoring systems are implemented and, importantly, how the imaging procedures themselves can affect mammalian physiology. The most important and critical adverse effects of anaesthetic agents are depression of respiration, cardiovascular system disruption and thermoregulation. When anaesthetising rodents, one must carefully consider if these adverse effects occur at the therapeutic dose required for anaesthesia, if they are likely to affect the image acquisitions and, importantly, if they compromise the well-being of the animals. We will review how these challenges can be successfully addressed through an appropriate understanding of anaesthetic protocols and the implementation of adequate physiological monitoring systems.
Identifiers
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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.