ReviewVeterinary and comparative oncology2013
DCE-MRI: a review and applications in veterinary oncology.
Review in Veterinary and comparative oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- The Clinical Application of Dynamic Contrast-Enhanced MRI in Canine Masses of Mesenchymal and Epithelial Origin: A Preliminary Case Series.Veterinary sciences · 2024Article
- An Illustrated Scoping Review of the Magnetic Resonance Imaging Characteristics of Canine and Feline Brain Tumors.Animals : an open access journal from MDPI · 2024Article
- Dynamic contrast enhanced high field magnetic resonance imaging for canine primary intracranial neoplasia.Frontiers in veterinary science · 2024Article
- Isotropic dynamic contrast-enhanced magnetic resonance imaging using differential subsampling with cartesian ordering and adaptive imaging receive coil for the diagnosis of Crohn disease: a case description.Quantitative imaging in medicine and surgery · 2023Article
- Comparison of MR-PWI quantitative and semi-quantitative parameters for the evaluation of liver fibrosis.BMC medical imaging · 2021Article
- Local Vascularization during Orthodontic Tooth Movement in a Split Mouth Rat Model-A MRI Study.Biomedicines · 2020Article
- MRI perfusion analysis using freeware, standard imaging software.BMC veterinary research · 2020Article
- Emerging Translational Opportunities in Comparative Oncology With Companion Canine Cancers: Radiation Oncology.Frontiers in oncology · 2019Review
- Imaging in Non-neurologic Oncologic Treatment Planning of the Head and Neck.Frontiers in veterinary science · 2019Review
- Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model.European radiology · 2017Article
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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
Abstract
Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is a functional imaging technique that assesses the physiology of tumour tissue by exploiting abnormal tumour microvasculature. Advances made through DCE-MRI include improvement in the diagnosis of cancer, optimization of treatment choices, assessment of treatment efficacy and non-invasive identification of prognostic information. DCE-MRI enables quantitative assessment of tissue vessel density, integrity, and permeability, and this information can be applied to study of angiogenesis, hypoxia and the evaluation of various biomarkers. Reproducibility of DCE-MRI results is important in determining the significance of observed changes in the parameters. As improvements are made towards the utility of DCE-MRI and interpreting biologic associations, the technique will be applied more frequently in the study of cancer in animals. Given the importance of tumour perfusion with respect to tumour oxygenation and drug delivery, the use of DCE-MRI is a convenient and powerful way to gain basic information about a tumour.
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Identifiers
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.