ArticleMagnetic resonance in medicine2013
Assessing the reproducibility of dynamic contrast enhanced magnetic resonance imaging in a murine model of breast cancer.
Article in Magnetic resonance in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Structural and practical identifiability of contrast transport models for DCE-MRI.PLoS computational biology · 2024Article
- Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma.Scientific reports · 2023Article
- Multimodal Molecular Imaging Detects Early Responses to Immune Checkpoint Blockade.Cancer research · 2021Article
- Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data.Cancers · 2021Review
- Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine.Tomography (Ann Arbor, Mich.) · 2020Article
- Selection of Fitting Model and Arterial Input Function for Repeatability in Dynamic Contrast-Enhanced Prostate MRI.Academic radiology · 2019Article
- MR Imaging Biomarkers in Oncology Clinical Trials.Magnetic resonance imaging clinics of North America · 2016Review
- Trastuzumab improves tumor perfusion and vascular delivery of cytotoxic therapy in a murine model of HER2+ breast cancer: preliminary results.Breast cancer research and treatment · 2016Article
- Acute vascular response to cediranib treatment in human non-small-cell lung cancer xenografts with different tumour stromal architecture.Lung cancer (Amsterdam, Netherlands) · 2015Article
- Assessing the accuracy and reproducibility of modality independent elastography in a murine model of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2015Article
- Methods and challenges in quantitative imaging biomarker development.Academic radiology · 2015Review
- Sequence design and evaluation of the reproducibility of water-selective diffusion-weighted imaging of the breast at 3 T.NMR in biomedicine · 2014Article
- A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats.Magnetic resonance imaging · 2014Article
- An analysis of the uncertainty and bias in DCE-MRI measurements using the spoiled gradient-recalled echo pulse sequence.Medical physics · 2014Article
- Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancer.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2014Article
- Using dynamic contrast-enhanced magnetic resonance imaging data to constrain a positron emission tomography kinetic model: theory and simulations.International journal of biomedical imaging · 2013Article
- Practical dynamic contrast enhanced MRI in small animal models of cancer: data acquisition, data analysis, and interpretation.Pharmaceutics · 2012Article
- Repeatability of tumor perfusion kinetics from dynamic contrast-enhanced MRI in glioblastoma.Neuro-oncology advancesArticle
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5 authors.
Funding
Abstract
Quantitative dynamic contrast enhanced magnetic resonance imaging estimates parameters related to tissue vascularity and volume fractions; additionally, semiquantitative parameters such as the initial area under the curve can be utilized to describe tissue behavior. The aim of this study was to establish the reproducibility of quantitative and semiquantitative analysis of dynamic contrast enhanced magnetic resonance imaging in a murine model of breast cancer. For each animal, a T1-weighted, gradient-echo sequence was used to acquire two sets of dynamic contrast enhanced magnetic resonance imaging data separated by 5 h. Data were acquired at both a 0.05 mm3 (128(2) , n=12) and a 0.2 mm3 (64(2), n=12) resolution, and analysis was performed using both the Tofts-Kety (to estimate Ktrans and ve) and extended Tofts-Kety (Ktrans, ve, and vp) models. Reproducibility analysis was performed for both the center slice and the total tumor volume for all parameters. For the total volume analysis, the repeatability index for Ktrans is 0.073 min(-1) in the standard model analysis and 0.075 min(-1) in the extended model analysis at the 128(2) acquisition. For the 64(2) acquisition, the values are 0.089 and 0.063 min(-1) for the standard and extended models, respectively. The repeatability index for initial area under the curve was 0.0039 and 0.0042 mM min for the 128(2) and 64(2) acquisitions, respectively.
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