ArticleMagnetic resonance imaging2014
Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+ breast cancer.
Article in Magnetic resonance imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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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.
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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.
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Who cites it
23 citing papers in PubMed.
- Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy.PloS one · 2015Trial
- Reproducibility and repeatability of 18F-(2S, 4R)-4-fluoroglutamine PET imaging in preclinical oncology models.PloS one · 2025Article
- Reproducibility of proton density fat fraction assessment of thigh muscle in a multi-site, multi-vendor cohort study at 10 years after anterior cruciate ligament reconstruction.Quantitative imaging in medicine and surgery · 2024Article
- Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting.Nature protocols · 2021Review
- Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data.Cancers · 2021Review
- Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation.Scientific reports · 2021Article
- Towards an Image-Informed Mathematical Model of In Vivo Response to Fractionated Radiation Therapy.Cancers · 2021Article
- Respiratory Motion Mitigation and Repeatability of Two Diffusion-Weighted MRI Methods Applied to a Murine Model of Spontaneous Pancreatic Cancer.Tomography (Ann Arbor, Mich.) · 2021Article
- Towards integration ofScientific reports · 2020Article
- Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine.Tomography (Ann Arbor, Mich.) · 2020Article
- Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling.Radiation oncology (London, England) · 2020Article
- An adjoint-based method for a linear mechanically-coupled tumor model: Application to estimate the spatial variation of murine glioma growth based on diffusion weighted magnetic resonance imaging.Computational mechanics · 2019Article
- Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy: theory and preliminary clinical results.Physics in medicine and biology · 2018Article
- Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.Journal of magnetic resonance imaging : JMRI · 2018Article
- Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details.Methods in molecular biology (Clifton, N.J.) · 2018Article
- A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predictJournal of the Royal Society, Interface · 2017Article
- Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy.Computer methods in applied mechanics and engineering · 2017Article
- Quantitative Magnetization Transfer Imaging of the Breast at 3.0 T: Reproducibility in Healthy Volunteers.Tomography (Ann Arbor, Mich.) · 2016Article
- Apparent diffusion coefficient is highly reproducible on preclinical imaging systems: Evidence from a seven-center multivendor study.Journal of magnetic resonance imaging : JMRI · 2015Article
- Assessing the accuracy and reproducibility of modality independent elastography in a murine model of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
background and purposeThe use of diffusion-weighted magnetic resonance imaging (DW-MRI) as a surrogate biomarker of response in preclinical studies is increasing. However, before a biomarker can be reliably employed to assess treatment response, the reproducibility of the technique must be established. There is a paucity of literature that quantifies the reproducibility of DW-MRI in preclinical studies; thus, the purpose of this study was to investigate DW-MRI reproducibility in a murine model of HER2+ breast cancer. MATERIALS AND
methodsTest-Retest DW-MRI scans separated by approximately six hours were acquired from eleven athymic female mice with HER2+ xenografts using a pulsed gradient spin echo diffusion-weighted sequence with three b values [150, 500, and 800s/mm(2)]. Reproducibility was assessed for the mean apparent diffusion coefficient (ADC) from tumor and muscle tissue regions.
resultsThe threshold to reflect a change in tumor physiology in a cohort of mice is defined by the 95% confidence interval (CI), which was±0.0972×10(-3)mm(2)/s (±11.8%) for mean tumor ADC. The repeatability coefficient defines this threshold for an individual mouse, which was±0.273×10(-3)mm(2)/s. The 95% CI and repeatability coefficient for mean ADC of muscle tissue were±0.0949×10(-3)mm(2)/s (±8.30%) and±0.266×10(-3)mm(2)/s, respectively.
conclusionsMean ADC of tumors is reproducible and appropriate for detecting treatment-induced changes on both an individual and mouse cohort basis.
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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.