ArticleJournal of medical imaging (Bellingham, Wash.)2015
Assessing the accuracy and reproducibility of modality independent elastography in a murine model of breast cancer.
Article in Journal of medical imaging (Bellingham, Wash.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Biophysics in tumor growth and progression: from single mechano-sensitive molecules to mechanomedicine.Oncogene · 2023Review
- Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth.IEEE transactions on medical imaging · 2023Article
- Preclinical Three-Dimensional Vibrational Shear Wave Elastography for Mapping of Tumour Biomechanical Properties In Vivo.Cancers · 2022Article
- Reproducibility assessment of a biomechanical model-based elasticity imaging method for identifying changes in left ventricular mechanical stiffness.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Developing a biomechanical model-based elasticity imaging method for assessing hormone receptor positive breast cancer treatment-related myocardial stiffness changes.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Translating preclinical MRI methods to clinical oncology.Journal of magnetic resonance imaging : JMRI · 2019Review
- Toward quantitative quasistatic elastography with a gravity-induced deformation source for image-guided breast surgery.Journal of medical imaging (Bellingham, Wash.) · 2018Article
- Breast tissue stiffness estimation for surgical guidance using gravity-induced excitation.Physics in medicine and biology · 2017Article
- Mechanotransduction in cancer.Current opinion in chemical engineering · 2016Article
- MR Imaging Biomarkers in Oncology Clinical Trials.Magnetic resonance imaging clinics of North America · 2016Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Cancer progression has been linked to mechanics. Therefore, there has been recent interest in developing noninvasive imaging tools for cancer assessment that are sensitive to changes in tissue mechanical properties. We have developed one such method, modality independent elastography (MIE), that estimates the relative elastic properties of tissue by fitting anatomical image volumes acquired before and after the application of compression to biomechanical models. The aim of this study was to assess the accuracy and reproducibility of the method using phantoms and a murine breast cancer model. Magnetic resonance imaging data were acquired, and the MIE method was used to estimate relative volumetric stiffness. Accuracy was assessed using phantom data by comparing to gold-standard mechanical testing of elasticity ratios. Validation error was [Formula: see text]. Reproducibility analysis was performed on animal data, and within-subject coefficients of variation ranged from 2 to 13% at the bulk level and 32% at the voxel level. To our knowledge, this is the first study to assess the reproducibility of an elasticity imaging metric in a preclinical cancer model. Our results suggest that the MIE method can reproducibly generate accurate estimates of the relative mechanical stiffness and provide guidance on the degree of change needed in order to declare biological changes rather than experimental error in future therapeutic studies.
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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.