ArticleMagnetic resonance in medicine2018
Toward a noninvasive estimate of interstitial fluid pressure by dynamic contrast-enhanced MRI in a rat model of cerebral tumor.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed.
- Imaging, histological, and molecular characterization of a preclinical, orthotopic model of recurrent glioblastoma following image-guided laser ablation of the primary tumor.Journal of neurosurgery · 2026Article
- A Physiologic Left Ventricle Flow Phantom for 4D Flow MRI Applications and CFD Verification.Annals of biomedical engineering · 2026Article
- Mechanobiology of solid tumor vasculature: implications for tumor progression.Cancer metastasis reviews · 2026Review
- Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor.Scientific reports · 2025Article
- Interstitial fluid transport dynamics predict glioblastoma invasion and progression.npj biomedical innovations · 2025Article
- Characterization of Indeterminate Breast Lesions Based on Pressure Estimates by Noninvasive 3D Contrast-Enhanced Ultrasound.Ultrasound in medicine & biology · 2024Article
- Heterogeneous Mechanical Stress and Interstitial Fluid Flow Predictions Derived from DCE-MRI for Rat U251N Orthotopic Gliomas.Annals of biomedical engineering · 2024Article
- Hydraulic conductivity of human cancer tissue: A hybrid study.Bioengineering & translational medicine · 2024Article
- Radiomics characterization of tissues in an animal brain tumor model imaged using dynamic contrast enhanced (DCE) MRI.Scientific reports · 2023Article
- Dynamic contrast enhanced (DCE) MRI estimation of vascular parameters using knowledge-based adaptive models.Scientific reports · 2023Article
- Characterization of the Response of 9L and U-251N Orthotopic Brain Tumors to 3D Conformal Radiation Therapy.Radiation research · 2023Article
- Estimation of Mechanical and Transport Parameters in Cancers Using Short Time Poroelastography.IEEE journal of translational engineering in health and medicine · 2022Article
- Adaptation of laser interstitial thermal therapy for tumor ablation under MRI monitoring in a rat orthotopic model of glioblastoma.Acta neurochirurgica · 2021Article
- A computational model of glioma reveals opposing, stiffness-sensitive effects of leaky vasculature and tumor growth on tissue mechanical stress and porosity.Biomechanics and modeling in mechanobiology · 2021Article
- Article
- Imaging acute effects of bevacizumab on tumor vascular kinetics in a preclinical orthotopic model of U251 glioma.NMR in biomedicine · 2021Article
- The impact of initial tumor microenvironment on imaging phenotype.Cancer treatment and research communications · 2021Article
- Pulsed focused ultrasound lowers interstitial fluid pressure and increases nanoparticle delivery and penetration in head and neck squamous cell carcinoma xenograft tumors.Physics in medicine and biology · 2020Article
- Towards noninvasive estimation of tumour pressure by utilising MR elastography and nonlinear biomechanical models: a simulation and phantom study.Scientific reports · 2020Article
- Intratumor Heterogeneity in Interstitial Fluid Pressure in Cervical and Pancreatic Carcinoma Xenografts.Translational oncology · 2019Article
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Authors and funding
10 authors.
Funding
Abstract
purposeThis study demonstrates a DCE-MRI estimate of tumor interstitial fluid pressure (TIFP) and hydraulic conductivity in a rat model of glioblastoma, with validation against an invasive wick-in-needle (WIN) technique. An elevated TIFP is considered a mark of aggressiveness, and a decreased TIFP a predictor of response to therapy.
methodsThe DCE-MRI studies were conducted in 36 athymic rats (controls and posttreatment animals) with implanted U251 cerebral tumors, and with TIFP measured using a WIN method. Using a model selection paradigm and a novel application of Patlak and Logan plots to DCE-MRI data, the MRI parameters required for estimating TIFP noninvasively were estimated. Two models, a fluid-mechanical model and a multivariate empirical model, were used for estimating TIFP, as verified against WIN-TIFP.
resultsUsing DCE-MRI, the mean estimated hydraulic conductivity (MRI-K) in U251 tumors was (2.3 ± 3.1) × 10
conclusionThis research suggests that MRI dynamic studies contain enough information to noninvasively estimate TIFP in this, and possibly other, tumor models, and thus might be used to assess tumor aggressiveness and response to therapy.
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