ArticleMagnetic resonance imaging2013
A linear algorithm of the reference region model for DCE-MRI is robust and relaxes requirements for temporal resolution.
Article in Magnetic resonance imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 39 citations in OpenAlex.
- Dynamic Contrast Enhanced-Magnetic Resonance Fingerprinting (DCE-MRF) Improves Detection of Induced Vascular Perfusion Reduction in a Mouse Breast Cancer Model.Magnetic resonance in medicine · 2026Article
- Dynamic contrast enhanced-magnetic resonance fingerprinting (DCE-MRF): A new quantitative MRI method to reliably assess tumor vascular perfusion.Magnetic resonance in medicine · 2025Article
- Impact of Arterial Input Function and Pharmacokinetic Models on DCE-MRI Biomarkers for Detection of Vascular Effect Induced by Stroma-Directed Drug in an Orthotopic Mouse Model of Pancreatic Cancer.Molecular imaging and biology · 2023Article
- Dynamic 2-deoxy-D-glucose-enhanced multispectral optoacoustic tomography for assessing metabolism and vascular hemodynamics of breast cancer.Photoacoustics · 2023Article
- Dynamic Contrast-Enhanced MRI in the Abdomen of Mice with High Temporal and Spatial Resolution Using Stack-of-Stars Sampling and KWIC Reconstruction.Tomography (Ann Arbor, Mich.) · 2022Article
- Article
- Direct phosphorylation and stabilization of HIF-1α by PIM1 kinase drives angiogenesis in solid tumors.Oncogene · 2021Article
- Quantifying lumbar vertebral perfusion by a Tofts model on DCE-MRI using segmental versus aortic arterial input function.Scientific reports · 2021Observational
- Patient‑derived orthotopic xenograft glioma models fail to replicate the magnetic resonance imaging features of the original patient tumor.Oncology reports · 2020Article
- Relationship between histogram metrics of pharmacokinetic parameters of DCE-MRI and histological phenotype in breast cancer.Translational cancer research · 2020Article
- Differentiation of Myositis-Induced Models of Bacterial Infection and Inflammation with TTomography (Ann Arbor, Mich.) · 2019Article
- Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.Magnetic resonance in medicine · 2019Article
- A light-fluence-independent method for the quantitative analysis of dynamic contrast-enhanced multispectral optoacoustic tomography (DCE MSOT).Photoacoustics · 2018Article
- Linearization improves the repeatability of quantitative dynamic contrast-enhanced MRI.Magnetic resonance imaging · 2018Article
- Vastly accelerated linear least-squares fitting with numerical optimization for dual-input delay-compensated quantitative liver perfusion mapping.Magnetic resonance in medicine · 2018Article
- Characterization of tumor vascular permeability using natural dextrans and CEST MRI.Magnetic resonance in medicine · 2018Article
- Aberrant glioblastoma neovascularization patterns and their correlation with DCE-MRI-derived parameters following temozolomide and bevacizumab treatment.Scientific reports · 2017Article
- [Application of dynamic-contrast enhanced magnetic resonance pharmacokinetic models in differential diagnosis of cellular uterine leiomyoma].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2017Article
- Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method.Journal of magnetic resonance imaging : JMRI · 2016Article
- Dynamic contrast enhanced magnetic resonance imaging of an orthotopic pancreatic cancer mouse model.Journal of visualized experiments : JoVE · 2015Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Dynamic contrast enhanced MRI (DCE-MRI) has utility for improving clinical diagnoses of solid tumors, and for evaluating the early responses of anti-angiogenic chemotherapies. The Reference Region Model (RRM) can improve the clinical implementation of DCE-MRI by substituting the contrast enhancement of muscle for the Arterial Input Function that is used in traditional DCE-MRI methodologies. The RRM is typically fitted to experimental results with a non-linear least squares algorithm. This report demonstrates that this algorithm produces inaccurate and imprecise results when DCE-MRI results have low SNR or slow temporal resolution. To overcome this limitation, a linear least-squares algorithm has been derived for the Reference Region Model. This new algorithm improves accuracy and precision of fitting the Reference Region Model to DCE-MRI results, especially for voxel-wise analyses. This linear algorithm is insensitive to injection speeds, and has 300- to 8000-fold faster calculation speed relative to the non-linear algorithm. The linear algorithm produces more accurate results for over a wider range of permeabilities and blood volumes of tumor vasculature. This new algorithm, termed the Linear Reference Region Model, has strong potential to improve clinical DCE-MRI evaluations.
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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.