ArticlePloS one2014
Modeling the effect of intra-voxel diffusion of contrast agent on the quantitative analysis of dynamic contrast enhanced magnetic resonance imaging.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Nomogram for reducing unnecessary biopsies of breast lesions based on MRI and clinical features: a multi-center retrospective cohort study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- Current status in spatiotemporal analysis of contrast-based perfusion MRI.Magnetic resonance in medicine · 2024Review
- Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer.Tomography (Ann Arbor, Mich.) · 2021Article
- The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains.Magnetic resonance in medicine · 2018Article
- Discrimination between benign and malignant breast lesions using volumetric quantitative dynamic contrast-enhanced MR imaging.European radiology · 2018Article
- A continuous-infusion dynamic MRI model at 3.0 Tesla for the serial quantitative evaluation of microvascular proliferation in an animal model of glioblastoma multiforme.Magnetic resonance in medicine · 2017Article
- MR Imaging Biomarkers in Oncology Clinical Trials.Magnetic resonance imaging clinics of North America · 2016Review
- Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer.NMR in biomedicine · 2015Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides estimates of physiologically relevant parameters related to tissue blood flow, vascular permeability, and tissue volume fractions which can then be used for prognostic and diagnostic reasons. However, standard techniques for DCE-MRI analysis ignore intra-voxel diffusion, which may play an important role in contrast agent distribution and voxel signal intensity and, thus, will affect quantification of the aforementioned parameters. To investigate the effect of intra-voxel diffusion on quantitative DCE-MRI, we developed a finite element model of contrast enhancement at the voxel level. For diffusion in the range of that expected for gadolinium chelates in tissue (i.e., 1 × 10(-4) to 4 × 10(-4) mm(2)/s), parameterization errors range from -58% to 12% for K(trans), -9% to 8% for ve, and -60% to 213% for vp over the range of K(trans), v(e), v(p), and temporal resolutions investigated. Thus the results show that diffusion has a significant effect on parameterization using standard techniques.
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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.