Literature DB >> 29675932

Quantification of liver function by linearization of a two-compartment model of gadoxetic acid uptake using dynamic contrast-enhanced magnetic resonance imaging.

Josiah Simeth1,2, Adam Johansson1, Dawn Owen1, Kyle Cuneo1, Michelle Mierzwa1, Mary Feng1,3, Theodore S Lawrence1, Yue Cao1,2,4.   

Abstract

Dynamic gadoxetic acid-enhanced magnetic resonance imaging (MRI) allows the investigation of liver function through the observation of the perfusion and uptake of contrast agent in the parenchyma. Voxel-by-voxel quantification of the contrast uptake rate (k1 ) from dynamic gadoxetic acid-enhanced MRI through the standard dual-input, two-compartment model could be susceptible to overfitting of variance in the data. The aim of this study was to develop a linearized, but more robust, model. To evaluate the estimated k1 values using this linearized analysis, high-temporal-resolution gadoxetic acid-enhanced MRI scans were obtained in 13 examinations, and k1 maps were created using both models. Comparison of liver k1 values estimated from the two methods produced a median correlation coefficient of 0.91 across the 12 scans that could be used. Temporally sparse clinical MRI data with gadoxetic acid uptake were also employed to create k1 maps of 27 examinations using the linearized model. Of 20 scans, the created k1 maps were compared with overall liver function as measured by indocyanine green (ICG) retention, and yielded a correlation coefficient of 0.72. In the 27 k1 maps created via the linearized model, the mean liver k1 value was 3.93 ± 1.79 mL/100 mL/min, consistent with previous studies. The results indicate that the linearized model provides a simple and robust method for the assessment of the rate of contrast uptake that can be applied to both high-temporal-resolution dynamic contrast-enhanced MRI and typical clinical multiphase MRI data, and that correlates well with the results of both two-compartment analysis and independent whole liver function measurements.
Copyright © 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  DCE-MRI; Gd chelate based contrast agents; hepatobiliary contrast; imaging informed treatment planning; liver function; quantitative imaging

Mesh:

Substances:

Year:  2018        PMID: 29675932      PMCID: PMC5980790          DOI: 10.1002/nbm.3913

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  15 in total

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2.  Combined quantification of liver perfusion and function with dynamic gadoxetic acid-enhanced MR imaging.

Authors:  Steven Sourbron; Wieland H Sommer; Maximilian F Reiser; Christoph J Zech
Journal:  Radiology       Date:  2012-06       Impact factor: 11.105

3.  Efficacy of liver parenchymal enhancement and liver volume to standard liver volume ratio on Gd-EOB-DTPA-enhanced MRI for estimation of liver function.

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5.  Prediction of liver function by using magnetic resonance-based portal venous perfusion imaging.

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Authors:  Hesheng Wang; Mary Feng; Kirk A Frey; Randall K Ten Haken; Theodore S Lawrence; Yue Cao
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9.  Optimizing global liver function in radiation therapy treatment planning.

Authors:  Victor W Wu; Marina A Epelman; Hesheng Wang; H Edwin Romeijn; Mary Feng; Yue Cao; Randall K Ten Haken; Martha M Matuszak
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10.  An Overdetermined System of Transform Equations in Support of Robust DCE-MRI Registration With Outlier Rejection.

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Journal:  Tomography       Date:  2016-09
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  11 in total

1.  Abdominal DCE-MRI reconstruction with deformable motion correction for liver perfusion quantification.

Authors:  Adam Johansson; James M Balter; Yue Cao
Journal:  Med Phys       Date:  2018-08-31       Impact factor: 4.071

2.  GAN and dual-input two-compartment model-based training of a neural network for robust quantification of contrast uptake rate in gadoxetic acid-enhanced MRI.

Authors:  Josiah Simeth; Yue Cao
Journal:  Med Phys       Date:  2020-02-19       Impact factor: 4.071

3.  A mid-treatment break and reassessment maintains tumor control and reduces toxicity in patients with hepatocellular carcinoma treated with stereotactic body radiation therapy.

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Journal:  Radiother Oncol       Date:  2019-08-17       Impact factor: 6.280

4.  Volumetric prediction of breathing and slow drifting motion in the abdomen using radial MRI and multi-temporal resolution modeling.

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7.  The Potential for Midtreatment Albumin-Bilirubin (ALBI) Score to Individualize Liver Stereotactic Body Radiation Therapy.

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9.  A pharmacokinetic model including arrival time for two inputs and compensating for varying applied flip-angle in dynamic gadoxetic acid-enhanced MR imaging.

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10.  A hierarchical model of abdominal configuration changes extracted from golden angle radial magnetic resonance imaging.

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Journal:  Phys Med Biol       Date:  2021-02-09       Impact factor: 3.609

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