Literature DB >> 22520476

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

Yue Cao1, Hesheng Wang, Timothy D Johnson, Charlie Pan, Hero Hussain, James M Balter, Daniel Normolle, Edgar Ben-Josef, Randall K Ten Haken, Theodore S Lawrence, Mary Feng.   

Abstract

PURPOSE: To evaluate whether liver function can be assessed globally and spatially by using volumetric dynamic contrast-enhanced magnetic resonance imaging MRI (DCE-MRI) to potentially aid in adaptive treatment planning. METHODS AND MATERIALS: Seventeen patients with intrahepatic cancer undergoing focal radiation therapy (RT) were enrolled in institution review board-approved prospective studies to obtain DCE-MRI (to measure regional perfusion) and indocyanine green (ICG) clearance rates (to measure overall liver function) prior to, during, and at 1 and 2 months after treatment. The volumetric distribution of portal venous perfusion in the whole liver was estimated for each scan. We assessed the correlation between mean portal venous perfusion in the nontumor volume of the liver and overall liver function measured by ICG before, during, and after RT. The dose response for regional portal venous perfusion to RT was determined using a linear mixed effects model.
RESULTS: There was a significant correlation between the ICG clearance rate and mean portal venous perfusion in the functioning liver parenchyma, suggesting that portal venous perfusion could be used as a surrogate for function. Reduction in regional venous perfusion 1 month after RT was predicted by the locally accumulated biologically corrected dose at the end of RT (P<.0007). Regional portal venous perfusion measured during RT was a significant predictor for regional venous perfusion assessed 1 month after RT (P<.00001). Global hypovenous perfusion pre-RT was observed in 4 patients (3 patients with hepatocellular carcinoma and cirrhosis), 3 of whom had recovered from hypoperfusion, except in the highest dose regions, post-RT. In addition, 3 patients who had normal perfusion pre-RT had marked hypervenous perfusion or reperfusion in low-dose regions post-RT.
CONCLUSIONS: This study suggests that MR-based volumetric hepatic perfusion imaging may be a biomarker for spatial distribution of liver function, which could aid in individualizing therapy, particularly for patients at risk for liver injury after RT.
Copyright © 2013. Published by Elsevier Inc.

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Year:  2012        PMID: 22520476      PMCID: PMC3629546          DOI: 10.1016/j.ijrobp.2012.02.037

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  16 in total

1.  A practical approach for quantitative estimates of voxel-by-voxel liver perfusion using DCE imaging and a compartmental model.

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Journal:  Int J Radiat Oncol Biol Phys       Date:  1982-11       Impact factor: 7.038

3.  Evaluation of the effect of portal vein embolization on liver function by (99m)tc-galactosyl human serum albumin scintigraphy.

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4.  Assessment of pretransplant prognosis in patients with cirrhosis.

Authors:  M Oellerich; M Burdelski; H U Lautz; B Rodeck; J Duewel; M Schulz; F W Schmidt; J Brodehl; R Pichlmayr
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5.  The prediction of radiation-induced liver dysfunction using a local dose and regional venous perfusion model.

Authors:  Yue Cao; Joel F Platt; Isaac R Francis; James M Balter; Charlie Pan; Daniel Normolle; Edgar Ben-Josef; Randall K Ten Haken; Theodore S Lawrence
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

6.  Phase II trial of high-dose conformal radiation therapy with concurrent hepatic artery floxuridine for unresectable intrahepatic malignancies.

Authors:  Edgar Ben-Josef; Daniel Normolle; William D Ensminger; Suzette Walker; Daniel Tatro; Randall K Ten Haken; James Knol; Laura A Dawson; Charlie Pan; Theodore S Lawrence
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7.  Indocyanine green. Its use as an early indicator of hepatic dysfunction following injury in man.

Authors:  M E Gottlieb; H H Stratton; J C Newell; D M Shah
Journal:  Arch Surg       Date:  1984-03

8.  Analysis of radiation-induced liver disease using the Lyman NTCP model.

Authors:  Laura A Dawson; Daniel Normolle; James M Balter; Cornelius J McGinn; Theodore S Lawrence; Randall K Ten Haken
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9.  Liver function after irradiation based on computed tomographic portal vein perfusion imaging.

Authors:  Yue Cao; Charlie Pan; James M Balter; Joel F Platt; Isaac R Francis; James A Knol; Daniel Normolle; Edgar Ben-Josef; Randall K Ten Haken; Theodore S Lawrence
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-09-12       Impact factor: 7.038

10.  Prediction of radiation-induced liver disease by Lyman normal-tissue complication probability model in three-dimensional conformal radiation therapy for primary liver carcinoma.

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Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-03-20       Impact factor: 7.038

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  27 in total

1.  Rigid-body motion correction of the liver in image reconstruction for golden-angle stack-of-stars DCE MRI.

Authors:  Adam Johansson; James Balter; Yue Cao
Journal:  Magn Reson Med       Date:  2017-06-15       Impact factor: 4.668

2.  Differential hepatic avoidance radiation therapy: Proof of concept in hepatocellular carcinoma patients.

Authors:  Stephen R Bowen; Jatinder Saini; Tobias R Chapman; Robert S Miyaoka; Paul E Kinahan; George A Sandison; Tony Wong; Hubert J Vesselle; Matthew J Nyflot; Smith Apisarnthanarax
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3.  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

4.  Estimating liver perfusion from free-breathing continuously acquired dynamic gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid-enhanced acquisition with compressed sensing reconstruction.

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Journal:  Invest Radiol       Date:  2015-02       Impact factor: 6.016

5.  GPU-accelerated voxelwise hepatic perfusion quantification.

Authors:  H Wang; Y Cao
Journal:  Phys Med Biol       Date:  2012-08-14       Impact factor: 3.609

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

Authors:  Josiah Simeth; Adam Johansson; Dawn Owen; Kyle Cuneo; Michelle Mierzwa; Mary Feng; Theodore S Lawrence; Yue Cao
Journal:  NMR Biomed       Date:  2018-04-19       Impact factor: 4.044

7.  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.

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8.  Assessment of the confidence interval in the multivariable normal tissue complication probability model for predicting radiation-induced liver disease in primary liver cancer.

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Journal:  J Radiat Res       Date:  2021-05-12       Impact factor: 2.724

9.  Implementing Radiation Dose-Volume Liver Response in Biomechanical Deformable Image Registration.

Authors:  Daniel F Polan; Mary Feng; Theodore S Lawrence; Randall K Ten Haken; Kristy K Brock
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-06-27       Impact factor: 7.038

10.  Predictive models for regional hepatic function based on 99mTc-IDA SPECT and local radiation dose for physiologic adaptive radiation therapy.

Authors:  Hesheng Wang; Mary Feng; Kirk A Frey; Randall K Ten Haken; Theodore S Lawrence; Yue Cao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-05-18       Impact factor: 7.038

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