Literature DB >> 31348580

Estimation of cellular-interstitial water exchange in dynamic contrast enhanced MRI using two flip angles.

Jin Zhang1, Sungheon Gene Kim1.   

Abstract

PURPOSE: To investigate the feasibility of using multiple flip angles in dynamic contrast enhanced (DCE) MRI to reduce the uncertainty in estimation of intracellular water lifetime (τi ).
METHODS: Numerical simulation studies were conducted to assess the uncertainty in estimation of τi using dynamic contrast enhanced MRI with one or two flip angles. In vivo experiments with a murine brain tumor model were conducted at 7T using two flip angles. The in vivo data were used to compare τi estimation using the single-flip-angle (SFA) protocol with that using the double-flip-angle (DFA) protocol. Data analysis was conducted using the two-compartment exchange model combined with the three-site-two-exchange model for water exchange.
RESULTS: In the numerical simulation studies with a range of contrast kinetic parameters and signal-to-noise ratio = 20, the median bias of τi estimation decreased from 72 ms with SFA to 65 ms with DFA, and the corresponding median inter-quartile range reduced from 523 ms to 156 ms. In the in vivo studies, τi estimation with SFA was not successful in most voxels in the tumors, as the estimated τi values reached the upper limit of the parameter range (2 s). In contrast, the estimated τi values with DFA were mostly between 0.2 and 1.5 s and homogeneously distributed spatially across the tumor. The τi estimation with DFA was less sensitive to arterial input function scaling but more sensitive to pre-contrast T1 than the other contrast kinetic parameters.
CONCLUSION: This study results demonstrate the feasibility of using multiple flip angles to encode the post-contrast time-intensity curve with different weighting of water exchange effect to reduce the uncertainty in τi estimation.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  3D-UTE-GRASP; DCE-MRI; cancer; intracellular water lifetime; water exchange

Mesh:

Substances:

Year:  2019        PMID: 31348580      PMCID: PMC6817382          DOI: 10.1002/nbm.4135

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


  55 in total

1.  Equilibrium water exchange between the intra- and extracellular spaces of mammalian brain.

Authors:  James D Quirk; G Larry Bretthorst; Timothy Q Duong; Avi Z Snyder; Charles S Springer; Joseph J H Ackerman; Jeffrey J Neil
Journal:  Magn Reson Med       Date:  2003-09       Impact factor: 4.668

2.  Modeling normal and altered human erythrocyte shapes by a new parametric equation: application to the calculation of induced transmembrane potentials.

Authors:  S Muñoz San Martín; J L Sebastián; M Sancho; G Alvarez
Journal:  Bioelectromagnetics       Date:  2006-10       Impact factor: 2.010

3.  Automatic individual arterial input functions calculated from PCA outperform manual and population-averaged approaches for the pharmacokinetic modeling of DCE-MR images.

Authors:  Roberto Sanz-Requena; José Manuel Prats-Montalbán; Luis Martí-Bonmatí; Ángel Alberich-Bayarri; Gracián García-Martí; Rosario Pérez; Alberto Ferrer
Journal:  J Magn Reson Imaging       Date:  2014-11-20       Impact factor: 4.813

4.  Shutter-speed dynamic contrast-enhanced MRI: Is it fit for purpose?

Authors:  David L Buckley
Journal:  Magn Reson Med       Date:  2018-09-19       Impact factor: 4.668

5.  Uncertainty in MR tracer kinetic parameters and water exchange rates estimated from T1-weighted dynamic contrast enhanced MRI.

Authors:  Jin Zhang; Sungheon Kim
Journal:  Magn Reson Med       Date:  2013-09-04       Impact factor: 4.668

6.  Gadolinium-based magnetic resonance contrast agents at 7 Tesla: in vitro T1 relaxivities in human blood plasma.

Authors:  Iris M Noebauer-Huhmann; Pavol Szomolanyi; Vladimír Juras; Oliver Kraff; Mark E Ladd; Siegfried Trattnig
Journal:  Invest Radiol       Date:  2010-09       Impact factor: 6.016

7.  Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI.

Authors:  Li Feng; Robert Grimm; Kai Tobias Block; Hersh Chandarana; Sungheon Kim; Jian Xu; Leon Axel; Daniel K Sodickson; Ricardo Otazo
Journal:  Magn Reson Med       Date:  2013-10-18       Impact factor: 4.668

8.  Water exchange across red cell membranes: II. Measurements by nuclear magnetic resonance T1, T2, and T12 hybrid relaxation. The effects of osmolarity, cell volume, and medium.

Authors:  M E Fabry; M Eisenstadt
Journal:  J Membr Biol       Date:  1978-09-25       Impact factor: 1.843

9.  Signal-to-noise ratio, contrast-to-noise ratio and pharmacokinetic modeling considerations in dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Xin Li; Wei Huang; William D Rooney
Journal:  Magn Reson Imaging       Date:  2012-07-15       Impact factor: 2.546

10.  Dynamic NMR effects in breast cancer dynamic-contrast-enhanced MRI.

Authors:  Xin Li; Wei Huang; Elizabeth A Morris; Luminita A Tudorica; Venkatraman E Seshan; William D Rooney; Ian Tagge; Ya Wang; Jingang Xu; Charles S Springer
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-13       Impact factor: 11.205

View more
  2 in total

1.  Measurement of cellular-interstitial water exchange time in tumors based on diffusion-time-dependent diffusional kurtosis imaging.

Authors:  Jin Zhang; Gregory Lemberskiy; Linda Moy; Els Fieremans; Dmitry S Novikov; Sungheon Gene Kim
Journal:  NMR Biomed       Date:  2021-02-25       Impact factor: 4.044

2.  Diffusion-Weighted and Dynamic Contrast-Enhanced MRI Derived Imaging Metrics for Stereotactic Body Radiotherapy of Pancreatic Ductal Adenocarcinoma: Preliminary Findings.

Authors:  Richard Kinh Do; Marsha Reyngold; Ramesh Paudyal; Jung Hun Oh; Amaresha Shridhar Konar; Eve LoCastro; Karyn A Goodman; Amita Shukla-Dave
Journal:  Tomography       Date:  2020-06
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.