Literature DB >> 23197427

Impact of transvascular and cellular-interstitial water exchange on dynamic contrast-enhanced magnetic resonance imaging estimates of blood to tissue transfer constant and blood plasma volume.

Ramesh Paudyal1, Harish Poptani, Kejia Cai, Rong Zhou, Jerry D Glickson.   

Abstract

PURPOSE: To examine the effect of transvascular (k(be)) and cellular-interstitial water protons exchange (k(ie)) in estimates of the blood-to-tissue contrast agent transfer rate constant (K(trans)), interstitial volume fraction (v(e)), and blood plasma volume fraction (v(p)) using a full three-site two exchange (3S2X) model.
MATERIALS AND METHODS: Using the Bloch-McConnell equations, magnetic resonance imaging (MRI) signal arising from a 3S2X system was derived for the T(1)-weighted spoiled gradient-recalled echo (SPGR) pulse sequence. To model the effects of k(be) and k(ie) on estimates of R(1), the MRI-measured arterial input function, the different sets of values of kinetic parameters: K(trans), v(e), and v(p) and water protons exchange rates, k(be) and k(ie), were used. To calculate the tissue water protons R(1), the signal evolving from a 3S2X model was set to a monoexponential function. By comparing the estimated K(trans), v(e), and v(p) with their simulated model truth values, the impact of k(be) and k(ie) on K(trans), v(e), and v(p) was evaluated.
RESULTS: v(p) was strongly underestimated and K(trans) and v(e) were much less influenced by k(be), when k(ie) was held constant. When k(be) was held constant, the k(ie) had a significant effect on K(trans) and v(e) and less effect on v(p).
CONCLUSION: The full 3S2X model allows accurate estimation of K(trans), v(e), and v(p) and rates of water proton exchange.
Copyright © 2012 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23197427     DOI: 10.1002/jmri.23837

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  9 in total

1.  New insights on human skeletal muscle tissue compartments revealed by in vivo t2 NMR relaxometry.

Authors:  Ericky C A Araujo; Yves Fromes; Pierre G Carlier
Journal:  Biophys J       Date:  2014-05-20       Impact factor: 4.033

Review 2.  Model selection in measures of vascular parameters using dynamic contrast-enhanced MRI: experimental and clinical applications.

Authors:  James R Ewing; Hassan Bagher-Ebadian
Journal:  NMR Biomed       Date:  2013-08       Impact factor: 4.044

3.  Dynamic contrast enhanced MRI parameters and tumor cellularity in a rat model of cerebral glioma at 7 T.

Authors:  Madhava P Aryal; Tavarekere N Nagaraja; Kelly A Keenan; Hassan Bagher-Ebadian; Swayamprava Panda; Stephen L Brown; Glauber Cabral; Joseph D Fenstermacher; James R Ewing
Journal:  Magn Reson Med       Date:  2013-07-22       Impact factor: 4.668

4.  ROCKETSHIP: a flexible and modular software tool for the planning, processing and analysis of dynamic MRI studies.

Authors:  Samuel R Barnes; Thomas S C Ng; Naomi Santa-Maria; Axel Montagne; Berislav V Zlokovic; Russell E Jacobs
Journal:  BMC Med Imaging       Date:  2015-06-16       Impact factor: 1.930

Review 5.  Quantifying blood-brain barrier leakage in small vessel disease: Review and consensus recommendations.

Authors:  Michael J Thrippleton; Walter H Backes; Steven Sourbron; Michael Ingrisch; Matthias J P van Osch; Martin Dichgans; Franz Fazekas; Stefan Ropele; Richard Frayne; Robert J van Oostenbrugge; Eric E Smith; Joanna M Wardlaw
Journal:  Alzheimers Dement       Date:  2019-04-25       Impact factor: 21.566

6.  Water-Exchange-Modified Kinetic Parameters from Dynamic Contrast-Enhanced MRI as Prognostic Biomarkers of Survival in Advanced Hepatocellular Carcinoma Treated with Antiangiogenic Monotherapy.

Authors:  Sang Ho Lee; Koichi Hayano; Andrew X Zhu; Dushyant V Sahani; Hiroyuki Yoshida
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

7.  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

8.  Nongaussian Intravoxel Incoherent Motion Diffusion Weighted and Fast Exchange Regime Dynamic Contrast-Enhanced-MRI of Nasopharyngeal Carcinoma: Preliminary Study for Predicting Locoregional Failure.

Authors:  Ramesh Paudyal; Linda Chen; Jung Hun Oh; Kaveh Zakeri; Vaios Hatzoglou; C Jillian Tsai; Nancy Lee; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2021-03-06       Impact factor: 6.639

9.  Application of Community Detection Algorithm to Investigate the Correlation between Imaging Biomarkers of Tumor Metabolism, Hypoxia, Cellularity, and Perfusion for Precision Radiotherapy in Head and Neck Squamous Cell Carcinomas.

Authors:  Ramesh Paudyal; Milan Grkovski; Jung Hun Oh; Heiko Schöder; David Aramburu Nunez; Vaios Hatzoglou; Joseph O Deasy; John L Humm; Nancy Y Lee; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2021-08-03       Impact factor: 6.639

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.