Literature DB >> 22127934

Model selection for DCE-T1 studies in glioblastoma.

Hassan Bagher-Ebadian1, Rajan Jain, Siamak P Nejad-Davarani, Tom Mikkelsen, Mei Lu, Quan Jiang, Lisa Scarpace, Ali S Arbab, Jayant Narang, Hamid Soltanian-Zadeh, Ramesh Paudyal, James R Ewing.   

Abstract

Dynamic contrast enhanced T(1)-weighted MRI using the contrast agent gadopentetate dimeglumine (Gd-DTPA) was performed on 10 patients with glioblastoma. Nested models with as many as three parameters were used to estimate plasma volume or plasma volume and forward vascular transfer constant (K(trans)) and the reverse vascular transfer constant (k(ep)). These constituted models 1, 2, and 3, respectively. Model 1 predominated in normal nonleaky brain tissue, showing little or no leakage of contrast agent. Model 3 predominated in regions associated with aggressive portions of the tumor, and model 2 bordered model 3 regions, showing leakage at reduced rates. In the patient sample, v(p) was about four times that of white matter in the enhancing part of the tumor. K(trans) varied by a factor of 10 between the model 2 (1.9 ↔ 10(-3) min(-1)) and model 3 regions (1.9 ↔ 10(-2) min(-1)). The mean calculated interstitial space (model 3) was 5.5%. In model 3 regions, excellent curve fits were obtained to summarize concentration-time data (mean R(2) = 0.99). We conclude that the three parameters of the standard model are sufficient to fit dynamic contrast enhanced T(1) data in glioblastoma under the conditions of the experiment.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22127934      PMCID: PMC3292667          DOI: 10.1002/mrm.23211

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  24 in total

1.  Improved 3D quantitative mapping of blood volume and endothelial permeability in brain tumors.

Authors:  K L Li; X P Zhu; J Waterton; A Jackson
Journal:  J Magn Reson Imaging       Date:  2000-08       Impact factor: 4.813

2.  Temporal resolution and SNR requirements for accurate DCE-MRI data analysis using the AATH model.

Authors:  Lucy E Kershaw; Hai-Ling Margaret Cheng
Journal:  Magn Reson Med       Date:  2010-08-16       Impact factor: 4.668

3.  Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts.

Authors:  P S Tofts; A G Kermode
Journal:  Magn Reson Med       Date:  1991-02       Impact factor: 4.668

4.  Cerebral blood flow, blood volume and oxygen utilization. Normal values and effect of age.

Authors:  K L Leenders; D Perani; A A Lammertsma; J D Heather; P Buckingham; M J Healy; J M Gibbs; R J Wise; J Hatazawa; S Herold
Journal:  Brain       Date:  1990-02       Impact factor: 13.501

5.  Dark origins of the Patlak-Gjedde-Blasberg-Fenstermacher-Rutland -Rehling Plot.

Authors:  A Gjedde
Journal:  Nucl Med Commun       Date:  1997-03       Impact factor: 1.690

6.  Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations.

Authors:  C S Patlak; R G Blasberg
Journal:  J Cereb Blood Flow Metab       Date:  1985-12       Impact factor: 6.200

7.  Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data.

Authors:  C S Patlak; R G Blasberg; J D Fenstermacher
Journal:  J Cereb Blood Flow Metab       Date:  1983-03       Impact factor: 6.200

8.  A model for capillary exchange.

Authors:  J A Johnson; T A Wilson
Journal:  Am J Physiol       Date:  1966-06

9.  Temporal sampling requirements for the tracer kinetics modeling of breast disease.

Authors:  E Henderson; B K Rutt; T Y Lee
Journal:  Magn Reson Imaging       Date:  1998-11       Impact factor: 2.546

10.  Measuring blood volume and vascular transfer constant from dynamic, T(2)*-weighted contrast-enhanced MRI.

Authors:  Glyn Johnson; Stephan G Wetzel; Soonmee Cha; James Babb; Paul S Tofts
Journal:  Magn Reson Med       Date:  2004-05       Impact factor: 4.668

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  43 in total

1.  The expression of P2X₇ receptors in EPCs and their potential role in the targeting of EPCs to brain gliomas.

Authors:  Jingqin Fang; Xiao Chen; Shunan Wang; Tian Xie; Xuesong Du; Heng Liu; Sumei Wang; Xue Li; Jinhua Chen; Bo Zhang; Huaping Liang; Yizeng Yang; Weiguo Zhang
Journal:  Cancer Biol Ther       Date:  2015-04-03       Impact factor: 4.742

2.  Human cerebral blood volume measurements using dynamic contrast enhancement in comparison to dynamic susceptibility contrast MRI.

Authors:  Moran Artzi; Gilad Liberman; Guy Nadav; Faina Vitinshtein; Deborah T Blumenthal; Felix Bokstein; Orna Aizenstein; Dafna Ben Bashat
Journal:  Neuroradiology       Date:  2015-04-07       Impact factor: 2.804

Review 3.  State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications.

Authors:  Magalie Viallon; Victor Cuvinciuc; Benedicte Delattre; Laura Merlini; Isabelle Barnaure-Nachbar; Seema Toso-Patel; Minerva Becker; Karl-Olof Lovblad; Sven Haller
Journal:  Neuroradiology       Date:  2015-04-10       Impact factor: 2.804

4.  Repeatability of dynamic contrast enhanced vp parameter in healthy subjects and patients with brain tumors.

Authors:  Moran Artzi; Gilad Liberman; Deborah T Blumenthal; Felix Bokstein; Orna Aizenstein; Dafna Ben Bashat
Journal:  J Neurooncol       Date:  2018-11-03       Impact factor: 4.130

5.  Differentiation between treatment-related changes and progressive disease in patients with high grade brain tumors using support vector machine classification based on DCE MRI.

Authors:  Moran Artzi; Gilad Liberman; Guy Nadav; Deborah T Blumenthal; Felix Bokstein; Orna Aizenstein; Dafna Ben Bashat
Journal:  J Neurooncol       Date:  2016-01-11       Impact factor: 4.130

6.  Intratumor distribution and test-retest comparisons of physiological parameters quantified by dynamic contrast-enhanced MRI in rat U251 glioma.

Authors:  Madhava P Aryal; Tavarekere N Nagaraja; Stephen L Brown; Mei Lu; Hassan Bagher-Ebadian; Guangliang Ding; Swayamprava Panda; Kelly Keenan; Glauber Cabral; Tom Mikkelsen; James R Ewing
Journal:  NMR Biomed       Date:  2014-08-14       Impact factor: 4.044

7.  An extended vascular model for less biased estimation of permeability parameters in DCE-T1 images.

Authors:  Siamak P Nejad-Davarani; Hassan Bagher-Ebadian; James R Ewing; Douglas C Noll; Tom Mikkelsen; Michael Chopp; Quan Jiang
Journal:  NMR Biomed       Date:  2017-02-17       Impact factor: 4.044

8.  Acute Temporal Changes of MRI-Tracked Tumor Vascular Parameters after Combined Anti-angiogenic and Radiation Treatments in a Rat Glioma Model: Identifying Signatures of Synergism.

Authors:  Rasha Elmghirbi; Tavarekere N Nagaraja; Stephen L Brown; Swayamprava Panda; Madhava P Aryal; Kelly A Keenan; Hassan Bagher-Ebadian; Glauber Cabral; James R Ewing
Journal:  Radiat Res       Date:  2016-12-21       Impact factor: 2.841

9.  Joint arterial input function and tracer kinetic parameter estimation from undersampled dynamic contrast-enhanced MRI using a model consistency constraint.

Authors:  Yi Guo; Sajan Goud Lingala; Yannick Bliesener; R Marc Lebel; Yinghua Zhu; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2017-09-14       Impact factor: 4.668

10.  Effects of tyrosine kinase inhibitors and CXCR4 antagonist on tumor growth and angiogenesis in rat glioma model: MRI and protein analysis study.

Authors:  Meser M Ali; Sanath Kumar; Adarsh Shankar; Nadimpalli R S Varma; A S M Iskander; Branislava Janic; Wilson B Chwang; Rajan Jain; Abbas Babajeni-Feremi; Thaiz F Borin; Hassan Bagher-Ebadian; Stephen L Brown; James R Ewing; Ali S Arbab
Journal:  Transl Oncol       Date:  2013-12-01       Impact factor: 4.243

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