Literature DB >> 26423316

Peritumoral tissue compression is predictive of exudate flux in a rat model of cerebral tumor: an MRI study in an embedded tumor.

James R Ewing1,2,3, Tavarekere N Nagaraja4, Madhava P Aryal5, Kelly A Keenan4, Rasha Elmghirbi1,3, Hassan Bagher-Ebadian1,3, Swayamprava Panda1, Mei Lu6, Tom Mikkelsen1,4, Glauber Cabral1, Stephen L Brown7.   

Abstract

MRI estimates of extracellular volume and tumor exudate flux in peritumoral tissue are demonstrated in an experimental model of cerebral tumor. Peritumoral extracellular volume predicted the tumor exudate flux. Eighteen RNU athymic rats were inoculated intracerebrally with U251MG tumor cells and studied with dynamic contrast enhanced MRI (DCE-MRI) approximately 18 days post implantation. Using a model selection paradigm and a novel application of Patlak and Logan plots to DCE-MRI data, the distribution volume (i.e. tissue porosity) in the leaky rim of the tumor and that in the tissue external to the rim (the outer rim) were estimated, as was the tumor exudate flow from the inner rim of the tumor through the outer rim. Distribution volume in the outer rim was approximately half that of the inner adjacent region (p < 1 × 10(-4)). The distribution volume of the outer ring was significantly correlated (R(2) = 0.9) with tumor exudate flow from the inner rim. Thus, peritumoral extracellular volume predicted the rate of tumor exudate flux. One explanation for these data is that perfusion, i.e. the delivery of blood to the tumor, was regulated by the compression of the mostly normal tissue of the tumor rim, and that the tumor exudate flow was limited by tumor perfusion.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  DCE-MRI; Logan plot; Patlak plot; dynamic contrast enhanced MRI; interstitial flow; tumor interstitial volume; tumor vasculature

Mesh:

Year:  2015        PMID: 26423316      PMCID: PMC4656050          DOI: 10.1002/nbm.3418

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


  42 in total

1.  Direct, quantitative, and noninvasive imaging of the transport of active agents through intact brain with positron emission tomography.

Authors:  Rachael W Sirianni; Ming-Qiang Zheng; W Mark Saltzman; Yiyun Huang; Richard E Carson
Journal:  Mol Imaging Biol       Date:  2013-10       Impact factor: 3.488

2.  Phenomenological model of interstitial fluid pressure in a solid tumor.

Authors:  L J Liu; S L Brown; J R Ewing; M Schlesinger
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-08-15

3.  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

4.  Graphical analysis of reversible radioligand binding from time-activity measurements applied to [N-11C-methyl]-(-)-cocaine PET studies in human subjects.

Authors:  J Logan; J S Fowler; N D Volkow; A P Wolf; S L Dewey; D J Schlyer; R R MacGregor; R Hitzemann; B Bendriem; S J Gatley
Journal:  J Cereb Blood Flow Metab       Date:  1990-09       Impact factor: 6.200

5.  MRI-Tracked Tumor Vascular Changes in the Hours after Single-Fraction Irradiation.

Authors:  Stephen L Brown; Tavarekere N Nagaraja; Madhava P Aryal; Swayamprava Panda; Glauber Cabral; Kelly Ann Keenan; Rasha Elmghirbi; Tom Mikkelsen; David Hearshen; Robert A Knight; Ning Wen; Jae Ho Kim; James R Ewing
Journal:  Radiat Res       Date:  2015-05-26       Impact factor: 2.841

6.  Model selection in magnetic resonance imaging measurements of vascular permeability: Gadomer in a 9L model of rat cerebral tumor.

Authors:  James R Ewing; Stephen L Brown; Mei Lu; Swayamprava Panda; Guangliang Ding; Robert A Knight; Yue Cao; Quan Jiang; Tavarekere N Nagaraja; Jamie L Churchman; Joseph D Fenstermacher
Journal:  J Cereb Blood Flow Metab       Date:  2006-03       Impact factor: 6.200

7.  Interstitial pressure gradients in tissue-isolated and subcutaneous tumors: implications for therapy.

Authors:  Y Boucher; L T Baxter; R K Jain
Journal:  Cancer Res       Date:  1990-08-01       Impact factor: 12.701

8.  Coevolution of solid stress and interstitial fluid pressure in tumors during progression: implications for vascular collapse.

Authors:  Triantafyllos Stylianopoulos; John D Martin; Matija Snuderl; Fotios Mpekris; Saloni R Jain; Rakesh K Jain
Journal:  Cancer Res       Date:  2013-04-30       Impact factor: 12.701

Review 9.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

10.  Interstitial fluid pressure in intracranial tumours in patients and in rodents.

Authors:  Y Boucher; H Salehi; B Witwer; G R Harsh; R K Jain
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

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  11 in total

1.  Toward a noninvasive estimate of interstitial fluid pressure by dynamic contrast-enhanced MRI in a rat model of cerebral tumor.

Authors:  Rasha Elmghirbi; Tavarekere N Nagaraja; Stephen L Brown; Kelly A Keenan; Swayamprava Panda; Glauber Cabral; Hassan Bagher-Ebadian; George W Divine; Ian Y Lee; James R Ewing
Journal:  Magn Reson Med       Date:  2018-03-09       Impact factor: 4.668

2.  Optimal mass transport kinetic modeling for head and neck DCE-MRI: Initial analysis.

Authors:  Rena Elkin; Saad Nadeem; Eve LoCastro; Ramesh Paudyal; Vaios Hatzoglou; Nancy Y Lee; Amita Shukla-Dave; Joseph O Deasy; Allen Tannenbaum
Journal:  Magn Reson Med       Date:  2019-07-04       Impact factor: 4.668

3.  Adaptation of laser interstitial thermal therapy for tumor ablation under MRI monitoring in a rat orthotopic model of glioblastoma.

Authors:  Tavarekere N Nagaraja; Seamus Bartlett; Katelynn G Farmer; Glauber Cabral; Robert A Knight; O Grahm Valadie; Stephen L Brown; James R Ewing; Ian Y Lee
Journal:  Acta Neurochir (Wien)       Date:  2021-09-23       Impact factor: 2.216

4.  Reproducibility and relative stability in magnetic resonance imaging indices of tumor vascular physiology over a period of 24h in a rat 9L gliosarcoma model.

Authors:  Tavarekere N Nagaraja; Rasha Elmghirbi; Stephen L Brown; Lonni R Schultz; Ian Y Lee; Kelly A Keenan; Swayamprava Panda; Glauber Cabral; Tom Mikkelsen; James R Ewing
Journal:  Magn Reson Imaging       Date:  2017-09-05       Impact factor: 2.546

5.  Imaging acute effects of bevacizumab on tumor vascular kinetics in a preclinical orthotopic model of U251 glioma.

Authors:  Tavarekere N Nagaraja; Rasha Elmghirbi; Stephen L Brown; Julian A Rey; Lonni Schultz; Abir Mukherjee; Glauber Cabral; Swayamprava Panda; Ian Y Lee; Malisa Sarntinoranont; Kelly A Keenan; Robert A Knight; James R Ewing
Journal:  NMR Biomed       Date:  2021-04-04       Impact factor: 4.044

6.  The impact of initial tumor microenvironment on imaging phenotype.

Authors:  Tavarekere N Nagaraja; Ana C deCarvalho; Stephen L Brown; Brent Griffith; Katelynn Farmer; Susan Irtenkauf; Laura Hasselbach; Abir Mukherjee; Seamus Bartlett; O Grahm Valadie; Glauber Cabral; Robert A Knight; Ian Y Lee; George W Divine; James R Ewing
Journal:  Cancer Treat Res Commun       Date:  2021-01-19

7.  Utilizing Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Analyze Interstitial Fluid Flow and Transport in Glioblastoma and the Surrounding Parenchyma in Human Patients.

Authors:  Krishnashis Chatterjee; Naciye Atay; Daniel Abler; Saloni Bhargava; Prativa Sahoo; Russell C Rockne; Jennifer M Munson
Journal:  Pharmaceutics       Date:  2021-02-04       Impact factor: 6.321

8.  A computational model of glioma reveals opposing, stiffness-sensitive effects of leaky vasculature and tumor growth on tissue mechanical stress and porosity.

Authors:  Julian A Rey; James R Ewing; Malisa Sarntinoranont
Journal:  Biomech Model Mechanobiol       Date:  2021-08-07

9.  Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Feasibility Analysis.

Authors:  Eve LoCastro; Ramesh Paudyal; Yousef Mazaheri; Vaios Hatzoglou; Jung Hun Oh; Yonggang Lu; Amaresha Shridhar Konar; Kira Vom Eigen; Alan Ho; James R Ewing; Nancy Lee; Joseph O Deasy; Amita Shukla-Dave
Journal:  Tomography       Date:  2020-06

10.  Computational Modeling of Interstitial Fluid Pressure and Velocity in Non-small Cell Lung Cancer Brain Metastases Treated With Stereotactic Radiosurgery.

Authors:  Nathaniel Swinburne; Eve LoCastro; Ramesh Paudyal; Jung Hun Oh; Neil K Taunk; Akash Shah; Kathryn Beal; Behroze Vachha; Robert J Young; Andrei I Holodny; Amita Shukla-Dave; Vaios Hatzoglou
Journal:  Front Neurol       Date:  2020-05-28       Impact factor: 4.003

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