Literature DB >> 29524243

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

Rasha Elmghirbi1,2, Tavarekere N Nagaraja3, Stephen L Brown4, Kelly A Keenan3, Swayamprava Panda2, Glauber Cabral2, Hassan Bagher-Ebadian1,4, George W Divine5, Ian Y Lee3, James R Ewing1,2,6.   

Abstract

PURPOSE: This study demonstrates a DCE-MRI estimate of tumor interstitial fluid pressure (TIFP) and hydraulic conductivity in a rat model of glioblastoma, with validation against an invasive wick-in-needle (WIN) technique. An elevated TIFP is considered a mark of aggressiveness, and a decreased TIFP a predictor of response to therapy.
METHODS: The DCE-MRI studies were conducted in 36 athymic rats (controls and posttreatment animals) with implanted U251 cerebral tumors, and with TIFP measured using a WIN method. Using a model selection paradigm and a novel application of Patlak and Logan plots to DCE-MRI data, the MRI parameters required for estimating TIFP noninvasively were estimated. Two models, a fluid-mechanical model and a multivariate empirical model, were used for estimating TIFP, as verified against WIN-TIFP.
RESULTS: Using DCE-MRI, the mean estimated hydraulic conductivity (MRI-K) in U251 tumors was (2.3 ± 3.1) × 10-5 (mm2 /mmHg-s) in control studies. Significant positive correlations were found between WIN-TIFP and MRI-TIFP in both mechanical and empirical models. For instance, in the control group of the fluid-mechanical model, MRI-TIFP was a strong predictor of WIN-TIFP (R2  = 0.76, p < .0001). A similar result was found in the bevacizumab-treated group of the empirical model (R2  = 0.93, p = .014).
CONCLUSION: This research suggests that MRI dynamic studies contain enough information to noninvasively estimate TIFP in this, and possibly other, tumor models, and thus might be used to assess tumor aggressiveness and response to therapy.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  DCE-MRI; Darcy's law; dynamic contrast-enhanced MRI; glioma; tissue hydraulic conductivity; tumor interstitial fluid pressure

Mesh:

Substances:

Year:  2018        PMID: 29524243      PMCID: PMC6107371          DOI: 10.1002/mrm.27163

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


  36 in total

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Authors:  Carl-Henrik Heldin; Kristofer Rubin; Kristian Pietras; Arne Ostman
Journal:  Nat Rev Cancer       Date:  2004-10       Impact factor: 60.716

6.  Pulmonary and lymph node metastasis is associated with primary tumor interstitial fluid pressure in human melanoma xenografts.

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Journal:  Cancer Res       Date:  2002-02-01       Impact factor: 12.701

7.  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

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Journal:  Cancer Res       Date:  1990-08-01       Impact factor: 12.701

9.  Characterization of neuroblastoma xenograft in rat flank. I. Growth, interstitial fluid pressure, and interstitial fluid velocity distribution profiles.

Authors:  G R DiResta; J Lee; S M Larson; E Arbit
Journal:  Microvasc Res       Date:  1993-09       Impact factor: 3.514

10.  Interstitial hypertension in superficial metastatic melanomas in humans.

Authors:  Y Boucher; J M Kirkwood; D Opacic; M Desantis; R K Jain
Journal:  Cancer Res       Date:  1991-12-15       Impact factor: 12.701

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  9 in total

1.  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

2.  Estimation of Mechanical and Transport Parameters in Cancers Using Short Time Poroelastography.

Authors:  Sharmin Majumder; Md Tauhidul Islam; Raffaella Righetti
Journal:  IEEE J Transl Eng Health Med       Date:  2022-08-16

3.  Pulsed focused ultrasound lowers interstitial fluid pressure and increases nanoparticle delivery and penetration in head and neck squamous cell carcinoma xenograft tumors.

Authors:  Ali Mohammadabadi; Ruby N Huynh; Aniket S Wadajkar; Rena G Lapidus; Anthony J Kim; Christopher B Raub; Victor Frenkel
Journal:  Phys Med Biol       Date:  2020-06-22       Impact factor: 3.609

4.  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

5.  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

6.  Intratumor Heterogeneity in Interstitial Fluid Pressure in Cervical and Pancreatic Carcinoma Xenografts.

Authors:  Lise Mari K Hansem; Ruixia Huang; Catherine S Wegner; Trude G Simonsen; Jon-Vidar Gaustad; Anette Hauge; Einar K Rofstad
Journal:  Transl Oncol       Date:  2019-06-04       Impact factor: 4.243

7.  Longitudinal Monitoring of Simulated Interstitial Fluid Pressure for Pancreatic Ductal Adenocarcinoma Patients Treated with Stereotactic Body Radiotherapy.

Authors:  Ramesh Paudyal; Eve LoCastro; Marsha Reyngold; Richard Kinh Do; Amaresha Shridhar Konar; Jung Hun Oh; Abhay Dave; Kenneth Yu; Karyn A Goodman; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2021-08-26       Impact factor: 6.639

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.  Towards noninvasive estimation of tumour pressure by utilising MR elastography and nonlinear biomechanical models: a simulation and phantom study.

Authors:  Daniel Fovargue; Marco Fiorito; Adela Capilnasiu; David Nordsletten; Jack Lee; Ralph Sinkus
Journal:  Sci Rep       Date:  2020-03-27       Impact factor: 4.379

  9 in total

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