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Toward a noninvasive estimate of interstitial fluid pressure by dynamic contrast-enhanced MRI in a rat model of cerebral tumor.
Elmghirbi, Rasha; Nagaraja, Tavarekere N; Brown, Stephen L; Keenan, Kelly A; Panda, Swayamprava; Cabral, Glauber; Bagher-Ebadian, Hassan; Divine, George W; Lee, Ian Y; Ewing, James R.
Afiliação
  • Elmghirbi R; Department of Physics, Oakland University, Rochester, Michigan.
  • Nagaraja TN; Department of Neurology, Henry Ford Health System, Detroit, Michigan.
  • Brown SL; Department of Neurosurgery, Henry Ford Health System, Detroit, Michigan.
  • Keenan KA; Department of Radiation Oncology, Henry Ford Health System, Detroit, Michigan.
  • Panda S; Department of Neurosurgery, Henry Ford Health System, Detroit, Michigan.
  • Cabral G; Department of Neurology, Henry Ford Health System, Detroit, Michigan.
  • Bagher-Ebadian H; Department of Neurology, Henry Ford Health System, Detroit, Michigan.
  • Divine GW; Department of Physics, Oakland University, Rochester, Michigan.
  • Lee IY; Department of Radiation Oncology, Henry Ford Health System, Detroit, Michigan.
  • Ewing JR; Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan.
Magn Reson Med ; 80(5): 2040-2052, 2018 11.
Article em En | MEDLINE | ID: mdl-29524243
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Meios de Contraste / Líquido Extracelular Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Meios de Contraste / Líquido Extracelular Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2018 Tipo de documento: Article