Assessment of the interstitial fluid pressure of tumors by dynamic contrast-enhanced magnetic resonance imaging with contrast agents of different molecular weights

References

• Lunt SJ, Fyles A, Hill RP, Milosevic M. Interstitial fluid pressure in tumors: Therapeutic barrier and biomarker of angiogenesis. Future Oncol 2008;4:793–802.
   PubMed Web of Science ®Google Scholar
• Heldin CH, Rubin K, Pietras K, Östman A. High interstitial fluid pressure―an obstacle in cancer therapy. Nat Rev Cancer 2004;4:806–13.
   PubMed Web of Science ®Google Scholar
• Rofstad EK, Gaustad JV, Brurberg KG, Mathiesen B, Galappathi K, Simonsen TG. Radiocurability is associated with interstitial fluid pressure in human tumor xenografts. Neoplasia 2009;11:1243–51.
   PubMed Web of Science ®Google Scholar
• Rofstad EK, Ruud EBM, Mathiesen B, Galappathi K. Associations between radiocurability and interstitial fluid pressure in human tumor xenografts without hypoxic tissue. Clin Cancer Res 2010;16:936–45.
   PubMed Web of Science ®Google Scholar
• Rofstad EK, Tunheim SH, Mathiesen B, Graff BA, Halsør EF, Nilsen K, . Pulmonary and lymph node metastasis is associated with primary tumor interstitial fluid pressure in human melanoma xenografts. Cancer Res 2002;62:661–4.
   PubMed Web of Science ®Google Scholar
• Milosevic M, Fyles A, Hedley D, Pintilie M, Levin W, Manchul L, . Interstitial fluid pressure predicts survival in patients with cervix cancer independent of clinical prognostic factors and tumor oxygen measurements. Cancer Res 2001;61:6400–5.
   PubMed Web of Science ®Google Scholar
• Fyles A, Milosevic M, Pintilie M, Syed A, Levin W, Manchul L, . Long-term performance of interstitial fluid pressure and hypoxia as prognostic factors in cervix cancer. Radiother Oncol 2006;80:132–7.
   PubMed Web of Science ®Google Scholar
• Yeo SG, Kim JS, Cho MJ, Kim KH, Kim JS. Interstitial fluid pressure as a prognostic factor in cervical cancer following radiation therapy. Clin Cancer Res 2009;15:6201–7.
   PubMed Web of Science ®Google Scholar
• Jain RK. Delivery of molecular medicine to solid tumors. Science 1996;271:1079–80.
   PubMed Web of Science ®Google Scholar
• Milosevic M, Fyles A, Hill RP. The relationship between elevated interstitial fluid pressure and blood flow in tumors: A bioengineering analysis. Int J Radiat Oncol Biol Phys 1999;43:1111–23.
   PubMed Web of Science ®Google Scholar
• Haider MA, Sitartchouk I, Roberts TPL, Fyles A, Hashmi AT, Milosevic M. Correlations between dynamic contrast-enhanced magnetic resonance imaging-derived measures of tumor microvasculature and interstitial fluid pressure in patients with cervical cancer. J Magn Reson Imaging 2007;25:153–9.
   PubMed Web of Science ®Google Scholar
• Yankeelov TE, Gore JC. Dynamic contrast enhanced magnetic resonance imaging in oncology: Theory, data acquisition, analysis, and examples. Curr Med Imaging Rev 2009;3:91–107.
   PubMed Web of Science ®Google Scholar
• Henderson E, Sykes J, Drost D, Weinmann HJ, Rutt BK, Lee TY. Simultaneous MRI measurement of blood flow, blood volume, and capillary permeability in mammary tumors using two different contrast agents. J Magn Reson Imaging 2000;12:991–1003.
   PubMed Web of Science ®Google Scholar
• de Lussanet QG, Langereis S, Beets-Tan RGH, van Genderen MHP, Griffioen AW, van Engelshoven JMA, . Dynamic contrast-enhanced MR imaging kinetic parameters and molecular weight of dendritic contrast agents in tumor angiogenesis in mice. Radiology 2005;235: 65–72.
   PubMed Web of Science ®Google Scholar
• Donaldson SB, Betts G, Bonington SC, Homer JJ, Slevin NJ, Kershaw LE, . Perfusion estimated with rapid dynamic contrast-enhanced magnetic resonance imaging correlates inversely with vascular endothelial growth factor expression and pimonidazole staining in head-and-neck cancer: A pilot study. Int J Radiat Oncol Biol Phys 2011;81:1176–83.
   PubMed Web of Science ®Google Scholar
• Benjaminsen IC, Graff BA, Brurberg KG, Rofstad EK. Assessment of tumor blood perfusion by high-resolution DCE-MRI: A preclinical study of human melanoma xenografts. Magn Reson Med 2004;52:269–76.
   PubMed Web of Science ®Google Scholar
• Egeland TAM, Simonsen TG, Gaustad JV, Gulliksrud K, Ellingsen C, Rofstad EK. Dynamic contrast-enhanced magnetic resonance imaging of tumors: Preclinical validation of parametric images. Radiat Res 2009;172:339–47.
   PubMed Web of Science ®Google Scholar
• Gulliksrud K, Brurberg KG, Rofstad EK. Dynamic contrast-enhanced magnetic resonance imaging of tumor interstitial fluid pressure. Radiother Oncol 2009;91:107–13.
   PubMed Web of Science ®Google Scholar
• Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, . Estimating kinetic parameters from dynamic contrast-enhanced T1-weighted MRI of a diffusable tracer: Standardized quantities and symbols. J Magn Reson Imaging 1999;10:223–32.
   PubMed Web of Science ®Google Scholar
• Rofstad EK. Orthotopic human melanoma xenograft model systems for studies of tumour angiogenesis, pathophysiology, treatment sensitivity and metastatic pattern. Br J Cancer 1994;70:804–12.
   PubMed Web of Science ®Google Scholar
• Delrue LJ, Casneuf V, Van Damme N, Blanckaert P, Peeters M, Ceelen WP, . Assessment of neovascular permeability in a pancreatic tumor model using dynamic contrast-enhanced (DCE) MRI with contrast agents of different molecular weights. Magn Reson Mater Phys 2011;24:225–32.
   Web of Science ®Google Scholar
• Hittmair K, Gomiscek G, Langenberger K, Recht M, Imhof H, Kramer J. Method for the quantitative assessment of contrast agent uptake in dynamic contrast-enhanced MRI. Magn Reson Med 1994;31:567–71.
   PubMed Web of Science ®Google Scholar
• Ozerdem U, Hargens AR. A simple method for measuring interstitial fluid pressure in cancer tissues. Microvasc Res 2005;70:116–20.
   PubMed Web of Science ®Google Scholar
• Garcia-Martin ML, Martinez GV, Raghunand N, Sherry AD, Zhang S, Gillies RJ. High resolution pHe imaging of rat glioma using pH-dependent relaxivity. Magn Reson Med 2006;55:309–15.
   PubMed Web of Science ®Google Scholar
• Michoux N, Huwart L, Abarca-Quinones J, Dorvillius M, Annet L, Peeters F, . Transvascular and interstitial transport in rat hepatocellular carcinomas: Dynamic contrast-enhanced MRI assessment with low- and high-molecular weight agents. J Magn Reson Imaging 2008;28:906–14.
   PubMed Web of Science ®Google Scholar
• Cao Y, Li D, Shen Z, Normolle D. Sensitivity of quantitative metrics derived from DCE MRI and a pharmacokinetic model to image quality and acquisition parameters. Acad Radiol 2010;17:468–78.
   PubMed Web of Science ®Google Scholar
• Ewing JR, Brown SL, Lu M, Panda S, Ding G, Knight RA, . Model selection in magnetic resonance imaging measurements of vascular permeability: Gadomer in a 9L model of rat cerebral tumor. J Cereb Blood Flow Metab 2006;26:310–20.
   PubMed Web of Science ®Google Scholar
• Sourbron SP, Buckley DL. On the scope and interpretation of the Tofts models for DCE-MRI. Magn Reson Med 2011;66:735–45.
   PubMed Web of Science ®Google Scholar
• Graff BA, Benjaminsen IC, Brurberg KG, Ruud EBM, Rofstad EK. Comparison of tumor blood perfusion assessed by dynamic contrast-enhanced MRI with tumor blood supply assessed by invasive imaging. J Magn Reson Imaging 2005;21:272–81.
   PubMed Web of Science ®Google Scholar
• Ellingsen C, Øvrebø KM, Galappathi K, Mathiesen B, Rofstad EK. The pO2 fluctuation pattern and cycling hypoxia in human cervical carcinoma and melanoma xenografts. Int J Radiat Oncol Biol Phys 2012;83:1317–23.
   PubMed Web of Science ®Google Scholar