Interstitial fluid pressure correlates with intravoxel incoherent motion imaging metrics in a mouse mammary carcinoma model

NMR in Biomedicine

Volumn 25, Issue 5, 2012, Pages 787-794

  Kim, Sungheon ^a   Decarlo, Lindsey ^a   Cho, Gene Y ^a   Jensen, Jens H ^a   Sodickson, Daniel K ^a   Moy, Linda ^a   Formenti, Silvia ^a   Schneider, Robert J ^a   Goldberg, Judith D ^a   Sigmund, Eric E ^a  

^a NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Breast cancer; Diffusion; Interstitial fluid pressure; Intravoxel incoherent motion; Pseudo diffusion

Indexed keywords

APPARENT DIFFUSION COEFFICIENT; BI-EXPONENTIAL MODELS; BREAST CANCER; DIFFUSION MODEL; DIFFUSION PARAMETERS; DIFFUSION WEIGHTED IMAGING; INTERSTITIAL FLUID PRESSURES; INTRAVOXEL INCOHERENT MOTION; MAMMARY CARCINOMA; MOTION IMAGING; NON-INVASIVE IMAGING; PSEUDO-DIFFUSION; THERAPEUTIC DRUGS; TREATMENT RESPONSE; VASCULAR NORMALIZATION; VOXEL-WISE ANALYSIS;

MAMMALS; TUMORS;

DIFFUSION;

BIOLOGICAL MARKER;

ANIMAL EXPERIMENT; ANIMAL MODEL; ANISOTROPY; ARTICLE; BIOMETRY; BREAST CARCINOMA; CELL HETEROGENEITY; CONTROLLED STUDY; DIFFUSION WEIGHTED IMAGING; FEMALE; HISTOLOGY; IMAGE QUALITY; IMAGING AND DISPLAY; INTRAVOXEL INCOHERENT MOTION; MOUSE; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; SIGNAL NOISE RATIO; TISSUE PRESSURE; TUMOR NECROSIS; TUMOR VOLUME; VOXEL BASED MORPHOMETRY;

ADENOCARCINOMA; ANIMALS; DIFFUSION; DIFFUSION MAGNETIC RESONANCE IMAGING; EXTRACELLULAR FLUID; FEMALE; MAMMARY NEOPLASMS, EXPERIMENTAL; MICE; MICE, INBRED BALB C; PRESSURE;

MUS;

EID: 84859638155     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.1793     Document Type: Article

References (47)

1. Jain RK, Baxter LT. Mechanisms of heterogeneous distribution of monoclonal antibodies and other macromolecules in tumors: significance of elevated interstitial pressure. Cancer Res. 1988; 48(24 Pt 1): 7022-7032.
2. Boucher Y, Jain RK. Microvascular pressure is the principal driving force for interstitial hypertension in solid tumors: implications for vascular collapse. Cancer Res. 1992; 52(18): 5110-5114.
3. DiResta GR, Lee J, Healey JH, Levchenko A, Larson SM, Arbit E. 'Artificial lymphatic system': a new approach to reduce interstitial hypertension and increase blood flow, pH and pO2 in solid tumors. Ann. Biomed. Eng. 2000; 28(5): 543-555.
4. Fadnes HO, Reed RK, Aukland K. Interstitial fluid pressure in rats measured with a modified wick technique. Microvasc. Res. 1977; 14(1): 27-36.
5. Jain RK. Normalizing tumor vasculature with anti-angiogenic therapy: a new paradigm for combination therapy. Nat. Med. 2001; 7(9): 987-989.
6. Jain RK. Normalization of tumor vasculature: an emerging concept in antiangiogenic therapy. Science, 2005; 307(5706): 58-62.
7. Fukumura D, Jain RK. Tumor microenvironment abnormalities: causes, consequences, and strategies to normalize. J. Cell. Biochem. 2007; 101(4): 937-949.
8. Netti PA, Roberge S, Boucher Y, Baxter LT, Jain RK. Effect of transvascular fluid exchange on pressure-flow relationship in tumors: a proposed mechanism for tumor blood flow heterogeneity. Microvasc. Res. 1996; 52(1): 27-46.
9. Baish JW, Netti PA, Jain RK. Transmural coupling of fluid flow in microcirculatory network and interstitium in tumors. Microvasc. Res. 1997; 53(2): 128-141.
10. Milosevic MF, Fyles AW, 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(5): 1111-1123.
11. Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 1986; 161(2): 401-407.
12. Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 1988; 168(2): 497-505.
13. Yamada I, Aung W, Himeno Y, Nakagawa T, Shibuya H. Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. Radiology 1999; 210(3): 617-623.
14. Sigmund EE, Cho GY, Kim S, Finn M, Moccaldi M, Jensen JH, Sodickson DK, Goldberg JD, Formenti S, Moy L. Intravoxel incoherent motion imaging of tumor microenvironment in locally advanced breast cancer. Magn. Reson. Med. 2011; 65(5): 1437-1447.
15. Chandarana H, Taouli B, Hecht E, Lee VS, Sigmund EE. Comparison of biexponential and monoexponential model of diffusion weighted imaging in evaluation of renal lesions: preliminary experience. Invest. Radiol. 2011; 46(5): 285-291.
16. Lemke A, Laun FB, Klau M, Re TJ, Simon D, Delorme S, Schad LR, Stieltjes B. Differentiation of pancreas carcinoma from healthy pancreatic tissue using multiple b-values: comparison of apparent diffusion coefficient and intravoxel incoherent motion derived parameters. Invest. Radiol. 2009; 44(12): 769-775.
17. van Rijswijk CS, Kunz P, Hogendoorn PC, Taminiau AH, Doornbos J, Bloem JL. Diffusion-weighted MRI in the characterization of soft-tissue tumors. J. Magn. Reson. Imaging 2002; 15(3): 302-307.
18. Wang Z, Su M-Y, Nalcioglu O. Measurement of tumor vascular volume and mean microvascular random flow velocity magnitude by dynamic GD-DTPA-albumin enhanced and diffusion-weighted MRI. Magn. Reson. Med. 1998; 40(3): 397-404.
19. Wang Z, Su M-Y, Najafi A, Nalcioglu O. Effect of vasodilator hydralazine on tumor microvascular random flow and blood volume as measured by intravoxel incoherent motion (IVIM) weighted MRI in conjunction with Gd-DTPA-albumin enhanced MRI. Magn. Reson. Imaging 2001; 19(8): 1063-1072.
20. Gade TP, Buchanan IM, Motley MW, Mazaheri Y, Spees WM, Koutcher JA. Imaging intratumoral convection: pressure-dependent enhancement in chemotherapeutic delivery to solid tumors. Clin. Cancer Res. 2009; 15(1): 247-255.
21. Gerber HP, Ferrara N. Pharmacology and pharmacodynamics of bevacizumab as monotherapy or in combination with cytotoxic therapy in preclinical studies. Cancer Res. 2005; 65(3): 671-680.
22. Basser PJ, Mattiello J, LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. J. Magn. Reson. B 1994; 103(3): 247-254.
23. Luciani A, Vignaud A, Cavet M, Tran Van Nhieu J, Mallat A, Ruel L, Laurent A, Deux J-F, Brugieres P, Rahmouni A. Liver cirrhosis: intravoxel incoherent motion MR imaging-pilot study. Radiology 2008; 249(3): 891-899.
24. Wirestam R, Borg M, Brockstedt S, Lindgren A, Holtas S, Stahlberg F. Perfusion-related parameters in intravoxel incoherent motion MR imaging compared with CBV and CBF measured by dynamic susceptibility-contrast MR technique. Acta Radiol. 2001; 42(2): 123-128.
25. Moteki T, Horikoshi H. Evaluation of hepatic lesions and hepatic parenchyma using diffusion-weighted echo-planar MR with three values of gradient b-factor. J. Magn. Reson. Imaging 2006; 24(3): 637-645.
26. Callot V, Bennett E, Decking UKM, Balaban RS, Wen H. In vivo study of microcirculation in canine myocardium using the IVIM method. Magn. Reson. Med. 2003; 50(3): 531-540.
27. Yao L, Sinha U. Imaging the microcirculatory proton fraction of muscle with diffusion-weighted echo-planar imaging. Acad. Radiol. 2000; 7(1): 27-32.
28. Le Bihan D, Turner R. The capillary network: a link between IVIM and classical perfusion. Magn. Reson. Med. 1992; 27(1): 171-178.
29. Schwarz G. Estimating the dimension of a model. Ann. Stat. 1978; 6(2): 461-464.
30. Swartz MA, Berk DA, Jain RK. Transport in lymphatic capillaries. I. Macroscopic measurements using residence time distribution theory. Am. J. Physiol. 1996; 270(1 Pt 2): H324-H329.
31. Gulliksrud K, Brurberg KG, Rofstad EK. Dynamic contrast-enhanced magnetic resonance imaging of tumor interstitial fluid pressure. Radiother. Oncol. 2009; 91(1): 107-113.
32. Haider MA, Sitartchouk I, Roberts TP, 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(1): 153-159.
33. Farace P, Boschi F. Interstitial fluid pressure as a function of DCE-MRI derived parameters. Radiother. Oncol. 2010; 94(3): 384-385; author reply 385-386.
34. Gulliksrud K, Mathiesen B, Galappathi K, Rofstad EK. Quantitative assessment of hypoxia in melanoma xenografts by dynamic contrast-enhanced magnetic resonance imaging: intradermal versus intramuscular tumors. Radiother. Oncol. 2010; 97(2): 233-238.
35. Hassid Y, Furman-Haran E, Margalit R, Eilam R, Degani H. Noninvasive magnetic resonance imaging of transport and interstitial fluid pressure in ectopic human lung tumors. Cancer Res. 2006; 66(8): 4159-4166.
36. Hassid Y, Eyal E, Margalit R, Furman-Haran E, Degani H. Non-invasive imaging of barriers to drug delivery in tumors. Microvasc. Res. 2008; 76(2): 94-103.
37. Duong TQ, Kim SG. In vivo MR measurements of regional arterial and venous blood volume fractions in intact rat brain. Magn. Reson. Med. 2000; 43(3): 393-402.
38. Maki JH, MacFall JR, Johnson GA. The use of gradient flow compensation to separate diffusion and microcirculatory flow in MRI. Magn. Reson. Med. 1991; 17(1): 95-107.
39. Kennan RP, Gao JH, Zhong J, Gore JC. A general model of microcirculatory blood flow effects in gradient sensitized MRI. Med. Phys. 1994; 21(4): 539-545.
40. Nevo U, Ozarslan E, Komlosh ME, Koay CG, Sarlls JE, Basser PJ. A system and mathematical framework to model shear flow effects in biomedical DW-imaging and spectroscopy. NMR Biomed. 2010; 23(7): 734-744.
41. Henkelman RM, Neil JJ, Xiang QS. A quantitative interpretation of IVIM measurements of vascular perfusion in the rat brain. Magn. Reson. Med. 1994; 32(4): 464-469.
42. Ahn CB, Lee SY, Nalcioglu O, Cho ZH. The effects of random directional distributed flow in nuclear magnetic resonance imaging. Med. Phys. 1987; 14(1): 43-48.
43. Heldin CH, Rubin K, Pietras K, Ostman A. High interstitial fluid pressure-an obstacle in cancer therapy. Nat. Rev. Cancer 2004; 4(10): 806-813.
44. Jain RK. Physiological barriers to delivery of monoclonal antibodies and other macromolecules in tumors. Cancer Res. 1990; 50(3 Suppl): 814s-819s.
45. DiResta GR, Lee J, Healey JH, Larson SM, Arbit E. Enhancing the uptake of chemotherapeutic drugs into tumors using an 'artificial lymphatic system'. Ann. Biomed. Eng. 2000; 28(5): 556-564.
46. DiResta GR, Aiken SW, Brown HK, Bergman PJ, Hohenhaus A, Ehrhart EJ, Baer K, Healey JH. Use of an artificial lymphatic system during carboplatin infusion to improve canine osteosarcoma blood flow and clinical response. Ann. Surg. Oncol. 2007; 14(8): 2411-2421.
47. Batchelor TT, Sorensen AG, di Tomaso E, Zhang WT, Duda DG, Cohen KS, Kozak KR, Cahill DP, Chen PJ, Zhu M, Ancukiewicz M, Mrugala MM, Plotkin S, Drappatz J, Louis DN, Ivy P, Scadden DT, Benner T, Loeffler JS, Wen PY, Jain RK. AZD2171, a pan-VEGF receptor tyrosine kinase inhibitor, normalizes tumor vasculature and alleviates edema in glioblastoma patients. Cancer Cell 2007; 11(1): 83-95.