Quantifying vascular heterogeneity using microbubble disruption- replenishment kinetics in patients with renal cell cancer

Investigative Radiology

Volumn 49, Issue 2, 2014, Pages 116-123

  Hudson, John M ^a,b   Williams, Ross ^a   Karshafian, Raffi ^c   Milot, Laurent ^b   Atri, Mostafa ^d   Burns, Peter N ^a,b   Bjarnason, Georg A ^e  

^a UNIVERSITY OF TORONTO   (Canada)

^b SUNNYBROOK RESEARCH INSTITUTE   (Canada)

^c RYERSON UNIVERSITY   (Canada)

^d TORONTO GENERAL HOSPITAL   (Canada)

^e DEPARTMENT OF RADIATION ONCOLOGY   (Canada)

Author keywords

Antiangiogenic therapy; Dynamic contrast enhanced ultrasound; Kidney cancer; Microbubble contrast agents; Microvascular architecture; Perfusion; Sunitinib

Indexed keywords

SUNITINIB;

ADULT; AGED; ALGORITHM; ANTIANGIOGENIC THERAPY; ARTICLE; BLOOD VOLUME; CLINICAL ARTICLE; COMPUTER SIMULATION; CONTRAST ENHANCEMENT; CONTROLLED STUDY; ECHOGRAPHY; FEMALE; FLOW RATE; HUMAN; KIDNEY CANCER; MALE; MICROBUBBLE; MICROBUBBLE DISRUPTION REPLENISHMENT; MICROCIRCULATION; MIDDLE AGED; PRIORITY JOURNAL; PROGRESSION FREE SURVIVAL; RADIOLOGICAL PARAMETERS; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; VERY ELDERLY;

ADULT; AGED; ANGIOGENESIS INHIBITORS; CARCINOMA, RENAL CELL; CONTRAST MEDIA; FEMALE; FLUOROCARBONS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INDOLES; KIDNEY NEOPLASMS; KINETICS; MALE; METABOLIC CLEARANCE RATE; MIDDLE AGED; PYRROLES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84893668256     PISSN: 00209996     EISSN: 15360210     Source Type: Journal    
DOI: 10.1097/RLI.0000000000000003     Document Type: Article

References (40)

1. Vaupel P. Tumor microenvironmental physiology and its implications for radiation oncology. Semin Radiat Oncol. 2004;14:198-206.
2. Cosgrove D, Blomley M. Liver tumors. Abdom Imaging. 2004;29:446-454.
3. Halpern E, Rosenberg M, Gomella LG. Prostate cancer: contrast-enhanced US for detection. Radiology. 2001;219:219-225.
4. Lavisse S, Lejeune P, Rouffiac V, et al. Early quantitative evaluation of a tumor vasculature disruptive agent AVE8062 using dynamic contrast-enhanced ultrasonography. Invest Radiol. 2008;43:100-111.
5. Wei K, Jayaweera A, Firoozan S, et al. Quantification of myocardial blood flow with ultrasound-induced destruction of microbubbles administered as a constant venous infusion. Circulation. 1998;97:473-483.
6. Correas JM, Claudon M, Tranquart F, et al. The kidney: imaging with microbubble contrast agents. Ultrasound Q. 2006;22:53-66.
7. Lamuraglia M, Bridal SL, Santin M, et al. Clinical relevance of contrastenhanced ultrasound in monitoring antiangiogenic therapy of cancer: current status and perspectives. Crit Rev Oncol Hematol. 2010;73:202-212.
8. Williams R, Hudson JM, Lloyd BA, et al. Dynamic microbubble contrastenhanced US to measure tumor response to targeted therapy: a proposed clinical protocol with results from renal cell carcinoma patients receiving antiangiogenic therapy. Radiology. 2011;260:581-590.
9. Hudson JM, Williams R, Lloyd B, et al. Improved flow measurement using microbubble contrast agents and disruption-replenishment: clinical application to tumour monitoring. Ultrasound Med Biol. 2011;37:1210-1221.
10. Karshafian R, Burns P, Henkelman M. Transit time kinetics in ordered and disordered vascular trees. Phys Med Biol. 2003;48:3225-3237.
11. Laufer J, Johnson P, Zhang E, et al. In vivo preclinical photoacoustic imaging of tumor vasculature development and therapy. J Biomed Opt. 2012;17: 0560161-0560168.
12. McDonald D, Choyke P. Imaging of angiogenesis: from microscope to clinic. Nat Med. 2003;9:713-725.
13. Tozer GM, Ameer-Beg SM, Baker J, et al. Intravital imaging of tumour vascular networks using multi-photon fluorescence microscopy. Adv Drug Deliv Rev. 2005;57:135-152.
14. Arditi M, Frinking PJ, Zhou X, et al. A new formalism for the quantification of tissue perfusion by the destruction-replenishment method in contrast ultrasound imaging. IEEE Trans Ultrason Ferroelectr Freq Control. 2006;53: 1118-1129.
15. Lucidarme O, Franchi-Abella S, Correas J, et al. Blood flow quantification with contrast-enhanced US: "entrance in the section" phenomenonVphantom and rabbit study. Radiology. 2003;228:473-479.
16. Hudson JM, Karshafian R, Burns PN. Quantification of flow using ultrasound and microbubbles: a disruption replenishment model based on physical principles. Ultrasound Med Biol. 2009;35:2007-2020.
17. Hudson JM, Karshafian R, Burns PN. P2B-5 quantification of flow using ultrasound and microbubbles: a disruption replenishment model based on physical principles. IEEE Ultrasonics Symposium. 2006:1588-1591.
18. Hudson JM, Leung K, Burns PN. The Lognormal Perfusion Model for Disruption Replenishment Measurements of Blood Flow: In Vivo Validation. Ultrasound Med Biol. 2011;37:1571-1578.
19. Lampaskis M, Averkiou M. Investigation of The Relationship of Nonlinear Backscattered Ultrasound Intensity with Microbubble Concentration at Low MI. Ultrasound Med Biol. 2010;36:306-312.
20. Hudson JM. Lognormal Perfusion Model. 2013. Available at: http://www.mathworks.com/matlabcentral/fileexchange/40786-lognormal-perfusion- model. Accessed March 13, 2013.
21. Cohn DL. Optimal Systems: II. The Vascular System. Bull Math Biophys. 1955; 17:219-227.
22. Guccione JM, Kassab GS, Ratcliffe MB. Computational Cardiovascular Mechanics. New York, NY: Springer; 2010.
23. Konerding M, Malkusch W, Klapthor B, et al. Evidence for characteristic vascular patterns in solid tumours: quantitative studies using corrosion casts. Br J Cancer. 1999;80:724-732.
24. Zamir M, Phipps S. Morphometric analysis of the distributing vessels of the kidney. Can J Physiol Pharmacol. 1987;65:2433-2440.
25. De Bazelaire C, Rofsky N, Duhamel G, et al. Arterial spin labeling blood flow magnetic resonance imaging for the characterization of metastatic renal cell carcinoma. Acad Radiol. 2005;12:347-357.
26. Popel A. Handbook of Bioengineering. New York, NY: McGraw-Hill; 1987.
27. Pries AR, Secomb TW, Gaehtgens P, et al. Blood flow in microvascular networks: experiments and simulation. Circ Res. 1990;67:826-834.
28. Vaupel P, Kallinowski F, Okunieff P. Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: a review. Cancer Res. 1989;49:6449-6465.
29. Jain R. Normalization of tumor vasculature: an emerging concept in antiangiogenic therapy. Science. 2005;307:58-62.
30. Fukumura D, Jain RK. Tumor microvasculature and microenvironment: targets for anti-angiogenesis and normalization. Microvasc Res. 2007;74:72-84.
31. Lassau N, Vilgrain V, Taieb S, et al. Evaluation with DCE-US of antiangiogenic treatments in 539 patients allowing the selection of one surrogate marker correlated to overall survival. J Clin Oncol. 2012;30(suppl). Abstr 4618.
32. Gerlinger M, Rowan AJ, Horswell S, et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med. 2012; 366:883-892.
33. Stride E, Tang M-X, Eckersley RJ. Physical phenomena affecting quantitative imaging of ultrasound contrast agents. Appl Acoust. 2009;70:1352-1362.
34. Lassau N, Chapotot L, Benatsou B, et al. Standardization of dynamic contrastenhanced ultrasound for the evaluation of antiangiogenic therapies: the French multicenter Support for Innovative and Expensive Techniques Study. Invest Radiol. 2012;47:711-716.
35. Sirsi SR, Flexman ML, Vlachos F, et al. Contrast ultrasound imaging for identification of early responder tumor models to anti-angiogenic therapy. Ultrasound Med Biol. 2012;38:1019-1029.
36. Zhou J, Cao L, Liu J, et al. Quantitative assessment of tumor blood flow in mice after treatment with different doses of an antiangiogenic agent with contrast-enhanced destruction-replenishment US. Radiology. 2011;259: 406-413.
37. Lassau N, Chami L, Koscielny S, et al. Quantitative functional imaging by dynamic contrast enhanced ultrasonography (DCE-US) in GIST patients treated with masatinib. Invest New Drugs. 2012;30:765-771.
38. Gauthier TP, Averkiou MA, Leen ELS. Perfusion quantification using dynamic contrast-enhanced ultrasound: the impact of dynamic range and gain on time-intensity curves. Ultrasonics. 2011;51:102-106.
39. Hoyt K, Sorace A, Saini R. Quantitative mapping of tumor vascularity using volumetric contrast-enhanced ultrasound. Invest Radiol. 2012;47:167-174.
40. Mancuso M, Davis R, Norberg S, et al. Rapid vascular regrowth in tumors after reversal of VEGF inhibition. J Clin Invest. 2006;116:2610-2621.