Assessment of the effect of haematocrit-dependent arterial input functions on the accuracy of pharmacokinetic parameters in dynamic contrast-enhanced MRI

NMR in Biomedicine

Volumn 24, Issue 7, 2011, Pages 902-915

  Just, Nathalie ^a,b   Koh, Dow Mu ^b   D'Arcy, James ^b   Collins, David J ^b   Leach, Martin O ^b  

^a EPFL   (Switzerland)

^b INSTITUTE OF CANCER RESEARCH   (United Kingdom)

Author keywords

Arterial input function; Calibration; Gadodiamide; Prostate cancer; R 2

Indexed keywords

AREA UNDER THE CURVES; ARTERIAL INPUT FUNCTION; BIEXPONENTIAL; BLOOD VOLUMES; CALIBRATION CURVES; CONTRAST AGENT; DCE-MRI; DYNAMIC CONTRAST ENHANCED MRI; FEMORAL ARTERY; GADODIAMIDE; HAEMATOCRIT; INDIVIDUAL CALIBRATIONS; MODEL-BASED SIMULATIONS; PARAMETERS ESTIMATED; PHARMACOKINETIC PARAMETERS; PROSTATE CANCER; PROSTATE CANCERS; PROSTATE GLANDS; R 2; WHOLE BLOOD;

BLOOD; CALIBRATION; COMPUTER SIMULATION; DISEASES; ESTIMATION; GADOLINIUM; KINETIC PARAMETERS; PIXELS; RATE CONSTANTS;

PARAMETER ESTIMATION;

GADODIAMIDE;

ACCURACY; ARTICLE; BLOOD SAMPLING; BLOOD VOLUME; CALIBRATION; CANCER PATIENT; CANCER STAGING; CONTRAST ENHANCEMENT; EARLY CANCER; FEMORAL ARTERY; HEMATOCRIT; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROSTATE CANCER; SIMULATION; TUMOR MICROENVIRONMENT;

ARTERIES; CONTRAST MEDIA; GADOLINIUM DTPA; HEMATOCRIT; HUMANS; IMAGE ENHANCEMENT; MAGNETIC RESONANCE IMAGING; MALE; PROSTATIC NEOPLASMS; REGIONAL BLOOD FLOW;

EID: 80051698482     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.1648     Document Type: Article

References (68)

1. Padhani AR. Dynamic contrast-enhanced MR imaging. Cancer Imaging, 2000; 1: 52-63.
2. Leach MO, Brindle KM, Evelhoch JL, Griffiths JR, Horsman MR, Jackson A, Jayson GC, Judson IR, Knopp MV, Maxwell RJ, McIntyre D, Padhani AR, Price P, Rathbone R, Rustin GJ, Tofts PS, Tozer GM, Vennart W, Waterton JC, Williams SR, Workman P. Pharmacodynamic/Pharmacokinetic Technologies Advisory Committee, Drug Development Office, Cancer Research UK. The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations. Br. J. Cancer, 2005; 92: 1599-1610.
3. Alonzi R, Padhani AR, Allen C. Dynamic contrast enhanced MRI in prostate cancer. Eur. J. Radiol. 2007; 63: 335-350.
4. Yankeelov TE, Gore JC. Dynamic contrast enhanced magnetic resonance imaging in oncology: theory, data acquisition, analysis, and examples. Curr. Med. Imaging Rev. 2009; 1(3): 91-107.
5. O'Connor JP, Jackson A, Parker GJ, Jayson GC. DCE-MRI biomarkers in the clinical evaluation of antiangiogenic and vascular disrupting agents. Br. J. Cancer, 2007; 96: 189-195.
6. Parker GJM, Roberts C, Macdonald A, Buonaccorsi GA, Cheung S, Buckley DL, Jackson A, Watson Y, Davies K, Jayson GC. Experimentally derived functional form for a population averaged high temporal resolution arterial input function for dynamic contrast enhanced MRI. Magn. Reson. Med. 2006; 56: 993-1000.
7. Yang C, Karczmar GS, Medved M, Oto A, Zamora M, Stadler WM. Reproducibility assessment of a multiple reference tissue method for quantitative dynamic contrast enhanced-MRI analysis. Magn. Reson. Med. 2009; 61: 851-859.
8. Cheng HLM. Investigation and optimization of parameter accuracy in dynamic contrast-enhanced MRI. J. Magn. Reson. Imaging, 2008; 28: 736-743.
9. Duhamel G, Schlaug G, Alsop DC. Measurement of arterial input functions for DSCMRI using echo planar images: comparison of physical simulations with in-vivo results. Magn. Reson. Med. 2006; 55: 514-523.
10. Taylor JS, Tofts PS, Port R, Evelhoch JL, Knopp M, Reddick WE, Runge VM, Mayr N. MR imaging of tumor microcirculation: promise for the new millennium. J. Magn. Reson. Imaging, 1999; 10: 903-907.
11. Henderson E, Rutt BK, Lee TY. Temporal sampling requirements for the tracer kinetics modeling of breast disease. Magn. Reson. Imaging, 1998; 16: 1057-1073.
12. Conturo TE, Akbudak E, Kotys MS, Chen ML, Chun SJ, Hsu RM, Sweeney CC, Markham J. Arterial input functions for dynamic susceptibility contrast MRI: requirements and signal options. J. Magn. Reson. Imaging, 2005; 22: 697-703.
13. Rausch M, Scheffler K, Rudin M, Radü EW. Analysis of input functions from different arterial branches with gamma variate functions and cluster analysis for quantitative blood volume measurements. Magn. Reson. Imaging, 2000; 18: 1235-1243.
14. van Osch MJ, Vonken EJ, Viergever MA. Measuring the arterial input function with gradient echo sequences. Magn. Reson. Med. 2003; 49: 1067-1076.
15. Akbudak E, Hsu RM, Li Y, Conturo TE. ΔR and Δφ contrast agent perfusion effects in blood: quantitation and linearity assessment. Proceedings of the 6th Annual Meeting ISMRM, Sydney, Australia, 1998; 1197.
16. Rijpkema M, Kaanders JHAM, Joosten FB, van der Kogel AJ, Heerschap A. Method for quantitative mapping of dynamic MRI contrast agent uptake in human tumors. J. Magn. Reson. Imaging, 2001; 14: 457-463.
17. Turnbull LW, Buckley DL, Turnbull LS, Liney GP, Knowles AJ. Differentiation of prostatic carcinoma and benign prostatic hyperplasia: correlation between dynamic Gd-DTPA enhanced MR imaging and histopathology. J. Magn. Reson. Imaging, 1999; 9: 311-316.
18. Gulley JL, Aragon-Ching JB, Steinberg SM, Hussain MH, Sartor O, Higano CS, Petrylak DP, Chatta GS, Arlen PM, Figg WD, Dahut WL. Kinetics of serum androgen normalization and factors associated with testosterone reserve after limited androgen deprivation therapy for nonmetastatic prostate cancer. J. Urol. 2008; 180: 1432-1437.
19. Kiselev VG. On the theoretical basis of perfusion measurements by dynamic susceptibility contrast MRI. Magn. Reson. Med. 2001; 46: 1113-1122.
20. 2measurement for AIF assessment combined with DCE-MRI in a mouse tumor model. Magn. Reson. Mater. Phys. 2007; 20: 193-203.
21. 2*measurement. Magn. Reson. Med. 2009; 62: 672-681.
22. Prochnow D, Beyersdorff D, Warmuth C, Taupitz M, Gemeinhardt O, Lüdemann L. Implementation of a rapid inversion-prepared dual-contrast gradient echo sequence for quantitative dynamic contrast-enhanced magnetic resonance imaging of the human prostate. Magn. Reson. Imaging, 2005; 23: 983-990.
23. Zaitsev M, D'Arcy J, Collins DJ, Leach MO, Zilles K, Shah NJ. Dual-contrast echo planar imaging with keyhole: application to dynamic contrast-enhanced perfusion studies. Phys. Med. Biol. 2005; 50: 4491-4505.
24. Kim EJ, Kim DH, Lee SH, Huh YM, Song HAT, Suh JS. Simultaneous acquisition of perfusion and permeability from corrected relaxation rates with dynamic susceptibility contrast dual gradient echo. Magn. Reson. Imaging, 2004; 22: 307-314.
25. Vonken EJ, van Osch MJP, Bakker CJG, Viergever MA. Measurement of cerebral perfusion with dual-echo multi-slice quantitative dynamic susceptibility contrast MRI. J. Magn. Reson. Imaging, 1999; 10: 109-117.
26. Rempp KA, Brix G, Wenz F, Becker CR, Gückel F, Lorenz WJ. Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging. Radiology, 1994; 193: 637-641.
27. D'Arcy JA, Collins DJ, Rowland IJ, Padhani AR, Leach MO. Applications of sliding window reconstruction with Cartesian sampling for dynamic contrast enhanced MRI. NMR Biomed. 2002; 15: 174-183.
28. Spees WM, Yablonskiy DA, Oswood MC, Ackermann JJ. Water proton MR properties of human blood at 1.5T: magnetic susceptibility, T1, T2, T2 and non-Lorentzian signal behaviour. Magn. Reson. Med. 2001; 45: 533-542.
29. Vander Elst L, Laurent S, Muller RN. Multinuclear magnetic resonance characterization of paramagnetic contrast agents. The manifold effects of concentration and counterions. Invest. Radiol. 1998; 33: 828-834.
30. Laurent S, Elst LV, Muller RN. Comparative study of the physicochemical properties of six clinical low molecular weight gadolinium contrast agents. Contrast Media Mol. Imaging, 2006; 1: 128-137.
31. Tofts PS. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. J. Magn. Reson. Imaging, 1997; 7: 91-101.
32. Weinmann HJ, Laniado M, Mützel W. Pharmacokinetics of Gd-DTPA dimeglumine after intravenous injection into healthy volunteers. Physiol. Chem. Phys. Med. NMR, 1984; 16: 167-172.
33. Silvennoinen MJ, Kettunen MI, Kauppinen RA. Effects of haematocrit and oxygen saturation level on blood spin-lattice relaxation. Magn. Reson. Med. 2003; 49: 568-571.
34. Blockley NP, Jiang L, Gardener A, Ludman CN, Francis ST, Gowland PA. Field strength dependence of R1 and R2*relaxivities of human whole blood to Prohance, Vasovist, and deoxyhemoglobin. Magn. Reson. Med. 2008; 60: 1313-1320.
35. Zhao MJ, Clingman CH, Narvainen MJ, Kauppinen RA, van Zijl PCM. Oxygenation and haematocrit dependence of transverse relaxation rates of blood at3T. Magn. Reson. Med. 2007; 58: 592-597.
36. Lin W, Paczynski RP, Celik A, Hsu CY, Powers WJ. Experimental hypoxemic hypoxia: effects of variation in haematocrit on magnetic resonance T2 *-weighted brain images. J. Cereb. Blood Flow Metab. 1998; 18: 1018-1021.
37. Vonken EP, van Osch MJ, Bakker CJ, Viergever MA. Simultaneous quantitative cerebral perfusion and Gd-DTPA extravasation measurement with dual-echo dynamic susceptibility contrast MRI. Magn. Reson. Med. 2000; 43: 820-827.
38. Chien D, Levin DL, Anderson CM. MR gradient echo imaging of intravascular blood oxygenation: T2*determination in the presence of flow. Magn. Reson. Med. 1994; 32: 540-545.
39. 2*estimation. Magn. Reson. Med. 1998; 39: 685-690.
40. Wright GA, Hu BS, Macovski A. Estimating oxygen saturation of blood in vivo with MR imaging at 1.5T. J. Magn. Reson. Imaging, 1991; 1: 275-283.
41. van Osch MJP, Bakker MA, Viergever MA. In-vitro determination of MR properties of gadolinium in flowing blood for arterial input function measurements. Proceedings of the 8th Annual Meeting ISMRM, Denver, CO 2000; 742.
42. van Osch MJ, Vonken EJ, Bakker CJ, Viergever MA. Correcting partial volume artifacts of the arterial input function in quantitative cerebral perfusion MRI. Magn. Reson. Med. 2001; 45: 477-485.
43. Weisskoff RM, Zuo CS, Boxerman JL, Rosen BR. Microscopic susceptibility variation and transverse relaxation: theory and experiment. Magn. Reson. Med. 1994; 31: 601-610.
44. Boxerman JL, Hamberg LM, Rosen BR, Weisskoff RM. MR contrast due to intravascular magnetic susceptibility perturbations. Magn. Reson. Med. 1995; 34: 555-566.
45. Wade OL, Bishop JM. Cardiac Output and Regional Blood Flow. FA Davis: Philadelphia, PA, 1962; 86-95.
46. Fluckiger JU, Schabel MC, Dibella EV. Model-based blind estimation of kinetic parameters in dynamic contrast enhanced (DCE)-MRI. Magn. Reson. Med. 2009; 62: 1477-1486.
47. Lorenz C, Benner T, Chen PJ, Lopez CJ, Ay H, Zhu MW, Menezes NM, Aronen H, Karonen J, Liu Y, Nuutinen J, Sorensen AG. Automated perfusion-weighted MRI using localized arterial input functions. J. Magn. Reson. Imaging, 2006; 24: 1133-1139.
48. Nakagawa H, Groothuis DR, Owens ES, Patlak CS, Pettigrew KD, Glasberg RR. Dexamethasone effects on vascular volume and tissue haematocrit in experimental RG-2 gliomas and adjacent brain. J. Neurooncol. 1988; 6: 157-168.
49. Chung F, Liu J, Ching LM, Baguley BC. Consequences of increased vascular permeability induced by treatment of mice with 5, 6-dimethylxanthenone-4-acetic acid (DMXAA) and thalidomide. Cancer Chemother. Pharmacol. 2008; 61: 497-502.
50. Zaharchuk G, Bammer R, Straka M, Newbould RD, Rosenberg J, Olivot JM, Mlynash M, Lansberg MG, Schwartz NE, Marks MM, Albers GW, Moseley ME. Improving dynamic susceptibility contrast MRI measurement of quantitative cerebral blood flow using corrections for partial volume and nonlinear contrast relaxivity: a xenon computed tomographic comparative study. J. Magn. Reson. Imaging, 2009; 30: 743-752.
51. Cheng HL. T1 measurement of flowing blood and arterial input function determination for quantitative 3D T1-weighted DCE-MRI. J. Magn. Reson. Imaging, 2007; 25: 1073-1078.
52. Zheng J, Venkatesan R, Haacke EM, Cavagna FM, Finn PJ, Li D. Accuracy of T1 measurements at high temporal resolution: feasibility of dynamic measurement of blood T1 after contrast administration. J. Magn. Reson. Imaging, 1999; 10: 576-581.
53. Fritz-Hansen T, Rostrup E, Larsson HBW, Sǿndergaard L, Ring P, Henriksen O. Measurement of the arterial concentration of Gd-DTPA using MRI: a step toward quantitative perfusion imaging. Magn. Reson. Med. 1996; 36: 225-231.
54. Rusinek H, Lee VS, Johnson G. Optimal dose of Gd-DTPA in dynamic MR studies. Magn. Reson. Med. 2001; 46: 312-316.
55. Schabel MC, Parker DL. Uncertainty and bias in contrast concentration measurements using spoiled gradient echo pulse sequences. Phys. Med. Biol. 2008; 53: 2345-2373.
56. Fritz-Hansen T, Rostrup E, Ring PB, Larsson HB. Quantification of gadolinium-DTPA concentrations for different inversion times using an IR-turbo flash pulse sequence: a study on optimizing multislice perfusion imaging. Magn. Reson. Imaging, 1998; 16: 893-899.
57. Parker GJM, Barker GJ, Tofts PS. Accurate multislice gradient echo T1 measurement in the presence of non-ideal RF pulse shape and RF field nonuniformity. Magn. Reson. Med. 2001; 45: 838-845.
58. Schabel MC, Morrell GR. Uncertainty in T(1) mapping using the variable flip angle method with two flip angles. Phys. Med. Biol. 2009; 54: N1-N8.
59. Buckley DL, Roberts C, Parker GJ, Logue JP, Hutchinson CE. Prostate cancer: evaluation of vascular characteristics with dynamic contrast-enhanced T1-weighted MR imaging - initial experience. Radiology, 2004; 233: 709-715.
60. Port RE, Knopp MV, Brix G. Dynamic contrast-enhanced MRI using Gd-DTPA: interindividual variability of the arterial input function and consequences for the assessment of kinetics in tumors. Magn. Reson. Med. 2001; 45: 1030-1038.
61. Taylor NJ, Turnariu N, Ah-See MLW, Stirling JJ, Beresford MJ, D'Arcy JA, Collins DJ, Padhani A. Effects of arterial input functions on dynamic MRI kinetic parameter estimates: analysis of parameter variability and model fitting in breast cancer patients. Proceedings of the 15th Annual Meeting ISMRM, Berlin, 2007; 2819.
62. Kelloff GJ, Choyke P, Coffey DS. Prostate Cancer Imaging Working Group. Challenges in clinical prostate cancer: role of imaging. Am. J. Roentgenol. 2009; 192: 1455-1470.
63. Workie DW, Dardzinski BJ. Quantifying dynamic contrast-enhanced MRI of the knee in children with juvenile rheumatoid arthritis using an arterial input function (AIF) extracted from popliteal artery enhancement and the effect of the choice of the AIF on the kinetic parameters. Magn. Reson. Med. 2005; 54: 560-568.
64. Daniel BL, Yen YF, Glover GH, Ikeda DM, Birdwell RL, Sawyer-Glover AM, Black JW, Plevritis SK, Jeffrey SS, Herfkens RJ. Breast disease: dynamic spiral MR imaging. Radiology, 1998; 209: 499-509.
65. Kvistad KA, Rydland J, Vainio J, Smethurst HB, Lundgren S, Fjøsne HE, Haraldseth O. Breast lesions: evaluation with dynamic contrast-enhanced T1-weighted MR imaging and with T2*-weighted first-pass perfusion MR imaging. Radiology, 2000; 216: 545-553.
66. Zelhof B, Lowry M, Rodrigues G, Kraus S, Turnbull L. Description of magnetic resonance imaging-derived enhancement variables in pathologically confirmed prostate cancer and normal peripheral zone regions. BJU Int. 2009; 104: 621-627.
67. Padhani AR, Hayes C, Landau S, Leach MO. Reproducibility of quantitative dynamic MRI of normal human tissues. NMR Biomed. 2002; 15: 143-153.
68. Padhani AR, MacVicar AD, Gapinski CJ, Dearnaley DP, Parker GJ, Suckling J, Leach MO, Husband JE. Effects of androgen deprivation on prostatic morphology and vascular permeability evaluated with MR imaging. Radiology, 2001; 218: 365-374.