Reproducibility of the aortic input function (AIF) derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the kidneys in a volunteer study

European Journal of Radiology

Volumn 71, Issue 3, 2009, Pages 576-581

  Mendichovszky, I A ^a   Cutajar, M ^a   Gordon, I ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Aortic input function analysis; Gadolinium; Inter observer agreement; Renal dynamic contrast enhanced magnetic resonance imaging (DCE MRI); Reproducibility study

Indexed keywords

ABDOMINAL AORTA; AORTIC INPUT FUNCTION ANALYSIS; AREA UNDER THE CURVES; BODY WEIGHT; CONTRAST AGENT; CORRELATION COEFFICIENT; DATA ANALYSIS; DATA SETS; DATA VOLUME; DCE-MRI; DIFFERENT HEIGHTS; DYNAMIC CONTRAST; DYNAMIC CONTRAST-ENHANCED MAGNETIC RESONANCE IMAGING; DYNAMIC STUDIES; FLIP ANGLE; GOOD CORRELATIONS; IN-PLANE; INJECTION RATES; INPUT FUNCTIONS; INTER-OBSERVER AGREEMENT; MATRIX; MEAN AGES; MEASURED PARAMETERS; MR-COMPATIBLE; P-VALUES; PEAK VALUES; REGIONS OF INTEREST; RENAL ARTERIES; RENAL DYNAMIC CONTRAST-ENHANCED MAGNETIC RESONANCE IMAGING (DCE-MRI); REPRODUCIBILITIES; REPRODUCIBILITY STUDY; SIEMENS; SIGNAL INTENSITIES; T-TESTS; TEMPORAL DYNAMICS;

CORRELATION METHODS; FULL WIDTH AT HALF MAXIMUM; GADOLINIUM; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; THREE DIMENSIONAL;

BLOOD VESSELS;

CONTRAST MEDIUM; GADOLINIUM PENTETATE; SODIUM CHLORIDE;

ABDOMINAL AORTA; ADULT; AORTIC INPUT FUNCTION; AREA UNDER THE CURVE; ARTICLE; BODY WEIGHT; CLINICAL EVALUATION; CONTRAST ENHANCEMENT; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; KIDNEY; MALE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PARAMETER; POSITION; PRIORITY JOURNAL; PULSE RATE; RENAL ARTERY; REPRODUCIBILITY;

ADULT; ALGORITHMS; AORTA, ABDOMINAL; COMPUTER SIMULATION; CONTRAST MEDIA; FEMALE; GADOLINIUM DTPA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; KIDNEY; MAGNETIC RESONANCE IMAGING; MALE; MODELS, BIOLOGICAL; PERFUSION IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 69849099312     PISSN: 0720048X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejrad.2008.09.025     Document Type: Article

References (26)

1. Peters A.M., Brown J., Hartnell G.G., Myers M.J., Haskell C., and Lavender J.P. Non-invasive measurement of renal blood flow with 99mTc DTPA: comparison with radiolabelled microspheres. Cardiovasc Res 21 (1987) 830-834
2. Prigent A., Cosgriff P., Gates G.F., et al. Consensus report on quality control of quantitative measurement of renal function obtained from the renogram: International Consensus Committee from the Scientific Committee of Radionuclides in Nephrourology. Semin Nucl Med 24 (1999) 146-159
3. Parker G.J., Roberts C., Macdonald A., et al. Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI. Magn Reson Med 56 (2006) 993-1000
4. Tsushima Y., Niemi P., Komu M., et al. Dynamic Gd-DTPA-enhanced MR imaging of the kidney: comparison between T1- and T2-weighted sequences. Am J Nephrol 16 (1996) 506-512
5. Yamada S., Kubota R., Yamada K., et al. T1 and T2 relaxation times on gadolinium-diethylenetriaminepentaacetic acid enhanced magnetic resonance images of brain tumours. Tohoku J Exp Med 160 (1990) 145-148
6. de Senneville B.D., Mendichovszky I., Roujol S., Gordon I., Moonen C., and Grenier N. Improvement of MRI-Functional measurement with automatic movement correction in native and transplanted kidneys. J Magn Reson Imaging 28 (2008) 970-978
7. Sun Y., Jolly M.P., and Moura J.M.F. Integrated registration of dynamic renal perfusion MR images (2004), IEEE, ICIP, Singapore
8. Michoux N., Vallee J.P., Pechere-Bertschi A., et al. Analysis of contrast-enhanced MR images to assess renal function. MAGMA 19 (2006) 167-179
9. Grenier N., Mendichovszky I., de Senneville B.D., et al. Measurement of glomerular filtration rate with magnetic resonance imaging: principles, limitations, and expectations. Semin Nucl Med 38 (2008) 47-55
10. Mendichovszky I., Pedersen M., Frokiaer J., et al. How accurate is dynamic contrast-enhanced MRI in the assessment of renal glomerular filtration rate? A critical appraisal. J Magn Reson Imaging 27 (2008) 925-931
11. Patlak C.S., Blasberg R.G., and Fenstermacher J.D. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J Cereb Blood Flow Metab 3 (1983) 1-7
12. Hackstein N., Heckrodt J., and Rau W.S. Measurement of single-kidney glomerular filtration rate using a contrast-enhanced dynamic gradient-echo sequence and the Rutland-Patlak plot technique. J Magn Reson Imaging 18 (2003) 714-725
13. Hackstein N., Kooijman H., Tomaselli S., and Rau W.S. Glomerular filtration rate measured using the Patlak plot technique and contrast-enhanced dynamic MRI with different amounts of gadolinium-DTPA. J Magn Reson Imaging 22 (2005) 406-414
14. Annet L., Hermoye L., Peeters F., et al. Glomerular filtration rate: assessment with dynamic contrast-enhanced MRI and a cortical-compartment model in the rabbit kidney. J Magn Reson Imaging 20 (2004) 843-849
15. Buckley D.L., Shurrab A.E., Cheung C.M., et al. Measurement of single kidney function using dynamic contrast-enhanced MRI: comparison of two models in human subjects. J Magn Reson Imaging 24 (2006) 1117-1123
16. Lee V.S., Rusinek H., Bokacheva L., et al. Renal function measurements from MR renography and a simplified multicompartmental model. Am J Physiol Renal Physiol 292 (2007) F1548-F1559
17. Sourbron S.P., Michaely H.J., Reiser M.F., and Schoenberg S.O. MRI-measurement of perfusion and glomerular filtration in the human kidney with a separable compartment model. Invest Radiol 43 (2008) 40-48
18. Hermoye L., Annet L., Lemmerling P., et al. Calculation of the renal perfusion and glomerular filtration rate from the renal impulse response obtained with MRI. Magn Reson Med 51 (2004) 1017-1025
19. Sourbron S., Luypaert R., Van Schuerbeek P., et al. Deconvolution of dynamic contrast-enhanced MRI data by linear inversion: choice of the regularization parameter. Magn Reson Med 52 (2004) 209-213
20. Sourbron S., Dujardin M., Makkat S., and Luypaert R. Pixel-by-pixel deconvolution of bolus-tracking data: optimization and implementation. Phys Med Biol 52 (2007) 429-447
21. Sourbron S., Luypaert R., Morhard D., et al. Deconvolution of bolus-tracking data: a comparison of discretization methods. Phys Med Biol 52 (2007) 6761-6778
22. Attenberger U.I., Sourbron S.P., Notohamiprodjo M., et al. MR-based semi-automated quantification of renal functional parameters with a two-compartment model-an interobserver analysis. Eur J Radiol 65 (2008) 59-65
23. Rodriguez Gutierrez D, Diaz Montesdeoca O, Wells K, Mendichovszky I, Gordon I. Partial volume correction for magnetic resonance renography studies. British Chapter of the ISMRM, 12th Annual Meeting, August 2006, University of Surrey, UK.
24. Jorgensen B., Keller A.K., Radvanska E., et al. Reproducibility of contrast enhanced magnetic resonance renography in adolescents. J Urol 176 (2006) 1171-1176
25. Heiberg E., Engblom H., Engvall J., et al. Semi-automatic quantification of myocardial infarction from delayed contrast enhanced magnetic resonance imaging. Scand Cardiovasc J 39 (2005) 267-275
26. Gehan E.A., and George S.L. Estimation of human body surface area from height and weight. Cancer Chemother Rep 54 (1970) 225-235