Pixel-by-pixel analysis of DCE-MRI curve shape patterns in knees of active and inactive juvenile idiopathic arthritis patients

European Radiology

Volumn 24, Issue 7, 2014, Pages 1686-1693

  Hemke, Robert ^a   Lavini, Cristina ^a   Nusman, Charlotte M ^a   Van Den Berg, J Merlijn ^a   Dolman, Koert M ^b,c   Schonenberg Meinema, Dieneke ^a   Van Rossum, Marion A J ^a,b   Kuijpers, Taco W ^a   Maas, Mario ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b Department of Pediatric Hematology Immunology Rheumatology and Infectious Disease Emma Children's Hospital AMC University of Amsterdam ^*  (Netherlands)

^c ONZE LIEVE VROUWE GASTHUIS   (Netherlands)

Author keywords

Dynamic contrast enhanced; Juvenile idiopathic arthritis; Knee joint; Magnetic resonance imaging; Outcome measure

Indexed keywords

METHOTREXATE; TUMOR NECROSIS FACTOR ALPHA INHIBITOR; CONTRAST MEDIUM;

ADOLESCENT; AREA UNDER THE CURVE; ARTICLE; CONTROLLED STUDY; DISEASE ACTIVITY; DISEASE DURATION; DYNAMIC CONTRAST ENHANCED MAGNETIC RESONANCE IMAGING; EXTRAVASCULAR SPACE; FEMALE; FOLLOW UP; HUMAN; JUVENILE RHEUMATOID ARTHRITIS; MAJOR CLINICAL STUDY; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROSPECTIVE STUDY; RANGE OF MOTION; WELLBEING; ARTHRITIS, JUVENILE; IMAGE PROCESSING; KNEE; OSTEOARTHRITIS, KNEE; PATHOLOGY; PROCEDURES; REPRODUCIBILITY;

ADOLESCENT; ARTHRITIS, JUVENILE; CONTRAST MEDIA; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; KNEE JOINT; MAGNETIC RESONANCE IMAGING; MALE; OSTEOARTHRITIS, KNEE; PROSPECTIVE STUDIES; REPRODUCIBILITY OF RESULTS;

EID: 84902382753     PISSN: 09387994     EISSN: 14321084     Source Type: Journal    
DOI: 10.1007/s00330-014-3168-z     Document Type: Article

References (35)

1. Magni-Manzoni S, Rossi F, Pistorio A et al (2003) Prognostic factors for radiographic progression, radiographic damage, and disability in juvenile idiopathic arthritis. Arthritis Rheum 48:3509-3517 (Pubitemid 37531917)
2. Oen K, Reed M, Malleson PN et al (2003) Radiologic outcome and its relationship to functional disability in juvenile rheumatoid arthritis. J Rheumatol 30:832-840 (Pubitemid 36402781)
3. Palmisani E, Solari N, Magni-Manzoni S et al (2006) Correlation between juvenile idiopathic arthritis activity and damage measures in early, advanced, and longstanding disease. Arthritis Rheum 55:843-849 (Pubitemid 44917455)
4. Haverman L, Grootenhuis MA, van den Berg JM et al (2012) Predictors of health-related quality of life in children and adolescents with juvenile idiopathic arthritis: results from a web-based survey. Arthritis Care Res 64:694-703
5. Albers HM, Wessels JA, van der Straaten RJ et al (2009) Time to treatment as an important factor for the response to methotrexate in juvenile idiopathic arthritis. Arthritis Rheum 61:46-51
6. Vilca I, Munitis PG, Pistorio A et al (2010) Predictors of poor response to methotrexate in polyarticular-course juvenile idiopathic arthritis: analysis of the PRINTO methotrexate trial. Ann Rheum Dis 69:1479-1483
7. Miller E, Uleryk E, Doria AS (2009) Evidence-based outcomes of studies addressing diagnostic accuracy of MRI of juvenile idiopathic arthritis. AJR Am J Roentgenol 192:1209-1218
8. Hemke R, Kuijpers TW, van den Berg JM et al (2013) The diagnostic accuracy of unenhanced MRI in the assessment of joint abnormalities in juvenile idiopathic arthritis. Eur Radiol 23:1998-2004
9. Malattia C, Damasio MB, Magnaguagno F et al (2008) Magnetic resonance imaging, ultrasonography, and conventional radiography in the assessment of bone erosions in juvenile idiopathic arthritis. Arthritis Rheum 59:1764-1772
10. Doria AS, Babyn PS, Feldman B (2006) A critical appraisal of radiographic scoring systems for assessment of juvenile idiopathic arthritis. Pediatr Radiol 36:759-772 (Pubitemid 44138272)
11. Cimmino MA, Innocenti S, Livrone F, Magnaguagno F, Silvestri E, Garlaschi G (2003) Dynamic gadolinium-enhanced magnetic resonance imaging of the wrist in patients with rheumatoid arthritis can discriminate active from inactive disease. Arthritis Rheum 48:1207-1213 (Pubitemid 36554519)
12. Axelsen M, Stoltenberg M, Poggenborg R et al (2012) Dynamic gadolinium-enhanced magnetic resonance imaging allows accurate assessment of the synovial inflammatory activity in rheumatoid arthritis knee joints: a comparison with synovial histology. Scand J Rheumatol 41:89-94
13. Østergaard M, Stoltenberg M, Lovgreen-Nielsen P, Volck B, Sonne-Holm S, Lorenzen I (1998) Quantification of synovistis by MRI: correlation between dynamic and static gadolinium-enhanced magnetic resonance imaging and microscopic and macroscopic signs of synovial inflammation. Magn Reson Imaging 16:743-754 (Pubitemid 28496571)
14. Workie DW, Graham TB, Laor T et al (2007) Quantitative MR characterization of disease activity in the knee in children with juvenile idiopathic arthritis: a longitudinal pilot study. Pediatr Radiol 37:535-543 (Pubitemid 46767443)
15. Workie DW, Dardzinski BJ (2005) 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 54:560-568 (Pubitemid 41233750)
16. van der Leij C, van de Sande MG, Lavini C, Tak PP, Maas M (2009) Rheumatoid synovial inflammation: pixel-by-pixel dynamic contrast-enhanced MR imaging time-intensity curve shape analysis - a feasibility study. Radiology 253:234-240
17. van de Sande MG, van der Leij C, Lavini C, Wijbrandts CA, Maas M, Tak PP (2012) Characteristics of synovial inflammation in early arthritis analysed by pixel-by-pixel time-intensity curve shape analysis. Rheumatology (Oxford) 51:1240-1245
18. Petty RE, Southwood TR, Manners P et al (2004) International League of Associations for Rheumatology classification of juvenile idiopathic arthritis: second revision, Edmonton, 2001. J Rheumatol 31:390-392 (Pubitemid 38160763)
19. Wallace CA, Giannini EH, Huang B, Itert L, Ruperto N (2011) American College of Rheumatology provisional criteria for defining clinical inactive disease in select categories of juvenile idiopathic arthritis. Arthritis Care Res 63:929-936
20. Singh G, Athreya BH, Fries JF, Goldsmith DP (1994) Measurement of health status in children with juvenile rheumatoid arthritis. Arthritis Rheum 37:1761-1769 (Pubitemid 24371878)
21. Wulffraat N, van der Net JJ, Ruperto N et al (2001) The Dutch version of the Childhood Health Assessment Questionnaire (CHAQ) and the Child Health Questionnaire (CHQ). Clin Exp Rheumatol 19:S111-S115 (Pubitemid 33730199)
22. Hemke R, van Veenendaal M, Kuijpers TW, van Rossum MA, Maas M (2012) Increasing feasibility and patient comfort of MRI in children with juvenile idiopathic arthritis. Pediatr Radiol 42:440-448
23. Lavini C, Maas M (2008) DCE-MRI analysis package comprising pixel-by-pixel classification of time intensity curves shapes, permeability maps and Gd concentration calculation. MAGMA 21-S1:486
24. Lavini C, de Jonge MC, van de Sande MG, Tak PP, Nederveen AJ, Maas M (2007) Pixel-by-pixel analysis of DCE MRI curve patterns and an illustration of its application to the imaging of the musculoskeletal system. Magn Reson Imaging 25:604-612 (Pubitemid 46817804)
25. Schabel MC, Parker DL (2008) Uncertainty and bias in contrast concentration measurements using spoiled gradient echo pulse sequences. Phys Med Biol 53:2345-2373 (Pubitemid 351570916)
26. Tofts PS, Brix G, Buckley DL et al (1999) Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 10:223-232 (Pubitemid 29463104)
27. Rooney WD, Johnson G, Li X et al (2007) Magnetic field and tissue dependencies of human brain longitudinal 1H2O relaxation in vivo. Magn Reson Med 57:308-318 (Pubitemid 46214534)
28. Orton MR, d'Arcy JA, Walker-Samuel S et al (2008) Computationally efficient vascular input function models for quantitative kinetic modelling using DCE-MRI. Phys Med Biol 53:1225-1239 (Pubitemid 351594423)
29. Malattia C, Damasio MB, Pistorio A et al (2010) Development and preliminary validation of a paediatric-targeted MRI scoring system for the assessment of disease activity and damage in juvenile idiopathic arthritis. Ann Rheum Dis 70:440-446
30. Hemke R, van Rossum MA, van Veenendaal M et al (2013) Reliability and responsiveness of the Juvenile Arthritis MRI Scoring (JAMRIS) system for the knee. Eur Radiol 23:1075-1083
31. Malattia C, Damasio MB, Basso C et al (2010) Dynamic contrast-enhanced magnetic resonance imaging in the assessment of disease activity in patients with juvenile idiopathic arthritis. Rheumatology (Oxford) 49:178-185
32. Tofts PS, Brix G, Buckley DL et al (1999) Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 10:223-232 (Pubitemid 29463104)
33. Verstraete KL, Lang P (2000) Bone and soft tissue tumors: the role of contrast agents for MR imaging. Eur J Radiol 34:229-246 (Pubitemid 30601696)
34. Hawighorst H, Libicher M, Knopp MV, Moehler T, Kauffmann GW, Kaick G (1999) Evaluation of angiogenesis and perfusion of bone marrow lesions: role of semiquantitative and quantitative dynamic MRI. J Magn Reson Imaging 10:286-294 (Pubitemid 29463111)
35. Hodgson RJ, O'Connor P, Moots R (2008) MRI of rheumatoid arthritis image quantitation for the assessment of disease activity, progression and response to therapy. Rheumatology (Oxford) 47:13-21 (Pubitemid 350301006)