OBJECTIVES: To compare DCE-MRI parameters and the relative number of time-intensity curve (TIC) shapes as derived from pixel-by-pixel DCE-MRI TIC shape analysis between knees of clinically active and inactive juvenile idiopathic arthritis (JIA) patients. METHODS: DCE-MRI data sets were prospectively obtained. Patients were classified into two clinical groups: active disease (n = 43) and inactive disease (n = 34). Parametric maps, showing seven different TIC shape types, were created per slice. Statistical measures of different TIC shapes, maximal enhancement (ME), maximal initial slope (MIS), initial area under the curve (iAUC), time-to-peak (TTP), enhancing volume (EV), volume transfer constant (K(trans)), extravascular space fractional volume (V(e)) and reverse volume transfer constant (k(ep)) of each voxel were calculated in a three-dimensional volume-of-interest of the synovial membrane. RESULTS: Imaging findings from 77 JIA patients were analysed. Significantly higher numbers of TIC shape 4 (P = 0.008), median ME (P = 0.015), MIS (P = 0.001) and iAUC (P = 0.002) were observed in clinically active compared with inactive patients. TIC shape 5 showed higher presence in the clinically inactive patients (P = 0.036). CONCLUSIONS: The pixel-by-pixel DCE-MRI TIC shape analysis method proved capable of differentiating clinically active from inactive JIA patients by the difference in the number of TIC shapes, as well as the descriptive parameters ME, MIS and iAUC. KEY POINTS: • The pixel-by-pixel TIC shape method differentiates clinically active and inactive JIA patients • Significantly higher numbers of TIC shape 4 were observed in clinically active patients • DCE-MRI parameters ME, MIS and iAUC differ between active and inactive patients • The pixel-by-pixel analysis method allows direct visualization of the heterogeneously distributed disease • The DCE-MRI TIC shape method may serve as a quantitative outcome measure.
OBJECTIVES: To compare DCE-MRI parameters and the relative number of time-intensity curve (TIC) shapes as derived from pixel-by-pixel DCE-MRI TIC shape analysis between knees of clinically active and inactive juvenile idiopathic arthritis (JIA) patients. METHODS:DCE-MRI data sets were prospectively obtained. Patients were classified into two clinical groups: active disease (n = 43) and inactive disease (n = 34). Parametric maps, showing seven different TIC shape types, were created per slice. Statistical measures of different TIC shapes, maximal enhancement (ME), maximal initial slope (MIS), initial area under the curve (iAUC), time-to-peak (TTP), enhancing volume (EV), volume transfer constant (K(trans)), extravascular space fractional volume (V(e)) and reverse volume transfer constant (k(ep)) of each voxel were calculated in a three-dimensional volume-of-interest of the synovial membrane. RESULTS: Imaging findings from 77 JIA patients were analysed. Significantly higher numbers of TIC shape 4 (P = 0.008), median ME (P = 0.015), MIS (P = 0.001) and iAUC (P = 0.002) were observed in clinically active compared with inactive patients. TIC shape 5 showed higher presence in the clinically inactive patients (P = 0.036). CONCLUSIONS: The pixel-by-pixel DCE-MRI TIC shape analysis method proved capable of differentiating clinically active from inactive JIA patients by the difference in the number of TIC shapes, as well as the descriptive parameters ME, MIS and iAUC. KEY POINTS: • The pixel-by-pixel TIC shape method differentiates clinically active and inactive JIA patients • Significantly higher numbers of TIC shape 4 were observed in clinically active patients • DCE-MRI parameters ME, MIS and iAUC differ between active and inactive patients • The pixel-by-pixel analysis method allows direct visualization of the heterogeneously distributed disease • The DCE-MRI TIC shape method may serve as a quantitative outcome measure.
Authors: M B Axelsen; M Stoltenberg; R P Poggenborg; O Kubassova; M Boesen; H Bliddal; K Hørslev-Petersen; L G Hanson; M Østergaard Journal: Scand J Rheumatol Date: 2012-01-30 Impact factor: 3.641
Authors: Clara Malattia; Maria B Damasio; Curzio Basso; Alessandro Verri; Francesca Magnaguagno; Stefania Viola; Marco Gattorno; Angelo Ravelli; Paolo Tomà; Alberto Martini Journal: Rheumatology (Oxford) Date: 2010-01 Impact factor: 7.580
Authors: N Wulffraat; J J van der Net; N Ruperto; S Kamphuis; B J Prakken; R Ten Cate; R M Van Soesbergen; M A Van Rossum; H Raat; J M Landgraf; W Kuis Journal: Clin Exp Rheumatol Date: 2001 Jul-Aug Impact factor: 4.473
Authors: Robert Hemke; Taco W Kuijpers; J Merlijn van den Berg; Mira van Veenendaal; Koert M Dolman; Marion A J van Rossum; Mario Maas Journal: Eur Radiol Date: 2013-02-01 Impact factor: 5.315
Authors: H M Albers; J A M Wessels; R J H M van der Straaten; D M C Brinkman; L W A Suijlekom-Smit; S S M Kamphuis; H J Girschick; C Wouters; M W Schilham; S le Cessie; T W J Huizinga; R Ten Cate; H J Guchelaar Journal: Arthritis Rheum Date: 2009-01-15
Authors: P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff Journal: J Magn Reson Imaging Date: 1999-09 Impact factor: 4.813
Authors: Anouk M Barendregt; E Charlotte van Gulik; Cristina Lavini; Charlotte M Nusman; J Merlijn van den Berg; Dieneke Schonenberg-Meinema; Koert M Dolman; Taco W Kuijpers; Robert Hemke; Mario Maas Journal: Eur Radiol Date: 2017-06-12 Impact factor: 5.315
Authors: Charlotte M Nusman; Cristina Lavini; Robert Hemke; Matthan W A Caan; Dieneke Schonenberg-Meinema; Koert M Dolman; Marion A J van Rossum; J Merlijn van den Berg; Taco W Kuijpers; Mario Maas Journal: Pediatr Radiol Date: 2016-12-12
Authors: Robert Hemke; Nikolay Tzaribachev; Anouk M Barendregt; J Merlijn van den Berg; Andrea S Doria; Mario Maas Journal: Pediatr Radiol Date: 2018-05-08
Authors: Robert Hemke; Nele Herregods; Jacob L Jaremko; Gunnar Åström; Derk Avenarius; Fabio Becce; Dennis K Bielecki; Mikael Boesen; Danoob Dalili; Chiara Giraudo; Kay-Geert Hermann; Paul Humphries; Amanda Isaac; Anne Grethe Jurik; Andrea S Klauser; Ola Kvist; Frederiek Laloo; Mario Maas; Adam Mester; Edwin Oei; Amaka C Offiah; Patrick Omoumi; Olympia Papakonstantinou; Athena Plagou; Susan Shelmerdine; Paolo Simoni; Iwona Sudoł-Szopińska; Laura Tanturri de Horatio; James Teh; Lennart Jans; Karen Rosendahl Journal: Eur Radiol Date: 2020-05-12 Impact factor: 5.315