Contrast-enhanced dynamic and static MRI correlates with quantitative 99Tcm-labelled nanocolloid scintigraphy. Study of early rheumatoid arthritis patients

Palosaari, Kari; Vuotila, Jorma; Takalo, Reijo; Jartti, Airi; Niemelä, Raija K.; Haapea, Marianne; Soini, Irma; Tervonen, Osmo; Hakala, M

doi:10.1093/rheumatology/keh302

Cited by 45 publications

(19 citation statements)

References 31 publications

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“…This synovial heterogeneity consisted of zones with initial fast enhancing TIC shape types (types 3-5) that were seen in the lateral and medial compartments and the intercondylar region. Heterogeneity of enhancement within synovial tissue of patients with RA by using dynamic contrast-enhanced MR imaging has been described in previous studies, and locations described were consistent with our results (6,7,16,19,20). These results were consistent with previous observations that showed heterogeneity on the cellular and molecular level (21,22).…”

Section: Discussionsupporting

confidence: 93%

Rheumatoid Synovial Inflammation: Pixel-by-Pixel Dynamic Contrast-enhanced MR Imaging Time-Intensity Curve Shape Analysis—A Feasibility Study

Leij¹,

Sande²,

Lavini³

et al. 2009

Radiology

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Section: Discussionsupporting

confidence: 93%

Rheumatoid Synovial Inflammation: Pixel-by-Pixel Dynamic Contrast-enhanced MR Imaging Time-Intensity Curve Shape Analysis—A Feasibility Study

Leij¹,

Sande²,

Lavini³

et al. 2009

Radiology

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“…Equation [6] requires the concentration of contrast agent in the blood plasma, C p (the AIF), to be provided. As with previous applications of this method, we assume an AIF derived from the normal washout characteristics measured in a normal population (5,18).…”

Section: Methodsmentioning

confidence: 99%

“…We choose to extend Eq. [6] to include the concentration of contrast agent in the blood plasma, giving C t ϭ v p C p ϩ v e C e . We then have…”

Section: Methodsmentioning

confidence: 99%

Comparative study into the robustness of compartmental modeling and model‐free analysis in DCE‐MRI studies

Roberts

Issa

Stone

et al. 2006

Magnetic Resonance Imaging

147

111

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Purpose: To evaluate and compare the reproducibility of the preferred phenomenological parameter IAUC 60 (initial area under the time-concentration curve [IAUC] defined over the first 60 seconds postenhancement) with the preferred modeling parameter (K trans ), as derived using two simple models, in abdominal and cerebral data collected in typical Phase I clinical trial conditions. Materials and Methods:Dynamic contrast enhanced MRI (DCE-MRI) time series were acquired at two imaging centers from a group of patients with abdominal tumors and a group with gliomas. At both imaging centers, precontrast T 1 was calculated using a variable flip angle three-dimensional spoiled gradient echo acquisition that was used to quantify tissue contrast agent concentration, allowing voxelwise definition of summary DCE-MRI parameters.Results: A comparison of reproducibility showed that there was no statistically significant difference in reproducibility between IAUC 60 and K trans , although there was a trend towards better reproducibility for K trans (P ϭ 0.0782). The 95% confidence intervals (CIs) for individual changes showed that for IAUC 60 and K trans , changes in excess of 47% and 31%, respectively, are outside the range of normal variability. Conclusion:Although modeling is more complex and more computationally intensive than an IAUC parameterization, our data suggest this approach to be preferable to a modelfree approach since it provides greater physiological insight without a reduction in statistical power for Phase I/II clinical drug trials.

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“…To perform DCE-MRI of the hand and wrist, improved temporal and spatial resolution is necessary due to the fast enhancement of the synovium and the relatively small anatomical structures. Therefore, rapid 3D sequences with high spatial resolution should be chosen [20,21]. A correlation between the results of DCE-MR and clinical findings such as joint swelling, pain and disease activity scores has been reported [22][23][24].…”

Section: Discussionmentioning

confidence: 99%

Synovitis maps for the assessment of inflammatory diseases of the hand

et al. 2011

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Objectives To compare accuracy and review times of FLASH-MRI-derived synovitis maps (SM) with conventional MR images (cMRI) in the assessment of articular synovitis and tenosynovitis of the hand. Methods 80 hands in 40 patients (mean age, 48 years; range, 15-72 years) were assessed for synovitis on cMRI and SM by two readers independently. Reporting times and diagnostic confidence (scale: 1=least, 5=most confident) were measured. Results from an assessment of a panel of senior musculoskeletal radiologists served as the standard of reference. Results Sensitivity and specificity for the detection of articular synovitis were 0.91/1.00 (R1) and 1.00/0.67 (R2) on cMRI and 0.87/0.75 (R1) and 0.91/0.45 (R2) on SM and for the detection of tenosynovitis 0.95/0.63 (R1) and 0.67/ 0.79 (R2) on cMRI and 0.67/0.89 (R1) and 0.38/1.00 (R2) on SM. Mean review times (cMRI/SM, sec) were 142/37 (R1) and 167/25 (R2). Mean diagnostic confidence (cMRI/SM) was 3.7/3.4 (R1) and 3.2/3.5 (R2) for articular synovitis and 4.0/4.0 (R1), 3.3/3.7 (R2) for tenosynovitis. Conclusion Synovitis maps provide a comparable diagnostic accuracy to conventional MR images in the assessment of articular synovitis and tenosynovitis of the hand. Because of short review times, synovitis maps provide a fast overview of locations with synovial enhancement.

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Contrast-enhanced dynamic and static MRI correlates with quantitative 99Tcm-labelled nanocolloid scintigraphy. Study of early rheumatoid arthritis patients

Cited by 45 publications

References 31 publications

Rheumatoid Synovial Inflammation: Pixel-by-Pixel Dynamic Contrast-enhanced MR Imaging Time-Intensity Curve Shape Analysis—A Feasibility Study

Rheumatoid Synovial Inflammation: Pixel-by-Pixel Dynamic Contrast-enhanced MR Imaging Time-Intensity Curve Shape Analysis—A Feasibility Study

Comparative study into the robustness of compartmental modeling and model‐free analysis in DCE‐MRI studies

Synovitis maps for the assessment of inflammatory diseases of the hand

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