Multimodality high resolution wrist imaging for monitoring response to therapy in rheumatoid arthritis: Instrumentation and techniques

Rheumatoid arthritis (RA) is a debilitating inflammatory disease which results in 9 million physician visits and 250,000 hospitalizations per year. New molecularly-targeted pharmaceuticals are available to treat this disease, but clinical examination and conventional imaging do not accurately distinguish long-term responders from non-responders to these expensive therapies. We hypothesize that longitudinal information gained from high resolution MRI, CT and PET imaging of wrists of RA patients receiving therapy will be synergistic and thus, in combination will lead to the development of new imaging metrics that will help clinicians match clinical response with active joint disease. These metrics could potentially be used to separate responders to therapy from non-responders at early time points in the course of the disease. To test this hypothesis, we aim to use a unique high resolution extremity PET/CT scanner built by UC Davis researchers and a knee coil in a 1.5T MRI whole-body scanner. A multimodality wrist restraint system (WRS) has been designed and fabricated, and is used to immobilize the wrist during and between scans. Phantom experiments have been carried out for the scanners in the presence of the WRS. No apparent image degradation due to the WRS was observed. Images from the three modalities have been rigidly registered using a fiducial marker-based approach. A repositioning study was carried out in healthy volunteers using the MRI scanner. Results from this study examining repositioning error in wrist bones look promising. Instrumentation development has been completed and proof-of-principle scans have been carried out. A clinical trial in 10 patients for monitoring response in RA has been approved by IRB and recruiting has begun in early November.

[1]  Franz Kainberger,et al.  Bone erosions and bone marrow edema as defined by magnetic resonance imaging reflect true bone marrow inflammation in rheumatoid arthritis. , 2007, Arthritis and rheumatism.

[2]  I. Buvat,et al.  Partial-Volume Effect in PET Tumor Imaging* , 2007, Journal of Nuclear Medicine.

[3]  R. Farrell,et al.  PSPMT/APD Hybrid DOI Detectors for the PET Component of a Dedicated Breast PET/CT System—A Feasibility Study , 2008, IEEE Transactions on Nuclear Science.

[4]  R. Buchbinder,et al.  A comparison of magnetic resonance imaging, sonography, and radiography of the hand in patients with early rheumatoid arthritis. , 2004, The Journal of rheumatology.

[5]  F. Wolfe,et al.  Minimal disease activity, remission, and the long-term outcomes of rheumatoid arthritis. , 2007, Arthritis and rheumatism.

[6]  W. Moses,et al.  Monte Carlo Simulation Study of Several Camera Designs for the PET Component of a Dedicated Breast PET/CT Scanner , 2006, 2006 IEEE Nuclear Science Symposium Conference Record.

[7]  John D. Isaacs,et al.  The value of sonography in the detection of bone erosions in patients with rheumatoid arthritis: a comparison with conventional radiography. , 2000, Arthritis and rheumatism.

[8]  Junaed Sattar Snakes , Shapes and Gradient Vector Flow , 2022 .

[9]  Lin Fu,et al.  Characteristics of the PET Component of a Dedicated Breast PET/CT Scanner Prototype , 2006, 2006 IEEE Nuclear Science Symposium Conference Record.

[10]  N. Olsen,et al.  Assessment of disease activity in rheumatoid arthritis. , 1989, Current opinion in rheumatology.

[11]  F. Wolfe,et al.  The longterm outcomes of rheumatoid arthritis: Work disability: a prospective 18 year study of 823 patients. , 1998, The Journal of rheumatology.

[12]  J J Anderson,et al.  The American college of rheumatology preliminary core set of disease activity measures for rheumatoid arthritis clinical trials , 1993 .

[13]  V. Treyer,et al.  F-18 FDG Whole-Body PET for the Assessment of Disease Activity in Patients With Rheumatoid Arthritis , 2006, Clinical nuclear medicine.

[14]  Colin Studholme,et al.  An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..

[15]  R. Leahy,et al.  High-resolution 3D Bayesian image reconstruction using the microPET small-animal scanner. , 1998, Physics in medicine and biology.

[16]  Alexander Fraser,et al.  Very early treatment with infliximab in addition to methotrexate in early, poor-prognosis rheumatoid arthritis reduces magnetic resonance imaging evidence of synovitis and damage, with sustained benefit after infliximab withdrawal: results from a twelve-month randomized, double-blind, placebo-contro , 2005, Arthritis and rheumatism.

[17]  G. Newsome Guidelines for the management of rheumatoid arthritis: 2002 update. , 2002, Journal of the American Academy of Nurse Practitioners.

[18]  A. Wunder,et al.  Molecular imaging: novel tools in visualizing rheumatoid arthritis. , 2005, Rheumatology.

[19]  M. Ostergaard,et al.  Established rheumatoid arthritis - new imaging modalities. , 2007, Best practice & research. Clinical rheumatology.

[20]  John M. Boone,et al.  Computed Tomography for Imaging the Breast , 2006, Journal of Mammary Gland Biology and Neoplasia.

[21]  Maarten Boers,et al.  Progression of radiologic damage in patients with rheumatoid arthritis in clinical remission. , 2004, Arthritis and rheumatism.

[22]  Marcin Szkudlarek,et al.  Are bone erosions detected by magnetic resonance imaging and ultrasonography true erosions? A comparison with computed tomography in rheumatoid arthritis metacarpophalangeal joints , 2006, Arthritis research & therapy.

[23]  Riitta Parkkola,et al.  Use of positron emission tomography with methyl-11C-choline and 2-18F-fluoro-2-deoxy-D-glucose in comparison with magnetic resonance imaging for the assessment of inflammatory proliferation of synovium. , 2003, Arthritis and rheumatism.

[24]  Richard M. Leahy,et al.  BrainSuite: An Automated Cortical Surface Identification Tool , 2000, MICCAI.

[25]  J. Smolen,et al.  Challenges of predicting treatment response in patients with rheumatoid arthritis , 2005, Nature Clinical Practice Rheumatology.

[26]  R. Yood,et al.  Guidelines for the management of rheumatoid arthritis: 2002 Update. , 2002, Arthritis and rheumatism.

[27]  M Ostergaard,et al.  Magnetic resonance imaging-determined synovial membrane and joint effusion volumes in rheumatoid arthritis and osteoarthritis: comparison with the macroscopic and microscopic appearance of the synovium. , 1997, Arthritis and rheumatism.

[28]  F. McQueen,et al.  Detection of erosions in the rheumatoid hand; a comparative study of multidetector computerized tomography versus magnetic resonance scanning. , 2005, The Journal of rheumatology.

[29]  R. Sokal,et al.  Principles of numerical taxonomy , 1965 .

[30]  D. Felson Choosing a core set of disease activity measures for rheumatoid arthritis clinical trials. , 1993, The Journal of rheumatology.

[31]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .