ABSTRACT
Recent advances in the development of disease-modifying antirheumatic drugs (DMARDs) bring hope for a treatment that will provide inhibition of the structural damage associated with the disease. DMARD development presents great challenges for the validation of structural surrogate markers to evaluate the performance of these new therapies in clinical trials, where they will likely be compared with active controls. These challenges are being addressed in part by the medical imaging community by developing quantitative measures of RA disease progression for evaluation of new treatments during clinical trials. Recently, a novel multispectral (MS) MRI analysis method was presented to quantify temporal changes in bone lesions observed in the hands of RA patients. This technique employs image registration and MS analysis to identify MS tissue class transitions between serial MRI exams. This review will examine the use of MS class transition analysis as a means to quantify changes in bone lesions in the hands and wrists of patients with RA.
KEYWORDS
Rheumatoid arthritis - magnetic resonance imaging - multispectral analysis - image registration - bone erosion
REFERENCES
1 U.S. Department of Health and Human Services FDA .Guidance for Industry. Clinical Development Programs for Drugs, Devices, and Biological Products Intended for the Treatment of Rheumatoid Arthritis (RA). Rockville, MD; FDA 1999
2
Foley-Nolan D, Stack J P, Ryan M et al..
Magnetic resonance imaging in the assessment of rheumatoid arthritis-a comparison with plain film radiographs.
Br J Rheumatol.
1991;
30
101-106
3
Ostergaard M, Gideon P, Sorensen K et al..
Scoring of synovial membrane hypertrophy and bone erosions by MR imaging in clinically active and inactive rheumatoid arthritis of the wrist.
Scand J Rheumatol.
1995;
24
212-218
4
McQueen F M, Stewart N, Crabbe J et al..
Magnetic resonance imaging of the wrist in early rheumatoid arthritis reveals a high prevalence of erosions at four months after symptom onset.
Ann Rheum Dis.
1998;
57
350-356
5 Peterfy C G, Dion E, Miaux Y et al.. Comparison of MRI and radiography for monitoring erosive change in rheumatoid arthritis.
Book of Abstracts: Sixth Annual Meeting of the International Society of Magnetic Resonance in Medicine
Berkeley, CA; ISMRM 1998 458
6
Carano R A, Lynch J A, Redei J et al..
Multispectral analysis of bone lesions in the hands of patients with rheumatoid arthritis.
Magn Reson Imaging.
2004;
22
505-514
7
Peterfy C G.
Magnetic resonance imaging of the wrist in rheumatoid arthritis.
Semin Musculoskelet Radiol.
2001;
5
275-288
8
Lee J, Lee S K, Suh J S, Yoon M, Song J H, Lee C H.
Magnetic resonance imaging of the wrist in defining remission of rheumatoid arthritis.
J Rheumatol.
1997;
24
1303-1308
9
Kalden-Nemeth D, Grebmeier J, Antoni C, Manger B, Wolf F, Kalden J R.
NMR monitoring of rheumatoid arthritis patients receiving anti-TNF-alpha monoclonal antibody therapy.
Rheumatol Int.
1997;
16
249-255
10
Reece R J, Kraan M C, Radjenovic A et al..
Comparative assessment of leflunomide and methotrexate for the treatment of rheumatoid arthritis, by dynamic enhanced magnetic resonance imaging.
Arthritis Rheum.
2002;
46
366-372
11
McQueen F M, Stewart N, Crabbe J et al..
Magnetic resonance imaging of the wrist in early rheumatoid arthritis reveals progression of erosions despite clinical improvement.
Ann Rheum Dis.
1999;
58
156-163
12
McGonagle D, Conaghan P G, O'Connor P et al..
The relationship between synovitis and bone changes in early untreated rheumatoid arthritis: a controlled magnetic resonance imaging study.
Arthritis Rheum.
1999;
42
1706-1711
13
Lassere M, McQueen F, Ostergaard M et al..
OMERACT Rheumatoid Arthritis Magnetic Resonance Imaging Studies. Exercise 3: an international multicenter reliability study using the RA-MRI Score.
J Rheumatol.
2003;
30
1366-1375
14
McQueen F M, Benton N, Crabbe J et al..
What is the fate of erosions in early rheumatoid arthritis? Tracking individual lesions using x rays and magnetic resonance imaging over the first two years of disease.
Ann Rheum Dis.
2001;
60
859-868
15
Ostergaard M, Hansen M, Stoltenberg M et al..
New radiographic bone erosions in the wrists of patients with rheumatoid arthritis are detectable with magnetic resonance imaging a median of two years earlier.
Arthritis Rheum.
2003;
48
2128-2131
16
Jalava S, Reunanen K.
Healing of erosions in rheumatoid arthritis.
Scand J Rheumatol.
1982;
11
97-100
17
Sharp J T, Van Der Heijde D, Boers M et al..
Repair of erosions in rheumatoid arthritis does occur. Results from 2 studies by the OMERACT Subcommittee on Healing of Erosions.
J Rheumatol.
2003;
30
1102-1107
18
Lassere M N, Bird P.
Measurements of rheumatoid arthritis disease activity and damage using magnetic resonance imaging. Truth and discrimination: does MRI make the grade?.
J Rheumatol.
2001;
28
1151-1157
19
Conaghan P, Edmonds J, Emery P et al..
Magnetic resonance imaging in rheumatoid arthritis: summary of OMERACT activities, current status, and plans.
J Rheumatol.
2001;
28
1158-1162
20
Peterfy C, Edmonds J, Lassere M et al..
OMERACT Rheumatoid Arthritis MRI Studies Module.
J Rheumatol.
2003;
30
1364-1365
21
Conaghan P, Lassere M, Ostergaard M et al..
OMERACT Rheumatoid Arthritis Magnetic Resonance Imaging Studies. Exercise 4: an international multicenter longitudinal study using the RA-MRI Score.
J Rheumatol.
2003;
30
1376-1379
22
Edmonds J, Lassere M.
Imaging damage: scoring versus measuring.
J Rheumatol.
2001;
28
1749-1751
23
Bird P, Lassere M, Shnier R, Edmonds J.
Computerized measurement of magnetic resonance imaging erosion volumes in patients with rheumatoid arthritis: a comparison with existing magnetic resonance imaging scoring systems and standard clinical outcome measures.
Arthritis Rheum.
2003;
48
614-624
24
Bird P, Ejbjerg B, McQueen F, Ostergaard M, Lassere M, Edmonds J.
OMERACT Rheumatoid Arthritis Magnetic Resonance Imaging Studies. Exercise 5: an international multicenter reliability study using computerized MRI erosion volume measurements.
J Rheumatol.
2003;
30
1380-1384
25
Ostrowitzki S, Redei J, Lynch J A et al..
Use of multispectral magnetic resonance imaging analysis to quantify erosive changes in the hands of patients with rheumatoid arthritis: short-term and long-term longitudinal studies.
Arthritis Rheum.
2004;
50
716-724
26
Freeborough P A, Fox N C.
The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI.
IEEE Trans Med Imaging.
1997;
16
623-629
27
Gerig G, Welti D, Guttmann C R, Colchester A C, Szekely G.
Exploring the discrimination power of the time domain for segmentation and characterization of active lesions in serial MR data.
Med Image Anal.
2000;
4
31-42
28 Duda R O, Hart P E.
Pattern Classification and Scene Analysis
. New York; John Wiley & Sons 1973
29
Bezdek J C, Hall L O, Clarke L P.
Review of MR image segmentation techniques using pattern recognition.
Med Phys.
1993;
20
1033-1048
30
Vannier M W, Butterfield R L, Jordan D, Murphy W A, Levitt R G, Gado M.
Multispectral analysis of magnetic resonance images.
Radiology.
1985;
154
221-224
31
Cline H E, Lorensen W E, Kikinis R, Jolesz F.
Three-dimensional segmentation of MR images of the head using probability and connectivity.
J Comput Assist Tomogr.
1990;
14
1037-1045
32
Brandt M E, Bohan T P, Kramer L A, Fletcher J M.
Estimation of CSF, white and gray matter volumes in hydrocephalic children using fuzzy clustering of MR images.
Comput Med Imaging Graph.
1994;
18
25-34
33
Taxt T, Lundervold A, Fuglaas B, Lien H, Abeler V.
Multispectral analysis of uterine corpus tumors in magnetic resonance imaging.
Magn Reson Med.
1992;
23
55-76
34
Taxt T, Lundervold A.
Multispectral analysis of the brain using magnetic resonance imaging.
IEEE Trans Med Imaging.
1994;
13
470-481
35
Carano R A, Takano K, Helmer K G et al..
Determination of focal ischemic lesion volume in the rat brain using multispectral analysis.
J Magn Reson Imaging.
1998;
8
1266-1278
36 Tou T, Gonzalez R C.
Pattern recognition principles
. Reading, MA; Addison-Wesley 1974
37
Brinkmann B H, Manduca A, Robb R A.
Optimized homomorphic unsharp masking for MR grayscale inhomogeneity correction.
IEEE Trans Med Imaging.
1998;
17
161-171
38
Studholme C, Hill D L, Hawkes D J.
Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures.
Med Phys.
1997;
24
25-35
39
McQueen F M.
Magnetic resonance imaging in early inflammatory arthritis: what is its role?.
Rheumatology (Oxford).
2000;
39
700-706
40 Jain A.
Fundamentals of digital image processing . 1st ed. Englewood Cliffs, NJ; Prentice-Hall 1989
41
Bjorkengren A G, Geborek P, Rydholm U, Holtas S, Petterson H.
MR imaging of the knee in acute rheumatoid arthritis: synovial uptake of gadolinium-DOTA.
AJR Am J Roentgenol.
1990;
155
329-332
42
Konig H, Sieper J, Wolf K J.
Rheumatoid arthritis: evaluation of hypervascular and fibrous pannus with dynamic MR imaging enhanced with Gd-DTPA.
Radiology.
1990;
176
473-477
43
Jevtic V, Watt I, Rozman B et al..
Precontrast and postcontrast (Gd-DTPA) magnetic resonance imaging of hand joints in patients with rheumatoid arthritis.
Clin Radiol.
1993;
48
176-181
Richard A.D CaranoPh.D.
MS-228, Genentech, Inc., 1 DNA Way
South San Francisco, CA 94080