Information Technology Reference
In-Depth Information
16. van der Heijde D, Machado P, Braun J et al (2012) MRI inflammation at the vertebral unit
only marginally predicts new syndesmophyte formation: a multilevel analysis in patients with
ankylosing spondylitis. Ann Rheum Dis 71:369
-
373
17. Lories RJ, Dougados M (2012) Inflammation and ankylosis: still an enigmatic relationship in
spondyloarthritis. Ann Rheum Dis 71:317
-
318
18. Maksymowych WP, Morency N, Conner-Spady B et al (2013) Suppression of in
ammation
and effects on new bone formation in ankylosing spondylitis: evidence for a window of
opportunity in disease modification. Ann Rheum Dis 72:23
fl
28
-
19. Maksymowych WP, Landew
R, Conner-Spady B et al (2007) Serum matrix
metalloproteinase 3 is an independent predictor of structural damage progression in patients
with ankylosing spondylitis. Arthritis Rheum 56:1846
é
1853
-
20. Pedersen SJ, S
rensen IJ, Lambert RGW et al (2011) Radiographic progression is associated
with resolution of systemic in
ø
ammation in patients with axial spondylarthritis treated with
tumor necrosis factor alpha inhibitors: a study of radiographic progression, in
fl
fl
ammation on
ammation, angiogenesis, and
cartilage and bone turnover. Arthritis Rheum 63(12):3789
-
3800
21. van Tubergen A, Ramiro S, van der Heijde D et al (2012) Development of new
syndesmophytes and bridges in ankylosing spondylitis and their predictors: a longitudinal
study. Ann Rheum Dis 71:518
-
523
22. Poddubnyy Denis, Haibel Hildrun, Listing Joachim et al (2012) Baseline radiographic
damage, elevated acute-phase reactant levels, and cigarette smoking status predict spinal
radiographic progression in early axial spondylarthritis. Arthritis Rheum 64(5):1388
-
1398
23. Ward MM, Hendrey MR, Malley JD et al (2009) Clinical and immunogenetic prognostic
factors for radiographic severity in ankylosing spondylitis. Arthritis Rheum 61:859
magnetic resonance imaging, and circulating biomarkers of in
fl
866
24. Appel H, Ruiz-Heiland G, Listing J et al (2009) Altered skeletal expression of sclerostin and
its link to radiographic progression in ankylosing spondylitis. Arthritis Rheum 60:3257
-
3262
25. Diarra D, Stolina M, Polzer K et al (2007) Dickkopf-1 is a master regulator of joint
remodeling. Nat Med 13:156
-
163
26. Daoussis D, Liossis SN, Solomou EE et al (2010) Evidence that Dkk-1 is dysfunctional in
ankylosing spondylitis. Arthritis Rheum 62:150
-
158
27. Ruiz-Heiland G, Appel H, Poddubnyy D et al (2012) High level of functional dickkopf-1
predicts protection from syndesmophyte formation in patients with ankylosing spondylitis.
Ann Rheum Dis 71:572
-
574
28. MacKay K, Mack C, Brophy S, Calin A (1998) The bath ankylosing spondylitis radiology index
(BASRI). Anew, validated approach to disease assessment, Arthritis Rheum. 41:2263
-
2270
29. Creemers MC, Franssen MJ, van
'
t Hof MA et al (2005) Assessment of outcome in ankylosing
spondylitis: an extended radiographic scoring system. Ann Rheum Dis 64:127
-
129
30. Wanders AJ, Landew
é
RB, Spoorenberg A et al (2004) What is the most appropriate
radiologic scoring method for ankylosing spondylitis? A comparison of the available methods
based on the Outcome Measures in Rheumatology Clinical Trials filter. Arthritis Rheum
50:2622
-
2632
31. Spoorenberg A, de Vlam K, van der Linden S et al (2004) Radiological scoring methods in
ankylosing spondylitis. Reliability and change over 1 and 2 years. J Rheumatol 31:125
-
132
32. Tan S, Yao J, Ward MM et al (2008) Computer aided evaluation of ankylosing spondylitis
using high-resolution CT. IEEE Trans Med Imaging 27:1252
-
1267
33. Tan S, Yao J, Yao L et al (2012) Improved precision of syndesmophyte measurement for the
evaluation of ankylosing spondylitis using CT: a phantom and patient study. Phys Med Biol
57:4683
-
4704
34. Lorensen WE, Cline HE (1987) Marching cubes: a high resolution 3D surface construction
algorithm. Comput Graph (Proc SIGGRAPH) 21:163
-
169
35. McInerney T, Terzopoulos D (1999) Topology adaptive deformable surfaces for medical
image volume segmentation
”
. IEEE Trans Med Imaging 18(10):840
-
850
36. Kang Y, Engelke K, Kalender WA (2003) A new accurate and precise 3-D segmentation
method for skeletal structures in volumetric CT data. IEEE Trans Med Imaging 22(5):586
-
598
-
