Login Register Cart 0
Generic placeholder image

Current Rheumatology Reviews

Editor-in-Chief

ISSN (Print): 1573-3971
ISSN (Online): 1875-6360

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

Application of ImageJ Software for the Quantification of Hand Joint Space Narrowing in Patients with Rheumatoid Arthritis

Author(s): Nui Nguyen Minh*, Nga Phi Thi Nguyen, Chau Nguyen Ngoc, Tien Tran Duy, Thong Nguyen Huy, Binh Nhu Do and Tien Tran Viet

Volume 18, Issue 2, 2022

Published on: 02 June, 2021

Page: [136 - 143] Pages: 8

DOI: 10.2174/1573397117666210602113848

Price: $65

Abstract

Background: ImageJ software is used to quantify the joint space width (JSW) of hand and wrist in patients with rheumatoid arthritis (RA) as well as in the healthy control group.

Methods: Forty-one RA patients and 31 healthy controls were included in this study. All of 72 participants underwent digital radiography of the bilateral hand and wrist; then, all the images were opened by ImageJ software to measure the width of wrist and hand joint space (total 2160 joints). Joint space narrowing (JSN) was defined if the width was less than the mean - 2SD of the control group.

Result: The mean JSW of all sites of wrist and hand joints of RA patients were significantly reduced as compared to those in the control group (p<0.001). There were 37/41 (90.24%) RA patients who had JSN in at least one joint in hand or wrist. In total, 70.89% of joints on the right and 68.46% of joints on the left wrist and hand had JSN.

Conclusion: ImageJ software is simple and convenient that helps rheumatologists quantify the width of joint space for diagnosis and follow-up in RA patients.

Keywords: Rheumatoid arthritis, joint space narrowing, imageJ software, hand joints, radiography, RA patients.

« Previous Next »
[1]
Pianta A, Arvikar SL, Strle K, et al. Two rheumatoid arthritis-specific autoantigens correlate microbial immunity with autoimmune responses in joints. J Clin Invest 2017; 127(8): 2946-56.
[http://dx.doi.org/10.1172/JCI93450] [PMID: 28650341]
[2]
Pap T, Korb-Pap A. Cartilage damage in osteoarthritis and rheumatoid arthritis-two unequal siblings. Nat Rev Rheumatol 2015; 11(10): 606-15.
[http://dx.doi.org/10.1038/nrrheum.2015.95] [PMID: 26195338]
[3]
Fouque-Aubert A, Chapurlat R, Miossec P, Delmas PD. A comparative review of the different techniques to assess hand bone damage in rheumatoid arthritis. Joint Bone Spine 2010; 77(3): 212-7.
[http://dx.doi.org/10.1016/j.jbspin.2009.08.009] [PMID: 20381399]
[4]
van der Heijde DM. Radiographic imaging: The ‘gold standard’ for assessment of disease progression in rheumatoid arthritis. Rheumatology (Oxford) 2000; 39(Suppl. 1): 9-16.
[http://dx.doi.org/10.1093/oxfordjournals.rheumatology.a031496] [PMID: 11001374]
[5]
van der Heijde D. How to read radiographs according to the Sharp/van der Heijde method. J Rheumatol 2000; 27(1): 261-3.
[PMID: 10648051]
[6]
Ichikawa S, Kamishima T, Sutherland K, et al. Semi-Automated Quantification of Finger Joint Space Narrowing Using Tomosynthesis in Patients with Rheumatoid Arthritis. J Digit Imaging 2017; 30(3): 369-75.
[http://dx.doi.org/10.1007/s10278-017-9949-6] [PMID: 28105533]
[7]
Peloschek P, Langs G, Weber M, et al. An automatic model-based system for joint space measurements on hand radiographs: Initial experience. Radiology 2007; 245(3): 855-62.
[http://dx.doi.org/10.1148/radiol.2452061281] [PMID: 17951347]
[8]
Pfeil A, Böttcher J, Seidl BE, et al. Computer-aided joint space analysis of the metacarpal-phalangeal and proximal-interphalangeal finger joint: Normative age-related and gender-specific data. Skeletal Radiol 2007; 36(9): 853-64.
[http://dx.doi.org/10.1007/s00256-007-0304-8] [PMID: 17508211]
[9]
Pfeil A, Böttcher J, Schäfer ML, et al. Normative reference values of joint space width estimated by computer-aided joint space analysis (CAJSA): The distal interphalangeal joint. J Digit Imaging 2008; 21(1)(Suppl. 1): 104-12.
[http://dx.doi.org/10.1007/s10278-007-9031-x] [PMID: 17384977]
[10]
Angwin J, Lloyd A, Heald G, Nepom G, Binks M, James MF. Radiographic hand joint space width assessed by computer is a sensitive measure of change in early rheumatoid arthritis. J Rheumatol 2004; 31(6): 1050-61.
[PMID: 15170915]
[11]
Sharp JT, Gardner JC, Bennett EM. Computer-based methods for measuring joint space and estimating erosion volume in the finger and wrist joints of patients with rheumatoid arthritis. Arthritis Rheum 2000; 43(6): 1378-86.
[http://dx.doi.org/10.1002/1529-0131(200006)43:6<1378::AID-ANR23>3.0.CO;2-H] [PMID: 10857798]
[12]
Böttcher J, Pfeil A, Rosholm A, et al. Computerized digital imaging techniques provided by digital X-ray radiogrammetry as new diagnostic tool in rheumatoid arthritis. J Digit Imaging 2006; 19(3): 279-88.
[http://dx.doi.org/10.1007/s10278-006-0263-y] [PMID: 16628388]
[13]
Nguyen MN, Nishijo M, Nguyen AT, et al. Effects of maternal exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin on parvalbumin- and calbindin-immunoreactive neurons in the limbic system and superior colliculus in rat offspring. Toxicology 2013; 314(1): 125-34.
[http://dx.doi.org/10.1016/j.tox.2013.09.005] [PMID: 24060430]
[14]
Arnett FC, Edworthy SM, Bloch DA, et al. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum 1988; 31(3): 315-24.
[http://dx.doi.org/10.1002/art.1780310302] [PMID: 3358796]
[15]
Steinbrocker O, Traeger CH, Batterman RC. Therapeutic criteria in rheumatoid arthritis. J Am Med Assoc 1949; 140(8): 659-62.
[http://dx.doi.org/10.1001/jama.1949.02900430001001] [PMID: 18150288]
[16]
Aletaha D, Funovits J, Smolen JS. Physical disability in rheumatoid arthritis is associated with cartilage damage rather than bone destruction. Ann Rheum Dis 2011; 70(5): 733-9.
[http://dx.doi.org/10.1136/ard.2010.138693] [PMID: 21321002]
[17]
Huo Y, Vincken KL, van der Heijde D, De Hair MJ, Lafeber FP, Viergever MA. Automatic quantification of radiographic finger joint space width of patients with early rheumatoid arthritis. IEEE Trans Biomed Eng 2016; 63(10): 2177-86.
[http://dx.doi.org/10.1109/TBME.2015.2512941] [PMID: 26731521]
[18]
Ichikawa S, Kamishima T, Sutherland K, Okubo T, Katayama K. Performance of computer-based analysis using temporal subtraction to assess joint space narrowing progression in rheumatoid patients. Rheumatol Int 2016; 36(1): 101-8.
[http://dx.doi.org/10.1007/s00296-015-3349-3] [PMID: 26298417]
[19]
Ichikawa S, Kamishima T, Sutherland K, Okubo T, Katayama K. Radiographic quantifications of joint space narrowing progression by computer-based approach using temporal subtraction in rheumatoid wrist. Br J Radiol 2016; 89(1057): 20150403.
[http://dx.doi.org/10.1259/bjr.20150403] [PMID: 26481695]
[20]
Ichikawa S, Kamishima T, Sutherland K, et al. Computer-Based radiographic quantification of joint space narrowing progression using sequential hand radiographs: Validation study in rheumatoid arthritis patients from multiple institutions. J Digit Imaging 2017; 30(5): 648-56.
[http://dx.doi.org/10.1007/s10278-017-9970-9] [PMID: 28378032]
[21]
Finckh A, de Pablo P, Katz JN, et al. Performance of an automated computer-based scoring method to assess joint space narrowing in rheumatoid arthritis: A longitudinal study. Arthritis Rheum 2006; 54(5): 1444-50.
[http://dx.doi.org/10.1002/art.21802] [PMID: 16645974]
[22]
Pfeil A, Sommerfeld J, Fröber R, et al. Feasibility study of semi-automated measurements of finger joint space widths. Rheumatol Int 2011; 31(10): 1349-54.
[http://dx.doi.org/10.1007/s00296-010-1468-4] [PMID: 20401484]
[23]
Huo Y, Veldhuizen RD, van der Heijde DM, et al. Automated joint space width quantification of hand and wrist joints: A proof of concept study. Clin Exp Rheumatol 2016; 34(5)(Suppl. 101): S34-9.
[PMID: 27762190]
[24]
Huo Y, Vincken KL, van der Heijde D, de Hair MJH, Lafeber FP, Viergever MA. Automatic quantification of radiographic wrist joint space width of patients with rheumatoid arthritis. IEEE Trans Biomed Eng 2017; 64(11): 2695-703.
[http://dx.doi.org/10.1109/TBME.2017.2659223] [PMID: 28141515]
[25]
Tam L-S. The role of high-resolution peripheral quantitative computed tomography as a biomarker for joint damage in inflammatory arthritis. J Rheumatol 2016; 43(10): 1911-3.
[http://dx.doi.org/10.3899/jrheum.160645] [PMID: 27698105]
[26]
Bouta EM, Banik PD, Wood RW, et al. Validation of power Doppler versus contrast-enhanced magnetic resonance imaging quantification of joint inflammation in murine inflammatory arthritis. J Bone Miner Res 2015; 30(4): 690-4.
[http://dx.doi.org/10.1002/jbmr.2392] [PMID: 25359523]
[27]
Yang H, Rivoire J, Hoppe M, et al. Computer-aided and manual quantifications of MRI synovitis, bone marrow edema-like lesions, erosion and cartilage loss in rheumatoid arthritis of the wrist. Skeletal Radiol 2015; 44(4): 539-47.
[http://dx.doi.org/10.1007/s00256-014-2059-3] [PMID: 25488101]
[28]
Burghardt AJ, Lee CH, Kuo D, et al. Quantitative in vivo HR-pQCT imaging of 3D wrist and metacarpophalangeal joint space width in rheumatoid arthritis. Ann Biomed Eng 2013; 41(12): 2553-64.
[http://dx.doi.org/10.1007/s10439-013-0871-x] [PMID: 23887879]
[29]
Drosos AA, Pelechas E, Voulgari PV. Conventional radiography of the hands and wrists in rheumatoid arthritis. What a rheumatologist should know and how to interpret the radiological findings. Rheumatol Int 2019; 39(8): 1331-41.
[http://dx.doi.org/10.1007/s00296-019-04326-4] [PMID: 31119369]
[30]
Peterfy CG, DiCarlo JC, Olech E, Bagnard MA, Gabriele A, Gaylis N. Evaluating joint-space narrowing and cartilage loss in rheumatoid arthritis by using MRI. Arthritis Res Ther 2012; 14(3): R131.
[http://dx.doi.org/10.1186/ar3861] [PMID: 22647501]

Rights & Permissions Print Cite
Article Metrics
20
1
© 2024 Bentham Science Publishers | Privacy Policy