THE ROLE OF MAGNETIC RESONANCE IMAGING IN THE DIAGNOSIS OF DEFORMING ARTHROSIS OF PROFESSIONAL ETIOLOGY IN MINERS
The paper analyzes the effectiveness of magnetic resonance imaging with cartilage diagram in diagnosing signs of professional deforming arthrosis of knee joints in miners working in conditions of significant physical loading.
Aim of the research – to determine of diagnostic efficiency of indicators of magnetic resonance imaging of the knee joint and cartilage diagram in miners of the main occupations suffering from deforming arthrosis.
Methods. The research is conducted in 30 miners of basic occupations: 20 mining workers of breakage face (MWBF) and 10 machinists of shearer mining machines (МSMM) have been treated in the inpatient department of occupational pathology of the Lviv Regional Clinical Hospital in 2015-2017 due to deforming arthrosis. Damages of the main anatomical elements of the knee joint with arthrosis were analyzed, visualized initially with the help of MRI, and then - cartilage diagram.
Results. According to the MRI data, in miners of the main occupations with arthrosis of the knee joint the posterior cross-shaped ligament are most commonly affected (in 75.0±9.7 % MWBF and 70.0±14.5 % МSMM), damage to the medial collateral ligament are diagnosed less frequently (in 5.0±4.9 % in the MWBF and in 10.0±9.5 % in the МSMM). On average 3.8±0.4 modified elements of the knee joint are visualized in patients, whereas 4.8±0.1 affected areas are visualized on the cartilage diagram (р<0.05). In 86.7±6.2 % patients, in the analysis of cartilage diagram, changes in all five analyzed areas are diagnosed, indicating a higher efficiency of the diagnosis of changes in the structures of the joint with DA of the professional etiology of the method of cartilage diagram compared with MRI. According to the cartilage diagram the most significant changes are noted in the hypertrophy of the femur: among all miners 62.5±0.3 ms (medial) and 62.6±0.4 ms (lateral), in the MWBF group the average time of Т2-delay is the largest in the area of the medial hypertrophy of the femur is 60.9±2.3 ms, in the МSMM group – in the area of the lateral hypertrophy of the femur: 66.7±3.3 ms, which can be linked to the peculiarities of the forced working position of miners of these professions and the kinetics of joint structures.
These results can be used to diagnose the initial lesions of joint structures with DA of professional genesis, as well as the creation of prognostic models for determining the the degree of risk of development of knee joint damage, which will allow to improve the system of personified approach to diagnostic and preventive measures in working persons in conditions of considerable physical activity and forced working position.
Angeretti, G., Ferraro, S., De Falco, G., Genovese, E., Cherubino, P., Ronga, M. (2014). Imaging of articular cartilage: current concepts. Joints, 2 (3), 137–140. doi: http://doi.org/10.11138/jts/2014.2.3.137
De Windt, T. S., Welsch, G. H., Brittberg, M., Vonk, L. A., Marlovits, S., Trattnig, S., Saris, D. B. F. (2013). Is Magnetic Resonance Imaging Reliable in Predicting Clinical Outcome After Articular Cartilage Repair of the Knee? The American Journal of Sports Medicine, 41 (7), 1695–1702. doi: http://doi.org/10.1177/0363546512473258
Eckstein, F., Burstein, D., Link, T. M. (2006). Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis. NMR in Biomedicine, 19 (7), 822–854. doi: http://doi.org/10.1002/nbm.1063
Crema, M. D., Roemer, F. W., Marra, M. D., Burstein, D., Gold, G. E., Eckstein, F. et. al. (2011). Articular Cartilage in the Knee: Current MR Imaging Techniques and Applications in Clinical Practice and Research. RadioGraphics, 31 (1), 37–61. doi: http://doi.org/10.1148/rg.311105084
Alizai, H., Roemer, F. W., Hayashi, D., Crema, M. D., Felson, D. T., Guermazi, A. (2015). An update on risk factors for cartilage loss in knee osteoarthritis assessed using MRI-based semiquantitative grading methods. European Radiology, 25 (3), 883–893. doi: http://doi.org/10.1007/s00330-014-3464-7
Crespo Rodriguez, A. M., de Lucas Villarrubia, J. C., Pastrana Ledesma, M. A., Millan Santos, I., Padron, M. (2015). Diagnosis of lesions of the acetabular labrum, of the labral–chondral transition zone, and of the cartilage in femoroacetabular impingement: Correlation between direct magnetic resonance arthrography and hip arthroscopy. Radiología, 57 (2), 131–141. doi: http://doi.org/10.1016/j.rxeng.2013.11.001
Kovalenko, V. M., Bortkevich, O. P., Protsenko, G. O., Povoroznyuk, V. V. (2011). Instrumental visualization in rheumatology. Part I. Radioisotope scintigraphy, thermography, positron emission tomography, magnetic resonance imaging. Pain Joints Spine, 2 (2). Available at: http://www.mif-ua.com/archive/article/18651
Binks, D. A., Hodgson, R. J., Ries, M. E., Foster, R. J., Smye, S. W., McGonagle, D., Radjenovic, A. (2013). Quantitative parametric MRI of articular cartilage: a review of progress and open challenges. The British Journal of Radiology, 86 (1023), 20120163. doi: http://doi.org/10.1259/bjr.20120163
Blackman, A. J., Smith, M. V., Flanigan, D. C., Matava, M. J., Wright, R. W., Brophy, R. H. (2013). Correlation Between Magnetic Resonance Imaging and Clinical Outcomes After Cartilage Repair Surgery in the Knee. The American Journal of Sports Medicine, 41 (6), 1426–1434. doi: http://doi.org/10.1177/0363546513485931
Wyatt, C., Guha, A., Venkatachari, A., Li, X., Krug, R., Kelley, D. E. et. al. (2015). Improved differentiation between knees with cartilage lesions and controls using 7T relaxation time mapping. Journal of Orthopaedic Translation, 3 (4), 197–204. doi: http://doi.org/10.1016/j.jot.2015.05.003
Eckstein, F., Cicuttini, F., Raynauld, J.-P., Waterton, J. C., Peterfy, C. (2006). Magnetic resonance imaging (MRI) of articular cartilage in knee osteoarthritis (OA): morphological assessment. Osteoarthritis and Cartilage, 14, 46–75. doi: http://doi.org/10.1016/j.joca.2006.02.026
Welsch, G. H., Juras, V., Szomolanyi, P., Mamisch, T. C., Baer, P., Kronnerwetter, C. et. al. (2012). Magnetic resonance imaging of the knee at 3 and 7 Tesla: a comparison using dedicated multi-channel coils and optimised 2D and 3D protocols. European Radiology, 22 (9), 1852–1859. doi: http://doi.org/10.1007/s00330-012-2450-1
Teichtahl, A. J., Smith, S., Wang, Y., Wluka, A. E., O’Sullivan, R., Giles, G. G., Cicuttini, F. M. (2015). Occupational risk factors for hip osteoarthritis are associated with early hip structural abnormalities: a 3.0 T magnetic resonance imaging study of community-based adults. Arthritis Research & Therapy, 17 (1), 19. doi: http://doi.org/10.1186/s13075-015-0535-3
Kohl, S., Meier, S., Ahmad, S. S., Bonel, H., Exadaktylos, A. K., Krismer, A., Evangelopoulos, D. S. (2015). Accuracy of cartilage-specific 3-Tesla 3D-DESS magnetic resonance imaging in the diagnosis of chondral lesions: comparison with knee arthroscopy. Journal of Orthopaedic Surgery and Research, 10 (1). doi: http://doi.org/10.1186/s13018-015-0326-1
Horng, A., Raya, J. G., Stockinger, M., Notohamiprodjo, M., Pietschmann, M., Hoehne-Hueckstaedt, U. et. al. (2015). Topographic deformation patterns of knee cartilage after exercises with high knee flexion: an in vivo 3D MRI study using voxel-based analysis at 3T. European Radiology, 25 (6), 1731–1741. doi: http://doi.org/10.1007/s00330-014-3545-7
Zink, J., Souteyrand, P., Guis, S., Chagnaud, C., Le Fur, Y., Militianu, D. et. al. (2015). Standardized quantitative measurements of wrist cartilage in healthy humans using 3T magnetic resonance imaging. World Journal of Orthopedics, 6 (8), 641–648. doi: http://doi.org/10.5312/wjo.v6.i8.641
Vrezas, I., Elsner, G., Bolm-Audorff, U., Abolmaali, N., Seidler, A. (2009). Case–control study of knee osteoarthritis and lifestyle factors considering their interaction with physical workload. International Archives of Occupational and Environmental Health, 83 (3), 291–300. doi: http://doi.org/10.1007/s00420-009-0486-6
Vincent, T. L., Watt, F. E. (2014). Osteoarthritis. Medicine, 42 (4), 213–219. doi: http://doi.org/10.1016/j.mpmed.2014.01.010
Hong, E., Kraft, M. C. (2014). Evaluating Anterior Knee Pain. Medical Clinics of North America, 98 (4), 697–717. doi: http://doi.org/10.1016/j.mcna.2014.03.001
Madan, I., Grime, P. R. (2015). The management of musculoskeletal disorders in the workplace. Best Practice & Research Clinical Rheumatology, 29 (3), 345–355. doi: http://doi.org/10.1016/j.berh.2015.03.002
Shevaga, V. M., Painok, A. V., Beloshitsky, V. V., Zadorozhna, B. V., Netlukh, A. M., Kobyletsky, O. Ya. et. al. (2016). Mathematical modeling of the influence of risk factors on the probability of an adverse result in severe craniocerebral trauma. Bulletin of scientific research, 4, 46–48.
Copyright (c) 2018 Angela Basanets, Maria Bulavko
This work is licensed under a Creative Commons Attribution 4.0 International License.
Our journal abides by the Creative Commons CC BY copyright rights and permissions for open access journals.
Authors, who are published in this journal, agree to the following conditions:
1. The authors reserve the right to authorship of the work and pass the first publication right of this work to the journal under the terms of a Creative Commons CC BY, which allows others to freely distribute the published research with the obligatory reference to the authors of the original work and the first publication of the work in this journal.
2. The authors have the right to conclude separate supplement agreements that relate to non-exclusive work distribution in the form in which it has been published by the journal (for example, to upload the work to the online storage of the journal or publish it as part of a monograph), provided that the reference to the first publication of the work in this journal is included.