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Post a Comment Opportunities of magnetic resonance imaging in diagnosis of microstructural changes of articular cartilage in osteoarthritis
- Authors: Kabalyk M.A.1
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Affiliations:
- Pacific State Medical University
- Issue: Vol 35, No 3 (2018)
- Pages: 15-23
- Section: Articles
- URL: https://journals.rcsi.science/PMJ/article/view/9172
- DOI: https://doi.org/10.17816/pmj35315-23
- ID: 9172
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Abstract
Aim. To estimate the opportunities of proton density-weighed magnetic resonance tomograms in diagnosis of microstructural changes of articular cartilage (AC) in osteoarthritis (OA) on the basis of proton density (PD) variability analyzed.
Materials and methods. Sixty two patients with OA and 8 volunteers without OA were examined. All the patients underwent MRI of the knee joints, using tomograph with magnetic field intensity equal to 1.5 tesla. To assess MR images, semiquantitative measurements of articular tissues on the basis of WORMS protocols were used. To estimate the proton density, manual segmentation of PDFS-weighed images of the knee joint medial condyle was implemented. The proton density was estimated, applying 3-D histogram (0–255).
Results. At stage I of osteoarthritis, fall in density H+ in the peripheral zone of AC was observed, but it was preserved in the contact part, exposed to maximum statodynamic loadings. At stage II, significant progressing decrease in H+ density peaks in the AC regions, subjected to lesser loads, with preservation of high spectral peaks in the region of elevated friction was stated. Stage III of gonarthrosis was characterized by decrease in H+-spectra as a whole, especially in the loading regions of AC. At stage IV of OA, global reduction in PD intensity was observed along the whole cartilaginous plate surface.
Conclusions. The detected patterns of changes in proton density spectra reflect the known degenerative process in AC with osteoarthritis. This property of proton-weight MR-images can be used for assessment of microstructural changes in the articular cartilage with OA.
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##article.viewOnOriginalSite##About the authors
M. A. Kabalyk
Pacific State Medical University
Author for correspondence.
Email: maxi_maxim@mail.ru
кандидат медицинских наук, ассистент Института терапии и инструментальной диагностики
Russian Federation, 2, Ostryakova Prospekt, Vladivostok, 690002References
- Кабалык М.А., Гнеденков С.В., Коваленко Т.С., Синенко А.А., Молдованова Л.М. Молекулярные подтипы остеоартрита. Тихоокеанский медицинский журнал 2017; 4: 40-44.
- Кабалык М.А., Коваленко Т.С., Осипов А.Л., Фадеев М.Ф. Морфологические обоснования применения методов текстурного анализа изображений субхондральной кости при остеоартрите. Современные проблемы науки и образования 2017; 5: 98-107.
- Кабалык М.А. Роль сосудистых факторов в патогенезе остеоартрита. Современные проблемы науки и образования 2017; 2: 50-55.
- Apprich S., Welsch G.H., Mamisch T.C., Szomolanyi P., Mayerhoefer M., Pinker K., Trattnig S. Detection of degenerative cartilage disease: comparison of high-resolution morphological MR and quantitative T2 mapping at 3.0 Tesla. Osteoarthritis Cartilage 2010;8 (9): 1211-1217.
- Dijkstra A.J., Anbeek P., Yang K.G., Vincken K.L., Viergever M.A., Castelein R.M., Saris D.B. Validation of a novel semiautomated segmentation method for MRI detection of cartilage-related bone marrow lesions. Cartilage 2010; 1 (4): 328-334.
- Eckstein F., Burstein D., Link T.M. Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis. NMR Biomed 2006; 19: 822-854.
- Gadjanski I. Recent advances on gradient hydrogels in biomimetic cartilage tissue engineering. F1000Res 2017; 6: 2158.
- Gray M.L., Burstein D., Xia Y. Biochemical (and functional) imaging of articular cartilage. Semin Musculoskelet Radiol 2001; 5: 329-343.
- Kester B.S., Carpenter P.M., Yu H.J., Nozaki T., Kaneko Y., Yoshioka H., Schwarzkopf R. T1ρ/T2 mapping and histopathology of degenerative cartilage in advanced knee osteoarthritis. World J Orthop 2017; 8(4): 350-356.
- Link T.M., Stahl R., Woertler K. Cartilage imaging: motivation, techniques, current and future significance. Eur Radiol 2007; 17(5): 1135-1146.
- McAlindon T.E., Watt I., McCrae F., Goddard P., Dieppe P.A. Magnetic resonance imaging in osteoarthritis of the knee: correlation with radiographic and scintigraphic findings. Ann Rheum Dis 1991; 50(1): 14-19.
- Peterfy C.G., Guermazi A., Zaim S., Tirman P.F., Miaux Y., White D. Whole-organ magnetic resonance imaging score (WORMS) of the knee in osteoarthritis. Osteoarthritis Cartilage 2004; 12: 177-190.
- Pritzker K.P., Gay S., Jimenez S.A., Ostergaard K., Pelletier J.P., Revell P.A., Salter D., van den Berg W.B. Osteoarthritis cartilage histopathology: grading and staging. Osteoarthritis Cartilage 2006; 14(1): 13-29.
- Steinbeck M.J., Eisenhauer P.T., Maltenfort M.G., Parvizi J., Freeman T.A. Identifying patient-specific pathology in osteoarthritis development based on microCT analysis of subchondral trabecular bone. J Arthroplasty 2016; 31(1): 269-277.
- van Eck C.F., Kingston R.S., Crues J.V., Kharrazi F.D. Magnetic resonance imaging for patellofemoral chondromalacia: is there a role for T2 mapping? Orthop J Sports Med 2017; 5(11): 2325967117740554.
- Xu L., Hayashi D., Roemer F.W., Felson D.T., Guermazi A. Magnetic resonance imaging of subchondral bone marrow lesions in association with osteoarthritis. Semin Arthritis Rheum 2012; 42(2): 105-118.
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