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Detecting Knee Cartilage Structural Changes Using Magnetic Resonance Computed Vision Analysis in Patients with Osteoarthritis: Preliminary Results Cover

Detecting Knee Cartilage Structural Changes Using Magnetic Resonance Computed Vision Analysis in Patients with Osteoarthritis: Preliminary Results

Open Access
|Mar 2021

References

  1. Amira, B., R., Faouzi, B., Hamid, A. (2016). Segmentation of brain MRI using active contour model. Int. J. Imaging Syst. Technol.,27 (1), 3–11.
  2. Apprich, S., Mamisch, T. C., Welsch, G. H., Stelzeneder, D., Albers, C., Totzke, J., Trattnig, S. (2012). Quantitative T2 mapping of the patella at 3.0 T is sensitive to early cartilage degeneration, but also to loading of the knee. Eur. J. Radiol.,81 (4), 438–443.
  3. Armi, L., Fekri-Ershad, S. (2019). Texture image analysis and texture classification methods: A review. Int. Online J. Image Process. Pattern Recogn.,2 (1), 1–29.
  4. Barr, C., Bauer, J. S., Malfair, D., Ma, B., Henning, T. D., Steinbach, L., Link, T. M. (2007). MR imaging of the ankle at 3 Tesla and 1.5 Tesla: Protocol optimization and application to cartilage, ligament and tendon pathology in cadaver specimens. Euro Radiol.,17 (6), 1518–1528.
  5. Binks, D. A., Hodgson, R. J., Ries, M. E., Foster, R. J., Smye, S. W., Gonagle, D. Mc., Radjenovic, A. (2013). Quantitative parametric MRI of articular cartilage: A review of progress and open challenges. BRJ Radiology,86 (1023), 120–163.10.1259/bjr.20120163360806023407427
  6. Buckwalter, J. A., Mankin, H. J. (1998). Articular cartilage: Degeneration and osteoarthritis, repair, regeneration, and transplantation. Instruction Course Lectures,47 (1), 487–504.
  7. Conaghan, P. G., Kloppenburg, M., Schett, G., Bijlsma, J. W., EULAR osteoarthritis ad hoc committee (2014). Osteoarthritis research priorities: A report from a EULAR ad hoc expert committee. Ann. Rheum. Dis., 73 (8), 1442–1445.10.1136/annrheumdis-2013-20466024625626
  8. Crema, M. D., Nevitt, M. C., Guermazi, A., Felson, D. T., Wang, K., Lynch, J. A., Marra, M. D., Torner, J., Lewis, C. E., Roemer, F. W. (2014). Progression of cartilage damage and meniscal pathology over 30 months is associated with an increase in radiographic tibiofemoral joint space narrowing in persons with knee OA the MOST study. Osteoarthr. Cartil.,22 (10), 1743–1747.10.1016/j.joca.2014.07.008418721325278083
  9. Cross, M., Smith, E., Hoy, D., Nolte S., Ackerman, I., Fransen, M., Bridgett, L., Williams, S., Guillemin, F., Hill, C. L. et al. (2014). The global burden of hip and knee osteoarthritis: Estimates from the Global Burden of Disease 2010 study. Ann. Rheum. Dis.,73 (7), 1323–1330.10.1136/annrheumdis-2013-20476324553908
  10. Cuadra, M. B., Favre, J., Omoimi, P. (2020). Quantification in musculo-skeletal imaging using compulational analysis and machine learning: Segmentation and radiomics. Semin. Musculoskel. Radiol.,24 (1), 50–64.
  11. Ding, C., Garnero, P., Cicuttini. F., Scott, F., Cooley, H., Jones, G. (2005). Knee cartilage defects: Association with early radiographic osteoarthritis, decreased cartilage volume, increased joint surface area and type II collagen breakdown. Osteoarthr. Cartil.,13 (3), 198–205.10.1016/j.joca.2004.11.00715727885
  12. Fox, A. J. S., Bedi, A., Rodeo, S. A. (2009). The basic science of articular cartilage: structure, composition, and function. Sports Health, 1 (6), 461–468.
  13. Hunter, D. J., Zhang, Y. Q., Tu, X., Lavalley, M., Niu, J. B., Amin, S., Guermazi, A., Genant, H., Gale, D., Felson, D. T. (2006). Change in joint space width: Hyaline articular cartilage loss or alteration in meniscus? Arthr. Rheum.,54 (8), 2488–2495.10.1002/art.2201616868968
  14. Hunter, D. J., Schofield, D., Callander, E. (2014). The individual and socioeconomic impact of osteoarthritis. Nature Rev. Rheumatol.,10 (7), 437–441.10.1038/nrrheum.2014.4424662640
  15. Kellgren, J. H., Lawrence, J. S. (1957). Radiological assessment of osteoarthrosis. Ann. Rheum. Dis.,16 (4), 494–502.10.1136/ard.16.4.494100699513498604
  16. Lawrence, R. C., Felson, D. T., Helmick, C. G., Arnold, L. M., Choi, H., Deyo, R. A., Gabriel, S., Hirsch, R., Hochberg, M. C., Hunder, G. G., Jordan, J. M., Katz, J. N., Kremers, H. M., Wolfe, F., National Arthritis Data Workgroup (2008). Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II. Arthr. Rheum.,58 (1), 26–35.10.1002/art.23176326666418163497
  17. Lidong, Fu., Zhang, B. (2011). A co-occurrence matrix algorithm used for medical image. In: Proceedings of International Conference on Computer Science and Network Technology, 24–26 December 2011, Harbin, China.
  18. Liu, F., Choi, K., Samsonov, A., Spencer, R., Wilson, J., Block, W., Kijowski, R. (2016). Articular cartilage of the human knee joint: In vivo multicomponent T2 analysis 3.0 T. Radiology, 277 (2), 477–488.
  19. Lui, F., Zhou, Z., Samsonov, A., Blankenbaker, D., Larison, W., Kanarek, A., Lian, K., Kambhampati, S., Kijowski, R. (2018). Deep learning approach for evaluating knee MR images: Achieving high diagnostic performance for cartilage leason detection. Radiology, 289 (1), 160–169.
  20. Maroudas, A., Bayliss, M. T., Venn, M. F. (1980). Further studies on the composition of human femoral head cartilage. Ann. Rheum. Dis.,39 (5), 514–523.10.1136/ard.39.5.51410005967436585
  21. Nasnikova, I. U., Morozov, S. P., Filisteev, P. A. (2011). Magnetic resonance tomography: Quantitative assessment methods in articular cartilage structure analysis of in patients with osteoartrosis. Russ. Electronic J. Radiol.,1 (1), 75–81.
  22. Outerbridge, R. E. (1961). The etiology of chondromalacia patellae. J. Bone Joint Surg. Brit.,43 (B), 752–757.10.1302/0301-620X.43B4.75214038135
  23. Peterfy, C. G., Guermazi, A., Zaim, S., Tirman, P. F. J., Miaux, Y., White, D., Kothari, M., Lu, Y., Fye, K., Zhao, S., Genant, H. K. (2004). Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee in osteoarthritis. Osteoarthr.Cartil.,12 (3), 177–190.10.1016/j.joca.2003.11.00314972335
  24. Quatman, C. E., Hettrich, C. M., Schmitt, L. C., Spindler, K. P. (2011). The clinical utility and diagnostic performance of magnetic resonance imaging for identification of early and advanced knee osteoarthritis: A systematic review. Amer. J. Sports Med.,39 (7), 1557–1568.10.1177/0363546511407612378230821730207
  25. Venn, M., Maroudas, A. (1977). Chemical composition and swelling of normal and osteoarthrotic femoral head cartilage. Chemical composition. Ann. Rheum. Dis.,36 (2), 121–129.10.1136/ard.36.2.1211006646856064
  26. Wick, M. C., Klauser, A. S. (2012). Radiological differential diagnosis of rheumatoid arthritis. Radiologe, 52 (2), 116–123 (in German).
  27. Yulish, B. S., Montanez, J., Goodfellow, D. B., Bryan, P. J., Mulopulos, G. P., Modic, M. T. (1987). Chondromalacia patellae: Assessment with MR imaging. Radiology, 164 (3), 763–76610.1148/radiology.164.3.36158773615877
  28. Zayed, N., Elnemr, H. (2015). Statistical analysis of Haralick texture features to discriminate lung abnormalities. Int. J. Biomed. Imaging, 2015, 267807, 1–7.10.1155/2015/267807461788426557845
DOI: https://doi.org/10.2478/prolas-2021-0008 | Journal eISSN: 2255-890X | Journal ISSN: 1407-009X
Language: English
Page range: 47 - 51
Submitted on: Jul 30, 2020
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Accepted on: Jan 12, 2021
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Published on: Mar 1, 2021
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2021 Ingus Supe, Artjoms Supoņenkovs, Ardis Platkājis, Anda Kadiša, Aivars Lejnieks, published by Latvian Academy of Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.