Abstract
This paper presents some of the recently developed solutions for non-invasive scoliosis assessment and diagnosis. Scoliosis is a complex 3D deformity that affects younger population especially in early adolescence, usually without a known reason. The main standard in traditional scoliosis evaluation is single or biplanar radiography in frontal and sagittal plane of the patient and so-called Cobb angle measured on the dominant deformity curve. Nowadays, it is recommended, by many professional societies, to avoid intensive and often X-ray (ionizing) rehearsals and monitoring due to cumulative harmful effect on patients. In that course many research and development institutes and companies offer wide variety solutions for non-invasive diagnosis. Many of these are based on an optical 3D digitizer and software necessary to extract or estimate the degree of deformity and to generate its visualization. We also gave a contribution to this topic with innovative optical method - 3D Scoliosis simulator.
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References
Devedžić, G., Ćuković, S., Luković, V., Milošević, D., Subburaj, K., Luković, T.: ScolioMedIS: web-oriented information system for idiopathic scoliosis visualization and monitoring. Comput. Methods Progr. Biomed. 108(2), 736–749 (2012)
Don, R., Capodaglio, P., Cimolin, V., Benedetti, M.G., D’Osualdo, F., Frigo, C., Vismara, L., Negrini, S.: Instrumental measures of spinal function: is it worth? A state-of-the art from a clinical perspective. Eur. J. Phys. Rehabil. Med. 48(2), 255–273 (2012)
Legaye, J.: Recent Advances in Scoliosis – 8. Three-Dimensional Assessment of the Scoliosis. InTech, London (2012)
Gorton, G., Young, M., Masso, P.: Accuracy, reliability, and validity of a 3-dimensional scanner for assessing torso shape in idiopathic scoliosis. Spine 37(11), 957–965 (2012)
Cheung, C.W., Law, S.Y., Zheng, Y.P.: Development of 3-D ultrasound system for assessment of adolescent idiopathic scoliosis (AIS): and system validation. In: Conference of the IEEE Engineering in Medicine and Biology Society (2013)
Treuillet, S., Lucas, Y., Crepin, G., Peuchot, B., Pichaud, J.C.: SYDESCO: a laser-video scanner for 3D scoliosis evaluations. Stud. Health Technol. Inform. 88, 70–73 (2002)
Berryman, F., Pynsent, P., Fairbank, J., Disney, S.: A new system for measuring three-dimensional back shape in scoliosis. Eur. Spine J. 17(5), 663–672 (2008)
Zubović, A., Davies, N., Berryman, F., Pynsent, P., Quraishi, N., Lavy, C., Bowden, G., Wilson-Macdonald, J., Fairbank, J.: New method of scoliosis deformity assessment: ISIS2 system. Stud. Health Technol. Inform. 140, 157–160 (2008)
Jaremko, J., Poncet, P., Ronsky, J., Harder, J., Dansereau, J., Labelle, H., Zernicke, R.: Estimation of spinal deformity in scoliosis from torso surface cross sections. Spine 26(14), 1583–1591 (2001)
Petros, P., Theodoros, G., Angelos, K., Costas, A., Evangelos, D.: A review of the trunk surface metrics used as scoliosis and other deformities evaluation indices. Scoliosis 5(12), 1–20 (2010)
Sakka, S.A., Macindoe, S., Mehta, M.H.: Correlation of the quantec scanner measurements with x-ray measurements in scoliosis. Res. Spinal Deform. 1(37), 313–317 (1996)
Xue-Cheng, L., Tassone, J., Thometz, J., Paulsen, L., Lyon, R., Marquez-Barrientos, C., Tarima, S., Paul, R.: Development of a 3-dimensional back contour imaging system for monitoring scoliosis progression in children. Spine Deform. 1(2), 102–107 (2013)
Liu, X.C., Thometz, J.G., Tassone, J.C., Paulsen, L.C., Lyon, R.M.: Historical review and experience with the use of surface topographic systems in children with idiopathic scoliosis. OA Musculoskelet. Med. 1(1), 1–8 (2013)
Labelle, H., Aubin, C., Jackson, R., Lenke, L., Newton, P., Parent, S.: Seeing the spine in 3D: how will it change what we do? J. Pediatr. Orthop. 31(1), 37–45 (2011)
Ronckers, C.M., Land, C.E., Miller, J.S., Stovall, M., Lonstein, J.E., Doody, M.M.: Cancer mortality among women frequently exposed to radiographic exams for spinal disorders. Radiat. Res. 174(1), 83–90 (2010)
09 February 2018. http://www.eos-imaging.com/
Wade, R., Yang, H., McKenna, C., Faria, R., Gummerson, N., Woolacott, N.: A systematic review of the clinical effectiveness of EOS 2D/3D X-ray imaging system. Eur. Spine J. 22, 296–304 (2013)
Birkfellner, W.: Applied Medical Image Processing: A Basic Course. CRC Press, Vienna (2010)
Preim, B., Bartz, D.: Visualization in Medicine: Theory, Algorithms, and Application. Elsevier, Morgan Kaufmann Publishers, Burlington (2007)
Huysmans, T., Moens, P., Van Audekercke, R.: An active shape model for the reconstruction of scoliotic deformities from back shape data. Clin. Biomech. 20, 813–821 (2005)
Drerup, B., Hierholzer, E.: Back shape measurement using video rasterstereography and three-dimensional reconstruction of spinal shape. Clin. Biomech. 9, 28–36 (1994)
Burkhard, D.: Rasterstereographic measurement of scoliotic deformity. Scoliosis 9(22), 1–18 (2014)
Dangerfield, P.: Research into Spinal Deformities 6. IOS Press, Amsterdam (2008)
Aubin, C.E., Stokes, I.A.F., Labelle, H., Moreau, A.: Research into Spinal Deformities 7. Studies in Health Technology and Informatics, vol. 158. IOS Press, Amsterdam (2010)
Turner-Smith, A., Harris, D., Houghton, G., Jefferson, R.: A method for analysis of back shape in scoliosis. J. Biomech. 21(6), 497–509 (1988)
04 March 2018. http://www.diers.de
Tanguy, A., Peuchot, B.: Research into Spinal Deformities 3, vol. 88. IOS Press, Amsterdam (2002)
Acknowledgement
This research is supported by the Swiss Government Excellence grant (Ref. 2017.0024) approved by the Federal Commission for Scholarships for Foreign Students (FCS).
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Ćuković, S.M., Taylor, W.R., Ghionea, I.G. (2019). Technology-Enhanced Systems in Idiopathic Scoliosis 3D Diagnosis and Screening. In: Karabegović, I. (eds) New Technologies, Development and Application. NT 2018. Lecture Notes in Networks and Systems, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-90893-9_33
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