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Preliminary Application of High-Definition CT Gemstone Spectral Imaging in Hand and Foot Tendons

  • Deng, Kai (Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University) ;
  • Zhang, Cheng-Qi (Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University) ;
  • Li, Wei (Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University) ;
  • Wang, Jun-Jun (The Medical College of Shandong University) ;
  • Wang, Xin-Yi (Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University) ;
  • Pang, Tao (Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University) ;
  • Wang, Guang-Li (Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University) ;
  • Liu, Cheng (CT Room, Shandong Medical Imaging Research Institute)
  • Published : 2012.12.01

Abstract

Objective: To assess the feasibility of visualizing hand and foot tendon anatomy and disorders by Gemstone Spectral Imaging (GSI) high-definition CT (HDCT). Materials and Methods: Thirty-five patients who suffered from hand or foot pain were scanned with GSI mode HDCT and MRI. Spectrum analysis was used to select the monochromatic images that provide the optimal contrast-to-noise ratio (CNR) for tendons. The image quality at the best selected monochromatic level and the conventional polychromatic images were compared. Tendon anatomy and disease were also analyzed at GSI and MRI. Results: The monochromatic images at about 65 keV (mean 65.09 ${\pm}$ 2.98) provided the optimal CNR for hand and foot tendons. The image quality at the optimal selected monochromatic level was superior to conventional polychromatic images (p = 0.005, p < 0.05). GSI was useful in visualizing hand and foot tendon anatomy and disorders. There were no statistical differences between GSI and MRI with regard to tendon thickening (${\chi}^2$ = 0, p > 0.05), compression (${\chi}^2$ = 0.5, p > 0.05), absence (${\chi}^2$ = 0, p > 0.05) and rupture (${\chi}^2$ = 0, p > 0.05). GSI was significantly less sensitive than MRI in displaying tendon adhesion (${\chi}^2$ = 4.17, p < 0.05), degeneration (${\chi}^2$ = 4.17, p < 0.05), and tendinous sheath disease (${\chi}^2$ = 10.08, p < 0.05). Conclusion: GSI with monochromatic images at 65 keV displays clearly the most hand and foot tendon anatomy and disorders with image quality improved, as compared with conventional polychromatic images. It may be used solely or combined with MRI in clinical work, depending on individual patient disease condition.

Keywords

References

  1. Jacobson JA. Musculoskeletal ultrasound and MRI: which do I choose? Semin Musculoskelet Radiol 2005;9:135-149 https://doi.org/10.1055/s-2005-872339
  2. Clavero JA, Alomar X, Monill JM, Esplugas M, Golano P, Mendoza M, et al. MR imaging of ligament and tendon injuries of the fingers. Radiographics 2002;22:237-256 https://doi.org/10.1148/radiographics.22.2.g02mr11237
  3. Zhang D, Li X, Liu B. Objective characterization of GE discovery CT750 HD scanner: gemstone spectral imaging mode. Med Phys 2011;38:1178-1188 https://doi.org/10.1118/1.3551999
  4. Yang WJ, Chen KM, Pang LF, Guo Y, Li JY, Zhang H, et al. High-definition computed tomography for coronary artery stent imaging: a phantom study. Korean J Radiol 2012;13:20-26 https://doi.org/10.3348/kjr.2012.13.1.20
  5. Deng K, Sun C, Liu C, Ma R. Initial experience with visualizing hand and foot tendons by dual-energy computed tomography. Clin Imaging 2009;33:384-389 https://doi.org/10.1016/j.clinimag.2008.12.007
  6. Bencardino JT. MR imaging of tendon lesions of the hand and wrist. Magn Reson Imaging Clin N Am 2004;12:333-347, vii https://doi.org/10.1016/j.mric.2004.02.010
  7. Sunagawa T, Ochi M, Ishida O, Ono C, Ikuta Y. Three-dimensional CT imaging of flexor tendon ruptures in the hand and wrist. J Comput Assist Tomogr 2003;27:169-174 https://doi.org/10.1097/00004728-200303000-00012
  8. Santiago FR, Plazas PG, Fernandez JM. Sonography findings in tears of the extensor pollicis longus tendon and correlation with CT, MRI and surgical findings. Eur J Radiol 2008;66:112-116 https://doi.org/10.1016/j.ejrad.2007.05.007
  9. Lin XZ, Miao F, Li JY, Dong HP, Shen Y, Chen KM. High-definition CT Gemstone spectral imaging of the brain: initial results of selecting optimal monochromatic image for beam-hardening artifacts and image noise reduction. J Comput Assist Tomogr 2011;35:294-297 https://doi.org/10.1097/RCT.0b013e3182058d5c
  10. Goo HW, Yang DH, Kim N, Park SI, Kim DK, Kim EA. Collateral ventilation to congenital hyperlucent lung lesions assessed on xenon-enhanced dynamic dual-energy CT: an initial experience. Korean J Radiol 2011;12:25-33 https://doi.org/10.3348/kjr.2011.12.1.25
  11. Hur S, Lee JM, Kim SJ, Park JH, Han JK, Choi BI. 80-kVp CT using Iterative Reconstruction in Image Space algorithm for the detection of hypervascular hepatocellular carcinoma: phantom and initial clinical experience. Korean J Radiol 2012;13:152-164 https://doi.org/10.3348/kjr.2012.13.2.152
  12. Soni P, Stern CA, Foreman KB, Rockwell WB. Advances in extensor tendon diagnosis and therapy. Plast Reconstr Surg 2009;123:52e-57e https://doi.org/10.1097/01.prs.0000345599.95343.2a
  13. Sun C, Miao F, Wang XM, Wang T, Ma R, Wang DP, et al. An initial qualitative study of dual-energy CT in the knee ligaments. Surg Radiol Anat 2008;30:443-447 https://doi.org/10.1007/s00276-008-0349-y
  14. Sunagawa T, Ishida O, Ishiburo M, Suzuki O, Yasunaga Y, Ochi M. Three-dimensional computed tomography imaging: its applicability in the evaluation of extensor tendons in the hand and wrist. J Comput Assist Tomogr 2005;29:94-98 https://doi.org/10.1097/01.rct.0000148275.22548.44
  15. Ohashi K, Restrepo JM, El-Khoury GY, Berbaum KS. Peroneal tendon subluxation and dislocation: detection on volume-rendered images--initial experience. Radiology 2007;242:252-257 https://doi.org/10.1148/radiol.2421050921
  16. Dalrymple NC, Prasad SR, Freckleton MW, Chintapalli KN. Informatics in radiology (infoRAD): introduction to the language of three-dimensional imaging with multidetector CT. Radiographics 2005;25:1409-1428 https://doi.org/10.1148/rg.255055044

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