Korean Journal of Radiology

  • 제18권4호
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  • Pages.691-698
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  • 2017
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  • 1229-6929(pISSN)
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  • 2005-8330(eISSN)
대한영상의학회 (The Korean Society of Radiology)
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DOI QR코드

DOI QR Code

Texture Analysis of Torn Rotator Cuff on Preoperative Magnetic Resonance Arthrography as a Predictor of Postoperative Tendon Status

  • Kang, Yeonah (Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine) ;
  • Lee, Guen Young (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Lee, Joon Woo (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Lee, Eugene (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Kim, Bohyoung (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Kim, Su Jin (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Ahn, Joong Mo (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Kang, Heung Sik (Department of Radiology, Seoul National University Bundang Hospital)
  • 투고 : 2016.06.19
  • 심사 : 2017.01.31
  • 발행 : 2017.08.01
⟨ 이전 논문 다음 논문 ⟩

초록

Objective: To evaluate texture data of the torn supraspinatus tendon (SST) on preoperative T2-weighted magnetic resonance arthrography (MRA) using the gray-level co-occurrence matrix (GLCM) for prediction of post-operative tendon state. Materials and Methods: Fifty patients who underwent arthroscopic rotator cuff repair for full-thickness tears of the SST were included in this retrospective study. Based on 1-year follow-up, magnetic resonance imaging showed that 30 patients had intact SSTs, and 20 had rotator cuff retears. Using GLCM, two radiologists measured independantly the highest signal intensity area of the distal end of the torn SST on preoperative T2-weighted MRA, which were compared between two groups.The relationships with other well-known prognostic factors, including age, tear size (anteroposterior dimension), retraction size (mediolateral tear length), grade of fatty degeneration of the SST and infraspinatus tendon, and arthroscopic fixation technique (single or double row), also were evaluated. Results: Of all the GLCM features, the retear group showed significantly higher entropy (p < 0.001 and p = 0.001), variance (p = 0.030 and 0.011), and contrast (p = 0.033 and 0.012), but lower angular second moment (p < 0.001 and p = 0.002) and inverse difference moment (p = 0.027 and 0.027), as well as larger tear size (p = 0.001) and retraction size (p = 0.002) than the intact group. Retraction size (odds ratio [OR] = 3.053) and entropy (OR = 17.095) were significant predictors. Conclusion: Texture analysis of torn SSTs on preoperative T2-weighted MRA using the GLCM may be helpful to predict postoperative tendon state after rotator cuff repair.

키워드

과제정보

연구 과제 주관 기관 : SNUBH

참고문헌

  1. Boileau P, Brassart N, Watkinson DJ, Carles M, Hatzidakis AM, Krishnan SG. Arthroscopic repair of full-thickness tears of the supraspinatus: does the tendon really heal? J Bone Joint Surg Am 2005;87:1229-1240
  2. Huijsmans PE, Pritchard MP, Berghs BM, van Rooyen KS, Wallace AL, de Beer JF. Arthroscopic rotator cuff repair with double-row fixation. J Bone Joint Surg Am 2007;89:1248-1257 https://doi.org/10.2106/00004623-200706000-00013
  3. Le BT, Wu XL, Lam PH, Murrell GA. Factors predicting rotator cuff retears: an analysis of 1000 consecutive rotator cuff repairs. Am J Sports Med 2014;42:1134-1142 https://doi.org/10.1177/0363546514525336
  4. Jost B, Zumstein M, Pfirrmann CW, Gerber C. Long-term outcome after structural failure of rotator cuff repairs. J Bone Joint Surg Am 2006;88:472-479
  5. Harryman DT 2nd, Mack LA, Wang KY, Jackins SE, Richardson ML, Matsen FA 3rd. Repairs of the rotator cuff. Correlation of functional results with integrity of the cuff. J Bone Joint Surg Am 1991;73:982-989 https://doi.org/10.2106/00004623-199173070-00004
  6. Denard PJ, Burkhart SS. Arthroscopic revision rotator cuff repair. J Am Acad Orthop Surg 2011;19:657-666 https://doi.org/10.5435/00124635-201111000-00002
  7. Jost B, Pfirrmann CW, Gerber C, Switzerland Z. Clinical outcome after structural failure of rotator cuff repairs. J Bone Joint Surg Am 2000;82:304-314
  8. Gladstone JN, Bishop JY, Lo IK, Flatow EL. Fatty infiltration and atrophy of the rotator cuff do not improve after rotator cuff repair and correlate with poor functional outcome. Am J Sports Med 2007;35:719-728 https://doi.org/10.1177/0363546506297539
  9. Nho SJ, Brown BS, Lyman S, Adler RS, Altchek DW, MacGillivray JD. Prospective analysis of arthroscopic rotator cuff repair: prognostic factors affecting clinical and ultrasound outcome. J Shoulder Elbow Surg 2009;18:13-20 https://doi.org/10.1016/j.jse.2008.05.045
  10. Oh JH, Kim SH, Kang JY, Oh CH, Gong HS. Effect of age on functional and structural outcome after rotator cuff repair. Am J Sports Med 2010;38:672-678 https://doi.org/10.1177/0363546509352460
  11. Chung SW, Oh JH, Gong HS, Kim JY, Kim SH. Factors affecting rotator cuff healing after arthroscopic repair: osteoporosis as one of the independent risk factors. Am J Sports Med 2011;39:2099-2107 https://doi.org/10.1177/0363546511415659
  12. Wu XL, Briggs L, Murrell GA. Intraoperative determinants of rotator cuff repair integrity: an analysis of 500 consecutive repairs. Am J Sports Med 2012;40:2771-2776 https://doi.org/10.1177/0363546512462677
  13. Maqdes A, Abarca J, Moraiti C, Boughebri O, Dib C, Leclere FM, et al. Does preoperative subscapularis fatty muscle infiltration really matter in anterosuperior rotator cuff tears repair outcomes? A prospective multicentric study. Orthop Traumatol Surg Res 2014;100:485-488 https://doi.org/10.1016/j.otsr.2014.02.010
  14. Davnall F, Yip CS, Ljungqvist G, Selmi M, Ng F, Sanghera B, et al. Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging 2012;3:573-589 https://doi.org/10.1007/s13244-012-0196-6
  15. Yun BL, Cho N, Li M, Jang MH, Park SY, Kang HC, et al. Intratumoral heterogeneity of breast cancer xenograft models: texture analysis of diffusion-weighted MR imaging. Korean J Radiol 2014;15:591-604 https://doi.org/10.3348/kjr.2014.15.5.591
  16. Loizou CP, Petroudi S, Seimenis I, Pantziaris M, Pattichis CS. Quantitative texture analysis of brain white matter lesions derived from T2-weighted MR images in MS patients with clinically isolated syndrome. J Neuroradiol 2015;42:99-114 https://doi.org/10.1016/j.neurad.2014.05.006
  17. Raja JV, Khan M, Ramachandra VK, Al-Kadi O. Texture analysis of CT images in the characterization of oral cancers involving buccal mucosa. Dentomaxillofac Radiol 2012;41:475-480 https://doi.org/10.1259/dmfr/83345935
  18. Haralick RM, Shanmugam K. Textural features for image classification. IEEE Trans Syst Man Cybern Syst 1973;3:610-621
  19. Sugaya H, Maeda K, Matsuki K, Moriishi J. Functional and structural outcome after arthroscopic full-thickness rotator cuff repair: single-row versus dual-row fixation. Arthroscopy 2005;21:1307-1316 https://doi.org/10.1016/j.arthro.2005.08.011
  20. Gebejes A, Huertas R. Texture characterization based on greylevel co-occurrence matrix. Conference of Informatics and Management Sciences. Zilina: EDIS-Publishing Institution of the University of Zilina, 2013:375-378
  21. Mohanaiah P, Sathyanarayana P, GuruKumar L. Image texture feature extraction using GLCM approach. Int J of Sci Res Publ 2013;3:1-5
  22. Goutallier D, Postel JM, Bernageau J, Lavau L, Voisin MC. Fatty muscle degeneration in cuff ruptures. Pre- and postoperative evaluation by CT scan. Clin Orthop Relat Res 1994;(304):78-83
  23. Mazzocca AD, Millett PJ, Guanche CA, Santangelo SA, Arciero RA. Arthroscopic single-row versus double-row suture anchor rotator cuff repair. Am J Sports Med 2005;33:1861-1868 https://doi.org/10.1177/0363546505279575
  24. Shen C, Tang ZH, Hu JZ, Zou GY, Xiao RC. Incidence of retear with double-row versus single-row rotator cuff repair. Orthopedics 2014;37:e1006-e1013 https://doi.org/10.3928/01477447-20141023-58
  25. Cummins CA, Murrell GA. Mode of failure for rotator cuff repair with suture anchors identified at revision surgery. J Shoulder Elbow Surg 2003;12:128-133 https://doi.org/10.1067/mse.2003.21
  26. Yip C, Landau D, Kozarski R, Ganeshan B, Thomas R, Michaelidou A, et al. Primary esophageal cancer: heterogeneity as potential prognostic biomarker in patients treated with definitive chemotherapy and radiation therapy. Radiology 2014;270:141-148 https://doi.org/10.1148/radiol.13122869
  27. Zhang J, Tong L, Wang L, Li N. Texture analysis of multiple sclerosis: a comparative study. Magn Reson Imaging 2008;26:1160-1166 https://doi.org/10.1016/j.mri.2008.01.016
  28. Riley GP, Harrall RL, Constant CR, Chard MD, Cawston TE, Hazleman BL. Tendon degeneration and chronic shoulder pain: changes in the collagen composition of the human rotator cuff tendons in rotator cuff tendinitis. Ann Rheum Dis 1994;53:359-366 https://doi.org/10.1136/ard.53.6.359
  29. Saridakis P, Jones G. Outcomes of single-row and double-row arthroscopic rotator cuff repair: a systematic review. J Bone Joint Surg Am 2010;92:732-742 https://doi.org/10.2106/JBJS.I.01295
  30. Nozaki T, Tasaki A, Horiuchi S, Ochi J, Starkey J, Hara T, et al. Predicting Retear after repair of full-thickness rotator cuff tear: two-point dixon MR imaging quantification of fatty muscle degeneration-initial experience with 1-year follow-up. Radiology 2016;280:500-509 https://doi.org/10.1148/radiol.2016151789
  31. Lee JE, Park JS, Ryu KN, Rhee YG, Yoon SH, Park SY, et al. Repaired supraspinatus tendons in clinically improving patients: early postoperative findings and interval changes on MRI. Korean J Radiol 2015;16:363-371 https://doi.org/10.3348/kjr.2015.16.2.363
  32. Sugaya H, Maeda K, Matsuki K, Moriishi J. Repair integrity and functional outcome after arthroscopic double-row rotator cuff repair. A prospective outcome study. J Bone Joint Surg Am 2007;89:953-960 https://doi.org/10.2106/JBJS.F.00512

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