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Comparison between 2D and 3D computed tomography evaluation of glenoid bone defect in unilateral anterior gleno-humeral instability

Confronto tra ricostruzioni 2D e 3D nella valutazione mediante tomografia computerizzata del difetto osseo glenoideo nella instabilità gleno-omerale anteriore monolaterale

  • Musculoskeletal Radiology / Radiologia Muscoloscheletrica
  • Published:
La radiologia medica Aims and scope Submit manuscript

Abstract

Purpose

This study evaluated the agreement between 2D and 3D computed tomography (CT) measurements in identifying the size and type of glenoid-bone defect in anterior glenohumeral instability.

Materials and methods

One hundred patients affected by unilateral anterior glenohumeral instability underwent a CT of both shoulders. Images were processed with both 2D [multiplanar reconstruction (MPR)] and 3D [volumerendering (VR)] methods. The area of the missing glenoid was calculated in comparison with the healthy glenoid and expressed as a percentage. Agreement between the two measurements was assessed according to the Bland-Altman method; a 5% mean difference was considered as clinically relevant.

Results

Analysis of agreement between MPR and VR measurements of the percentage of missing glenoid showed a mean difference equal to 0.62%±1.96%. Percent agreement between the two measurements in detecting the presence of bone defect was 97% (p<0.0001). Percent agreement between the two measurements in discriminating the type of bone defect was 97% (p<0.0001).

Conclusions

Agreement between 2D (MPR) and 3D (VR) CT measurements to identify the size and type of glenoid-bone defect in anterior glenohumeral instability was so high that the two measurements can be considered interchangeable.

Riassunto

Obiettivo

Scopo del nostro lavoro è stato valutare la concordanza tra misurazioni bidimensionali (2D) e tridimensionali (3D) con tomografia computerizzata (TC) nella identificazione delle dimensioni e del tipo di difetto osseo di glena nell’instabilità gleno-omerale anteriore.

Materiali e metodi

Cento pazienti con instabilità glenoomerale anteriore monolaterale hanno eseguito esame TC delle spalle. Le immagini sono state riformate sia con il metodo 2D (multi-planar reconstruction, MPR) che 3D (volume rendering technique, VRT). L’area del difetto di glena è stata calcolata in confronto con la glena sana ed è stata espressa in percentuale. La concordanza tra le due misurazioni è stata valutata con il metodo Bland-Altman; una differenza media del 5% è stata considerata clinicamente significativa.

Risultati

L’analisi della concordanza tra le misurazioni MPR e VRT della percentuale di glena mancante ha mostrato una differenza media di 0,62%±1,96%. La concordanza percentuale tra le due misurazioni nel valutare la grandezza del difetto osseo è stata del 97% (p<0,0001). La concordanza percentuale nel discriminare il tipo di difetto osseo è stata del 97% (p<0,0001).

Conclusioni

La concordanza tra misurazioni TC 2D (MPR) e 3D (VRT) nell’identificare le dimensioni ed il tipo di difetto osseo di glena nell’instabilità glenoomerale anteriore è stata cosÌ alta da poterle considerare intercambiabili.

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References/Bibliografia

  1. Burkhart SS, De Beer JF, Tehrany AM, Parten PM (2002) Quantifying glenoid bone loss arthroscopically in shoulder instability. Arthroscopy 18:488–491. DOI 10.1053/jars.2002.32212

    Article  PubMed  Google Scholar 

  2. Gerber C, Nyffeler RW (2002) Classification of glenohumeral joint instability. Clin Orthop Rel Res 400:65–78

    Article  Google Scholar 

  3. Greis PE, Scuderi MG, Mohr A et al (2002) Glenohumeral articular contact areas and pressures following labral and osseous injury to the anteroinferior quadrant of the glenoid. J Shoulder Elbow Surg 11:442–451. DOI 10.1067/mse.2002.124526

    Article  PubMed  Google Scholar 

  4. Itoi E, Lee SB, Berglund LJ et al (2000) The effect of a glenoid defect on anteroinferior stability of the shoulder after Bankart repair: a cadaveric study. J Bone Joint Surg Am 82:35–46

    PubMed  CAS  Google Scholar 

  5. Montgomery WH Jr, Wahl M, Hettrich C et al (2005) Antero-inferior bonegrafting can restore stability in osseous glenoid defects. J Bone Joint Surg Am 87:1972–1977. DOI 10.2106/JBJS.D.02573

    Article  PubMed  Google Scholar 

  6. Balg F, Boileau P (2007) The instability severity index score. A simple pre-operative score to select patients for arthroscopic or open shoulder stabilisation. J Bone Joint Surg Br 89:1470–1477. DOI 10.1302/0301-620X.89B11.18962

    Article  PubMed  CAS  Google Scholar 

  7. Bigliani LU, Newton PM, Steinmann SP et al (1998) Glenoid rim lesions associated with recurrent anterior dislocation of the shoulder. Am J Sports Med 26:41–45

    PubMed  CAS  Google Scholar 

  8. Boileau P, Villalba M, Henry JY et al (2006) Risk factors for recurrence of shoulder instability after arthroscopic Bankart repair. J Bone Joint Surg Am 88:1755–1763. DOI 10.2106/JBJS.E.00817

    Article  PubMed  Google Scholar 

  9. Burkhart SS, De Beer JF (2000) Traumatic glenohumeral bone defects and their relationship to failure of arthroscopic Bankart repairs: significance of the inverted-pear glenoid and the humeral engaging Hill-Sachs lesion. Arthroscopy 16:677–694. DOI 10.1053/jars.2000.17715

    Article  PubMed  CAS  Google Scholar 

  10. Tauber M., Resch H (2004) Reason for failure after surgical repair of anterior shoulder instability. J Shoulder Elbow Surg 13:278–285. DOI 10.1016/j. jse.2004.01.008

    Article  Google Scholar 

  11. Bushnell BD, Creighton RA, Herring MM (2008) Bony instability of the shoulder. Arthroscopy 24:1061–1073. DOI 10.1016/j.arthro.2008.05.015

    Article  PubMed  Google Scholar 

  12. Chen AL, Hunt SA, Hawkins RJ, Zuckerman JD (2005) Management of bone loss associated with recurrent anterior glenohumeral instability. Am J Sports Med 33:912–925. DOI 10.1177/0363546505277074

    Article  PubMed  Google Scholar 

  13. Edwards TB, Boulahia A, Walch G (2003) Radiographic analysis of bone defects in chronic anterior shoulder instability. Arthroscopy 19:732–739. DOI 10.1016/S0749-8063(03)00684-4

    Article  PubMed  Google Scholar 

  14. Griffith JF, Antonio GE, Tong CW, Ming CK (2003) Anterior shoulder dislocation: quantification of glenoid bone loss with CT. AJR Am J Roentgenol 180:1423–1430

    PubMed  Google Scholar 

  15. Huijsmans PE, Haen PS, Kidd M et al (2007) Quantification of a glenoid defect with three-dimensional computed tomography and magnetic resonance imaging: a cadaveric study. J Shoulder Elbow Surg 16:803–809. DOI 10.1016/j.jse.2007.02.115

    Article  PubMed  Google Scholar 

  16. Itoi E, Lee SB, Amrami KK et al (2003) Quantitative assessment of classic anteroinferior bony Bankart lesions by radiography and computed tomography. Am J Sports Med 31:112–118

    PubMed  Google Scholar 

  17. Pavlov H, Warren RF, Weiss CB Jr (1985) The roentgenographic evaluation of anterior shoulder instability. Clin Orthop Rel Res 194:153–158

    Google Scholar 

  18. Saintmard B, Lecouvet F, Rubini A, Dubuc JE (2009) Is the bare spot a valid landmark for glenoid evaluation in arthroscopic Bankart surgery? Acta Orthop Belg 75:736–742

    PubMed  Google Scholar 

  19. Sugaya H, Moriishi J, Dohi M et al (2003) Glenoid rim morphology in recurrent anterior glenohumeral instability. J Bone Joint Surg Am 85:878–884

    PubMed  Google Scholar 

  20. Barchilon VS, Kotz E, Barchilon Ben-Av M et al (2008) A simple method for quantitative evaluation of the missing area of the anterior glenoid in anterior instability of the glenohumeral joint. Skeletal Radiol 37:731–736. DOI 10.1007/s00256-008-0506-8

    Article  PubMed  Google Scholar 

  21. Chuang TY, Adams CR, Burkhart SS (2008) Use of preoperative threedimensional computed tomography to quantify glenoid bone loss in shoulder instability. Arthroscopy 24:376–382. DOI 10.1016/j.arthro.2007.10.008

    Article  PubMed  Google Scholar 

  22. Saito H, Itoi E, Sugaya H et al (2005) Location of the glenoid defect in shoulders with recurrent anterior dislocation. Am J Sports Med 33:889–893. DOI 10.1177/0363546504271521

    Article  PubMed  Google Scholar 

  23. Stevens KJ, Preston BJ, Wallace WA, Kerslake RW (1999) CT and 3D reconstructions of shoulders with anterior glenohumeral instability. Clin Anat 12:326–336

    Article  PubMed  CAS  Google Scholar 

  24. Baudi P, Righi P, Bolognesi D et al (2005) How to identify and calculate glenoid bone deficit. Chir Organi Mov 90:145–152

    PubMed  CAS  Google Scholar 

  25. Griffith JF, Antonio GE, Yung PS et al (2008) Prevalence, pattern, and spectrum of glenoid bone loss in anterior shoulder dislocation: CT analysis of 218 patients. AJR Am J Roentgenol 190:1247–1254. DOI 10.2214/AJR.07.3009

    Article  PubMed  Google Scholar 

  26. Griffith JF, Yung PS, Antonio GE et al (2007) CT compared with arthroscopy in quantifying glenoid bone loss. AJR Am J Roentgenol 189:1490–1493. DOI 10.2214/AJR.07.2473

    Article  PubMed  Google Scholar 

  27. Magarelli N, Milano G, Sergio P et al (2009) Intra-observer and interobserver reliability of the ‘Pico’ computed tomography method for quantification of glenoid bone defect in anterior shoulder instability. Skeletal Radiol 38:1071–1075. DOI 10.1007/s00256-009-0719-5

    Article  PubMed  Google Scholar 

  28. Bland JM (2003) How can I decide the sample size for a study of agreement between two methods of measurement? http://www.users.york.ac.uk/~mb55/meas/sizemeth.htm. Accessed April 2011

  29. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 8:307–310

    Article  Google Scholar 

  30. Jankauskas L, Rüdiger HA, Pfirrmann CW et al (2010) Loss of the sclerotic line of the glenoid on anteroposterior radiographs of the shoulder: a diagnostic sign for an osseous defect of the anterior glenoid rim. J Shoulder Elbow Surg 19:151–156. DOI 10.1016/j.jse.2009.04.013

    Article  PubMed  Google Scholar 

  31. De Wilde LF, Berghs BM, Audenaert E et al (2004) About the variability of the shape of the glenoid cavity. Surg Radiol Anat 26:54–59. DOI 10.1007/s00276-003-0167-1

    Article  PubMed  Google Scholar 

  32. Aigner F, Longato S, Fritsch H, Kralinger F (2004) Anatomical considerations regarding the “bare spot” of the glenoid cavity. Surg Radiol Anat 26:308–311. DOI 10.1007/s00276-003-0217-8

    Article  PubMed  CAS  Google Scholar 

  33. Huysmans PE, Haen PS, Kidd M et al (2006) The shape of the inferior part of the glenoid: a cadaveric study. J Shoulder Elbow Surg 15:759–763. DOI 10.1016/j.jse.2005.09.001

    Article  PubMed  Google Scholar 

  34. Kralinger F, Aigner F, Longato S et al (2006) Is the bare spot a consistent landmark for shoulder arthroscopy? A study of 20 embalmed glenoids with 3-dimensional computed tomographic reconstruction. Arthroscopy 22:428–432. DOI 10.1016/j.arthro.2005.12.006

    Article  PubMed  Google Scholar 

  35. Provencher MT, Detterline AJ, Ghodadra N et al (2008) Measurement of glenoid bone loss: a comparison of measurement error between 45 degrees and 0 degrees bone loss models and with different posterior arthroscopy portal locations. Am J Sports Med 36:1132–1138. DOI 10.1177/0363546508316041

    Article  PubMed  Google Scholar 

  36. Stoller D, Shellock FG, Crues JV (1996) MRI of the shoulder: a rational approach to the reporting of findings. J Magn Reson Imaging 6:268–270

    Article  PubMed  Google Scholar 

  37. Willemsen UF, Wiedemann E, Brunner U et al (1998) Prospective evaluation of MR arthrography performed with high-volume intraarticular saline enhancement in patients with recurrent anterior dislocations of the shoulder. AJR Am J Roentgenol 170:79–84

    PubMed  CAS  Google Scholar 

  38. Diederichs G, Seim H, Meyer H et al (2008) CT-based patient-specific modeling of glenoid rim defects: a feasibility study. AJR Am J Roentgenol 191:1406–1411. DOI 10.2214/AJR.08.1091

    Article  PubMed  Google Scholar 

  39. Jeske HC, Oberthaler M, Klingensmith M et al (2009) Normal glenoid rim anatomy and the reliability of shoulder instability measurements based on intrasite correlation. Surg Radiol Anat 31:623–625. DOI 10.1007/s00276-009-0492-0

    Article  PubMed  Google Scholar 

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Magarelli, N., Milano, G., Baudi, P. et al. Comparison between 2D and 3D computed tomography evaluation of glenoid bone defect in unilateral anterior gleno-humeral instability. Radiol med 117, 102–111 (2012). https://doi.org/10.1007/s11547-011-0712-7

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