Three dimensional measurement of minimum joint space width in the knee from stereo radiographs using statistical shape models

Bone and Joint Research

Volumn 5, Issue 8, 2016, Pages 320-327

  Van Ijsseldijk, E A ^a   Valstar, E R ^a   Stoel, B C ^a   Nelissen, R G H H ^a   Baka, N ^a   Van't Klooster, R ^a   Kaptein, B L ^a  

^a LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Knee; MJSW measurement; Roentgen stereophotogrammetric analysis; Statistical shape model

Indexed keywords

ADULT; AGED; ARTICLE; BONE MICROARCHITECTURE; BONE STRUCTURE; CADAVER; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC IMAGING; FEASIBILITY STUDY; FEMALE; HUMAN; HUMAN TISSUE; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; IMAGING SOFTWARE; JOINT CAVITY; KNEE; KNEE OSTEOARTHRITIS; MALE; MEASUREMENT ACCURACY; MEASUREMENT ERROR; MIDDLE AGED; MINIMUM JOINT SPACE WIDTH; MOBILE X RAY UNIT; PATIENT POSITIONING; POSITIONING DEVICE; QUANTITATIVE ANALYSIS; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL SHAPE MODEL; THREE DIMENSIONAL IMAGING; TIBIAL PLATEAU; TWO DIMENSIONAL IMAGING; VALIDATION STUDY; VERY ELDERLY; X RAY SYSTEM;

EID: 84983504632     PISSN: None     EISSN: 20463758     Source Type: Journal    
DOI: 10.1302/2046-3758.58.2000626     Document Type: Article

References (29)

1. Schaap LA, Peeters GM, Dennison EM, et al. European Project on OSteoArthritis (EPOSA): methodological challenges in harmonization of existing data from fve European population-based cohorts on aging. BMC Musculoskelet Disord 2011; 12: 272.
2. Shapiro JR, Byers PH, Glorieux FH, Sponseller P. eds. Osteogenesis imperfecta: A translational approach to brittle bone disease. First ed. Cambridge: Academic Press, 2013.
3. Buckland-Wright C. Which radiographic techniques should we use for research and clinical practice? Best Pract Res Clin Rheumatol 2006; 20: 39-55.
4. Guermazi A, Burstein D, Conaghan P, et al. Imaging in osteoarthritis. Rheum Dis Clin North Am 2008; 34: 645-687.
5. Conrozier T, Favret H, Mathieu P, et al. Infuence of the quality of tibial plateau alignment on the reproducibility of computer joint space measurement from Lyon schuss radiographic views of the knee in patients with knee osteoarthritis. Osteoarthritis Cartilage 2004; 12: 765-770.
6. Mazzuca SA, Brandt KD, Dieppe PA, et al. Effect of alignment of the medial tibial plateau and x-ray beam on apparent progression of osteoarthritis in the standing anteroposterior knee radiograph. Arthritis Rheum. 2001; 44: 1786-1794.
7. Buckland-Wright JC, Wolfe F, Ward RJ, Flowers N, Hayne C. Substantial superiority of semifexed (MTP) views in knee osteoarthritis: a comparative radiographic study, without fuoroscopy, of standing extended, semifexed (MTP), and schuss views. J Rheumatol 1999; 26: 2664-2674.
8. Mazzuca SA. Hellio Le Graverand M-P, Vignon E, et al. Performance of a non-fuoroscopically assisted substitute for the Lyon schuss knee radiograph: quality and reproducibility of positioning and sensitivity to joint space narrowing in osteoarthritic knees. Osteoarthritis Cartilage 2008; 16: 1555-1559.
9. Kaptein BL, Valstar ER, Stoel BC, Rozing PM, Reiber JHC A new model-based RSA method validated using CAD models and models from reversed engineering. J Biomech 2003; 36: 873-882.
10. Ryd L, Albrektsson BE, Carlsson L, et al. Roentgen stereophotogrammetric analysis as a predictor of mechanical loosening of knee prostheses. J Bone Joint Surg [Br] 1995; 77-B: 377-383.
11. van Ijsseldijk EA, Valstar ER, Stoel BC, et al. The robustness and accuracy of in vivo linear wear measurements for knee prostheses based on model-based RSA. J Biomech 2011; 44: 2724-2727.
12. Sarkalkan N, Weinans H, Zadpoor AA. Statistical shape and appearance models of bones. Bone 2014; 60: 129-140.
13. Huétink K. van 't Klooster R, Kaptein BL, et al. Automatic radiographic quantification of hand osteoarthritis; accuracy and sensitivity to change in joint space width in a phantom and cadaver study. Skeletal Radiol 2012; 41: 41-49.
14. Lorensen WE, Cline HE. Marching cubes: A high resolution 3D surface construction algorithm. In: SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques New York: ACM, 1987: 163-169.
15. Cootes TF, Hill A, Taylor CJ, Haslam J. Use of active shape models for locating structures in medical images. Image Vis Comput 1994; 12: 355-365.
16. Baka N, Kaptein BL, Giphart JE, et al. Evaluation of automated statistical shape model based knee kinematics from biplane fuoroscopy. J Biomech 2014; 47: 122-129.
17. Klein S, Staring M, Murphy K, Viergever MA, Pluim JP. Elastix: a toolbox for intensity-based medical image registration. Medical Imaging IEEE Transactions on 2010; 29: 196-205.
18. Baka N, Kaptein BL, de Bruijne M, et al. 2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models. Med Image Anal 2011; 15: 840-850.
19. No authors listed. Division of Image Processing. www.lkeb.nl (date last accessed 13 July 2016).[[bibmisc]]
20. van 't Klooster R, Hendriks EA, Watt I, et al. Automatic quantification of osteoarthritis in hand radiographs: validation of a new method to measure joint space width. Osteoarthritis Cartilage 2008; 16: 18-25.
21. Bland JM, Altman DG. Measurement error. BMJ 1996; 313: 744.
22. Dupuis DE, Beynnon BD, Richard MJ, et al. Precision and accuracy of joint space width measurements of the medial compartment of the knee using standardized MTP semi-fexed radiographs. Osteoarthritis Cartilage 2003; 11: 716-724.
23. Eckstein F, Mosher T, Hunter D. Imaging of knee osteoarthritis: data beyond the beauty. Curr Opin Rheumatol 2007; 19: 435-443.
24. Wirth W, Duryea J. Hellio Le Graverand MP, et al. Direct comparison of fxed fexion, radiography and MRI in knee osteoarthritis: responsiveness data from the Osteoarthritis Initiative. Osteoarthritis Cartilage 2013; 21: 117-125.
25. Heimann T, Meinzer H-P. Statistical shape models for 3D medical image segmentation: a review. Med Image Anal 2009; 13: 543-563.
26. Barr RJ, Gregory JS, Reid DM, et al. Predicting OA progression to total hip replacement: can we do better than risk factors alone using active shape modelling as an imaging biomarker? Rheumatology (Oxford) 2012; 51: 562-570.
27. Gregory JS, Testi D, Stewart A, et al. A method for assessment of the shape of the proximal femur and its relationship to osteoporotic hip fracture. Osteoporos Int 2004; 15: 5-11.
28. Lynch JA, Parimi N, Chaganti RK, et al. The association of proximal femoral shape and incident radiographic hip OA in elderly women. Osteoarthritis Cartilage 2009; 17: 1313-1318.
29. Felson DT, Neogi T. Osteoarthritis: is it a disease of cartilage or of bone? Arthritis Rheum 2004; 50: 341-344.