FREE SHIPPING over $40
OVER 9000 FIVE-STAR REVIEWS
5% OFF ALL SUBSCRIPTIONS
100% HAPPINESS GUARANTEE
Analyze Diet
0
Home / Equine Research Bank / J Equine Sci / Radiographic texture of the trabecular bone of the proximal ...
Journal of equine science2024; 35(2); 21-28; doi: 10.1294/jes.35.21

Radiographic texture of the trabecular bone of the proximal phalanx in horses with metacarpophalangeal osteoarthritis.

Abstract: Osteoarthritis (OA) is a prevalent condition in horses, leading to changes in trabecular bone structure and radiographic texture. Although fractal dimension (FD) and lacunarity have been applied to quantify these changes in humans, their application in horses remains nascent. This study evaluated the use of FD, bone area fraction (BA/TA), and lacunarity in quantifying trabecular bone differences in the proximal phalanx (P1) in 50 radiographic examinations of equine metacarpophalangeal joints with varying OA degrees. In the dorsopalmar view, regions of interest were defined in the trabecular bone of the proximal epiphysis, medial and lateral to the sagittal groove of P1. Lower BA/TA values were observed medially in horses with severe OA (P=0.003). No significant differences in FD and lacunarity were found across OA degrees (P>0.1). FD, BA/TA, and lacunarity were not effective in identifying radiographic texture changes in the P1 trabecular bone in horses with different metacarpophalangeal OA degrees.
©2024 The Japanese Society of Equine Science.
Get Full Text
Publication Date: 2024-07-03 PubMed ID: 38962515PubMed Central: PMC11219155DOI: 10.1294/jes.35.21Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
LinkedInCopy
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The study investigates the use of specific metrics like fractal dimension (FD), bone area fraction (BA/TA) and lacunarity to understand the changes in bone structure in horses affected by osteoarthritis (OA), a common condition causing bone degradation. It concludes that these metrics weren’t successful in identifying structural changes in horses with varying degrees of metacarpophalangeal osteoarthritis.

About Osteoarthritis in Horses

  • Osteoarthritis, or OA, is a condition often seen in horses.
  • OA leads to changes in the trabecular bone structure and radiographic texture in horses.
  • The trabecular bone is the spongy inner layer of the bone that helps to support and protect the rigid outer layer.

Role of Fractal Dimension, Bone Area Fraction, and Lacunarity

  • Fractal Dimension (FD), Bone Area Fraction (BA/TA), and Lacunarity are some metrics in radiographic examinations that have been used in humans to help quantify the changes caused by OA.
  • This study explores the application of these parameters in the examination of horses, which is relatively unexplored.

Method

  • The assessments were performed on the proximal Phalanx (P1), a specific bone in the metacarpophalangeal joints of the horse.
  • They conducted 50 radiographic examinations, observing differing degrees of OA.

Findings

  • Significantly lower BA/TA values were observed in the medial region of horses with severe OA.
  • However, they found no significant differences concerning FD and Lacunarity across horses with different degrees of OA.

Conclusion

  • The study concludes that the metrics used: Fractal Dimension, Bone Area Fraction, and Lacunarity, were not effective in identifying changes in the radiographic texture of the P1 trabecular bone across horses with different degrees of metacarpophalangeal OA.

Cite This Article

APA
Pereira LO, DE Souza AF, Spagnolo JD, Yamada ALM, Salgado DMRA, DE Zoppa ALDV. (2024). Radiographic texture of the trabecular bone of the proximal phalanx in horses with metacarpophalangeal osteoarthritis. J Equine Sci, 35(2), 21-28. https://doi.org/10.1294/jes.35.21

Publication

Journal of equine science
ISSN: 1340-3516
NlmUniqueID: 9503751
Country: Japan
Language: English
Volume: 35
Issue: 2
Pages: 21-28

Researcher Affiliations

Pereira, Lorena de Oliveira
  • School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508270, Brazil.
DE Souza, Anderson Fernando
  • School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508270, Brazil.
Spagnolo, Julio David
  • School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508270, Brazil.
Yamada, Ana Lúcia Miluzzi
  • School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508270, Brazil.
Salgado, Daniela Miranda Richarte de Andrade
  • School of Dentistry, University of São Paulo, São Paulo 05508000, Brazil.
DE Zoppa, André Luis do Valle
  • School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508270, Brazil.

References

This article includes 44 references
  1. Akaike H. A new look at the statistical model identification. IEEE Trans. Autom. 1974 19: 716–723.
  2. Akkari H, Bhouri I, Dubois P, Bedoui M.H. On the relations between 2D and 3D fractal dimensions: theoretical approach and clinical application in bone imaging. Math. Model. Nat. Phenom. 2008 3: 48–75.
  3. Aralica G, Šarec Ivelj M, Pačić A, Baković J, Milković Periša M, Krištić A, Konjevoda P. Prognostic Significance of Lacunarity in Preoperative Biopsy of Colorectal Cancer. Pathol. Oncol. Res. 2020 26: 2567–2576.
    pubmed: 32617959
  4. Baldwin C.M, Smith M.R.W, Allen S, Wright I.M. Radiographic and arthroscopic features of third carpal bone slab fractures and their impact on racing performance following arthroscopic repair in a population of racing Thoroughbreds in the UK. Equine Vet. J. 2020 52: 213–218.
    pubmed: 31356679
  5. Basavarajappa S, Konddajji Ramachandra V, Kumar S. Fractal dimension and lacunarity analysis of mandibular bone on digital panoramic radiographs of tobacco users. J. Dent. Res. Dent. Clin. Dent. Prospect. 2021 15: 140–146.
    pmc: PMC8346712pubmed: 34386187
  6. Alberich-Bayarri A, Marti-Bonmati L, Angeles Pérez M, Sanz-Requena R, Lerma-Garrido J.J, García-Martí G, Moratal D. Assessment of 2D and 3D fractal dimension measurements of trabecular bone from high-spatial resolution magnetic resonance images at 3 T. Med. Phys. 2010 37: 4930–4937.
    pubmed: 20964212
  7. Bollen A.M, Taguchi A, Hujoel P.P, Hollender L.G. Fractal dimension on dental radiographs. Dentomaxillofac. Radiol. 2001 30: 270–275.
    pubmed: 11571547
  8. Borys P, Krasowska M, Grzywna Z.J, Djamgoz M.B.A, Mycielska M.E. Lacunarity as a novel measure of cancer cells behavior. Biosystems 2008 94: 276–281.
    pubmed: 18721854
  9. Britt L.G, Tucker R.L. Articulação metacarpofalangeana/ metatarsofalangeana. 2010 pp. 917–944.
  10. Burr D.B, Gallant M.A. Bone remodelling in osteoarthritis. Nat. Rev. Rheumatol. 2012 8: 665–673.
    pubmed: 22868925
  11. Cantley C.E.L, Firth E.C, Delahunt J.W, Pfeiffer D.U, Thompson K.G. Naturally occurring osteoarthritis in the metacarpophalangeal joints of wild horses. Equine Vet. J. 1999 31: 73–81.
    pubmed: 9952333
  12. Cesur E, Bayrak S, Kursun-Çakmak E.S, Arslan C, Köklü A, Orhan K. Evaluating the effects of functional orthodontic treatment on mandibular osseous structure using fractal dimension analysis of dental panoramic radiographs. Angle Orthod. 2020 90: 783–793.
    pmc: PMC8028436pubmed: 33378509
  13. Chen Q, Bao N, Yao Q, Li Z.Y. Fractal dimension: a complementary diagnostic indicator of osteoporosis to bone mineral density. Med. Hypotheses 2018 116: 136–138.
    pubmed: 29857898
  14. Chirchir H, Ruff C.B, Junno J.A, Potts R. Low trabecular bone density in recent sedentary modern humans. Am. J. Phys. Anthropol. 2017 162: 550–560.
    pubmed: 28101969
  15. Cordeiro M.S, Backes A.R, Júnior A.F.D, Gonçalves E.H.G, de Oliveira J.X. Fibrous dysplasia characterization using lacunarity analysis. J. Digit. Imaging 2016 29: 134–140.
    pmc: PMC4722029pubmed: 26307180
  16. Cui J, Liu C.L, Jennane R, Ai S, Dai K, Tsai T.Y. A highly generalized classifier for osteoporosis radiography based on multiscale fractal, lacunarity, and entropy distributions. Front. Bioeng. Biotechnol. 2023 11: 1054991.
    pmc: PMC10235631pubmed: 37274169
  17. Doube M, Kłosowski M.M, Arganda-Carreras I, Cordelières F.P, Dougherty R.P, Jackson J.S, Schmid B, Hutchinson J.R, Shefelbine S.J. BoneJ: free and extensible bone image analysis in ImageJ. Bone 2010 47: 1076–1079.
    pmc: PMC3193171pubmed: 20817052
  18. Fazzalari N.L, Parkinson I.H. Fractal dimension and architecture of trabecular bone. J. Pathol. 1996 178: 100–105.
    pubmed: 8778308
  19. Fazzalari N.L, Parkinson I.H. Fractal properties of subchondral cancellous bone in severe osteoarthritis of the hip. J. Bone Miner. Res. 1997 12: 632–640.
    pubmed: 9101375
  20. Frisbie D.D, Johnson S.A. Synovial Joint Biology and Pathobiology. 2019 pp. 200–225.
  21. Gallucci M. GAMLj: General Analysis for the Linear Model in Jamovi. 2019.
  22. Geraets W.G.M, van der Stelt P.F. Fractal properties of bone. Dentomaxillofac. Radiol. 2000 29: 144–153.
    pubmed: 10849540
  23. Harrison S.M, Whitton R.C, Kawcak C.E, Stover S.M, Pandy M.G. Evaluation of a subject-specific finite-element model of the equine metacarpophalangeal joint under physiological load. J. Biomech. 2014 47: 65–73.
    pubmed: 24210848
  24. He T, Cao C, Xu Z, Li G, Cao H, Liu X, Zhang C, Dong Y. A comparison of micro-CT and histomorphometry for evaluation of osseointegration of PEO-coated titanium implants in a rat model. Sci. Rep. 2017 7: 16270.
    pmc: PMC5701240pubmed: 29176604
  25. Jolley L, Majumdar S, Kapila S. Technical factors in fractal analysis of periapical radiographs. Dentomaxillofac. Radiol. 2006 35: 393–397.
    pubmed: 17082328
  26. Karadag I, Yilmaz H.G. Evaluation of change in trabecular bone structure surrounding dental implants by fractal dimension analysis and comparison with radiomorphometric indicators: a retrospective study. PeerJ 2022 10: e13145.
    pmc: PMC8953503pubmed: 35341061
  27. Kato C.N.A.O, Barra S.G, Tavares N.P.K, Amaral T.M.P, Brasileiro C.B, Mesquita R.A, Abreu L.G. Use of fractal analysis in dental images: a systematic review. Dentomaxillofac. Radiol. 2020 49: 20180457.
    pmc: PMC7026934pubmed: 31429597
  28. Kawcak C.E, McIlwraith C.W. Proximodorsal first phalanx osteochondral chip fragmentation in 336 horses. Equine Vet. J. 1994 26: 392–396.
    pubmed: 7988543
  29. Lacitignola L, Imperante A, Staffieri F, De Siena R, De Luca P, Muci A, Crovace A. Assessment of Intra-and inter-observer measurement variability in a radiographic metacarpophalangeal joint osteophytosis scoring system for the horse. Vet. Sci. 2020 7: 39.
    pmc: PMC7357069pubmed: 32268589
  30. Maquer G, Musy S.N, Wandel J, Gross T, Zysset P.K. Bone volume fraction and fabric anisotropy are better determinants of trabecular bone stiffness than other morphological variables. J. Bone Miner. Res. 2015 30: 1000–1008.
    pubmed: 25529534
  31. Marsiglia M.F, Yamada A.L.M, Agreste F.R, de Sá L.R.M, Nieman R.T, da Silva L.C.L.C. Morphological analysis of third metacarpus cartilage and subchondral bone in Thoroughbred racehorses: an ex vivo study. Anat. Rec. (Hoboken) 2022 305: 3385–3397.
    pubmed: 35338614
  32. Mishra S, Kumar M, Mishra L, Mohanty R, Nayak R, Das A.C, Mishra S, Panda S, Lapinska B. Fractal dimension as a tool for assessment of dental implant stabilit—a scoping review. J. Clin. Med. 2022 11: 4051.
    pmc: PMC9319468pubmed: 35887815
  33. Moshage S.G, McCoy A.M, Polk J.D, Kersh M.E. Temporal and spatial changes in bone accrual, density, and strain energy density in growing foals. J. Mech. Behav. Biomed. Mater. 2020 103: 103568.
    pubmed: 32090959
  34. Palanivel D.A, Natarajan S, Gopalakrishnan S, Jennane R. Multifractal-based lacunarity analysis of trabecular bone in radiography. Comput. Biol. Med. 2020 116: 103559.
    pubmed: 31765916
  35. Podsiadlo P, Dahl L, Englund M, Lohmander L.S, Stachowiak G.W. Differences in trabecular bone texture between knees with and without radiographic osteoarthritis detected by fractal methods. Osteoarthritis Cartilage 2008 16: 323–329.
    pubmed: 17825585
  36. Rabelo G.D, Roux J.P, Portero-Muzy N, Gineyts E, Chapurlat R, Chavassieux P. Cortical fractal analysis and collagen crosslinks content in femoral neck after osteoporotic fracture in postmenopausal women: comparison with osteoarthritis. Calcif. Tissue Int. 2018 102: 644–650.
    pubmed: 29249023
  37. Sánchez I, Uzcátegui G. Fractals in dentistry. J. Dent. 2011 39: 273–292.
    pubmed: 21300131
  38. de Souza Santos D, Dos Santos L.C, de Albuquerque Tavares Carvalho A, Leão J.C, Delrieux C, Stosic T, Stosic B. Multifractal spectrum and lacunarity as measures of complexity of osseointegration. Clin. Oral Investig. 2016 20: 1271–1278.
    pubmed: 26438344
  39. Saers J.P.P, DeMars L.J, Stephens N.B, Jashashvili T, Carlson K.J, Gordon A.D, Ryan T.M, Stock J.T. Automated resolution independent method for comparing in vivo and dry trabecular bone. Am. J. Phys. Anthropol. 2021 174: 822–831.
    pubmed: 33244765
  40. Silva M.M, Hagen S.C.F, Vendruscolo C.P, Baccarin R.Y.A, Spagnolo J.D, Yamada A.L.M, Stievani F.C, Silva L.C.L.C. The correlation between score-based protocol for equine joint assessment and subsequent arthroscopic intervention outcomes. Braz. J. Vet. Res. Anim. Sci. 2019 56: e158072.
  41. Southard T.E, Southard K.A, Jakobsen J.R, Hillis S.L, Najim C.A. Fractal dimension in radiographic analysis of alveolar process bone. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. Endod. 1996 82: 569–576.
    pubmed: 8936523
  42. The jamovi project. Jamovi. 2021.
  43. Yaşar F, Akgünlü F. Fractal dimension and lacunarity analysis of dental radiographs. Dentomaxillofac. Radiol. 2005 34: 261–267.
    pubmed: 16120874
  44. Zandieh S, Haller J, Bernt R, Hergan K, Rath E. Fractal analysis of subchondral bone changes of the hand in rheumatoid arthritis. Medicine (Baltimore) 2017 96: e6344.
    pmc: PMC5369922pubmed: 28296767

Citations

This article has been cited 0 times.
Subscribe to our newsletter
Join 99,357 horse owners like you who receive our email updates on horse health and nutrition.