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Animals : an open access journal from MDPI2026; 16(3); 449; doi: 10.3390/ani16030449

Three-Dimensional Reconstruction of the Equine Palmar Metacarpal Region Using E12 Plastinated Sections.

Abstract: Digital technologies have improved the visualization of anatomical structures for veterinary education and clinical practice. In this study, a detailed three-dimensional anatomical model of the equine palmar metacarpal region was generated using E12-based epoxy sheet plastination combined with digital reconstruction in Amira V5.6 software. Serial cross-sections of the metacarpal region provided high-resolution visualization of bones, tendons, ligaments, nerves, vessels, fasciae, and synovial structures, with minimal shrinkage or deformation, ensuring improved anatomical accuracy. These sections were digitized, aligned, and manually segmented to accurately delineate anatomical boundaries, particularly in areas of low contrast. The resulting three-dimensional model represents the topographical relationships of key structures, including palmar nerves and vessels, the palmar fascia with the metacarpal flexor retinaculum (MFR), and the common synovial sheath (, CSS). The model allows rotation and selective visualization of individual structures, facilitating examination from multiple perspectives. This combined plastination-digital approach provides an accurate anatomical reference with value for veterinary anatomy education, clinical training, surgical planning, and research on equine musculoskeletal disorders.
Publication Date: 2026-02-01 PubMed ID: 41681428PubMed Central: PMC12896420DOI: 10.3390/ani16030449Google Scholar: Lookup
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  • Journal Article

Summary

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Three-dimensional digital models of the equine palmar metacarpal region were created using detailed epoxy resin plastinated cross-sections, enabling improved visualization of complex anatomical features important for veterinary education and clinical applications.

Overview of Research Purpose and Importance

  • The study aimed to generate a precise 3D anatomical model of the equine palmar metacarpal region, which is part of a horse’s forelimb involved in locomotion and weight-bearing.
  • Enhancing anatomical visualization aids veterinarians and researchers in understanding the complex arrangements of bones, tendons, ligaments, nerves, and vessels in this area, which is critical for diagnosis, treatment, and surgical planning.
  • Digital modeling combined with plastination offers a more interactive and detailed perspective than traditional static images or dissection specimens.

Methodology: Data Acquisition and Processing

  • Specimens of the equine palmar metacarpal region were prepared using the E12 epoxy sheet plastination technique, which preserves cross-sectional anatomy with minimal shrinkage and deformation, maintaining accurate spatial relationships.
  • Serial cross-sections were produced that demonstrated high-resolution anatomical details, capturing various structures including:
    • Bones (likely metacarpal bones)
    • Tendons and ligaments (providing mechanical support and movement)
    • Nerves and vessels (important for sensory and blood supply)
    • Fasciae and synovial structures such as the common synovial sheath (CSS)
  • The physical sections were digitized, meaning each slice was converted into digital images.
  • Using Amira V5.6 software, images were aligned and segmented manually to delineate anatomical boundaries, especially where tissue contrast was low, ensuring accurate identification of each component.

Construction of the Three-Dimensional Model

  • The segmented 2D slice images were reconstructed into a 3D digital model.
  • This model captures the topographical and spatial relationship of important anatomical structures such as:
    • Palmar nerves and vessels which run on the palmar (back) side of the metacarpus
    • The palmar fascia, including the metacarpal flexor retinaculum (MFR), which acts as a retainer for tendons and protects underlying structures
    • The common synovial sheath (CSS), a fluid-filled structure that reduces friction around tendons
  • The model supports interactive features such as rotation and selective visualization, allowing users to view individual anatomical components in isolation or combined, facilitating better understanding through multiple perspectives.

Applications and Significance of the Model

  • Provides an accurate anatomical reference for veterinary students and professionals learning equine musculoskeletal anatomy.
  • Improves clinical training by enabling veterinarians to visualize complex structures preoperatively or for diagnostic evaluations.
  • Assists surgeons in planning interventions by understanding the relative positioning of critical nerves, vessels, and connective tissue structures.
  • Supports research into equine musculoskeletal disorders, including tendon injuries or joint conditions affecting the palmar metacarpal region.
  • The combination of plastination with digital reconstruction represents a valuable advancement over traditional anatomical resources, combining physical preservation quality with interactive digital analysis.

Cite This Article

APA
Eren G, López-Albors O, López Corbalán M, Latorre R. (2026). Three-Dimensional Reconstruction of the Equine Palmar Metacarpal Region Using E12 Plastinated Sections. Animals (Basel), 16(3), 449. https://doi.org/10.3390/ani16030449

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 16
Issue: 3
PII: 449

Researcher Affiliations

Eren, Gulsum
  • Department of Anatomy and Comparative Pathological Anatomy, Veterinary Faculty, University of Murcia, 30100 Murcia, Spain.
López-Albors, Octavio
  • Department of Anatomy and Comparative Pathological Anatomy, Veterinary Faculty, University of Murcia, 30100 Murcia, Spain.
López Corbalán, Mirian
  • Department of Anatomy and Comparative Pathological Anatomy, Veterinary Faculty, University of Murcia, 30100 Murcia, Spain.
Latorre, Rafael
  • Department of Anatomy and Comparative Pathological Anatomy, Veterinary Faculty, University of Murcia, 30100 Murcia, Spain.

Conflict of Interest Statement

The authors declare no conflicts of interest.

References

This article includes 37 references
  1. Sora M.C., Latorre R., Baptista C., López-Albors O.. Plastination—A scientific method for teaching and research.. J. Vet. Med. C Anat. Histol. Embryol. 2019;48:526–531.
    doi: 10.1111/ahe.12493pubmed: 31573113google scholar: lookup
  2. Latorre R., de Jong K., Sora M.C., López-Albors O., Baptista C.. E12 technique: Conventional epoxy resin sheet plastination.. J. Vet. Med. C Anat. Histol. Embryol. 2019;48:557–563.
    doi: 10.1111/ahe.12507pubmed: 31617253google scholar: lookup
  3. Blázquez-Llorca L., Morales de Paz L., Martín-Orti R., Santos-Álvarez I., Fernández-Valle M.E., Castejón D., García-Real M.I., Salgüero-Fernández R., Pérez-Lloret P., Moreno N.. The Application of 3D Anatomy for Teaching Veterinary Clinical Neurology.. Animals 2023;1:1601.
    doi: 10.3390/ani13101601pmc: PMC10215491pubmed: 37238031google scholar: lookup
  4. de Preux M., Klopfenstein Bregger M.D., Brünisholz H.P., Van der Vekens E., Schweizer-Gorgas D., Koch C.. Clinical use of computer-assisted orthopedic surgery in horses.. Vet. Surg. 2020;49:1075–1087.
    doi: 10.1111/vsu.13486pubmed: 32677115google scholar: lookup
  5. Hunt J.A., Heydenburg M., Anderson S.L., Thompson R.R.. Does virtual reality training improve veterinary students’ first canine surgical performance?. Vet Rec. 2020;30:186.
    doi: 10.1136/vr.105749pubmed: 32188768google scholar: lookup
  6. Ells Z., Ludwig V., Weiner A.B., Kimura K., Farolfi A., Chamie K., Shirk J., Donin N.M., Reiter R., Czernin J.. A free method for patient-specific 3D-VR anatomical modeling for presurgical planning using DICOM images and open-source software.. Methods 2025;236:10–16.
    doi: 10.1016/j.ymeth.2025.02.006pubmed: 39988309google scholar: lookup
  7. Pearlstein K.E., Simmons-Ehrhardt T., Spatola B.F., Means B.K., Mani M.R.. Modernizing Medical Museums Through the 3D Digitization of Pathological Specimens. Advances in Experimental Medicine and Biology Springer; Berlin/Heidelberg, Germany: 2021; pp. 181–204.
    doi: 10.1007/978-3-030-76951-2_9pubmed: 34476750google scholar: lookup
  8. Mikami B.S., Hynd T.E., Lee U.Y., DeMeo J., Thompson J.D., Sokiranski R., Doll S., Lozanoff S.. Extended reality visualization of medical museum specimens: Online presentation of conjoined twins curated by Dr. Jacob Henle between 1844–1852.. Transl. Res. Anat. 2022;27:100171.
    doi: 10.1016/j.tria.2022.100171pmc: PMC9489256pubmed: 36133355google scholar: lookup
  9. Pezzanite L., Contino E., Kawcak C.. Lameness originating from the proximal metacarpus/tarsus: A review of local analgesic techniques and clinical diagnostic findings.. Equine Vet. Educ. 2020;32:204–217.
    doi: 10.1111/eve.12904google scholar: lookup
  10. Murray R.C., Tranquille C.A., Walker V.A., Milmine R.C., Bak L., Tacey J.B., Bolas N.M.. Magnetic Resonance Imaging Findings in the Proximal Metacarpal Region of 359 Horses and Proximal Metatarsal Region of 64 Horses Acquired Under Standing Sedation.. J. Equine Vet. Sci. 2020;94:103268.
    doi: 10.1016/j.jevs.2020.103268pubmed: 33077090google scholar: lookup
  11. Słowiński J., Roszak M., Krawiec K., Henklewski R., Jamroziak K.. Numerical Analysis of Stabilization of a Horse’s Third Metacarpal Bone Fracture for Prediction of the Possibility of Bone Union.. Appl. Sci. 2024;14:7976.
    doi: 10.3390/app14177976google scholar: lookup
  12. Smith R.K.W.. Treatment of tendinopathies.. Equine Vet. Educ. 2024;36:659–672.
    doi: 10.1111/eve.13987google scholar: lookup
  13. Pluim M., Martens A., Vanderperren K., Sarrazin S., Koene M., Luciani A., van Weeren P.R., Delesalle C.. Short- and long term follow-up of 150 sports horses diagnosed with tendinopathy or desmopathy by ultrasonographic examination and treated with high-power laser therapy.. Res. Vet. Sci. 2018;119:232–238.
    doi: 10.1016/j.rvsc.2018.06.003pubmed: 30005398google scholar: lookup
  14. Pagliara E., Pasinato A., Valazza A., Riccio B., Cantatore F., Terzini M., Putame G., Parrilli A., Sartori M., Fini M.. Multibody Computer Model of the Entire Equine Forelimb Simulates Forces Causing Catastrophic Fractures of the Carpus during a Traditional Race.. Animals 2022;12:737.
    doi: 10.3390/ani12060737pmc: PMC8944875pubmed: 35327134google scholar: lookup
  15. Lee A.K.K., Uhl E.W., Osborn M.L.. Construction of a realistic, whole-body, three-dimensional equine skeletal model using computed tomography data.. J. Vis. Exp. 2021;2021:e62276.
    doi: 10.3791/62276pubmed: 33720143google scholar: lookup
  16. De Alcântara Leite Dos Reis D, Gouveia B.L.R., Júnior J.C.R., De Assis Neto A.C.. Comparative assessment of anatomical details of thoracic limb bones of a horse to that of models produced via scanning and 3D printing.. 3D Print Med 2019;5:13.
    doi: 10.1186/s41205-019-0050-2pmc: PMC6743042pubmed: 31375944google scholar: lookup
  17. Rodrigues K.E.M., Lucas K.D.A., Cordeiro A.L.L., Silva R.P.M., De Araújo Santos F.G., De Carvalho Y.K.. 3D models of nonunion fractures in long bones as education tools.. Rev. Bras. Med. Vet. 2021;43:e114820.
  18. Sora M.C., von Horst C., López-Albors O., Latorre R.. Ultra-thin sectioning and grinding of epoxy plastinated tissue.. J. Vet. Med. C Anat. Histol. Embryol. 2019;48:564–571.
    doi: 10.1111/ahe.12478pubmed: 31487077google scholar: lookup
  19. Sora C., Erman G., Boia M., Matusz P., Sas I.. Three Dimensional Reconstruction and Modeling of Complex Pelvic Anatomical Structures by Using Plastinated Cross Sections.. Mater. Plast. 2015;52:381–384.
  20. Denoix J.M.. Functional anatomy of tendons and ligaments in the distal limbs (manus and pes). Vet. Clin. N. Am. Equine Pract. 1994;10:273–322.
    doi: 10.1016/S0749-0739(17)30358-9pubmed: 7987720google scholar: lookup
  21. Leach D., Harland R., Burko B.. The anatomy of the carpal tendon sheath of the horse.. J. Anat. 1981;133:301–307.
    pmc: PMC1167672pubmed: 7333955
  22. Skalec A., Egerbacher M.. The deep fascia and retinacula of the equine forelimb—Structure and innervation.. J. Anat. 2017;231:405–416.
    doi: 10.1111/joa.12643pmc: PMC5554827pubmed: 28585281google scholar: lookup
  23. Nagy A., Dyson S.. Anatomical, magnetic resonance imaging and histological findings in the accessory ligament of the deep digital flexor tendon of forelimbs in nonlame horses.. Equine Vet. J. 2011;43:309–316.
  24. Eren G., López-Albors O., Guilabert Segura R., Jordan Montesinos J., Latorre R.. Accessory Ligament of the Deep Digital Flexor Tendon of the Horse Forelimb and Its Relationship with the Superficial Digital Flexor Tendon: A Plastination, Histological, and Morphometry Study.. Animals 2024;14:2952.
    doi: 10.3390/ani14202952pmc: PMC11503822pubmed: 39457884google scholar: lookup
  25. Mariño Gutierrez L., Meseguer M.A., Baquero M.. The relevance of anatomical specimens in the teaching of Pathology.. Rev. Esp. Patol. Ediciones Doyma. 2019;52:103–111.
    doi: 10.1016/j.patol.2018.10.003pubmed: 30902373google scholar: lookup
  26. Witte S., Dedman C., Harriss F., Kelly G., Chang Y.M., Witte T.H.. Comparison of treatment outcomes for superficial digital flexor tendonitis in National Hunt racehorses.. Vet. J. 2016;216:157–163.
    doi: 10.1016/j.tvjl.2016.08.003pubmed: 27687944google scholar: lookup
  27. Garrett K.S.. When radiography and ultrasonography are not enough: The use of computed tomography and magnetic resonance imaging for equine lameness cases.. J. Am. Vet. Med. Assoc. 2022;260:1113–1123.
    doi: 10.2460/javma.22.03.0136pubmed: 35544423google scholar: lookup
  28. Hood D.M., Grosenbaugh D.A., Mostafa M.B., Morgan S.J., Thomas MSLS B.C.. The Role of Vascular Mechanisms in the Development of Acute Equine Laminitis.. J. Vet. Intern. Med. 1993;7:228–234.
  29. Cochard T., Toal R.L., Saxton A.M.. Doppler ultrasonographic features of thoracic limb arteries in clinically normal horses.. Am. J. Vet. Res. 2000;61:183–190.
    doi: 10.2460/ajvr.2000.61.183pubmed: 10685691google scholar: lookup
  30. Pellegrini D.Z., Müller T.R., Fonteque J.H., de Souza L.P., de Souza A.F., Joaquim J.G.F.. Equine acupuncture methods and applications: A review.. Equine Vet. Educ. 2020;32:268–277.
    doi: 10.1111/eve.12928google scholar: lookup
  31. Ahmed W, Kulikowska M, Ahlmann T, Berg LC, Harrison AP, Elbrønd VS. A comparative multi-site and whole-body assessment of fascia in the horse and dog: A detailed histological investigation.. J. Anat. 2019;235:1065–1077.
    doi: 10.1111/joa.13064pmc: PMC6875949pubmed: 31402460google scholar: lookup
  32. Chen W, Kuniewicz M, Aminu AJ, Karaesmen I, Duong N, Proniewska K, van Dam P, Iles TL, Hołda MK, Walocha J. High-resolution 3D visualization of human hearts with emphases on the cardiac conduction system components-a new platform for medical education, mix/virtual reality, computational simulation.. Front. Med. 2025;12:1507005.
    doi: 10.3389/fmed.2025.1507005pmc: PMC11878103pubmed: 40041464google scholar: lookup
  33. Guyomarc’h P, Santos F, Dutailly B, Desbarats P, Bou C, Coqueugniot H. Three-dimensional computer-assisted craniometrics: A comparison of the uncertainty in measurement induced by surface reconstruction performed by two computer programs.. Forensic Sci. Int. 2012;219:221–227.
  34. Martin CM, Roach VA, Nguyen N, Rice CL, Wilson TD. Comparison of 3D reconstructive technologies used for morphometric research and the translation of knowledge using a decision matrix.. Anat. Sci. Educ. 2013;6:393–403.
    doi: 10.1002/ase.1367pubmed: 23633266google scholar: lookup
  35. Schmutz B, Wullschleger ME, Schuetz MA. The effect of CT slice spacing on the geometry of 3D models. Proceedings of the 6th Australasian Biomechanics Conference The University of Auckland; Auckland, New Zealand: 2007; pp. 93–94.
  36. Ahmed M, Garzanich M, Melaragno LE, Nyirjesy S, Windheim NV, Marquardt M, Luttrull M, Quails N, VanKoevering KK. Exploring CT pixel and voxel size effect on anatomic modeling in mandibular reconstruction.. 3D Print Med. 2024;10:21.
    doi: 10.1186/s41205-024-00223-0pmc: PMC11202317pubmed: 38922481google scholar: lookup
  37. Hunter A. Thiel Plastination Improving the Aesthetics and Flexibility of Traditional Plastinated Specimens Thiel Plastination: Improving the Aesthetics and Flexibility of Traditional Plastinated Specimens.. Ph.D. Thesis. University of Dundee; Dundee, UK: 2019.

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