Characterization of Normal Bone in the Equine Distal Limb with Effective Atomic Number and Electron Density Determined with Single-Source Dual Energy and Detector-Based Spectral Computed Tomography.
- Journal Article
Summary
This study uses emerging technologies, considered Single-source Dual Energy (SSDECT) and Detector-Based Spectral Computed Tomography (DBSCT), to examine the composition and cellularity of horse bone tissue. The research found certain key differences in effective atomic number and electron density values in different zones of the equine bone, highlighting their potential use in future disease diagnosis and classification.
Understanding the Research
The research involved the use of two emerging technologies – Single-source Dual Energy (SSDECT) and Detector-Based Spectral Computed Tomography (DBSCT). These technologies have the capacity to investigate materials possessing differing attenuation properties at various energy levels.
Key to this research are the concepts of Effective Atomic Number (EAN) and Electron Density (ED). EAN serves as an index to identify tissue composition, while ED is associated with cellularity in tissues.
Through the research, EAN and ED values were identified for distinct zones in the subchondral and trabecular bone of 37 equine cadaver limbs.
Main Findings
The research yielded several noteworthy findings:
- The EAN zone values in the fetlock (a joint area in the horse leg) increased noticeably with the horse’s age.
- EAN and ED values were significantly lower in trabecular bone compared to subchondral bone – these are two specific types of bone comprising different parts of the bone structure.
- Most EAN and ED values were significantly lesser in the distal phalanx, and navicular bone as compared to the proximal and middle phalanx. These areas represent different sections of the horse’s foot.
- Differences were also observed in EAN and ED values between front and hind limbs of the horse.
- The application of SSDECT and DBSCT resulted in differing EAN and ED values, indicating differences in the two methodologies.
Implications and Future Applications
The EAN and ED values discovered through this research can serve as initial reference values to aid future studies. Moreover, these findings could also be potentially helpful in the assessment and classification of bone diseases. Observing these changes in bone tissue characteristics may provide valuable insights into the underlying cause of various bone conditions in equines.
Cite This Article
Publication
Researcher Affiliations
- Clinic of Diagnostic Imaging, Vetsuisse Faculty, University of Zurich, 8057 Zurich, Switzerland.
- Clinic of Diagnostic Imaging, Vetsuisse Faculty, University of Zurich, 8057 Zurich, Switzerland.
- Effectum Medical AG, 4600 Olten, Switzerland.
- Clinic of Diagnostic Imaging, Vetsuisse Faculty, University of Zurich, 8057 Zurich, Switzerland.
Conflict of Interest Statement
References
- McCollough CH, Leng S, Yu L, Fletcher JG. Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications. Radiology 2015;276:637–653.
- Goo HW, Goo JM. Dual-Energy CT: New Horizon in Medical Imaging. Korean J. Radiol. 2017;18:555–569.
- Chakrabarti R, Gupta V, Vyas S, Gupta K, Singh V. Correlation of dual energy computed tomography electron density measurements with cerebral glioma grade. Neuroradiol. J. 2022;35:352–362.
- Garcia LIR, Pérez Azorin JF, Almansa JF. A new method to measure electron density and effective atomic number using dual-energy CT images. Phys. Med. Biol. 2016;61:265–279.
- Henriksen T, Baarli J. The effective atomic number. Radiat. Res. 1957;6:415–423.
- Kaichi Y, Tatsugami F, Nakamura Y, Baba Y, Iida M, Higaki T, Kiguchi M, Tsushima S, Yamasaki F, Amatya VJ. Improved differentiation between high- and low-grade gliomas by combining dual-energy CT analysis and perfusion CT. Medicine 2018;97:e11670.
- Tatsugami F, Higaki T, Kiguchi M, Tsushima S, Taniguchi A, Kaichi Y, Yamagami T, Awai K. Measurement of electron density and effective atomic number by dual-energy scan using a 320-detector computed tomography scanner with raw data-based analysis: A phantom study. J. Comput. Assist. Tomogr. 2014;38:824–827.
- Kulkarni NM, Eisner BH, Pinho DF, Joshi MC, Kambadakone AR, Sahani DV. Determination of renal stone composition in phantom and patients using single-source dual-energy computed tomography. J. Comput. Assist. Tomogr. 2013;37:37–45.
- Salameh JP, McInnes MDF, McGrath TA, Salameh G, Schieda N. Diagnostic Accuracy of Dual-Energy CT for Evaluation of Renal Masses: Systematic Review and Meta-Analysis. Am. J. Roentgenol. 2019;212:W100–W105.
- Shinohara Y, Sakamoto M, Kuya K, Kishimoto J, Iwata N, Ohta Y, Fujii S, Watanabe T, Ogawa T. Assessment of carotid plaque composition using fast-kV switching dual-energy CT with gemstone detector: Comparison with extracorporeal and virtual histology-intravascular ultrasound. Neuroradiology 2015;57:889–895.
- Nakajima S, Ito H, Mitsuhashi T, Kubo Y, Matsui K, Tanaka I, Fukui R, Omori H, Nakaoka T, Sakura H. Clinical application of effective atomic number for classifying non-calcified coronary plaques by dual-energy computed tomography. Atherosclerosis 2017;261:138–143.
- Hünemohr N, Krauss B, Tremmel C, Ackermann B, Jäkel O, Greilich S. Experimental verification of ion stopping power prediction from dual energy CT data in tissue surrogates. Phys. Med. Biol. 2014;59:83–96.
- Onishi S, Fujioka C, Kaichi Y, Amatya VJ, Ishifuro M, Takeshima Y, Awai K, Sugiyama K, Kurisu K, Yamasaki F. Utility of dual-energy CT for predicting the vascularity of meningiomas. Eur. J. Radiol. 2020;123:108790.
- Nagano H, Takumi K, Nakajo M, Fukukura Y, Kumagae Y, Jinguji M, Tani A, Yoshiura T. Dual-Energy CT-Derived Electron Density for Diagnosing Metastatic Mediastinal Lymph Nodes in Non-Small Cell Lung Cancer: Comparison With Conventional CT and FDG PET/CT Findings. Am. J. Roentgenol. 2022;218:66–74.
- Bae K, Jeon KN. Diagnosis of Pulmonary Embolism in Unenhanced Dual Energy CT Using an Electron Density Image. Diagnostics 2021;11:1841.
- Nelles C, Lennartz S. Spinal Hematoma Visualized with Dual-energy CT-derived Electron Density Overlay Maps. Radiology 2023;307:e222680.
- Ognard J, Bourhis D, Cadieu R, Grenier M, Saccardy C, Alavi Z, Salem DB. Feasibility of use of medical dual energy scanner for forensic detection and characterization of explosives, a phantom study. Int. J. Legal Med. 2020;134:1915–1925.
- Shim E, Kim BH, Kang WY, Hong SJ, Kang CH, Ahn KS, Lee H, Kwack TJ. Diagnostic performance of electron-density dual-energy CT in detection of cervical disc herniation in comparison with standard gray-scale CT and virtual non-calcium images. Eur. Radiol. 2022;32:2209–2220.
- Pascart T, Norberciak L, Legrand J, Becce F, Budzik JF. Dual-energy computed tomography in calcium pyrophosphate deposition: Initial clinical experience. Osteoarthr. Cartil. 2019;27:1309–1314.
- Faulkner JE, Broeckx BJG, Martens A, Raes E, Haardt H, Vanderperren K. Single energy metal artifact reduction performs better than virtual monoenergetic dual-energy reconstruction in CT of the equine proximal phalanx. Vet. Radiol. Ultrasound. 2023;64:677–685.
- Nykamp SG. Dual-energy computed tomography of canine uroliths. Am. J. Vet. Res. 2017;78:1150–1155.
- Eisenbarth JM, Gauntt DM, Rivas AE. Dual-Energy Computed Tomography for Diagnosis and Monitoring Attempted Medical Management of a Large Urate Urolith in a Desert Tortoise (Gopherus agassizii). J. Herpetol. Med. Surg. 2022;32:26–34.
- Germonpré J, Vandekerckhove LMJ, Raes E, Chiers K, Jans L, Vanderperren K. Post-mortem feasibility of dual-energy computed tomography in the detection of bone edema-like lesions in the equine foot: A proof of concept. Front. Vet. Sci. 2024;10:1201017.
- Smith MRW, Kawcak CE, McIlwraith CW. Science in brief: Report on the Havemeyer Foundation workshop on subchondral bone problems in the equine athlete. Equine Vet. J. 2016;48:6–8.
- Martig S, Chen W, Lee PVS, Whitton RC. Bone fatigue and its implications for injuries in racehorses. Equine Vet. J. 2014;46:408–415.
- Zeinali-Rafsanjani B, Faghihi R, Mosleh-Shirazi MA, Saeedi-Moghadam M, Jalli R, Sina S. Effect of age-dependent bone electron density on the calculated dose distribution from kilovoltage and megavoltage photon and electron radiotherapy in paediatric MRI-only treatment planning. Br. J. Radiol. 2018;91:20170511.
- O’Hare LMS, Cox PG, Singer ER. Finite element analysis of stress in the equine proximal phalanx. Equine Vet. J. 2013;45:273–277.
- Brünisholz HP, Hagen R, Fürst AE, Kuemmerle JM. Radiographic and Computed Tomographic Configuration of Incomplete Proximal Fractures of the Proximal Phalanx in Horses Not Used for Racing. Vet. Surg. 2015;44:809–815.
- Stewart HL, Kawcak CE. The Importance of Subchondral Bone in the Pathophysiology of Osteoarthritis. Front. Vet. Sci. 2018;5:178.
- Borges AP, Antunes C, Curvo-Semedo L. Pros and Cons of Dual-Energy CT Systems: “One Does Not Fit All”. Tomography 2023;9:195–216.
- Pourvaziri A, Parakh A, Cao J, Locascio J, Eisner B, Sahani D, Kambadakone A. Comparison of Four Dual-Energy CT Scanner Technologies for Determining Renal Stone Composition: A Phantom Approach. Radiology 2022;304:580–589.
- Kawahara D, Ozawa S, Yokomachi K, Fujioka C, Kimura T, Awai K, Nagata Y. Synthesized effective atomic numbers for commercially available dual-energy CT. Rep. Pract. Oncol. Radiother. 2020;25:692–697.
- Santschi EM. Articular fetlock injuries in exercising horses. Vet. Clin. N. Am. Equine Pract. 2008;24:117–132.
- Omoumi P, Becce F, Racine D, Ott JG, Andreisek G, Verdun FR. Dual-Energy CT: Basic Principles, Technical Approaches, and Applications in Musculoskeletal Imaging (Part 1). Semin. Musculoskelet. Radiol. 2015;19:431–437.
- Gosangi B, Mandell JC, Weaver MJ, Uyeda JW, Smith SE, Sodickson AD, Khurana B. Bone Marrow Edema at Dual-Energy CT: A Game Changer in the Emergency Department. Radiographics 2020;40:859–874.
- International Commission on Radiation Units and Measurements. Tissue Substitutes in Radiation Dosimetry and Measurement, ICRU Report 44. 1st ed. ICRU; Bethesda, MD, USA: 1988. pp. 21–22, 37.
- Russo P. Handbook for X-ray Imaging: Physics and Technology. 1st ed. CRC Press; Boca Raton FL, USA: 2018. p. 1115.
- Hontoir F, Nisolle JF, Meurisse H, Simon V, Tallier M, Vanderstricht R, Antoine N, Piret J, Clegg P, Vandeweerd JM. A comparison of 3-T magnetic resonance imaging and computed tomography arthrography to identify structural cartilage defects of the fetlock joint in the horse. Vet. J. 2014;199:115–122.
- Johnston GCA, Ahern BJ, Palmieri C, Young AC. Imaging and Gross Pathological Appearance of Changes in the Parasagittal Grooves of Thoroughbred Racehorses. Animals 2021;11:3366.
- Englund M, Guermazi A, Roemer FW, Aliabadi MY, Lewis CE, Torner J, Nevitt MC, Sack B, Felson DT. Meniscal tear in knees without surgery and the development of radiographic osteoarthritis among middle-aged and elderly persons: The Multicenter Osteoarthritis Study. Arthritis Rheum. 2009;60:831–839.
- Noble P, Singer ER, Jeffery NS. Does subchondral bone of the equine proximal phalanx adapt to race training?. J. Anat. 2016;229:104–113.