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Animals : an open access journal from MDPI2023; 13(17); 2780; doi: 10.3390/ani13172780

Relationship between CT-Derived Bone Mineral Density and UTE-MR-Derived Porosity Index in Equine Third Metacarpal and Metatarsal Bones.

Abstract: Fatigue-related subchondral bone injuries of the third metacarpal/metatarsal (McIII/MtIII) bones are common causes of wastage, and they are welfare concerns in racehorses. A better understanding of bone health and strength would improve animal welfare and be of benefit for the racing industry. The porosity index (PI) is an indirect measure of osseous pore size and number in bones, and it is therefore an interesting indicator of bone strength. MRI of compact bone using traditional methods, even with short echo times, fail to generate enough signal to assess bone architecture as water protons are tightly bound. Ultra-short echo time (UTE) sequences aim to increase the amount of signal detected in equine McIII/MtIII condyles. Cadaver specimens were imaged using a novel dual-echo UTE MRI technique, and PI was calculated and validated against quantitative CT-derived bone mineral density (BMD) measures. BMD and PI are inversely correlated in equine distal Mc/MtIII bone, with a weak mean r value of -0.29. There is a statistically significant difference in r values between the forelimbs and hindlimbs. Further work is needed to assess how correlation patterns behave in different areas of bone and to evaluate PI in horses with and without clinically relevant stress injuries.
Publication Date: 2023-08-31 PubMed ID: 37685045PubMed Central: PMC10487176DOI: 10.3390/ani13172780Google Scholar: Lookup
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  • 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 researchers in this study are examining the relationship between bone mineral density (BMD) and porosity index (PI) in horse bones. They found an inverse correlation between BMD and PI in specific areas of the bones and identified a difference in this relationship between the forelimbs and hindlimbs.

Understanding the Methodology and Findings

  • In exploring fatigue-related bone injuries that are common in racehorses, the researchers identified the need for a better understanding of bone health and strength.
  • They focused on the porosity index (PI), a measurement related to the size and number of pores in bones. This value can serve as an indirect indicator of bone strength.
  • In their study, traditional methods for magnetic resonance imaging (MRI) of compact bone didn’t provide enough signal to assess bone structure because the water protons in bone are tightly bound.
  • They turned instead to ultra-short echo time (UTE) sequences, which are designed to increase signal detection — in this case, in the metacarpal and metatarsal bones (the long bones in a horse’s legs).
  • By applying a dual-echo UTE MRI technique to image cadaver specimens and calculating PI, the researchers were able to validate their findings against quantitative CT-derived BMD measures.
  • Their results indicated an inverse relationship between BMD and PI in the distal (lower) portions of the metacarpal/metatarsal bones, which means that as BMD goes up, PI goes down (and vice versa).
  • However, this correlation was weak overall, with a mean r value (a measure of correlation) of -0.29.
  • Importantly, they also discovered a statistically significant difference in these r values between forelimbs and hindlimbs.

Implications of the Study and Further Research

  • The weak inverse relationship between BMD and PI could have significant implications for improving animal welfare, particularly among racehorses.
  • This study’s findings could potentially be used to develop preventative measures to reduce bone fatigue injuries in these animals.
  • Given the difference in r values between forelimbs and hindlimbs, it’s possible that different areas of the bones react differently to stress and require unique approaches to injury prevention.
  • However, the researchers note that more analysis is needed. Specifically, they recommend further exploring how the correlation patterns between BMD and PI vary across different bone areas.
  • It’s also necessary to evaluate PI in horses with and without clinical stress injuries to better understand how PI might serve as an indicator of these conditions.

Cite This Article

APA
Daniel CR, Taylor SE, McPhee S, Wolfram U, Schwarz T, Sommer S, Kershaw LE. (2023). Relationship between CT-Derived Bone Mineral Density and UTE-MR-Derived Porosity Index in Equine Third Metacarpal and Metatarsal Bones. Animals (Basel), 13(17), 2780. https://doi.org/10.3390/ani13172780

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 13
Issue: 17
PII: 2780

Researcher Affiliations

Daniel, Carola Riccarda
  • Royal (Dick) School of Veterinary Studies, The Roslin Institute, The University of Edinburgh, Edinburgh EH25 9RG, UK.
Taylor, Sarah Elizabeth
  • Royal (Dick) School of Veterinary Studies, The Roslin Institute, The University of Edinburgh, Edinburgh EH25 9RG, UK.
McPhee, Samuel
  • Institute of Mechanical, Process and Energy Engineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK.
Wolfram, Uwe
  • Institute of Mechanical, Process and Energy Engineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK.
Schwarz, Tobias
  • Royal (Dick) School of Veterinary Studies, The Roslin Institute, The University of Edinburgh, Edinburgh EH25 9RG, UK.
Sommer, Stefan
  • Siemens Healthcare, 8047 Zurich, Switzerland.
  • Swiss Center for Musculoskeletal Imaging (SCMI), Balgrist Campus, 8008 Zurich, Switzerland.
  • Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare AG, 1015 Lausanne, Switzerland.
Kershaw, Lucy E
  • Centre for Cardiovascular Sciences and Edinburgh Imaging, The University of Edinburgh, Edinburgh EH16 4TJ, UK.

Grant Funding

  • VET/CS/028 / Horserace Betting Levy Board
  • IPA 42 / Siemens Healthcare Ltd

Conflict of Interest Statement

S.S. is employed by Siemens Healthineers. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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