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Home / Equine Research Bank / Sci Data / Dataset on equine cartilage near infrared spectra, compositi...
Scientific data2019; 6(1); 164; doi: 10.1038/s41597-019-0170-y

Dataset on equine cartilage near infrared spectra, composition, and functional properties.

Abstract: Near infrared (NIR) spectroscopy is a well-established technique that is widely employed in agriculture, chemometrics, and pharmaceutical engineering. Recently, the technique has shown potential in clinical orthopaedic applications, for example, assisting in the diagnosis of various knee-related diseases (e.g., osteoarthritis) and their pathologies. NIR spectroscopy (NIRS) could be especially useful for determining the integrity and condition of articular cartilage, as the current arthroscopic diagnostics is subjective and unreliable. In this work, we present an extensive dataset of NIRS measurements for evaluating the condition, mechanical properties, structure, and composition of equine articular cartilage. The dataset contains NIRS measurements from 869 different locations across the articular surfaces of five equine fetlock joints. A comprehensive library of reference values for each measurement location is also provided, including results from a mechanical indentation testing, digital densitometry imaging, polarized light microscopy, and Fourier transform infrared spectroscopy. The published data can either be used as a model of human cartilage or to advance equine veterinary research.
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Publication Date: 2019-08-30 PubMed ID: 31471536PubMed Central: PMC6717194DOI: 10.1038/s41597-019-0170-yGoogle Scholar: Lookup
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  • Non-U.S. Gov't

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.

This research paper introduces a comprehensive dataset comprising near infrared spectroscopy (NIRS) measurements, which can aid in analyzing the conditions, structure, mechanical properties, and composition of equine articular cartilage. This data could help fuel advancements in equine veterinary research or serve as a model for human cartilage.

Understanding the Research

  • The core of this research revolves around Near-Infrared (NIR) Spectroscopy, a widely used technique in various fields such as agriculture, chemometrics, and pharmaceutical engineering. In more recent years, the technique is showing potential in clinical orthopedic applications, including the diagnosis of knee-related conditions like osteoarthritis, among others.
  • This research introduces a comprehensive dataset collected using NIR spectroscopy for the purpose of evaluating the condition, structure, composition, and mechanical properties of articular cartilage in horses. Particular emphasis is given to the applicability and potential usefulness of NIRS in providing a more reliable source of diagnostic data for articular cartilage, given that the currently used arthroscopic diagnostics have been found to be subjective and, therefore, unreliable.

Dataset and Reference Values

  • The dataset in the research contains NIR spectroscopy measurements obtained from 869 distinct locations across the articular surfaces of five equine fetlock joints. These multiple measurements from various locations, taken together, provide an encompassing view and understanding of the cartilage conditions.
  • In addition to the NIRS measurements, reference values for each measured location are also provided as part of this research dataset. These reference values include results from a variety of different testing and imaging techniques such as mechanical indentation testing, Fourier transform infrared spectroscopy, digital densitometry imaging, and polarized light microscopy.

Utility of the Research

  • One of the key utilities of this research and the resulting extensive dataset is its applicability in equine veterinary research. The comprehensive dataset can help veterinary researchers assess the condition and properties of equine cartilage more reliably and accurately.
  • In addition to its use in veterinary research, this dataset can also serve as an analogue or model for human cartilage. The NIRS measurements and the results derived from these measurements can assist in human orthopedic applications, potentially improving diagnostics and therefore leading to better treatment strategies.

Cite This Article

APA
Sarin JK, Torniainen J, Prakash M, Rieppo L, Afara IO, Töyräs J. (2019). Dataset on equine cartilage near infrared spectra, composition, and functional properties. Sci Data, 6(1), 164. https://doi.org/10.1038/s41597-019-0170-y

Publication

Scientific data
ISSN: 2052-4463
NlmUniqueID: 101640192
Country: England
Language: English
Volume: 6
Issue: 1
Pages: 164
PII: 164

Researcher Affiliations

Sarin, Jaakko K
  • Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. jaakko.sarin@uef.fi.
  • Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland. jaakko.sarin@uef.fi.
Torniainen, Jari
  • Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. jari.torniainen@uef.fi.
  • Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland. jari.torniainen@uef.fi.
Prakash, Mithilesh
  • Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
  • Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
  • A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Rieppo, Lassi
  • Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Afara, Isaac O
  • Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Töyräs, Juha
  • Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
  • Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
  • School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia.

MeSH Terms

  • Animals
  • Biomechanical Phenomena
  • Cartilage, Articular / physiology
  • Horses
  • Osteoarthritis / veterinary
  • Spectroscopy, Near-Infrared

Grant Funding

  • 5203111 / Kuopion Yliopistollinen Sairaala (Kuopio University Hospital)
  • 5041778 / Kuopion Yliopistollinen Sairaala (Kuopio University Hospital)
  • 8193 / Tekniikan Edistämissäätiö (Finnish Foundation for Technology Promotion)
  • 310466 / Academy of Finland (Suomen Akatemia)

Conflict of Interest Statement

The authors declare no competing interests.

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Citations

This article has been cited 4 times.
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