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Reproduction in domestic animals = Zuchthygiene2024; 59 Suppl 3; e14614; doi: 10.1111/rda.14614

Development of an equine endometrial histology scoring system to complement the Kenney-Doig scale.

Abstract: Kenney-Doig scale is considered the international standard method for classifying uterine biopsies in mares; however, its objectivity has been questioned by various studies. In the present study, we analysed the degree of agreement between two pathologists when assessing the same set of 201 uterine biopsies, obtaining a slight to moderate level of agreement (κ = .34/κ = .57). Subsequently, we developed a numerical scale based on the evaluation of histological parameters, including inflammation, fibrosis, glandular density and lymphatic lacunae. Partial scores were summed to obtain a fifth parameter called Summation. The correlation between both scales was demonstrated (p < .0001), and their combined use resulted in a notable increase in the degree of agreement between the two pathologists (κ = .53/κ = .67).
Publication Date: 2024-10-14 PubMed ID: 39396872DOI: 10.1111/rda.14614Google Scholar: Lookup
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  • Journal Article

Summary

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The research article presents the development of a new scoring system for endometrial histology in horses to supplement the commonly used Kenney-Doig scale. The new scale takes into account a variety of histological parameters to provide a comprehensive evaluation of uterine biopsies in mares.

Understanding the Kenney-Doig scale

  • The Kenney-Doig scale is the standard method used for categorizing uterine biopsies in horses. It’s used to classify and predict the fertility of mares based on the condition of the endometrium.
  • However, its objectivity and the level of agreement among pathologists when using the scale have been questioned due to its subjective element. This has prompted the need for a supplement that will enhance reliability.

Gauging Agreement Among Pathologists

  • The researchers initially tested the degree of agreement among two pathologists analyzing the same set of 201 uterine biopsies.
  • The level of agreement was found to be between slight to moderate, indicating a considerable potential for discrepancy when assessing these biopsies, and therefore, a potential source of error in classification and prognosis.

Development of the New Scoring System

  • To improve the objectivity and agreement of biopsy assessments, the researchers developed a numerical scale based on the evaluation of histological parameters.
  • The parameters assessed included inflammation, fibrosis, glandular density, and lymphatic lacunae, which are all characteristic features of the endometrial tissue.
  • These partial scores were then summed to derive a fifth parameter dubbed ‘Summation’.

Comparison and Correlation with the Kenney-Doig scale

  • Upon using the new scoring system together with the Kenney-Doig scale, they found a strong correlation between both scales.
  • Incorporating the new scoring system led to a notable increase in the degree of agreement between the two pathologists. This implies that the new scale indeed complements the Kenney-Doig scale and can potentially reduce discrepancies in biopsy assessments.

Cite This Article

APA
Martínez-Bartolomé I, Masot J, Serres C. (2024). Development of an equine endometrial histology scoring system to complement the Kenney-Doig scale. Reprod Domest Anim, 59 Suppl 3, e14614. https://doi.org/10.1111/rda.14614

Publication

ISSN: 1439-0531
NlmUniqueID: 9015668
Country: Germany
Language: English
Volume: 59 Suppl 3
Pages: e14614

Researcher Affiliations

Martínez-Bartolomé, I
  • Animal Medicine and Surgery Department, Veterinary Faculty, UCM, Madrid, Spain.
Masot, J
  • Facultad de Veterinaria, UEX, Cáceres, Spain.
Serres, C
  • Animal Medicine and Surgery Department, Veterinary Faculty, UCM, Madrid, Spain.

MeSH Terms

  • Horses
  • Female
  • Animals
  • Endometrium / pathology
  • Biopsy / veterinary
  • Horse Diseases / pathology
  • Fibrosis / veterinary

Grant Funding

  • Yeguada de Ymas

References

This article includes 13 references
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