Analyze Diet
Equine veterinary journal2026; doi: 10.1002/evj.70174

Lacrimal caruncula thermography overestimates rectal temperature in horses: Influence of camera type and measurement distance.

Abstract: Rectal temperature (RT) is the gold standard for assessing body temperature in horses, but handling and welfare concerns limit its use. Thermography of the lacrimal caruncula (LC) has been proposed as a noncontact alternative, although its accuracy may be influenced by device characteristics and measurement distance. Objective: To evaluate agreement between LC thermography and RT in horses, compare two infrared thermal cameras and determine the effect of camera-to-subject distance on measurement bias and variability. Methods: LC temperature was recorded at 0.5, 1 and 2 using two cameras (IR FlexCam S and UNI-T UTi165A). Eighty-four healthy Thoroughbreds contributed three measurements per camera. Agreement between LC and RT was evaluated using Bland-Altman analysis (bias and limits of agreement, LoA). Linear regression of the difference versus mean temperature assessed proportional bias. Results: Both cameras produced higher LC values than RT at all distances, and agreement decreased as distance increased. For FlexCam, biases were 3.75°C at 0.5 m, 3.71°C at 1 m and 5.28°C at 2 m. LoA widened from 1.06-6.44°C at 0.5 m to 1.23-9.33°C at 2 m. For UTi165A, biases were 2.97°C at 0.5 m, 3.85°C at 1 m and 5.21°C at 2 m, with LoA from 0.86-5.08°C at 0.5 m to 2.04-8.39°C at 2 m. Negative regression slopes indicated proportional bias for both devices. Conclusions: The indoor setting, evaluation of a single anatomical site and inclusion of only healthy Thoroughbreds limit generalisability. Only two camera systems were assessed. Conclusions: UTi165A showed narrower LoA and better repeatability at 0.5 m but did not demonstrate agreement sufficient to replace RT. Short acquisition distances, device selection and standardised protocols are essential if LC thermography is to be used as a screening adjunct in equine practice.
Publication Date: 2026-05-09 PubMed ID: 42104876DOI: 10.1002/evj.70174Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • 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.

Overview

  • This study investigated whether measuring the temperature of the lacrimal caruncula (a small area near a horse’s eye) with infrared thermography can accurately estimate rectal temperature, the gold standard for body temperature in horses.
  • The research compared two types of infrared cameras and examined how the distance between the camera and horse affected temperature accuracy.

Background and Motivation

  • Rectal temperature (RT) measurement is considered the most reliable method to assess body temperature in horses but involves physical handling, which may affect welfare and practical usability.
  • Infrared thermography of the lacrimal caruncula (LC) offers a noncontact way to estimate temperature but may be less accurate depending on device and method.
  • There was a need to systematically evaluate the agreement between LC thermography and rectal temperature and the impact of factors like camera type and measurement distance.

Study Objectives

  • Assess agreement between LC thermography and rectal temperature in horses.
  • Compare two infrared thermal cameras (IR FlexCam S and UNI-T UTi165A) for accuracy.
  • Determine how camera-to-subject distance (0.5, 1, and 2 meters) influences measurement bias and variability.

Methods

  • Participants: 84 healthy Thoroughbred horses were used, with three temperature measurements taken per camera per horse.
  • Measurements: LC temperature recorded at three distances (0.5 m, 1 m, 2 m) for both cameras.
  • Analysis:
    • Agreement between LC temperatures and rectal temperatures was assessed using Bland-Altman analysis to identify mean bias (difference) and limits of agreement (LoA).
    • Linear regression was performed to detect proportional bias by analyzing the relationship between measurement differences and mean temperature.

Key Findings

  • Both cameras consistently overestimated temperature at the lacrimal caruncula compared to rectal temperature.
  • Bias increased with greater camera distance from the subject:
    • IR FlexCam S biases: 3.75°C (0.5 m), 3.71°C (1 m), 5.28°C (2 m).
    • UNI-T UTi165A biases: 2.97°C (0.5 m), 3.85°C (1 m), 5.21°C (2 m).
  • Limits of agreement widened as distance increased, indicating greater variability and less precision at farther distances.
  • Negative regression slopes indicated proportional bias for both devices, meaning the degree of overestimation varied depending on temperature levels.
  • The UTi165A camera demonstrated narrower limits of agreement and better repeatability at the shortest distance (0.5 m) compared to the FlexCam.

Conclusions and Implications

  • LC thermography overestimates the rectal temperature in horses, and this overestimation worsens as the camera moves farther from the subject.
  • Although the UTi165A showed better accuracy and consistency at close range, neither camera achieved agreement sufficient to replace rectal temperature measurements.
  • For LC thermography to be useful as a practical screening tool in equine veterinary practice, careful selection of the thermal camera, short measurement distances, and standardized measurement protocols are necessary.
  • Limitations:
    • Study was conducted indoors, limiting real-world environmental variation assessment.
    • Only one anatomical site (lacrimal caruncula) was used for thermography measurements.
    • Only healthy Thoroughbred horses were included, which limits generalizability to other breeds or horses with health issues.
    • Only two thermal camera models were tested, so findings may not extrapolate to other devices.

Overall Significance

  • This research highlights the challenges and limitations of using infrared thermography at the lacrimal caruncula as a noninvasive proxy for core body temperature in horses.
  • It provides valuable guidance on the impact of device choice and measurement distance, emphasizing the need for standardization to improve accuracy and repeatability in clinical or field settings.
  • Further research could explore other anatomical sites, additional camera models, and include horses with various health statuses to improve robustness and applicability.

Cite This Article

APA
Orhun ÖT, Turgut F, Okur S, Arslan T, Yanmaz LE. (2026). Lacrimal caruncula thermography overestimates rectal temperature in horses: Influence of camera type and measurement distance. Equine Vet J. https://doi.org/10.1002/evj.70174

Publication

ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English

Researcher Affiliations

Orhun, Ömer Tarık
  • Faculty of Veterinary Medicine, Department of Surgery, Necmettin Erbakan University, Konya, Turkey.
Turgut, Ferda
  • Faculty of Veterinary Medicine, Department of Surgery, Cukurova University, Adana, Turkey.
Okur, Sıtkıcan
  • Faculty of Veterinary Medicine, Department of Surgery, Atatürk University, Erzurum, Turkey.
Arslan, Taner
  • Faculty of Veterinary Medicine, Department of Surgery, Atatürk University, Erzurum, Turkey.
Yanmaz, Latif Emrah
  • Faculty of Veterinary Medicine, Department of Surgery, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.

References

This article includes 23 references
  1. Hall EJ, Carter AJ, Stevenson AG, Hall C. Establishing a yard‐specific normal rectal temperature reference range for horses.. J Equine Vet Sci 2019;74:51–55.
  2. Lampang KN, Isawirodom A, Rungsri P. Correlation and agreement between infrared thermography and a thermometer for equine body temperature measurements.. Vet World 2023;16(12):2464–2470.
  3. Kang H, Zsoldos RR, Skinner JE, Gaughan JB, Mellor VA, Sole‐Guitart A. The use of percutaneous thermal sensing microchips to measure body temperature in horses during and after exercise using three different cool‐down methods.. Animals 2022;12(10):1267.
  4. Aragona F, Rizzo M, Arfuso F, Acri G, Fazio F, Piccione G. Eye temperature measured with infrared thermography to assess stress responses to road transport in horses.. Animals 2024;14(13):1877.
  5. Zobrist CN, Bishop RC, McCoy AM. Noncontact infrared thermometer measurements offer a reasonable alternative to rectal temperature measurement in afebrile horses.. J Am Vet Med Assoc 2024;262(6):791–797.
  6. Kim SM, Cho GJ. Validation of eye temperature assessed using infrared thermography as an indicator of welfare in horses.. Appl Sci 2021;11(16):7186.
  7. da Silva TCS, de Albuquerque Mariz TM, Escodro PB. Use of thermography in clinical and sports evaluations of equine animals: a review.. Res Soc Dev 2022;11(8):e13911530532.
  8. Soroko M, Howell K, Zwyrzykowska A, Dudek K, Zielińska P, Kupczyński R. Maximum eye temperature in the assessment of training in racehorses: correlations with salivary cortisol concentration, rectal temperature, and heart rate.. J Equine Vet Sci 2016;45:39–45.
  9. Johnson SR, Rao S, Hussey SB, Morley PS, Traub‐Dargatz JL. Thermographic eye temperature as an index to body temperature in ponies.. J Equine Vet Sci 2011;31(2):63–66.
  10. Pan D, Mo T, Jiang Z, Duan Y, Li Z, Maldague X. Interference factors and compensation methods when using infrared thermography for temperature measurement: a review.. IEEE Trans Instrum Meas 2025;74:1–15.
  11. Riquet D, Stubbe L, Gaillard L, Mouhoubi K, Bodnar J, Houel N. Influence of infrared camera resolution and operator reproducibility in the assessment of skin temperature of the hands.. Case Stud Therm Eng 2025;74:106956.
  12. Church JS, Hegadoren PR, Paetkau MJ, Miller CC, Regev‐Shoshani G, Schaefer AL. Influence of environmental factors on infrared eye temperature measurements in cattle.. Res Vet Sci 2014;96(1):220–226.
  13. Shao D, Liu C, Tsow F. Noncontact physiological measurement using a camera: a technical review and future directions.. ACS Sens 2020;6(2):321–334.
  14. Machado ÁS, Cañada‐Soriano M, Jimenez‐Perez I, Gil‐Calvo M, Carpes FP, Perez‐Soriano P. Distance and camera features measurements affect the detection of temperature asymmetries using infrared thermography.. Quant InfraRed Thermogr J 2024;21(2):69–81.
  15. Zhang YC, Chen YM, Fu XB, Luo C. A method for reducing the influence of measuring distance on infrared thermal imager temperature measurement accuracy.. Appl Therm Eng 2016;100:1095–1101.
  16. Stewart M, Webster JR, Schaefer AL, Cook NJ, Scott SL. Infrared thermography as a non‐invasive tool to study animal welfare.. Anim Welf 2005;14(4):319–325.
  17. Okur S, Yanmaz LE, Bedir AG, Şenocak MG, Ersoz U, Orhun ÖT. The effectiveness of thermography in determining localization of orthopedic diseases in horses.. Van Vet J 2023;34(1):51–54.
    doi: 10.36483/vanvetj.1217002google scholar: lookup
  18. Verdegaal ELJ, Howarth GS, McWhorter TJ, Delesalle CJ. Thermoregulation during field exercise in horses using skin temperature monitoring.. Animals 2023;14(1):136.
  19. Alberghina D, Tombolani C, Quintavalla F. Performance of a non‐contact veterinary infrared thermometer and reference intervals of equine temperature at different body sites.. Front Vet Sci 2025;12:1583839.
  20. Easterwood L, Cohen ND. Agreement of temperatures measured using a non‐contact infrared thermometer with a rectal digital thermometer in horses.. J Equine Vet Sci 2023;123:104243.
  21. Hodgson DR, McGowan CM, McKeever KH. The athletic horse: principles and practice of equine sports medicine.. St. Louis, MI: Elsevier Health Sciences; 2013.
  22. Zhou Y, Ghassemi P, Chen M, McBride D, Casamento JP, Pfefer TJ. Clinical evaluation of fever‐screening thermography: impact of consensus guidelines and facial measurement location.. J Biomed Opt 2020;25(9):097002.
  23. Travain T, Valsecchi P. Infrared thermography in the study of animals' emotional responses: a critical review.. Animals 2021;11(9):2510.

Citations

This article has been cited 0 times.