In the fields of health and sports performance, static infrared thermography has established itself as a useful tool for evaluating baseline conditions and detecting lateral thermal asymmetries. However, as researchers point out in the scientific literature, instantaneous static capture can present limitations when facing deep injuries or interference from subcutaneous adipose tissue, which could lead to false negatives.
To further explore a solution to this problem, a recent review paper published by Clara Carrión-González, Carlos Sendra-Pérez, Inmaculada Aparicio-Aparicio, and Jose Ignacio Priego-Quesada (2026) analyzes the role of Dynamic Infrared Thermography (dIRT). This method, based on applying controlled thermal stress (cold or heat), allows for the evaluation of the tissue's regulatory and vascular response over time, offering a much deeper functional perspective of human physiology.
Below, we break down the findings, methodologies, and applications reviewed by the authors in their research.
Fundamentals of Thermal Stress According to the Research
As Carrión-González and colleagues state, dynamic thermography does not solely measure the static thermal state of the skin ($T_{sk}$), but rather the temporal variation in temperature following a provoked stimulus.
When cold stress is applied (via water immersion, cooling plates, or cryotherapy systems), the sympathetic nervous system induces peripheral vasoconstriction. Upon removing the stimulus, the authors describe how a process of vasodilation and rewarming begins. The speed and pattern of this recovery—which follows a logarithmic curve, being fastest within the first 30 seconds—provide critical information regarding peripheral vascular capacity and heat transfer from deeper tissues.
Medical Applications Compiled in the Study
The authors' scientific review gathers abundant evidence on how dIRT reduces the risk of false negatives in the clinical setting, thanks to its sensitivity in reflecting microcirculation anomalies:
- Raynaud's Phenomenon and Vascular Disorders: The study cites protocols applied to hands where patients with Raynaud's or Hand-Arm Vibration Syndrome (HAVS) show incomplete or slowed recovery curves, utilizing parameters such as the Distal-Dorsal Gradient (DDD) for objective diagnosis.
- Diabetic Foot Assessment: The authors highlight research (such as that by Carbonell et al. or Balbinot et al.) where dIRT early reflects microvascular dysfunction in diabetic patients, who exhibit more severe thermal drops and significantly prolonged rewarming in the plantar region.
- Breast Cancer Detection: The review explains that malignant tumors generate atypical metabolic and angiogenesis patterns. By applying cold stress to the breast, dIRT amplifies the thermal contrast against the healthy contralateral breast, increasing diagnostic accuracy from 54% (in static) to 82% in dynamic.
Findings in Sports Science: Monitoring Muscle Damage
Although Carrión-González et al. point out that evidence for dIRT in sports is still limited compared to the clinical area, they highlight key studies demonstrating its potential to assess fatigue and tissue damage:
The Indicator of Post-Marathon Muscle Damage
The authors cite the study by Priego-Quesada et al. (2020) conducted on marathon runners. After applying a cold-stress test, it was discovered that athletes presented alterations in the logarithmic coefficients of thermal recovery in their legs 24 hours after the race. The relevance of this finding is that these physiological alterations were detected even when static baseline temperature appeared normal, proving that dIRT detects residual hemodynamic anomalies linked to muscle damage that static thermography fails to capture.
Influence of Exercise Type
Likewise, the chapter includes research on fatiguing strength exercise (Muñoz-Alcamí et al., 2021), concluding that acute exercise modifies the post-stress rewarming rate. This opens the door to using dIRT as an indirect method to assess skin blood flow and the athlete's local stress status.
Future of Research and Automation
The authors of the study emphasize the need to continue exploring dIRT under standardized criteria and integrating key biological variables:
- Gender and Age Perspective: The review underlines that women show greater thermal sensitivity and variations in core temperature depending on the phase of the menstrual cycle (luteal vs. follicular)—factors that must be standardized in future research.
- Software and Machine Learning Algorithms: To optimize analysis times, the study highlights the validation of automatic software tools (such as the case of ThermoHuman analyzed by Requena-Bueno et al., 2020), which manage to reduce manual analysis time by 86% while maintaining excellent reliability, facilitating the day-to-day viability of dynamic thermography.
Bibliography and Study References
Below is the main bibliography analyzed and cited in the research chapter by Carrión-González et al. (2026):
- Carrión-González, C., Sendra-Pérez, C., Aparicio-Aparicio, I., & Priego-Quesada, J. I. (2026). Dynamic Infrared Thermography for Assessing Human Physiological Responses. Capítulo 10.
- Priego-Quesada, J. I., et al. (2020). Effect of a Marathon on skin temperature response after a cold-stress test and its relationship with perceptive, performance, and oxidative-stress biomarkers. International Journal of Sports Physiology and Performance, 15(10), 1467–1475.
- Muñoz-Alcamí, M., Priego-Quesada, J. I., et al. (2021). Effect of fatigue strength exercise on anterior thigh skin temperature rewarming after cold stress test. Journal of Thermal Biology, 101, 103098.
- Carbonell, L., Priego Quesada, J. I., et al. (2019). Thermographic quantitative variables for diabetic foot assessment: preliminary results. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 7(5–6), 660–666.
- Balbinot, L. LF., et al. (2013). Repeatability of infrared plantar thermography in diabetes patients: a pilot study. Journal of Diabetes Science and Technology, 7(5), 1130–1137.
- Requena-Bueno, L., Priego-Quesada, J. I., et al. (2020). Validation of ThermoHuman automatic thermographic software for assessing foot temperature before and after running. Journal of Thermal Biology, 92, 102639.
- Kandlikar, S. G., et al. (2017). Infrared imaging technology for breast cancer detection – current status, protocols and new directions. International Journal of Heat and Mass Transfer, 108, 2303–2320.