The Heat Map of Prevention: Utilizing Thermographic Imaging for Early Detection of Diabetic Foot Ulcers
DOI:
https://doi.org/10.5281/zenodo.19337149Keywords:
Plantar Temperature, Diabetic Foot Ulcers, Diabetic Neuropathy, Early Detection, Infrared ThermographyAbstract
Diabetic neuropathy often leads to a loss of protective sensation, creating a "pain gap" where patients are unable to feel early-stage injuries or inflammation. This lack of sensory feedback frequently results in severe ulceration and, in many cases, necessary amputation. This research utilizes infrared thermography to bridge this visual gap by identifying localized thermal "hot spots" where the temperature difference is greater than 2.2 degrees Celsius before skin breakdown occurs. The study aimed to evaluate the diagnostic precision of non-invasive infrared sensors in mapping pre-ulcerative thermal anomalies and to determine the correlation between plantar temperature asymmetry and the risk of localized tissue necrosis. Focusing on patients with confirmed diabetic neuropathy, the methodology required participants to undergo a 15-minute acclimatization period at 20 to 24 degrees Celsius to stabilize skin temperature before a plantar infrared scan protocol was executed. If a temperature differential of greater than 2.2 degrees Celsius was detected between corresponding sites on the feet, the area was flagged as a high-risk thermal anomaly, triggering immediate proactive offloading and intervention. The results demonstrated that infrared thermography functions effectively as a "visual pain sensor," detecting sub-clinical tissue stress and inflammation otherwise invisible to the naked eye. Ultimately, thermal scanning serves as a fast, low-cost, and radiation-free tool for routine diabetic foot assessments. By identifying "at-risk" feet in the pre-ulcerative stage, this technology can significantly reduce amputation rates and lower long-term healthcare costs, shifting the medical approach from reactive care to proactive thermal monitoring.
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Copyright (c) 2026 Danish Perdeep kumar, Muhammad Ahmed Ather , Muhammad Haris Amin, Shehryar Khan, Haziq Suleiman, Musab bin Sajjad (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.


