Zoltan Pusztai*

Gynecology Specialist, Hungary

*Corresponding Author: Zoltan Pusztai, Gynecology Specialist, Hungary.

Received: September 16, 2025; Published: September 30, 2025

Abstract

Background: Endometriosis is a chronic gynecological condition associated with infertility, pelvic pain, and reduced quality of life. Despite its high prevalence, timely diagnosis remains a major challenge, with diagnostic delays often reaching 7–10 years [1].

Objective: To present thermography as a novel, non-invasive, and cost-effective diagnostic and follow-up method for endometriosis.

Methods: More than 2,000 thermographic examinations of the pelvis and lower abdomen were analyzed. Patients underwent thermographic assessment. The correlation between symptoms and thermographic localizations, was calculated. Statistical values such as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and ROC curves with AUC were estimated. Follow-up examinations were performed to monitor treatment response.

Results: Thermography demonstrated a diagnostic accuracy of ~90% in the absence of disturbing inflammations and 70–80% in cases with significant abdominal inflammation. ROC analysis showed variable performance: adenomyosis AUC 0.72, cul-de-sac AUC 0.98, bladder wall AUC 0.91, colon wall AUC 0.99. Symptom correlation reached 80–90% across >2000 patients. Follow-up examinations confirmed close correlation between reduction of symptoms and thermographic signals under treatment (p < 0.05).

Conclusion: Thermography represents a promising pre-screening and follow-up tool in endometriosis. It provides a safe, rapid, non-invasive, and inexpensive alternative to repeated surgical interventions and may be further enhanced through integration with ultrasound and AI-based image analysis.

Keywords: Endometriosis; Thermography; Non-Invasive Diagnosis; Pelvic Pain; Infertility; Artificial Intelligence

References

1. Kaspute G., et al. “A Comprehensive Review of Advanced Diagnostic Approaches in Endometriosis: Nanotechnology, AI, Imaging”. Diagnostics (Basel) (2024).
2. Zhang X., et al. “Diagnostic accuracy of transvaginal sonography and MRI for deep infiltrating endometriosis: A meta-analysis”. Human Reproduction (2020).
3. Moghadam RN., et al. “MRI role in pelvic endometriosis diagnosis”. Insights Imaging (2024).
4. Medeiros FC., et al. “Infrared Thermography Appearance of Abdominal Wall Endometriosis: A Useful Tool for Diagnosis”. IGRWH (2018).
5. Mick I., et al. “Diagnostic accuracy of transvaginal ultrasound compared with laparoscopy and histology in endometriosis”. Obstetrics and Gynecology: Open Access (2025).
6. Adrian Balica., et al. “Augmenting endometriosis analysis from ultrasound data with deep learning”. arXiv:2302.09621.
7. Lima KM., et al. “Non-invasive diagnosis using infrared spectroscopy”. Spectroscopy Online (2025).

Citation

Citation: Zoltan Pusztai. “The Potential of Thermography in the Diagnosis and Follow-up of Endometriosis: A New Perspective". Acta Scientific Women's Health 7.10 (2025): 17-23.

Copyright

Copyright: © 2025 Zoltan Pusztai. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.