Endometriosis is a chronic disease defined by growth of endometrial tissue outside the uterus, causing symptoms including but not limited to amplified pain throughout the menstrual cycle, pelvic discomfort, and infertility (Zondervan et al. 2020). The most effective way to diagnose endometriosis is through surgery, which is typically invasive, time consuming, and not often approved for younger patients (Humphries 2026). Late-stage endometriosis can be potentially diagnosed non-invasively through ultrasound, but early-stage endometriosis is not visible through imaging (Menakaya et al. 2026).
New strides have been taken in endometriosis diagnostic tools, thanks to patterns occurring in the chemical make-up of those with endometriosis. CA-125 (cancer antigen) and CA-19-9 are biomarkers used in detection of endometrial cancer. Upon study of ovarian tissue in endometriosis patients, there is a strong correlation between the CA-125 and CA-19-9 proteins in endometrial tissue and the presence of endometriosis in the body (Pant et al. 2023). Studies have shown that high levels of CA-125 and CA-19-9 combined in a patient yield about a 96% correlation to endometriosis progression in the body (Dai et al. 2015). That is, before endometrial lining grows to become late-stage endometriosis, identification of these biomarkers has potential in diagnosing and treating endometriosis before its symptoms become detrimental to the patient’s health.
Through the use of vibrational spectroscopy, biomarkers of endometriosis can be effectively identified, and patients can be diagnosed at faster rates than ever. Spectroscopy is a scientific study which identifies substances typically through their interactions with light waves. Vibrational spectroscopy is a non-invasive technique that measures the vibrational energy levels within a molecule through sound waves ( ScienceDirect Topics, n.d.).
In a study measuring vibrational spectra of a control group of healthy individuals against a group of people with diagnosed endometriosis, there was a significant difference in the wavelengths emitted between each group. Absorbances of biomarkers were measured in the study and plotted against each other in the graph below. (Olcha et al. 2026).

Through vibrational spectroscopy, promising advances in non-invasive diagnosis of endometriosis are exhibited. Moving away from invasive surgery as the primary way of diagnosing the disease will aid in controlling its impact as it grows over an individual’s course of menstruation. The average of diagnosis of endometriosis ranges from 5-12 years from the onset of initial symptoms due to the intrusive methods used in treatment of the disease (De Corte et al. 2025). With new developments in vibrational spectroscopy in the gynaecological field, individuals should hope to see earlier diagnosis periods of this chronic disease.
References
Dai, Xinyue, Chu Jin, Yan Hu, et al. 2015. “High CA-125 and CA19-9 Levels in Spontaneous Ruptured Ovarian Endometriomas.” Clinica Chimica Acta 450 (October): 362–65. https://doi.org/10.1016/j.cca.2015.09.019.
De Corte, Pauline, Moritz Klinghardt, Sophia von Stockum, and Klaas Heinemann. 2025. “Time to Diagnose Endometriosis: Current Status, Challenges and Regional Characteristics—A Systematic Literature Review.” Bjog 132 (2): 118–30. https://doi.org/10.1111/1471-0528.17973.
Humphries, Leigh Ann. 2026. “Endometriosis Surgery.” Obstetrics & Gynecology 147 (2): 169–73. https://doi.org/10.1097/AOG.0000000000006151.
Menakaya, Uche A., Kingsley N. Agholor, Dalia El Haieg, et al. 2026. “Endometriosis in African Women: Findings from a Cohort of Reproductive-Age Women Attending an Endometriosis Ultrasound Training Program.” International Journal of Gynecology & Obstetrics 173 (1): 545–47. https://doi.org/10.1002/ijgo.70606.
Olcha, Piotr, Wiesław Paja, Michał Kępski, et al. 2026. “Detection of Peritoneal, Ovarian, and Bowel Endometriosis Using FTIR Spectroscopy and Machine Learning.” Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 348 (March): 127242. https://doi.org/10.1016/j.saa.2025.127242.
Pant, Anuja, Kareena Moar, Taruna K. Arora, and Pawan Kumar Maurya. 2023. “Biomarkers of Endometriosis.” Clinica Chimica Acta 549 (September): 117563. https://doi.org/10.1016/j.cca.2023.117563.
“Vibrational Spectroscopy – an Overview | ScienceDirect Topics.” n.d. Accessed November 7, 2026. https://www-sciencedirect-com.libaccess.lib.mcmaster.ca/topics/medicine-and-dentistry/vibrational-spectroscopy.
Zondervan, Krina T., Christian M. Becker, and Stacey A. Missmer. 2020. “Endometriosis.” New England Journal of Medicine 382 (13): 1244–56. https://doi.org/10.1056/NEJMra1810764.
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