ArticleScientific reports2019
Raman spectroscopy as a non-invasive diagnostic technique for endometriosis.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 64 citations in OpenAlex.
- Seedling fibroid characterization using optical coherence tomography.Biomedical optics express · 2026Article
- Decoding the Endometriosis-Associated Infertility Microenvironment: A Review of FTIR and Raman Spectroscopic Insights into Follicular Fluid.Current issues in molecular biology · 2026Review
- Comparative analysis of small extracellular vesicles in peritoneal fluid from endometriosis and non-endometriosis patients: a pilot case-control study.Extracellular vesicles and circulating nucleic acids · 2026Article
- Integrating spatial and chemical information enhances differentiation of non-alcoholic steatohepatitis states in Raman imaging.Scientific reports · 2025Article
- Detecting metabolic signatures in endometrial cancer: potential applications of Raman spectroscopy.Future oncology (London, England) · 2025Review
- Evaluation of inflammatory serum parameters as a diagnostic tool in patients with endometriosis: a case-control study.Scientific reports · 2025Article
- Article
- Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology.Journal of clinical medicine · 2024Review
- Exosomal microRNAs and long noncoding RNAs: as novel biomarkers for endometriosis.Cell and tissue research · 2023Review
- Raman spectroscopy combined with a support vector machine algorithm as a diagnostic technique for primary Sjögren's syndrome.Scientific reports · 2023Article
- Vibrational Biospectroscopy: An Alternative Approach to Endometrial Cancer Diagnosis and Screening.International journal of molecular sciences · 2022Review
- Atrial fibrillation designation with micro-Raman spectroscopy and scanning acoustic microscope.Scientific reports · 2022Article
- Rapid label-free detection of cholangiocarcinoma from human serum using Raman spectroscopy.PloS one · 2022Article
- Raman Spectroscopy-A Novel Method for Identification and Characterization of Microbes on a Single-Cell Level in Clinical Settings.Frontiers in cellular and infection microbiology · 2022Review
- Is Raman the best strategy towards the development of non-invasive continuous glucose monitoring devices for diabetes management?Frontiers in chemistry · 2022Review
- Novel exploration of Raman microscopy and non-linear optical imaging in adenomyosis.Frontiers in medicine · 2022Article
- Photonics of human saliva: potential optical methods for the screening of abnormal health conditions and infections.Biophysical reviews · 2021Review
- An efficient primary screening of COVID-19 by serum Raman spectroscopy.Journal of Raman spectroscopy : JRS · 2021Article
- Spectroscopic evaluation of carcinogenesis in endometrial cancer.Scientific reports · 2021Article
- Using the Method of "Optical Biopsy" of Prostatic Tissue to Diagnose Prostate Cancer.Molecules (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endometriosis is a condition in which the endometrium, the layer of tissue that usually covers the inside of the uterus, grows outside the uterus. One of its severe effects is sub-fertility. The exact reason for endometriosis is still unknown and under investigation. Tracking the symptoms is not sufficient for diagnosing the disease. A successful diagnosis can only be made using laparoscopy. During the disease, the amount of some molecules (i.e., proteins, antigens) changes in the blood. Raman spectroscopy provides information about biochemicals without using dyes or external labels. In this study, Raman spectroscopy is used as a non-invasive diagnostic method for endometriosis. The Raman spectra of 94 serum samples acquired from 49 patients and 45 healthy individuals were compared for this study. Principal Component Analysis (PCA), k- Nearest Neighbors (kNN), and Support Vector Machines (SVM) were used in the analysis. According to the results (using 80 measurements for training and 14 measurements for the test set), it was found that kNN-weighted gave the best classification model with sensitivity and specificity values of 80.5% and 89.7%, respectively. Testing the model with unseen data yielded a sensitivity value of 100% and a specificity value of 100%. To the best of our knowledge, this is the first study in which Raman spectroscopy was used in combination with PCA and classification algorithms as a non-invasive method applied on blood sera for the diagnosis of endometriosis.
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