ArticleScientific reports2018
Raman spectroscopic detection of high-grade cervical cytology: Using morphologically normal appearing cells.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 36 citations in OpenAlex.
- Raman microspectroscopy for cervical cancer diagnosis: an ex-vivo cryopreserved tissue analysis.American journal of cancer research · 2026Article
- Cervical Squamous Cell Carcinoma Diagnosis by FTIR Microspectroscopy.Molecules (Basel, Switzerland) · 2024Article
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- Raman Spectroscopy for Early Detection of Cervical Cancer, a Global Women's Health Issue-A Review.Molecules (Basel, Switzerland) · 2023Review
- Label-Free Differentiation of Cancer and Non-Cancer Cells Based on Machine-Learning-Algorithm-Assisted Fast Raman Imaging.Biosensors · 2022Article
- Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN).Cancers · 2022Article
- Group and Basis Restricted Non-Negative Matrix Factorization and Random Forest for Molecular Histotype Classification and Raman Biomarker Monitoring in Breast Cancer.Applied spectroscopy · 2022Article
- Automated Raman Micro-Spectroscopy of Epithelial Cell Nuclei for High-Throughput Classification.Cancers · 2021Article
- Raman spectral cytopathology for cancer diagnostic applications.Nature protocols · 2021Article
- Raman Spectroscopy of Liquid-Based Cervical Smear Samples as a Triage to Stratify Women Who Are HPV-Positive on Screening.Cancers · 2021Article
- Article
- Laser-assisted rapid evaporative ionisation mass spectrometry (LA-REIMS) as a metabolomics platform in cervical cancer screening.EBioMedicine · 2020Article
- Developing intelligent medical image modality classification system using deep transfer learning and LDA.Scientific reports · 2020Article
- HPV Infection Significantly Accelerates Glycogen Metabolism in Cervical Cells with Large Nuclei: Raman Microscopic Study with Subcellular Resolution.International journal of molecular sciences · 2020Article
- Review
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Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to detect high grade squamous intraepithelial cells (HSIL) by investigating HSIL associated biochemical changes in morphologically normal appearing intermediate and superficial cells using Raman spectroscopy. Raman spectra (n = 755) were measured from intermediate and superficial cells from negative cytology ThinPrep specimens (n = 18) and from morphologically normal appearing intermediate and superficial cells from HSIL cytology ThinPrep specimens (n = 17). The Raman data was subjected to multivariate algorithms including the standard principal component analysis (PCA)-linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA) together with random subsets cross-validation for discriminating negative cytology from HSIL. The PCA-LDA method yielded sensitivities of 74.9%, 72.8%, and 75.6% and specificities of 89.9%, 81.9%, and 84.5%, for HSIL diagnosis based on the dataset obtained from intermediate, superficial and mixed intermediate/superficial cells, respectively. The PLS-DA method provided improved sensitivities of 95.5%, 95.2% and 96.1% and specificities of 92.7%, 94.7% and 93.5% compared to the PCA-LDA method. The results demonstrate that the biochemical signatures of morphologically normal appearing cells can be used to discriminate between negative and HSIL cytology. In addition, it was found that mixed intermediate and superficial cells could be used for HSIL diagnosis as the biochemical differences between negative and HSIL cytology were greater than the biochemical differences between intermediate and superficial cell types.
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