ArticleTranslational oncology2012
Near-infrared Raman Microspectroscopy Detects High-risk Human Papillomaviruses.
Article in Translational oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 41 citations in OpenAlex.
- Raman Spectroscopy of Cell-Free Cervicovaginal Lavage for HPV Lesion Diagnosis: A Pilot Study.International journal of molecular sciences · 2025Article
- Raman Spectroscopy for Early Detection of Cervical Cancer, a Global Women's Health Issue-A Review.Molecules (Basel, Switzerland) · 2023Review
- Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN).Cancers · 2022Article
- 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
- HPV Infection Significantly Accelerates Glycogen Metabolism in Cervical Cells with Large Nuclei: Raman Microscopic Study with Subcellular Resolution.International journal of molecular sciences · 2020Article
- Raman spectroscopic detection of high-grade cervical cytology: Using morphologically normal appearing cells.Scientific reports · 2018Article
- Article
- Clinical instrumentation and applications of Raman spectroscopy.Chemical Society reviews · 2016Review
- Current Advances in the Application of Raman Spectroscopy for Molecular Diagnosis of Cervical Cancer.BioMed research international · 2015Review
- Raman spectroscopy provides a noninvasive approach for determining biochemical composition of the pregnant cervix in vivo.Acta paediatrica (Oslo, Norway : 1992) · 2014Review
- Method for assessing the reliability of molecular diagnostics based on multiplexed SERS-coded nanoparticles.PloS one · 2013Article
- Surgical Guidance via Multiplexed Molecular Imaging of Fresh Tissues Labeled with SERS-Coded Nanoparticles.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics SocietyArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundDetecting human papillomaviruses (HPVs) infection in cervical cells is an exceedingly important part of the clinical management of cervical dysplasia. Current guidelines in women's health outline the need for both the Papanicolaou test as well as high-risk HPV testing. Testing for HPV is expensive, is time-consuming, and requires experienced technicians.
methodsTwo sets of near-infrared Raman microspectroscopy experiments were conducted using a Raman confocal microscope system. First, Raman spectra were acquired from four different cell culture lines, two positive for HPV (HeLa, SiHa), one negative for HPV, but malignant (C33A), and one normal, HPV-negative line (NHEK). The three malignant lines were all derived from cervical cells. Second, Raman spectra were acquired from deidentified patient samples that were previously tested for the presence of high-risk HPV.
resultsThe spectra from the cell culture lines and the patient samples contained many statistically significant differences. Using sparse multinomial logistic regression to classify the data led to classification accuracies of 89% to 97% for the cell culture samples and 98.5% for the patient samples.
conclusionsRaman micro-spectroscopy can be used to detect HPV and differentiate among specific HPV strains. This technique may provide health providers with a new method for quickly testing cell samples for the presence of HPV.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.