Rapid prediction of cervical cancer and high-grade precursor lesions: An integrated approach using low-field 1H NMR and chemometric analysis

Q: How does OCRA curate its research paper database?

OCRA indexes peer-reviewed papers from PubMed and CrossRef, enriched with MeSH terms, author profiles, and citation metrics. Papers are categorized by cancer type, research method, and clinical relevance.

Q: Can I search papers by MeSH term or author?

Yes. Use the search bar to filter papers by MeSH term, author name, journal, keyword, or cancer type. Each paper includes linked MeSH terms and author profiles for further exploration.

Q: How current is the paper database?

The database is updated regularly through automated ingestion from PubMed and CrossRef. Most papers appear within days of their PubMed indexing date.

doi:10.1016/j.cca.2025.120346

Rapid prediction of cervical cancer and high-grade precursor lesions: An integrated approach using low-field 1H NMR and chemometric analysis

Luana Quadros de Souza Leão & Priscila Ferreira de Aquino et al. · 2025-05-05

Cervical cancer (CC) is a significant cause of morbidity and mortality in women, often preceded by high-grade cervical intraepithelial lesions (HSIL). Although conventional cytology (Pap smear) is widely used for screening, its sensitivity limitations and high false-positive rate reinforce the need for complementary methods. This study investigated the feasibility of low-field

Links

DOI PubMed

Journal

Clinica Chimica Acta

Authors

Luana Quadros de Souza Leão, Jelmir Craveiro de Andrade, Giovanna Melo Marques, Cristiane Cunha Guimarães, Rosyana de Fátima Vieira de Albuquerque, Alessandra Silva e Silva, Kamila Pereira de Araujo, Mikele Praia de Oliveira, Anderson Ferreira Gonçalves, Higino Felipe Figueiredo, Daniel Lourenço Lira, Marina Amaral Alves, Carlos Adam Conte-Junior, Priscila Ferreira de Aquino

Funding

Foundation for Research Support of Amazonas State Grant 213129/2020-1 National Council for Scientific and Technological Development Grant 176168/2023-0 ]National Council for Scientific and Technological Development Grant 307846/2020-2 Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro Grant E-26/200.738/2023 Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro Grant E-26/201.534/2022 Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro Grant E-26/201.296/2024 Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro Grant E-26/201