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1.
Front Oncol ; 11: 784924, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34858861

RESUMEN

OBJECTIVE: Over many decades, studies on histopathological features have not only presented high-level evidence of contribution for treatment directions and prognosis of oral squamous cell carcinoma (OSCC) but also provided inconsistencies, making clinical application difficult. The 8th TNM staging system of OSCC has acknowledged the importance of some histopathological features, by incorporating depth of invasion (DOI) to T category and extranodal extension (ENE) to N category. The aim of this systematic review with meta-analysis is to determine the most clinically relevant histopathological features for risk assessment and treatment planning of OSCC and to elucidate gaps in the literature. METHODS: A systematic review was conducted using PRISMA guidelines, and the eligibility criteria were based on population, exposure, comparison, outcome, and study type (PECOS). PubMed, Cochrane, Scopus, and Web of Science were searched for articles exploring the impact of histopathological features on OSCC outcomes with Cox multivariate analysis. Pooled data were subjected to an inverse variance method with random effects or fixed effect model, and the risk of bias was evaluated using quality in prognosis studies (QUIPS). Quality of evidence was assessed with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) criteria. RESULTS: The study included 172 articles published from 1999 to 2021. Meta-analyses confirmed the prognostic potential of DOI, ENE, perineural invasion, lymphovascular invasion, and involvement of the surgical margins and brought promising results for the association of bone invasion, tumor thickness, and pattern of invasion with increased risk for poor survival. Although with a small number of studies, the results also revealed a clinical significance of tumor budding and tumor-stroma ratio on predicted survival of patients with OSCC. Most of the studies were considered with low or moderate risk of bias, and the certainty in evidence varied from very low to high. CONCLUSION: Our results confirm the potential prognostic usefulness of many histopathological features and highlight the promising results of others; however, further studies are advised to apply consistent designs, filling in the literature gaps to the pertinence of histopathological markers for OSCC prognosis. SYSTEMATIC REVIEW REGISTRATION: International Prospective Register of Systematic Reviews (PROSPERO), identifier CRD42020219630.

2.
Diagn Cytopathol ; 41(6): 505-14, 2013 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-22645047

RESUMEN

Oropharyngeal cancer is the 11th most common cancer worldwide. The diagnostic method of choice for oral cavity lesions is biopsy and pathological examination. Cytopathology is a simple and inexpensive method, but it is not yet widespread among dental professionals. The aim of this study was to evaluate the evidence for the effectiveness of cytopathology in diagnosing oral lesions. We conducted a systematic literature review of randomized clinical trials that compared the diagnostic accuracies of oral lesion cytology and histopathology. We used the following search terms: cytology, oral lesions, and oral cancer. The meta-analysis was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Between 1967 and 2010, there were 80 relevant articles in the literature, 14 of which were included in this study. The I-square for sensitivity was 80.2%, and the specificity value was 96.7%. The pooled sensitivity was 0.942 [95% confidence interval (CI): 0.926-0.955], and the pooled specificity was 0.970 (95% CI: 0.963-0.975). The area under the curve was 0.9901. Our study suggests that cytology has good sensitivity and specificity for the diagnosis of oral lesions and allows the use of other associated techniques, such as DNA analysis, which may improve the accuracy of cytology.


Asunto(s)
Neoplasias de la Boca/patología , Área Bajo la Curva , Citodiagnóstico , ADN de Neoplasias/química , Interpretación Estadística de Datos , Humanos , Análisis de Secuencia de ADN
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