| Texto completo | |
| Autor(es): |
Pinheiro de Oliveira, Lays Assolini
;
Garcia Lopes, Diana Lorena
;
Perez Gomes, Joao Pedro
;
da Silveira, Rafael Vinicius
;
Aguiar Nozaki, Daniel Vitor
;
Santos, Lana Ferreira
;
Castellano, Gabriela
;
Pereira de Castro Lopes, Sergio Lucio
;
Ferreira Costa, Andre Luiz
Número total de Autores: 9
|
| Tipo de documento: | Artigo Científico |
| Fonte: | JOURNAL OF CLINICAL MEDICINE; v. 13, n. 14, p. 9-pg., 2024-07-01. |
| Resumo | |
This study explores the efficacy of texture analysis by using preoperative multi-slice spiral computed tomography (MSCT) to non-invasively determine the grade of cellular differentiation in head and neck squamous cell carcinoma (HNSCC). In a retrospective study, MSCT scans of patients with HNSCC were analyzed and classified based on its histological grade as moderately differentiated, well-differentiated, or poorly differentiated. The location of the tumor was categorized as either in the bone or in soft tissues. Segmentation of the lesion areas was conducted, followed by texture analysis. Eleven GLCM parameters across five different distances were calculated. Median values and correlations of texture parameters were examined in relation to tumor differentiation grade by using Spearman's correlation coefficient and Kruskal-Wallis and Dunn tests. Forty-six patients were included, predominantly female (87%), with a mean age of 66.7 years. Texture analysis revealed significant parameter correlations with histopathological grades of tumor differentiation. The study identified no significant age correlation with tumor differentiation, which underscores the potential of texture analysis as an age-independent biomarker. The strong correlations between texture parameters and histopathological grades support the integration of this technique into the clinical decision-making process. (AU) | |
| Processo FAPESP: | 23/08428-1 - Análise de textura em tomografia computadorizada multislice de pacientes com carcinoma epidermóide de orofaringe: correlação com status do HPV e características clínicas e radiográficas |
| Beneficiário: | Daniel Vitor Aguiar Nozaki |
| Modalidade de apoio: | Bolsas no Brasil - Iniciação Científica |