Enhanced Diagnostic Precision: Assessing Tumor Differentiation in Head and Neck Squamous Cell Carcinoma Using Multi-Slice Spiral CT Texture Analysis

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Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorCruzeiro do Sul University (UNICSUL)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorBrazilian Institute of Neuroscience and Neurotechnology (BRAINN)-
Autor(es): dc.contributorSchool of Dentistry of Paulista Association of Dentists (FAOA)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorde Oliveira, Lays Assolini Pinheiro-
Autor(es): dc.creatorLopes, Diana Lorena Garcia-
Autor(es): dc.creatorGomes, João Pedro Perez-
Autor(es): dc.creatorda Silveira, Rafael Vinicius-
Autor(es): dc.creatorNozaki, Daniel Vitor Aguiar-
Autor(es): dc.creatorSantos, Lana Ferreira-
Autor(es): dc.creatorCastellano, Gabriela-
Autor(es): dc.creatorde Castro Lopes, Sérgio Lúcio Pereira-
Autor(es): dc.creatorCosta, Andre Luiz Ferreira-
Data de aceite: dc.date.accessioned2025-08-21T23:43:17Z-
Data de disponibilização: dc.date.available2025-08-21T23:43:17Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-07-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/jcm13144038-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/300439-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/300439-
Descrição: dc.descriptionThis 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.-
Descrição: dc.descriptionDepartment of Anesthesiology Oncology and Radiology Faculty of Medical Sciences University of Campinas (UNICAMP), SP-
Descrição: dc.descriptionPostgraduate Program in Dentistry Dentomaxillofacial Radiology and Imaging Laboratory Department of Dentistry Cruzeiro do Sul University (UNICSUL), SP-
Descrição: dc.descriptionDepartment of Stomatology Division of Oral Radiology School of Dentistry University of São Paulo (USP), SP-
Descrição: dc.descriptionInstitute of Physics Gleb Wataghin Universidade Estadual de Campinas (UNICAMP), SP-
Descrição: dc.descriptionBrazilian Institute of Neuroscience and Neurotechnology (BRAINN), SP-
Descrição: dc.descriptionSchool of Dentistry of Paulista Association of Dentists (FAOA), SP-
Descrição: dc.descriptionDepartment of Diagnosis and Surgery São José dos Campos School of Dentistry São Paulo State University (UNESP), São José dos Campos, SP-
Descrição: dc.descriptionDepartment of Diagnosis and Surgery São José dos Campos School of Dentistry São Paulo State University (UNESP), São José dos Campos, SP-
Idioma: dc.languageen-
Relação: dc.relationJournal of Clinical Medicine-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcomputed tomography-
Palavras-chave: dc.subjectcomputer-assisted diagnosis-
Palavras-chave: dc.subjectoral cancer-
Palavras-chave: dc.subjectradiomics-
Palavras-chave: dc.subjecttumor-
Título: dc.titleEnhanced Diagnostic Precision: Assessing Tumor Differentiation in Head and Neck Squamous Cell Carcinoma Using Multi-Slice Spiral CT Texture Analysis-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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