MRI texture analysis predicts p53 status in head and neck squamous cell carcinoma.
AJNR Am J Neuroradiol
; 36(1): 166-70, 2015 Jan.
Article
em En
| MEDLINE
| ID: mdl-25258367
ABSTRACT
BACKGROUND AND PURPOSE:
Head and neck cancer is common, and understanding the prognosis is an important part of patient management. In addition to the Tumor, Node, Metastasis staging system, tumor biomarkers are becoming more useful in understanding prognosis and directing treatment. We assessed whether MR imaging texture analysis would correctly classify oropharyngeal squamous cell carcinoma according to p53 status. MATERIALS ANDMETHODS:
A cohort of 16 patients with oropharyngeal squamous cell carcinoma was prospectively evaluated by using standard clinical, histopathologic, and imaging techniques. Tumors were stained for p53 and scored by an anatomic pathologist. Regions of interest on MR imaging were selected by a neuroradiologist and then analyzed by using our 2D fast time-frequency transform tool. The quantified textures were assessed by using the subset-size forward-selection algorithm in the Waikato Environment for Knowledge Analysis. Features found to be significant were used to create a statistical model to predict p53 status. The model was tested by using a Bayesian network classifier with 10-fold stratified cross-validation.RESULTS:
Feature selection identified 7 significant texture variables that were used in a predictive model. The resulting model predicted p53 status with 81.3% accuracy (P < .05). Cross-validation showed a moderate level of agreement (κ = 0.625).CONCLUSIONS:
This study shows that MR imaging texture analysis correctly predicts p53 status in oropharyngeal squamous cell carcinoma with â¼80% accuracy. As our knowledge of and dependence on tumor biomarkers expand, MR imaging texture analysis warrants further study in oropharyngeal squamous cell carcinoma and other head and neck tumors.
Texto completo:
1
Coleções:
01-internacional
Temas:
Geral
/
Tipos_de_cancer
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Outros_tipos
Base de dados:
MEDLINE
Assunto principal:
Interpretação de Imagem Assistida por Computador
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Carcinoma de Células Escamosas
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Neoplasias Orofaríngeas
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Proteína Supressora de Tumor p53
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Neoplasias de Cabeça e Pescoço
Tipo de estudo:
Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Female
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Humans
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Male
/
Middle aged
Idioma:
En
Revista:
AJNR Am J Neuroradiol
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Canadá