The optimal combination of serum tumor markers with bioinformatics in diagnosis of colorectal carcinoma / 浙江大学学报·医学版
Journal of Zhejiang University. Medical sciences
;
(6): 407-410, 2004.
Artigo
em Chinês
| WPRIM
| ID: wpr-353293
ABSTRACT
<p><b>OBJECTIVE</b>To identify the optimal combination of serum tumor markers with bioinformatics in diagnosis of colorectal cancer.</p><p><b>METHODS</b>The serum levels of CEA, AFP, NSE, CA199, CA242, CA724, CA211 and TPA were detected in 128 patients with colorectal carcinoma and 113 health subjects. The serum tumor markers were evaluated with the area under curves. The optimal combination of serum tumor markers was selected and the diagnostic model with artificial neural network was established.</p><p><b>RESULTS</b>CEA, CA199, CA242, CA211, CA724 were selected for the optimal combination and the artificial neural network was built. The model was evaluated by a 5-cross validation approach. The model had a specificity of 95%, sensitivity of 83% and positive predictive value of 95% in diagnosis of colorectal carcinoma.</p><p><b>CONCLUSION</b>The combination of optimal serum tumor markers has a high sensitivity and specificity in diagnosis of colorectal carcinoma.</p>
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Sangue
/
Antígenos Glicosídicos Associados a Tumores
/
Neoplasias Colorretais
/
Antígeno Carcinoembrionário
/
Biomarcadores Tumorais
/
Sensibilidade e Especificidade
/
Redes Neurais de Computação
/
Antígeno CA-19-9
/
Diagnóstico
Tipo de estudo:
Estudo diagnóstico
/
Estudo prognóstico
Limite:
Adulto
/
Idoso
/
Aged80
/
Feminino
/
Humanos
/
Masculino
Idioma:
Chinês
Revista:
Journal of Zhejiang University. Medical sciences
Ano de publicação:
2004
Tipo de documento:
Artigo
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