JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2010, Vol. 48 ›› Issue (8): 88-.

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Diagnostic model of lung cancer established with tumor markers and artificial neural network

JIANG Man1， GENG Ling-yun1，  CAI Hong-fei1， WANG Ming-ming2， WANG Dong-fang1, WANG Jia-lin3， HAN Ming-yong1   

  1. 1. Cancer Center, Provincial Hospital Affiliated to Shandong University, Jinan 250021, China;
    2. Central Laboratory, Qilu Hospital of Shandong University, Jinan 250012, China;
    3. Central Laboratory of Shandong Tumor Hospital, Jinan 250117, China
  • Received:2010-05-01 Online:2010-08-16 Published:2010-08-16

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Abstract:

Objective    To establish a diagnostic model for lung cancer with artificial neural network(ANN) and tumor markers. Methods    Serum levels of CYFRA21-1、NSE、TPS、sIL2R、CEA、CA242 and p53-Ab were detected in 86 lung cancer patients and 80 healthy subjects. The tumor markers were evaluated by area under curves anda diagnostic model with artificial neural network was further established. Results    The levels of CYFRA-211、NSE、TPS、SIL-2R、CEA、CA242 and p53-Ab were detected; The diagnostic mode of lung cancer was built with artificial neural network. Accuracy, sensitivity and specificity of this model were84.1%,  86.3% and 94.8%, respectively, in the diagnosis of lung cancer. Conclusion     ANN model of tumor markers has a high sensitivity and specificity in diagnosis of lung cancer.

Key words: Lung cancer； Artificial neural network； Tumor marker； Diagnostic model

CLC Number: 

  • R322.81
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