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The mathematical models of serum HE4 and CA125 combined application to improve the pelvic tumor differential diagnosis rate

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单位: [1]Chinese Peoples Liberat Army Gen Hosp, Dept Clin Biochem, Beijing 100039, Peoples R China [2]Qilu Hosp Shandong Univ, Clin Lab, Jinan 250012, Shandong, Peoples R China [3]Tongji Hosp Affiliated Tongji Med Coll HUST, Clin Lab, Wuhan 430030, Hunan, Peoples R China [4]Tianjin Canc Hosp, Clin Lab, Tianjin 300060, Peoples R China [5]Shanghai Canc Ctr Fudan Univ, Clin Lab, Shanghai 200000, Peoples R China [6]Canc Ctr Sun Yat Sen Univ, Clin Lab, Guangzhou 510060, Guangdong, Peoples R China [7]Zhongshan Hosp Xiamen Univ, Clin Lab, Xiamen 361004, Fujian, Peoples R China [8]Canc Ctr Xinjiang Med Univ, Clin Lab, Urumqi 830011, Xinjiang, Peoples R China [9]First Affiliated Hosp Fujian Med Univ, Clin Lab, Fuzhou 350005, Fujian, Peoples R China
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关键词: pelvic masses epithelial ovarian cancer(EOC) Human epididymis protein 4 (HE4) CA125

摘要:
OBJECTIVE: The objective of this study was to explore the combined usage of human epididymis protein 4 (HE4) and CA 125 to help the diagnosis and differentiating malignant pelvic masses from benign diseases. METHOD: This was a multicenter clinical study and nine hospitals had been involved and totally 779 patients with pelvic mass have been enrolled. The pathologic diagnosis confirmed that 288 patients suffered EOC. Serum levels of HE4 and CA125 were measured. RESULTS: The distributions of HE4 and CA125 have been analyzed and the ROMA score have been calculated. Then three new calculation formulas have been compared and the best one have been used to evaluate its clinical significance. The specificity of this diagnosis model ( ) to prediction the risk of cancer and staging have reached over 75%. CONCLUSION: The application of mathematical model in combined analysis multiple biomarkers could improve the clinical significance and proved more accurate laboratory information for clinical doctors.

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第一作者单位: [1]Chinese Peoples Liberat Army Gen Hosp, Dept Clin Biochem, Beijing 100039, Peoples R China
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