Journal of International Obstetrics and Gynecology ›› 2014, Vol. 41 ›› Issue (2): 186-190.

• 论著 • Previous Articles     Next Articles

Clinical Application of Serum Auto-fluorescent Spectrum in Diagnosis of Ovarian Cancer

QIAO Li-hua,YAN Su-qing,SHEN Yan-qin,NAI Ke-jun,MA Li-fang,JIANG Ling-yan,XIA Li-mei   

  1. Department of Gynecology,Branch of Shanghai First People′s Hospital,Shanghai 200081,China(QIAO Li-hua,NAI Ke-jun,MA Li-fang,JIANG Ling-yan,XIA Li-mei);College of Public Health,Zhengzhou University,Zhengzhou 450001,China(YAN Su-qing);Department of Obstetrics and Gynecology,the Second People′s Hospital of Jiaozuo,Jiaozuo 454001,Henan Province,China(SHEN Yan-qin)
  • Received:1900-01-01 Revised:1900-01-01 Published:2014-04-15 Online:2014-04-15
  • Contact: XIA Li-mei

Abstract: Objective:Using the technique of spectrum investigate the characteristics of the serum auto-fluorescent spectrum of patients with ovarian cancer. Methods:Using fluorospectrophotometer and 350 nm excitation light,the present study tested the serum auto-fluorescent spectrum of samples that been kept for different durations. It was also studied that the serum auto-fluorescent spectrums of 40 normal women and 37 patients with ovarian cancer,using different wavelength of excitation lights,and the data were further analyzed and compared including peak positions,peak heights and peak areas of spectrums,respectively. Results:The most prominent changes in peak position,peak height and peak area were observed in spectrum of sample that placed for 6 hrs. Difference in serum auto-fluorescent spectrum between ovarian patients and normal women were found to be most prominent under the 300 nm excitation light. Compared with those of normal controls,serum atuo-fluroesent spectrums in patients with ovarian cancer had purple shift of peak position,higher peak height,and larger peak area. Conclusions:There is probably clinical significance of detecting the serum auto-fluorescent spectrum in early diagnosis of ovarian cancer.

Key words: Spectrometry, fluorescence, Ovarian neoplasms, Serum, Spectrum analysis