血清自体荧光光谱检测在卵巢癌临床诊断中的应用  被引量:1

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

在线阅读下载全文

作  者:乔丽华[1] 阎素青[2] 申延琴[3] 佴科军[1] 马立芳[1] 江灵燕[1] 夏丽梅[1] 

机构地区:[1]上海市第一人民医院分院妇科,200081 [2]郑州大学公共卫生学院 [3]焦作市第二人民医院妇产科

出  处:《国际妇产科学杂志》2014年第2期186-190,共5页Journal of International Obstetrics and Gynecology

摘  要:目的:利用光谱学技术研究卵巢癌患者的血清自体荧光光谱特点。方法:应用荧光分光光度计,使用350 nm激发光,检测了不同放置时间标本的荧光光谱特点;测定了不同波长激发光条件下37例卵巢癌患者和40例正常者的血清荧光光谱,并对300 nm激发光光谱的峰位、峰高、峰面积进行了分析。结果:血清标本放置6 h测得的荧光光谱峰的位置、峰强度、峰面积等特点较为显著。300 nm激发光形成的荧光光谱在正常者与卵巢癌患者之间具有最大的差异。卵巢癌患者自身荧光光谱的峰位紫移;峰高及峰面积均高于正常者。结论:通过检测血清自体荧光光谱的特征性改变可能对卵巢癌患者的早期诊断具有重要临床意义。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.

关 键 词:光谱法 荧光 卵巢肿瘤 血清 光谱分析 

分 类 号:R737.31[医药卫生—肿瘤]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象