光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2013年
11期
2989-2992
,共4页
周雪%陈光意%张建民%范春珍%梁二军%郭嬿%唐伟跃
週雪%陳光意%張建民%範春珍%樑二軍%郭嬿%唐偉躍
주설%진광의%장건민%범춘진%량이군%곽연%당위약
光谱学%食管癌%拉曼光谱%血红蛋白%早期诊断
光譜學%食管癌%拉曼光譜%血紅蛋白%早期診斷
광보학%식관암%랍만광보%혈홍단백%조기진단
Spectroscopy%Esophageal cancer%Raman spectra%Hemoglobin%Early diagnosis
早期诊断对食管癌患者的治疗具有重要意义。通过对21例食管癌患者和20例健康人的血红蛋白溶液进行拉曼光谱的检测和研究,发现食管癌患者与健康人血红蛋白的拉曼光谱有较明显的区别。与健康人相比,食管癌患者血红蛋白中处于低自旋态的铁离子增多,而处于高自旋态的铁离子减少,说明癌变导致食管癌患者血红蛋白中部分处于高自旋态的铁离子转移到了低自旋态,这与癌症患者血样较易溶血的现象相吻合。采用主成分分析(PC A )方法,对所得拉曼光谱建立多元统计模型进行计算,得到的光谱峰值的PC A得分三维散点图可以良好的区分食管癌患者与健康人。利用判别分析方法得出该算法诊断食管癌的灵敏度和特异性分别为90.5%和95%,总判别正确率为92.7%。结果表明,对血红蛋白的拉曼光谱进行检测和分析有可能成为食管癌早期诊断的有效工具之一。
早期診斷對食管癌患者的治療具有重要意義。通過對21例食管癌患者和20例健康人的血紅蛋白溶液進行拉曼光譜的檢測和研究,髮現食管癌患者與健康人血紅蛋白的拉曼光譜有較明顯的區彆。與健康人相比,食管癌患者血紅蛋白中處于低自鏇態的鐵離子增多,而處于高自鏇態的鐵離子減少,說明癌變導緻食管癌患者血紅蛋白中部分處于高自鏇態的鐵離子轉移到瞭低自鏇態,這與癌癥患者血樣較易溶血的現象相吻閤。採用主成分分析(PC A )方法,對所得拉曼光譜建立多元統計模型進行計算,得到的光譜峰值的PC A得分三維散點圖可以良好的區分食管癌患者與健康人。利用判彆分析方法得齣該算法診斷食管癌的靈敏度和特異性分彆為90.5%和95%,總判彆正確率為92.7%。結果錶明,對血紅蛋白的拉曼光譜進行檢測和分析有可能成為食管癌早期診斷的有效工具之一。
조기진단대식관암환자적치료구유중요의의。통과대21례식관암환자화20례건강인적혈홍단백용액진행랍만광보적검측화연구,발현식관암환자여건강인혈홍단백적랍만광보유교명현적구별。여건강인상비,식관암환자혈홍단백중처우저자선태적철리자증다,이처우고자선태적철리자감소,설명암변도치식관암환자혈홍단백중부분처우고자선태적철리자전이도료저자선태,저여암증환자혈양교역용혈적현상상문합。채용주성분분석(PC A )방법,대소득랍만광보건립다원통계모형진행계산,득도적광보봉치적PC A득분삼유산점도가이량호적구분식관암환자여건강인。이용판별분석방법득출해산법진단식관암적령민도화특이성분별위90.5%화95%,총판별정학솔위92.7%。결과표명,대혈홍단백적랍만광보진행검측화분석유가능성위식관암조기진단적유효공구지일。
The Raman spectrums of hemoglobin from 20 normal persons and 21 esophageal cancer patients were measured and analyzed in the present paper ,the results show obvious differences between the Raman spectrums of esophageal cancer patients and normal persons .Compared with normal persons ,there are more iron ions in low spin state and less in high spin state in the hemoglobin of esophageal cancer patients .It indicates that some iron ions in high spin state turned to low spin state because of cancerization ,and this experimental result coincides with the fact that hemolysis is more likely to occur in cancer patients .Prin-cipal component analysis (PCA ) was employed to get a three-dimensional scatter plot of PC scores for the health and cancer groups ,and it can be learned that they are distributed in separate areas .By using the method of discriminate analysis ,it was found that the diagnostic algorithm separates the two groups with sensitivity of 90.5% and diagnostic specificity of 95% ,and the overall diagnostic accuracy was 92.7% .The results from this exploratory study demonstrate that Raman spectroscopy combined with multivariate analysis would be an effective method for early diagnosis of esophageal cancer .