基于血清的红外光谱技术在乳腺癌检测中的诊断效能：一项Meta分析
Diagnostic Efficiency of Serum-Based Infrared Spectroscopy in Detecting Breast Cancer: A Meta-Analysis.
作者信息
Pabico Louise Julie, Jaron Jennica Naiomi, Mosqueda Marc Erickson, Wu Jorge Jaesen, Tiongco Raphael Enrique, Albano Pia Marie
机构信息
Department of Biological Sciences, College of Science, University of Santo Tomas, Manila, Philippines.
Department of Medical Technology, College of Allied Medical Professions, Angeles University Foundation, Angeles City, Philippines.
出版信息
Lab Med. 2023 Jan 5;54(1):98-105. doi: 10.1093/labmed/lmac068.
BACKGROUND
The advancement of Fourier transform infrared (FTIR) spectroscopy as a potential diagnostic tool in the clinical setting has been studied over the years, particularly its application in cancer diagnostics.
OBJECTIVE
To summarize previous research on FTIR spectroscopy in detecting breast cancer using serum specimens.
METHODS
Related literature was searched and screened from various databases. Relevant data were then extracted, tabulated, and analyzed using Meta-DiSc 1.4 software.
RESULTS
Sensitivity and specificity rates were 90% to 100% and 80% to 95%, respectively. The area under the receiver operating characteristic curve was at 0.9729, indicating that serum analysis via FTIR spectroscopy can accurately discriminate between healthy individuals and patients with breast cancer.
CONCLUSION
Overall, FTIR spectroscopy for breast cancer diagnosis using serum specimens shows promising results. However, further studies are still needed to validate these claims.
背景
多年来一直在研究傅里叶变换红外（FTIR）光谱作为临床环境中一种潜在诊断工具的进展，尤其是其在癌症诊断中的应用。
目的
总结以往关于使用血清标本通过FTIR光谱检测乳腺癌的研究。
方法
从各种数据库中搜索和筛选相关文献。然后使用Meta-DiSc 1.4软件提取、制表并分析相关数据。
结果
灵敏度和特异度分别为90%至100%和80%至95%。受试者工作特征曲线下面积为0.9729，表明通过FTIR光谱进行血清分析可以准确区分健康个体和乳腺癌患者。
结论
总体而言，使用血清标本通过FTIR光谱诊断乳腺癌显示出有希望的结果。然而，仍需要进一步研究来验证这些结论。
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