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浙江大学学报(医学版)  2014, Vol. 43 Issue (4): 494-500    DOI: 10.3785/j.issn.1008-9292.2014.07.010
综述     
傅里叶变换红外光谱检测乳腺癌相关研究
陈素菡1,劳玮炜1,徐早仙1,刘清2,文欢1,邓红1
1. 浙江大学医学院基础医学系,浙江 杭州 310058 2. 浙江大学分析化学与应用医学研究所,浙江 杭州 310027
Fourier transform infrared spectroscopy in detection of breast cancer
CHEN Su-han1, LAO Wei-wei1, XU Zao-xian1, LIU Qing2, WEN Huan1, DENG Hong1
1.Zhejiang University School of Medicine, Hangzhou 310058, China; 2. Institute of Analytical Chemistry and Applied Chemistry of Zhejiang University, Hangzhou 310027, China
全文: PDF(1052 KB)  
摘要: 乳腺癌是女性最常见的恶性肿瘤,早期乳腺癌检出率相对较低,而中晚期乳腺癌治愈率低。傅里叶变换红外光谱(FTIR)是一种新型的分子和代谢水平的疾病检测技术,可先于形态学改变发现肿瘤的发生,具有客观、无损、快速、自动化的优点。本文综述近20年来与乳腺癌相关的FTIR研究,重点介绍该领域的发展过程,总结相关实验技术、数据分析方法和乳腺癌组织的主要光谱学特征,提出FTIR应用于乳腺癌检测所面临的挑战和未来可能的发展方向。
关键词 乳腺肿瘤/诊断丨谱学 傅里叶变换红外丨综述     
Abstract:Breast cancer is the most common cancer in women. Later diagnosis of the disease is the leading cause of poor prognosis. Fourier-transform infrared (FTIR) spectroscopy is a novel approach to provide information about the molecular components and metabolic conditions of human tissue; therefore it can detect the early changes caused by cancer cells prior to histological manifestation. FTIR-based diagnosis is rapid, simple and label free, which meets the requirements of an automated and patient-friendly technique. The current article gives an overview of the experimental techniques, data analysis methods and spectral signatures of breast cancer in FTIR-based diagnosis, summarizes the present challenges by focusing on the history of FTIR spectroscopy in breast cancer since 1990s, and highlights some investigations that give a perspective of FTIR-based diagnosis.
收稿日期: 2013-12-28
基金资助:国家自然科学基金(30870971);浙江省自然科学基金(LY12H16027).
通讯作者: 邓红(1964-),女,副教授,硕士生导师,主要从事肿瘤分子病理学研究;E-mail: hongdeng@zju.edu.cn    
Corresponding author: DENG Hong, E-mail: hongdeng@zju.edu.cn   
作者简介: 陈素菡(1991-),女,大学生,主要从事肿瘤的红外光谱学研究;E-mail: fridayshe@tom.com
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引用本文:

陈素菡,等. 傅里叶变换红外光谱检测乳腺癌相关研究[J]. 浙江大学学报(医学版), 2014, 43(4): 494-500.
CHEN Su-han,et al. Fourier transform infrared spectroscopy in detection of breast cancer . Journal of ZheJiang University(Medical Science), 2014, 43(4): 494-500.

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http://www.zjujournals.com/xueshu/med/CN/10.3785/j.issn.1008-9292.2014.07.010      或      http://www.zjujournals.com/xueshu/med/CN/Y2014/V43/I4/494

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