IR@PKUHSC  > 北京大学第三临床医学院  > 普通外科
学科主题临床医学
Intraoperative diagnosis of benign and malignant breast tissues by fourier transform infrared spectroscopy and support vector machine classification
Tian, Peirong1; Zhang, Weitao1; Zhao, Hongmei1; Lei, Yutao1; Cui, Long1; Wang, Wei2; Li, Qingbo2; Zhu, Qing3; Zhang, Yuanfu3; Xu, Zhi1
关键词FTIR spectroscopy breast tumor support vector machine intraoperative diagnosis
刊名INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE
2015
8期:1页:972-981
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Medicine, Research & Experimental
资助者Beijing Natural Science Foundation ; Clinical Research Project of Peking University Third Hospital ; Major Research Project of Peking University Third Hospital ; Beijing Natural Science Foundation ; Clinical Research Project of Peking University Third Hospital ; Major Research Project of Peking University Third Hospital
研究领域[WOS]Research & Experimental Medicine
关键词[WOS]FROZEN-SECTION ANALYSIS ; THYROID-CARCINOMA ; CANCER ; MAMMOGRAPHY ; WOMEN ; ULTRASOUND ; RISK ; ACCURACY ; STANDARD ; MARGINS
英文摘要

Background: Fourier transform infrared (FTIR) spectroscopy has shown its unique advantages in distinguishing cancerous tissue from normal one. The aim of this study was to establish a quick and accurate diagnostic method of FTIR spectroscopy to differentiate malignancies from benign breast tissues intraoperatively. Materials and methods: In this study, a total of 100 breast tissue samples obtained from 100 patients were taken on surgery. All tissue samples were scanned for spectra intraoperatively before being processed for histopathological diagnosis. Standard normal variate (SNV) method was adopted to reduce scatter effects. Support vector machine (SVM) classification was used to discriminate spectra between malignant and benign breast tissues. Leave-one-out cross validation (LOOCV) was used to evaluate the discrimination. Results: According to histopathological examination, 50 cases were diagnosed as fibroadenoma and 50 cases as invasive ductal carcinoma. The results of SVM algorithm showed that the sensitivity, specificity and accuracy rate of this method are 90.0%, 98.0% and 94.0%, respectively. Conclusions: FTIR spectroscopy technique in combination with SVM classification could be an accurate, rapid and objective tool to differentiate malignant from benign tumors during operation. Our studies establish the feasibility of FTIR spectroscopy with chemometrics method to guide surgeons during the surgery as an effective supplement for pathological diagnosis on frozen section.

语种英语
所属项目编号2122059 ; B59427-01 ; BYSY201207
资助者Beijing Natural Science Foundation ; Clinical Research Project of Peking University Third Hospital ; Major Research Project of Peking University Third Hospital ; Beijing Natural Science Foundation ; Clinical Research Project of Peking University Third Hospital ; Major Research Project of Peking University Third Hospital
WOS记录号WOS:000349897200116
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/60849
专题北京大学第三临床医学院_普通外科
作者单位1.Peking Univ, Dept Gen Surg, Hosp 3, Beijing 100191, Peoples R China
2.Beihang Univ, Precis Optomechatron Technol Key Lab Educ, Sch Instrumentat Sci & Optoelect Engn, Educ Minist, Beijing 100191, Peoples R China
3.Peking Univ, Coll Chem & Mol Engn, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714
Tian, Peirong,Zhang, Weitao,Zhao, Hongmei,et al. Intraoperative diagnosis of benign and malignant breast tissues by fourier transform infrared spectroscopy and support vector machine classification[J]. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE,2015,8(1):972-981.
APA Tian, Peirong.,Zhang, Weitao.,Zhao, Hongmei.,Lei, Yutao.,Cui, Long.,...&Xu, Zhi.(2015).Intraoperative diagnosis of benign and malignant breast tissues by fourier transform infrared spectroscopy and support vector machine classification.INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE,8(1),972-981.
MLA Tian, Peirong,et al."Intraoperative diagnosis of benign and malignant breast tissues by fourier transform infrared spectroscopy and support vector machine classification".INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE 8.1(2015):972-981.
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