Literature DB >> 23839487

Visible and near-infrared spectroscopy for distinguishing malignant tumor tissue from benign tumor and normal breast tissues in vitro.

Yang Zhang1, Yongjun Chen, Yuan Yu, Xingbo Xue, Valery V Tuchin, Dan Zhu.   

Abstract

The high incidence and mortality of breast cancer requires an effective, rapid, and cost-effective method for its diagnosis. Here, visible and near-infrared spectroscopy in the wavelength range of 400 to 2200 nm is utilized for distinguishing the malignant tumor tissue from benign tumor and normal breast tissues. Based on the absorption and scattering spectra of fixed samples, three spectral analysis methods are proposed which include an absorption spectral analysis, a scattering spectral analysis, and a combined spectral analysis of the two. By comparison with the histopathological examination, the sensitivity, specificity, and accuracy of the three analysis methods are calculated. The results showed that the combined spectral analysis method can significantly enhance the effectiveness when compared with the sole absorption or scattering spectral analysis method. The sensitivity, specificity, and accuracy of the combined spectral analysis method are 100%, 87.82%, and 87.50% for the benign tumor tissue and 81.82%, 100%, and 87.5% for malignant tumor tissue, respectively. All of the three values are 100% for normal breast tissue. This study demonstrates that the combined spectral analysis method has better potential for in vitro optical diagnosis for breast lesions.

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Year:  2013        PMID: 23839487     DOI: 10.1117/1.JBO.18.7.077003

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  6 in total

Review 1.  Medical hyperspectral imaging: a review.

Authors:  Guolan Lu; Baowei Fei
Journal:  J Biomed Opt       Date:  2014-01       Impact factor: 3.170

2.  Correction of an adding-doubling inversion algorithm for the measurement of the optical parameters of turbid media.

Authors:  Paul Lemaillet; Catherine C Cooksey; Jeeseong Hwang; Heidrun Wabnitz; Dirk Grosenick; Lin Yang; David W Allen
Journal:  Biomed Opt Express       Date:  2017-12-04       Impact factor: 3.732

3.  Detection of human brain cancer infiltration ex vivo and in vivo using quantitative optical coherence tomography.

Authors:  Carmen Kut; Kaisorn L Chaichana; Jiefeng Xi; Shaan M Raza; Xiaobu Ye; Elliot R McVeigh; Fausto J Rodriguez; Alfredo Quiñones-Hinojosa; Xingde Li
Journal:  Sci Transl Med       Date:  2015-06-17       Impact factor: 17.956

4.  Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics.

Authors:  Andrey Bogomolov; Urszula Zabarylo; Dmitry Kirsanov; Valeria Belikova; Vladimir Ageev; Iskander Usenov; Vladislav Galyanin; Olaf Minet; Tatiana Sakharova; Georgy Danielyan; Elena Feliksberger; Viacheslav Artyushenko
Journal:  Sensors (Basel)       Date:  2017-08-19       Impact factor: 3.576

Review 5.  Applications of hyperspectral imaging in the detection and diagnosis of solid tumors.

Authors:  Yating Zhang; Xiaoqian Wu; Li He; Chan Meng; Shunda Du; Jie Bao; Yongchang Zheng
Journal:  Transl Cancer Res       Date:  2020-02       Impact factor: 1.241

6.  Variations in tissue optical parameters with the incident power of an infrared laser.

Authors:  Omnia Hamdy; Haitham S Mohammed
Journal:  PLoS One       Date:  2022-01-31       Impact factor: 3.240

  6 in total

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