Multi-modal spectroscopy of breast tissue
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/34121 |
| _version_ | 1811075482918060032 |
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| author | Volynskaya, Zoya I |
| author2 | Michael S. Feld. |
| author_facet | Michael S. Feld. Volynskaya, Zoya I |
| author_sort | Volynskaya, Zoya I |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. |
| first_indexed | 2024-09-23T10:06:49Z |
| format | Thesis |
| id | mit-1721.1/34121 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:06:49Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/341212019-04-11T14:11:23Z Multi-modal spectroscopy of breast tissue Volynskaya, Zoya I Michael S. Feld. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. Includes bibliographical references (leaves 64-66). Breast cancer is the most common form of cancer afflicting women in the United States; one out of eight women will be diagnosed with breast cancer during her lifetime. Currently, screening is performed by a combination of annual clinical breast examinations and x-ray mammography. However, only 10 to 25 percent of suspicious lesions detected during mammography are diagnosed as malignant upon biopsy, which implies that a large number of biopsies can be avoided. Although mammography images anatomic changes, it is not sensitive to the underlying morphological and biochemical changes that distinguish benign and malignant breast lesions. Presently employed diagnostic procedures are invasive, time consuming, and expensive. Thus, there is a clinical need to develop new tools for the early diagnosis of malignancy in the breast. In recent years our laboratory has explored the use of Raman spectroscopy for diagnosing disease; one important area is the detection of breast cancer. Raman spectroscopy provides information about the morphological and biochemical make up of tissue and, with the aid of our diagnostic algorithm, has provided good results in distinguishing between malignant and benign breast lesions, with a sensitivity, specificity, and an overall accuracy of 90, 96, and 86 percent, respectively [Haka,2004]. (cont.) Although these initial results are promising, we would like to improve the overall accuracy. Another promising spectroscopic technique developed in our laboratory is tri-modal spectroscopy (TMS), the combination of diffuse reflectance (DRS), intrinsic fluorescence (IFS), and light scattering spectroscopy (LSS). This technique has been successfully applied to the diagnosis of epithelial neoplastic tissue, leading to the interest in exploring its application to the diagnosis of lesions in breast tissue. Finally, the Raman and DRS/IFS modalities provide complementary information and the combination of this information into a single diagnostic algorithm may provide superior diagnostic capabilities. The central theme of this research is to investigate DRS/IFS as a useful technique for the diagnosis of breast cancer and to evaluate the effectiveness of its combination with Raman spectroscopy. Through this research, we hope to aid the medical community in early diagnosis, treatment, and prevention of breast cancer. by Zoya I. Volynskaya. S.M. 2006-09-28T15:05:19Z 2006-09-28T15:05:19Z 2005 2005 Thesis http://hdl.handle.net/1721.1/34121 67766434 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 66 leaves 3773119 bytes 3775805 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Volynskaya, Zoya I Multi-modal spectroscopy of breast tissue |
| title | Multi-modal spectroscopy of breast tissue |
| title_full | Multi-modal spectroscopy of breast tissue |
| title_fullStr | Multi-modal spectroscopy of breast tissue |
| title_full_unstemmed | Multi-modal spectroscopy of breast tissue |
| title_short | Multi-modal spectroscopy of breast tissue |
| title_sort | multi modal spectroscopy of breast tissue |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/34121 |
| work_keys_str_mv | AT volynskayazoyai multimodalspectroscopyofbreasttissue |