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Journal of Ovarian Research

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Open Access 01-12-2010 | Research

Analysis of ovarian tumor pathology by Fourier Transform Infrared Spectroscopy

Authors: Ranjana Mehrotra, Gunjan Tyagi, Deepak K Jangir, Ramesh Dawar, Noopur Gupta

Published in: Journal of Ovarian Research | Issue 1/2010

Abstract

Background

Ovarian cancer is the second most common cancer among women and the leading cause of death among gynecologic malignancies. In recent years, infrared (IR) spectroscopy has gained attention as a simple and inexpensive method for the biomedical study of several diseases. In the present study infrared spectra of normal and malignant ovarian tissues were recorded in the 650 cm^-1 to 4000 cm^-1 region.

Methods

Post surgical tissue samples were taken from the normal and tumor sections of the tissue. Fourier Transform Infrared (FTIR) data on twelve cases of ovarian cancer with different grades of malignancy from patients of different age groups were analyzed.

Results

Significant spectral differences between the normal and the ovarian cancerous tissues were observed. In particular changes in frequency and intensity in the spectral region of protein, nucleic acid and lipid vibrational modes were observed. It was evident that the sample-to-sample or patient-to-patient variations were small and the spectral differences between normal and diseased tissues were reproducible.

Conclusion

The measured spectroscopic features, which are the spectroscopic fingerprints of the tissues, provided the important differentiating information about the malignant and normal tissues. The findings of this study demonstrate the possible use of infrared spectroscopy in differentiating normal and malignant ovarian tissues.

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Title: Analysis of ovarian tumor pathology by Fourier Transform Infrared Spectroscopy
Authors: Ranjana Mehrotra
Gunjan Tyagi
Deepak K Jangir
Ramesh Dawar
Noopur Gupta
Publication date: 01-12-2010
Publisher: BioMed Central
Published in: Journal of Ovarian Research / Issue 1/2010
Electronic ISSN: 1757-2215
DOI: https://doi.org/10.1186/1757-2215-3-27

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Analysis of ovarian tumor pathology by Fourier Transform Infrared Spectroscopy

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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