Paper
3 March 2014 Photoacoustic spectroscopy in the monitoring of breast tumor development: a pre-clinical study
Mallika Priya, Bola Sadashiva Satish Rao, Satadru Ray, Krishna Kishore Mahato
Author Affiliations +
Abstract
Breast cancer is the most frequently diagnosed cancer type and its detection at an early stage can reduce the mortality rate substantially. With the aim to detect breast cancer early, by studying tumor progression in nude mice, a pulsed laser induced photoacoustic spectroscopy set up has been designed and developed. MCF-7 cells xenografts were developed using six to eight weeks old female nude mice and tumor tissues were extracted on different days (10th, 15th and 20th Day) post injection and the corresponding photoacoustic spectra were recorded at 281nm excitation. A total of 144 time domain spectra were recorded from 36 animals belonging to the three time points (10th, 15th and 20th day post injection) and converted into frequency domains by Fast Fourier Transform (FFT) tools of the MATLAB algorithms and analyzed. The frequency patterns of the tumor masses on 10th, 15th and 20th day of tumor development showed a gradual increase in intensity at certain frequencies, 5.93 x103 Hz, 15.9 x103 Hz, 29.69 x103 Hz and 32.5 x103 Hz in the FFT patterns indicating that these frequencies were more sensitive towards tumor development. Further analysis of the data yielded a clear variation in the spectral parameters with progression of the disease suggesting that the technique may be suitable for early detection of the disease. Thus, we expect that the developed setup may be useful in assessing the different phases of tumor development which may have clinical implications.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mallika Priya, Bola Sadashiva Satish Rao, Satadru Ray, and Krishna Kishore Mahato "Photoacoustic spectroscopy in the monitoring of breast tumor development: a pre-clinical study", Proc. SPIE 8943, Photons Plus Ultrasound: Imaging and Sensing 2014, 894347 (3 March 2014); https://doi.org/10.1117/12.2039365
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Cited by 2 scholarly publications.
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KEYWORDS
Tumors

Photoacoustic spectroscopy

Breast cancer

Tissues

Statistical analysis

Breast

Cancer

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