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Possibility of using near infrared irradiation for prostate cancer imaging and its early diagnosis
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Journal of Bioengineering & Biomedical Science

ISSN: 2155-9538

Open Access

Possibility of using near infrared irradiation for prostate cancer imaging and its early diagnosis


3rd International Conference on Medical Physics & Biomedical Engineering

November 07-08, 2016 Barcelona, Spain

Besarion Partsvania

Georgian Technical University, Georgia

Posters & Accepted Abstracts: J Bioengineer & Biomedical Sci

Abstract :

Prostate cancer is the second cause of cancer death in men worldwide. The existing methods of prostate cancer imaging are magnetic resonance imaging (MRI) and positron emission tomography (PET). However, main drawback of these methods is that they are not able to detect small volumes of cancerous outgrowths. Besides, these methods are highly complicated and partially invasive. This circumstance resulted in searching of a simpler, non-invasive method for the detection of prostate cancer at early stage of its development when tumor dimensions are small. In the present work, we show that near-infrared irradiation (NIR) can be used for visualization and diagnosis of cancer outgrowth in the prostate in vitro. Experiments were carried out on the prostates derived from radical prostatectomy. After operation, a prostate was examined by the use of infrared rays and trans-illumination images were obtained. For this purpose, prostate was illuminated with near infrared radiation (NIR) by the means of light emitting diodes (850-920 nm). NIR passing through the prostate was captured by charge-coupled device (CCD camera) which in turn was connected to PC. Intensity of near infrared light passing through the noncancerous prostate tissue is nearly homogeneous. Intensity of near infrared light passing through the cancerous outgrowth is lower than the intensity passing through the non-cancerous tissue of the same prostate; thereby cancerous formations are differentiated as the dark areas in the relatively white background. Specially developed software analyzes and processes a distribution of intensities of the grayscale images, measures the ratios of their strength and determines the rate of prostate malignancy.

Biography :

Email: besari2@yahoo.com

Google Scholar citation report
Citations: 307

Journal of Bioengineering & Biomedical Science received 307 citations as per Google Scholar report

Journal of Bioengineering & Biomedical Science peer review process verified at publons

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