偏振红外光在孤立前列腺癌显像中的应用

B. Partsvania, G. Kochiashvili, Alex, er Khuskivadze
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引用次数: 1

摘要

目前前列腺癌的影像学诊断方法较为复杂,且具有部分侵袭性。因此,前列腺癌检测的一个关键挑战是使用一种简单而非侵入性的方法。影像学在前列腺癌的无创鉴别、定位和分级中起着至关重要的作用。在本文中,我们证明了使用偏振光近红外(NIR)在体外前列腺癌检测和成像的可能性。由于通过癌变组织的近红外光强度低于通过非癌变组织的近红外光强度,因此癌变组织被区分为相对白色背景中的深色区域。专门开发的软件分析和处理灰度图像的强度分布,测量其强度的比率,并确定前列腺恶性肿瘤的比率。获得的结果可能对前列腺癌早期发展阶段的诊断做出重要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilization of the Polarized Infrared Light for Prostate Cancer Visualization in Isolated Prostates
The current imaging methods for the prostate cancer diagnosis are complicated and partially invasive. Therefore, a key challenge for prostate cancer detection is to use a simple and non-invasive method. Imaging plays a crucial role in the non-invasive identification, localization and grading of prostate carcinoma. In this paper, we demonstrate the possibility using of polarized a near infrared (NIR) light for the in vitro prostate cancer detection and imaging. Because the intensity of NIR light passing through the cancerous outgrowth is lower than the intensity of NIR light passing through the noncancerous one, the cancerous formations are differentiated as the dark areas in the relatively white background. Specially developed software analyses and processes a distribution of intensities of the grayscale images, measures the ratios of their strength, and determines the rate of prostate malignancy. Obtained results may hold promise to make an important contribution to the diagnosis of prostate cancer in the early stage of its development.
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