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Diagnostic tool for early detection of ovarian cancers using Ramanspectroscopy

机译:利用拉曼光谱检测卵巢癌的诊断工具

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With an overall survival rate of about 35 percent, ovarian cancer claims more than 13,000 women in the US each year. It is estimated that roughly 1 in 70 women will develop ovarian cancer. Current screening techniques are challenged due to cost-effectiveness, variable false-positive results, and the asymptomatic nature of the early stages of ovarian cancer. The predominant screening method for ovarian cancers is transvaginal sonography (TVS). TVS is fairly accomplished at ovarian cancer detection, however it is inefficient in distinguishing between benign and malignant masses. Accurate diagnosis of the ovarian tumor relies on exploratory laparotomy, thus increasing the cost and hazard of false- positive screening methods. Raman spectroscopy has been sued successfully as a diagnostic tool in several organ systems in vitro. These studies have shown that Raman spectroscopy can be used to provide diagnosis of subtle changes in tissue pathology with high accuracy. Based on this success, we have developed a Raman spectroscopic system for application in the ovary. Using this system, the Raman signatures of normal and various types of non-normal human ovarian tissues were characterized in vitro. Raman spectra are being analyzed, and empirical as well as multivariate discriminatory algorithms developed. Based on the result of this study, a strategy for in vivo trials will be planned.
机译:总生存率约为35%,卵巢癌每年在美国超过13,000名女性。据估计,70例女性大约是卵巢癌的约1。由于成本效益,可变假阳性结果以及卵巢癌早期阶段的无症状,当前的筛选技术受到挑战。卵巢癌的主要筛选方法是经诊断超声超声(TV)。电视在卵巢癌检测中公平地完成,然而,在良性和恶性肿块之间区分效率低下。准确诊断卵巢肿瘤依赖于探索性剖腹手术,从而提高了假辐射方法的成本和危害。拉曼光谱通过在体外若干器官系统中成功起作用。这些研究表明,拉曼光谱可用于提供高精度的组织病理学中微妙变化的诊断。基于这一成功,我们开发了一种在卵巢中应用的拉曼光谱系统。使用该系统,在体外表征正常和各种非正常人卵巢组织的拉曼签名。正在分析拉曼光谱,以及经验和多元鉴别算法开发。根据本研究的结果,将计划体内试验的策略。

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