首页> 美国卫生研究院文献>Biomedical Optics Express >Identifying non-muscle-invasive and muscle-invasive bladder cancer based on blood serum surface-enhanced Raman spectroscopy
【2h】

Identifying non-muscle-invasive and muscle-invasive bladder cancer based on blood serum surface-enhanced Raman spectroscopy

机译:基于血清表面增强拉曼光谱法鉴定非肌肉浸润性和肌肉浸润性膀胱癌

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The assessment of the muscle invasion of bladder cancer typically plays a crucial role in therapeutic decision-making and has significant impacts on the recurrence rate and survival rate. Although histopathology is sufficiently accurate and usually served as the gold standard for bladder cancer diagnosis, it is invasive, time-consuming, and requires intensive sample preparation by a well-trained pathologist to achieve an optimal diagnosis. Therefore, a fast and noninvasive method to accurately identify non-muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC) is in demand. In this study, the SERS technique combined with the PLS-LDA method based on a small amount of blood serum samples is employed to distinguish healthy volunteers, NMIBC, and MIBC patients. According to the results, the overall diagnostic accuracy is 93.3%. The diagnostic accuracies are 97.8% and 93.2% for healthy versus bladder cancer groups and NMIBC versus MIBC groups, respectively. Therefore, the proposed method has demonstrated excellent performance on accurately identifying muscle invasion of bladder cancer, which can assist timely diagnosis and proper treatment for bladder cancer patients.
机译:膀胱癌肌肉浸润的评估通常在治疗决策中起着至关重要的作用,并且对复发率和生存率有重大影响。尽管组织病理学足够准确,通常被用作膀胱癌诊断的金标准,但它是侵入性的,耗时的,并且需要训练有素的病理学家进行大量的样品制备才能达到最佳诊断。因此,需要一种快速且无创的方法来准确地识别非肌肉浸润性膀胱癌(NMIBC)和肌肉浸润性膀胱癌(MIBC)。在这项研究中,采用基于少量血清样品的SERS技术与PLS-LDA方法相结合来区分健康志愿者,NMIBC和MIBC患者。根据结果​​,总体诊断准确性为93.3%。健康组与膀胱癌组以及NMIBC组与MIBC组的诊断准确率分别为97.8%和93.2%。因此,所提出的方法在准确识别膀胱癌的肌肉浸润方面表现出优异的性能,可以帮助及时诊断和正确治疗膀胱癌患者。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号