监测宫颈癌放疗后治疗的光谱技术

S. Palled, Nadiah Aldaleeli, K. Ganesh, M. Vadivel, S. Alsalhi
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引用次数: 1

摘要

背景:宫颈癌治疗前和治疗后的评估通常是通过临床检查和放射成像来完成的,这取决于现有的设施。放化疗后肿瘤组织的生物化学发生了巨大的变化,这种变化可以通过血液和尿液的光谱分析来监测生化成分。目的:本研究旨在通过光谱分析评价血液和尿液样品处理前后的生化变化。材料与方法:对69例确诊的宫颈癌进行研究。通过临床检查和影像学检查对治疗前后的病情进行评估。在400 nm处激发并捕获425 nm - 675 nm范围内的发射光谱,对所有患者放疗前后血液和尿液的生化成分进行光谱分析。结果:宫颈癌患者以临床国际妇产联合会IIIB期为主,其次为IIB期和IB期,分别占49.28%、33.33%和8.70%。其余8.70%为术后患者。初步结果令人鼓舞,光谱生物标志物测量与临床和腹部超声扫描监测之间具有良好的相关性(高达66.67%)。结论:本概念验证性研究患者数量有限,具有良好的临床相关性和对患者监测的补充信息。光谱生物标志物分析可能成为一种可靠、廉价的工具,补充或补充昂贵的技术,如计算机断层扫描。
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Spectral technique for monitoring cervical cancer treatment following radiotherapy
Background: The pre- and post-treatment evaluation of cervical cancer is usually done by clinical examination and radiological imaging depending on the facility available. The biochemistry of tumor tissues gets dramatically altered after chemoradiation, and such changes could be monitored by the spectral analysis of blood and urine for biochemical component. Aim: This study aims to evaluate the pre- and post-treatment biochemical changes through spectral analysis of blood and urine samples. Materials and Methods: Sixty-nine diagnosed cases of cervical carcinoma were taken for the study. The pre- and post-treatment evaluation of disease was done by clinical examination and radiological imaging. The biochemical component of blood and urine samples of all patients was analyzed spectroscopically before and after radiotherapy by exciting at 400 nm and capturing the emission spectrum over the range of 425 nm–675 nm. Results: The majority of cervical carcinoma patients were clinical International Federation of Gynecology and Obstetrics Stage IIIB followed by Stage IIB and Stage IB consisting of 49.28%, 33.33%, and 8.70% of cases, respectively. Rest of 8.70% of patients were postoperative. The initial results were found to be encouraging with good correlation (up to 66.67%) between spectral biomarker measurement, and the clinical and abdominal ultrasound scan monitoring. Conclusion: This proof of concept study with a limited number of patients, there was good clinical correlation and supplementary information for monitoring the patients. Spectral biomarker analysis could become a reliable, inexpensive tool complementing or supplementing expensive techniques like computed tomography scan.
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