化学计量学
光谱学
结直肠癌
拉曼光谱
红外光谱学
计算机科学
材料科学
分析化学(期刊)
癌症
金标准(测试)
近红外光谱
化学
表面增强拉曼光谱
生物医学工程
癌症治疗
计算生物学
医学物理学
癌症预防
临床实习
癌症筛查
偏最小二乘回归
医学
红外线的
纳米技术
作者
Parisa Navid,Hamid Reza Akbari Hasanjani
标识
DOI:10.1080/10408347.2025.2587780
摘要
Colorectal Cancer (CC) is recognized as the third most prevalent cancer worldwide and constitutes a major cause of cancer-related fatalities among both genders. Current diagnostic approaches for CC exhibit several notable limitations; they are frequently invasive, their accuracy may vary based on the operator and the patient, and they might lack sufficient precision. Raman Spectroscopy (RS) and Infrared (IR) spectroscopy have surfaced as promising alternatives owing to their potential as swift and noninvasive diagnostic modalities. Nevertheless, spectroscopic methods produce extensive and intricate datasets characterized by overlapping peaks and subtle differences, which complicates direct visual interpretation. This review is dedicated to examining the chemometric techniques utilized in RS and IR spectroscopy for the diagnosis and evaluation of CC. Throughout this paper, we explore the experimental applications of chemometrics in conjunction with RS and IR spectroscopy. Chemometric algorithms, when integrated with RS and IR spectroscopy, have demonstrated their efficacy as robust tools for the detection, classification, and analysis of various colorectal cancer matrices. Indeed, it has been shown how chemometrics can be effectively applied in a variety of CC analysis.
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