文章：

结直肠癌患者术后愈合评估的光谱学核磁共振与傅里叶变换红外联用方法探索：一项初步研究

Spectroscopic Nuclear Magnetic Resonance and Fourier Transform–Infrared Approach Used for the Evaluation of Healing After Surgical Interventions for Patients with Colorectal Cancer: A Pilot Study

原文发布日期：5 March 2025

DOI: 10.3390/cancers17050887

类型: Article

开放获取: 是

英文摘要：

Background/Objectives:Colorectal cancer (CRC) is one of the most common and deadly types of cancer. Compared with the classical histopathological approach, this study discusses the application of1H NMR and FT-IR techniques for the fast evaluation degree of healing of patients with CRC after surgical intervention.Methods:Native and deproteinized blood plasma collected from 10 patients with confirmed CRC and 20 healthy volunteers were analyzed using1H NMRT2distributions and FT-IR spectra measured for samples collected before and 7 days after surgery. The average FT-IR spectrum from 20 healthy volunteers is also presented. Principal component analysis (PCA) was performed on the FT-IR spectra. The results were used for further statistical analysis using receiver operating characteristic (ROC) and area under the curve (AUC) and to produce a series of prediction maps using a machine learning library.Results:Both experimental methods combined with analysis methods demonstrated that the native blood plasma samples can be better used to predict the CRC patients’ evolution 7 days after surgery. Three patients showed a significant evolution by1H NMRT2distribution, correlated to the observation of FT-IR–PCA analysis. Maps of medical state probability were generated using a trained machine learning-based ANN.Conclusions:The experimental measurements combined with an advanced statistical analysis and machine learning were successfully used and show that the healing process of patients with CRC is not linear, from the preoperative state to the state associated with healthy volunteers, but passes through a distinct healing state

摘要翻译： 

背景/目的：结直肠癌（CRC）是最常见且致命的癌症类型之一。与经典的组织病理学方法相比，本研究探讨了应用1H NMR和FT-IR技术快速评估CRC患者手术干预后愈合程度的方法。方法：对10例确诊CRC患者和20名健康志愿者采集的天然血浆和去蛋白血浆样本进行分析，使用1H NMR T2分布和FT-IR光谱测量手术前及术后7天采集的样本。同时提供了20名健康志愿者的平均FT-IR光谱。对FT-IR光谱进行主成分分析（PCA），并利用受试者工作特征（ROC）和曲线下面积（AUC）进行进一步统计分析，通过机器学习库生成一系列预测图谱。结果：两种实验方法结合分析方法均表明，天然血浆样本能更好地预测CRC患者术后7天的病情演变。通过1H NMR T2分布显示三名患者出现显著变化，这与FT-IR-PCA分析结果一致。利用训练后的基于机器学习的ANN生成了医疗状态概率图谱。结论：实验测量结合高级统计分析和机器学习方法成功应用，表明CRC患者的愈合过程并非从术前状态线性过渡至健康志愿者相关状态，而是经历一个独特的愈合阶段。

原文链接：

Spectroscopic Nuclear Magnetic Resonance and Fourier Transform–Infrared Approach Used for the Evaluation of Healing After Surgical Interventions for Patients with Colorectal Cancer: A Pilot Study