相关实验视频

Updated: Sep 12, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

预测早期宫平细胞癌的淋巴血管空间入侵,使用心率变化率

Junlong Fang¹, Ming Liu², Zhijing Song³

¹School of Clinical Medicine, Bengbu Medical University, Bengbu, Anhui, China.

Frontiers in oncology

|August 5, 2025

概括

手术前心率变化 (HRV) 有效预测早期宫癌的淋巴血管空间入侵 (LVSI). 这种非侵入性方法有望改善治疗决策和患者预后.

科学领域:

在瘤学瘤学.
心脏病学心脏病学
医学诊断医学诊断医学诊断

背景情况:

精确的淋巴血管空间入侵 (LVSI) 的术前评估对于早期宫支状细胞癌 (ECSCC) 治疗和预后至关重要.
目前的LVSI评估依赖于侵入性病理活检,需要更方便的方法.
这项研究调查了手术前心率变化 (HRV) 参数的潜力,以预测ECSCC LVSI.

研究的目的:

评估手术前心率变化 (HRV) 参数在预测早期宫平细胞癌 (ECSCC) 中淋巴血管空间入侵 (LVSI) 的诊断价值.
建立一种非侵入性方法来评估LVSI状态,帮助治疗规划和ECSCC患者的预后预测.

主要方法:

分析了79名ECSCC患者,根据病理学分为LVSI阳性和LVSI阴性组.
采集了手术前5分钟心电图 (ECG) 数据,以分析时间域,频域和非线性HRV参数.
开发并验证了一种包含HRV特征,年龄,BMI,更年期状态和平均心率的后勤回归模型.

主要成果:

后勤模型在ECSCC中显示了LVSI地位的良好预测性能.
关键性能指标包括曲线下的面积 (AUC) 为0.845,灵敏度为0.871,特异性为0.750,精度为0.690,精度为0.747.

结论:

利用HRV特征的物流模型显示出有希望的诊断能力,用于预测ECSCC中的LVSI.
建议对更大的数据集,额外的功能和机器学习集成进行进一步的研究,以提高预测准确度.

关键词:

自主神经系统自主神经系统宫癌:子宫癌是一种癌症.宫状状细胞癌是什么心率变化的心率变化.淋巴血管的空间入侵.

更多相关视频

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

相关概念视频

Factors Influencing Heart Rate

Factors Influencing Heart Rate

The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...

Correlation between ECG and Cardiac Cycle

Correlation between ECG and Cardiac Cycle

The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...