| 李佐霖,林敏,李晓连,何靖华,邱锦程,张建堂,李水平.构建预测甲状腺良性结节热消融术后疗效的列线图模型[J].实用中西医结合临床,2024,24(17): |
| 构建预测甲状腺良性结节热消融术后疗效的列线图模型 |
| To construct a nomogram model for predicting the curative effect of thermal ablation of benign thyroid nodules |
| 投稿时间：2024-06-17 修订日期：2024-08-02 |
| DOI： |
| 中文关键词: 列线图 甲状腺结节 热消融 体积缩小率 影响因素 |
| 英文关键词: Nomogram Thyroid nodule Thermal ablation Volume reduction rate Influencing factors |
| 基金项目:福建省卫生健康青年科研基金资助 |
|
| 摘要点击次数: 37 |
| 全文下载次数: 6 |
| 中文摘要: |
| 目的：构建预测超声引导下甲状腺良性结节热消融术后疗效的列线图模型，并分析影响结节体积缩小率（Volume Reduction Ratio, VRR）的相关因素。
方法：选取2019年1月至2022年6月于龙岩市第一医院行超声引导下甲状腺良性结节热消融术患者作为研究对象。根据术后1年VRR分为疗效满意组（VRR≥70%）和疗效不满意组（VRR＜70%）。采用Logistic回归方法分析消融术后疗效不满意的影响因素，并构建列线图。绘制受试者工作特征（Receiver Operating Characteristic curve, ROC）曲线，对预测效能进行评价。
结果：共纳入427例患者，满意组291例，不满意组136例。两组结节体积、回声、实性成分占比、血流评分、血流分布模式、结节位置危险程度比较差异有统计学意义（均P＜0.05）。其中结节体积越大、高回声、实性成分≥50%、血流评分越高、内部为主的血流模式为影响甲状腺消融术后疗效不满意的独立危险因素。构建诺曼图预测模型的ROC曲线下面积为0.783，显示该模型较好的预测能力。
结论：基于术前资料构建的列线图模型对甲状腺良性结节热消融术后疗效有良好的预测效能，有助于个体化预测及治疗。 |
| 英文摘要: |
| Objective: To construct a nomogram model for predicting the efficacy of ultrasound guided thermal ablation of benign thyroid nodules, and to analyze the related factors affecting the Volume Reduction Ratio (VRR) of nodules.
Methods: Patients who underwent ultrasound-guided thermal ablation of benign thyroid nodules in the First Hospital of Longyan from January 2019 to June 2022 were selected as the research objects. According to the VRR one year after surgery, the patients were divided into two groups: satisfactory group (VRR≥70%) and unsatisfactory group (VRR < 70%). Logistic regression method was used to analyze the influencing factors of unsatisfactory outcomes after ablation, and a nomogram was constructed. The Receiver Operating Characteristic curve (ROC) was plotted to evaluate the prediction efficiency.
Results: A total of 427 patients were included, 291 in the satisfactory group and 136 in the unsatisfactory group. There were significant differences in nodule volume, echo, proportion of solid components, blood flow score, blood flow distribution pattern, and risk degree of nodule location between the two groups (all P < 0.05). The larger nodule volume, high echo, solid component ≥50%, higher blood flow score, and internal blood flow pattern were independent risk factors for unsatisfactory outcomes after thyroid ablation. The area under the ROC curve of the Nomogram prediction model was 0.783, which showed that the model had good predictive ability.
Conclusion: The nomogram model built on the basis of preoperative data can predict the curative effect after thermal ablation of benign thyroid nodule, which is helpful for individualized prediction and treatment. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
