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基于睡眠质量评估和多式超声波综合评估的老年分化甲状腺癌风险预测模型
Xudan Lou1, Na Yi1, Yingchun Liu2
1Department of Endocrinology, Huadong Hospital Affiliated to Fudan University, Shanghai, People's Republic of China.
Endocrinology, diabetes & metabolism
|June 28, 2025
概括
这项研究表明,与超声波一起评估睡眠质量可以改善老年患者甲状腺结节的诊断. 一个新的风险模型有助于为甲状腺癌做出临床决策.
科学领域:
- 内分泌学 在内分泌学.
- 在瘤学瘤学.
- 诊断成像 诊断成像 诊断成像
背景情况:
- 在老年人中区分良性和恶性甲状腺结节是具有挑战性的.
- 睡眠质量尚未被广泛研究为甲状腺结节的诊断因素.
- 开发准确的风险预测模型对于指导临床管理至关重要.
研究的目的:
- 研究睡眠质量的诊断价值,以区分老年人的良性和恶性甲状腺结节.
- 构建和验证一个风险预测模型,整合睡眠质量和超声波发现.
- 为老年甲状腺癌患者提供临床治疗决策的基础.
主要方法:
- 收集了临床数据,匹兹堡睡眠质量指数 (PSQI) 评分,以及老年患者的多式超声波数据.
- 利用术后的病理结果作为诊断的黄金标准.
- 采用二进制物流回归和ROC曲线分析来识别风险因素并验证预测模型.
主要成果:
- 确定了独立的风险因素,包括TPOAB阳性,白天功能障碍,PSQI>7,不规则的结节形状,化,血流,高弹性和低对比度增强.
- 综合预测模型的AUC达到0.860,超过了仅使用超声波或超声波与TPOAB的模型.
- 基于名录的模型在验证后表现出优异的区分,校准和临床实用性.
结论:
- 将睡眠质量评估与多式超声波相结合,可以提高老年人甲状腺结节的术前诊断.
- 开发的风险预测模型以名图形式呈现,为临床决策提供了直观可靠的工具.
- 这种方法可以显著提高甲状腺结节的老年患者的手术前诊断准确度.
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