基于2-[18F]FDG PET/CT代谢参数和临床变量的多参数诊断模型可以在经过修订的儿童瘤组分类系统下区分高风险和非高风险的儿科神经母细胞瘤
Yanfeng Xu1, Yukun Si2, Jun Liu1
1Nuclear Medicine Department, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Quantitative imaging in medicine and surgery
|March 31, 2025
概括
将多参数2[18F]FDG PET/CT扫描与临床数据相结合,可以改善儿科神经母细胞瘤 (NB) 的风险分层. 这种组合模型准确地区分高风险和非高风险的NB患者,帮助治疗决策.
科学领域:
- 核医学是一种核医学.
- 在瘤学瘤学.
- 儿科成像学 儿科成像学
背景情况:
- 准确的风险分层对于使用修订的儿童瘤组 (COG) 分类的儿科神经母细胞瘤 (NB) 患者至关重要.
- 需要非侵入性诊断方法来准确评估NB的风险.
研究的目的:
- 评估将2-[18F]-D-葡萄糖正子发射断层扫描/计算机断层扫描 (2-[18F]FDG PET/CT) 的代谢参数与临床变量相结合的诊断疗效.
- 根据修订的COG分类,区分高风险和非高风险的儿科NB.
主要方法:
- 89名接受预治疗的儿科NB患者的回顾性分析 2-[18F]FDG PET/CT.
- 对代谢参数的评估:SUVmax,SUVmean,MTV和TLG.
- 使用ROC曲线,IDI,NRI和DCA进行诊断性能比较.
主要成果:
- 总损伤糖解 (TLG) 在代谢参数中显示出最高的诊断值 (AUC=0.764).
- 包括年龄,性别,INRGSS阶段和TLG在内的综合模型实现了最高的AUC (0.932).
- 与单独TLG相比,组合模型显著提高了诊断效率 (P<0.001).
结论:
- 集成2-[18F]FDG PET/CT代谢和临床参数的多参数诊断模型非常有效.
- 该模型显示出在修订后的COG系统下,在区分高风险和非高风险儿科NB方面具有很好的价值.
相关概念视频
Receiver Operating Characteristic Plot
67
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
67
Mechanistic Models: Compartment Models in Individual and Population Analysis
19
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
19


