[预测值] 的预测值
Lieke C E Pullen1, Wyanne A Noortman1,2, Lianne Triemstra3
1Biomedical Photonic Imaging Group, University of Twente, 7522 NB Enschede, The Netherlands.
Cancers
|June 10, 2023
概括
[18F]FDG-PET放射学没有改善局部晚期胃癌转移的识别. 虽然在肠道和混合型瘤中观察到轻微改善,但额外的好处并不能证明复杂的分析是合理的.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 局部发达的胃癌在识别腹膜和远程转移方面存在挑战.
- 准确的手术前分期对于治疗计划和患者的治疗结果至关重要.
研究的目的:
- 评估[18F]FDG-PET放射学在改善局部晚期胃癌中腹膜和远程转移的检测方面的有效性.
- 为了比较临床,放射性和临床放射性模型用于转移识别的性能.
主要方法:
- 在未来的多中心PLASTIC研究中对206名患者的[18F]FDG-PET扫描进行分析.
- 提取了105个放射性特征,并开发了三个分类模型 (临床,放射性,临床放射性).
- 模型评估使用曲线下面面积 (AUC) 以重复的随机分割和基于劳伦分类的子组分析.
主要成果:
- 所有模型都在识别转移方面表现不佳 (AUC 0.51-0.59).
- 对肠道和混合型瘤的亚组分析显示,临床放射学模型的中度AUC为0.71,但对于扩散型瘤没有显著改善.
- 将放射性特征添加到临床模型中,只在肠道和混合类型瘤的分类性能上略有改善.
结论:
- [18F]基于FDG-PET的放射学并没有显著提高局部晚期胃癌中转移的术前识别.
- 在特定瘤亚型中观察到的边际改善,由于其复杂性和劳累性,不能证明广泛的放射性分析是合理的.
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