自动定量评估与年龄相关的胸膜卷曲在平坦胸部CTCT上的自动定量评估
Yuki T Okamura1, Katsuhiro Endo2, Akira Toriihara3
1Department of Internal Medicine, Asahi General Hospital, 1326 I, Asahi, Chiba, Japan. okamura-yuki@g.ecc.u-tokyo.ac.jp.
Annals of biomedical engineering
|July 19, 2025
概括
研究人员开发了一种使用胸部CT扫描的自动化方法,以量化与年龄相关的胸内变化. 这种新技术准确地测量了胸膜组织体积,有助于了解免疫系统的衰老.
科学领域:
- 免疫学 免疫学 免疫学
- 放射学 放射学是一门学科.
- 计算生物学 计算生物学
背景情况:
- 胸腺对于T细胞生成至关重要,其与年龄相关的衰退 (卷积) 与病理有关.
- 目前的方法缺乏从临床图像中客观量化胸膜内变.
研究的目的:
- 建立一个客观的,自动化的方法来量化与年龄相关的胸膜内变,使用普通胸部计算机断层扫描 (CT) 图像.
- 定义和细分胸膜区域进行量化 (TRQ) 并开发胸膜体积 (ETV) 估计器.
主要方法:
- 在135个CT研究中对TRQ进行手动细分,用于神经网络 (NN) 模型训练.
- 开发一个NN模型用于自动化TRQ细分.
- 基于NN分段TRQ的Hounsfield单位 (HU) 值和853名健康受试者的体积计算ETV.
- 用于分析与ETV的年龄和性别关系的量子增量回归模型.
主要成果:
- 在NN细分和手工细分的TRQ之间存在很高的相关性 (HU的r=0.996,体积的r=0.986).
- ETV显示随着年龄的增长呈指数级下降 (p < 0.001),证实了与年龄相关的胸膜组织损失.
- 开发的方法提供了对胸膜内变的可靠量化.
结论:
- 这种新型的自动化方法准确地从胸部CT扫描中量化了与年龄相关的胸膜内置.
- 这种方法可能有助于预测和分类与胸膜卷变相关的病理.
- 该ETV作为一个可靠的指标,表皮组织体积与年龄的下降.
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