诊断早期的异常性肺纤维化:当前状态和未来的前景
Xinya Wang1, Xinrui Xia1, Yihan Hou1
1Department of Basic Medical Sciences, School of Medicine, Shanghai Jiao Tong University, No.227, South Chongqing Road, Huangpu, Shanghai, 200025, P.R. China.
Respiratory research
|May 19, 2025
概括
早期诊断异常性肺纤维化 (IPF) 是至关重要的. 本综述探讨了先进的诊断工具,如人工智能 (AI) 和少入侵的方法,以改善IPF的早期检测.
科学领域:
- 肺部病理学 肺部病理学
- 放射学 放射学是一门学科.
- 医疗信息学 医疗信息学
背景情况:
- 异形性肺纤维化 (IPF) 诊断依赖于通过HRCT或活检识别通常的间歇性肺炎 (UIP) 模式,不包括其他间歇性肺部疾病 (ILD).
- 手动解释肺部成像,有限的知识和非特异性症状阻碍了及时的IPF诊断.
- 早期IPF诊断至关重要,但面临着重大挑战.
研究的目的:
- 提出早期IPF的定义.
- 为了强调早期IPF的诊断紧迫性.
- 审查早期IPF的当前和未来诊断策略.
主要方法:
- 整合人工智能 (AI),机器学习 (ML) 和深度学习 (DL) 以实现标准化和加速的胸部图像解释.
- 探索创新的支气管镜技术:跨支气管肺冷检查 (TBLC),基因组分类器和内支气管光学连贯性断层扫描 (EB-OCT) 作为不那么侵入性的替代方案.
- 评估胸部听觉,血清生物标志物和易感基因,用于早期诊断.
主要成果:
- 人工智能,ML和DL正在通过增强胸部图像分析来彻底改变早期IPF诊断.
- 新的支气管镜技术提供了不那么侵入性的诊断途径.
- 胸部听觉,生物标志物和遗传因素是早期IPF检测的关键指标.
结论:
- 完善早期IPF的诊断方法和治疗策略需要持续的研究.
- 人工智能和创新的支气管镜技术显示出改善早期IPF诊断的希望.
- 结合成像,少侵入性手术和生物标志物的多方面的方法对于促进早期IPF检测至关重要.
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