传统和基于人工智能的计算机断层扫描和磁共振成像定量技术用于非侵入性肝纤维化病的分期
Shuang Zheng1, Kan He1, Lei Zhang1
1Department of Radiology, the First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, Jilin, China.
European journal of radiology
|June 8, 2023
概括
本综述探讨了非侵入性CT和MRI技术,用于诊断慢性肝病 (CLD) 中的肝纤维化阶段. 它强调了人工智能 (AI) 在改善肝纤维化阶段诊断的诊断准确性方面的潜力.
科学领域:
- 医疗成像医学成像
- 肝病学 肝病学是一种肝病学.
- 人工智能的人工智能
背景情况:
- 慢性肝病 (CLD) 进展为肝纤维化和肝硬化,构成全球卫生挑战.
- 准确的肝纤维化分期对于患者的预后,治疗和CLD监测至关重要.
- 传统的肝脏活检方法具有局限性,包括广泛使用的风险和技术挑战.
研究的目的:
- 审查传统和基于人工智能的CT和MRI定量技术对非侵入性肝纤维化病阶段的有用性.
- 总结这些成像方法的诊断性能,优势和局限性.
主要方法:
- 审查现有关于CT和MRI定量技术的文献,用于肝纤维化病阶段.
- 包括使用人工智能 (AI) 应用程序与CT和MRI结合进行的研究.
- 对诊断性能指标,优势和局限性的分析.
主要成果:
- CT和MRI提供了评估肝纤维化的非侵入性方法,补充了传统的活检方法.
- 基于人工智能的定量技术在提高肝纤维化阶段的准确性方面表现有前途.
- 传统的成像方法已经确立了角色,而人工智能集成代表了一个不断发展的领域.
结论:
- 非侵入性CT和MRI定量技术,特别是AI整合,是CLD肝纤维化阶段的宝贵工具.
- 这些方法为与肝活检相关的局限性提供了潜在的解决方案.
- 对人工智能驱动的成像分析的进一步研究可以完善非侵入性肝纤维化评估.
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