超鼻腔的放射学:计算机辅助技术的系统审查,以评估计算机断层扫描放射数据
Rhea Darbari Kaul1,2,3, Peta-Lee Sacks1, Cedric Thiel1
1Rhinology and Skull Base Research Group, Applied Medical Research Centre, University of New South Wales, Sydney, Australia.
鼻CT扫描的放射学分析正在鼻科中出现. 目前的研究表明潜力,但由于质量最低,临床效用有限.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 鼻科 鼻科是指鼻科的专家.
背景情况:
- 放射学提供了对医学成像数据的定量分析.
- 人工智能 (AI) 方法用于分析放射性数据,用于临床应用.
- 计算机断层扫描 (CT) 图像在鼻科中对于诊断和治疗评估至关重要.
研究的目的:
- 系统地审查分析鼻腔CT扫描中的放射性数据的技术.
主要方法:
- 对奥维德的MEDLINE和EMBASE数据库进行系统的文献搜索 (2019年1月 - 2024年3月).
- 遵守PRISMA检查清单和科克莱恩图书馆指南.
- 使用 QUADAS-2 和 PROBAST 工具评估偏差风险.
主要成果:
- 10篇文章符合1456个初始记录中的资格标准.
- 研究包括诊断 (7) 和预后 (3) 分析.
- 分析采用统计方法或机器学习 (AI);诊断/预测实用性各不相同,有些被评为优秀 (AUC-ROC).
结论:
- 放射学表明,它有助于推进鼻科疾病的理解.
- 目前的研究在质量和临床有用性方面是有限的.
- 需要进一步进行高质量的研究,以加强临床应用.
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