通过不同经验的读者进行手动前列腺MRI细分:对学习进展的研究
Fredrik Langkilde1,2, Patrick Masaba3, Lars Edenbrandt4,5
1Department of Radiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. fredrik.langkilde@gu.se.
European radiology
|January 2, 2024
概括
放射科住院医生在前列腺MRI细分方面取得了很高的准确性. 新手显示出差异性,这表明居民对人工智能数据集的准备更好,平衡成本和质量.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 前列腺MRI细分对于诊断和治疗计划至关重要.
- 评估不那么有经验的读者的学习曲线对于高效的工作流和AI开发很重要.
研究的目的:
- 为了评估读者在前列腺MRI中的不同经验水平的学习进度和细分精度.
- 为了确定不那么有经验的读者是否适合创建用于AI开发的数据集.
主要方法:
- 100个双参数前列腺MRI扫描的回顾性分析.
- 9名读者 (专家,住院医生,新手) 进行了前列腺细分.
- 代反会议和使用子相似系数 (DSC) 的绩效评估.
主要成果:
- 放射科住院医生达到99.2%的准确性 (DSC>0.8).
- 新手从第一轮的47.5%提高到第三轮的84.0%.
- 新手在细分精度上表现出显著的个体间差异.
结论:
- 放射科住院医生,无论经验如何,都能为前列腺MRI细分提供高准确度.
- 新手表现出较低的准确性和更高的可变性,使他们不太适合人工智能数据集准备.
- 雇佣居民为人工智能数据集创建提供了具有成本效益的平衡,而新手则需要个人考虑.
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