基于智能辅助诊断系统的计算机断层扫描 (CT) 结构化报告生成,用于直肠癌分期和评估其临床应用
1Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China; Anhui Medical University, Hefei, China.
Clinical radiology
|November 1, 2025
概括
智能辅助诊断系统 (IADS-R) 显著提高了初级放射科医生在直肠癌分期和结构化报告 (SR) 中的准确性和效率. 这种人工智能工具有助于他们获得与经验丰富的高级放射科医生相似的结果.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能在医学中的应用
- 在瘤学瘤学.
背景情况:
- 准确的直肠癌分期对于有效的治疗计划至关重要.
- 计算机断层扫描 (CT) 结构化报告 (SR) 提高了诊断的一致性.
- 人工智能辅助的工具可能会提高放射科医生的表现.
研究的目的:
- 评估用于直肠癌分期的智能辅助诊断系统 (IADS-R) 的临床实用性.
- 评估IADS-R对产生CT的不同经验水平的放射科医生的影响.
- 为了比较诊断准确度,报告一致性和时间效率,使用和不使用IADS-R.
主要方法:
- 使用400个直肠癌CT数据集训练了一个卷积神经网络模型.
- 在250个额外的CT数据集上验证了模型.
- 在高级放射科医生,初级放射科医生和IADS-R辅助的初级放射科医生中比较了T阶段和N阶段的准确性,SR的一致性和报告生成时间.
主要成果:
- IADS-R辅助的初级生达到T分期准确率为81.2%和N分期准确率为81.6%,相当于高级放射科医生 (78.0%T,77.6%N).
- 受辅助的初中生比未受辅助的初中生准确度明显高 (60.8%T,55.2%N).
- 辅助青少年的SR一致性和报告生成时间与高级放射科医生相匹配,并且比无辅助青少年更快.
结论:
- IADS-R显著提高了初级放射科医生在直肠癌分期和SR的准确性和效率.
- 该系统使初级放射科医生能够在与高级放射科医生相当的水平上表现.
- IADS-R在改善直肠癌诊断方面显示出大量的临床实用性.
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