低剂量肝脏CT与深度学习重建的图像质量和诊断性能与标准剂量CT相比
Dong Ho Lee1, Jeong Min Lee1, Chang Hee Lee1
1From the Departments of Radiology of Seoul National University Hospital, Seoul, South Korea (D.H.L., J.M.L.); Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea (D.H.L., J.M.L.); Korea University Guro Hospital, Korea University Medicine, Seoul, South Korea (C.H.L.); and Tübingen University Hospital, Tübingen, Germany (S.A., A.O.).
Radiology. Artificial intelligence
|January 17, 2024
概括
低剂量CT (LDCT) 与深度学习无效化提供了减少肝脏图像噪声和对恶性瘤的可比诊断性能与标准剂量CT (SDCT). 这项研究证实了LDCT的情况.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 在瘤学瘤学.
背景情况:
- 标准剂量CT (SDCT) 提供高质量的肝脏成像,但涉及显著的辐射暴露.
- 低剂量CT (LDCT) 技术旨在降低辐射剂量,同时保持诊断效率.
- 基于深度学习的解密 (DLD) 和基于模型的代重建 (MBIR) 是先进的重建算法.
研究的目的:
- 为了比较LDCT与DLD的图像质量和诊断能力与SDCT与MBIR在检测恶性肝脏瘤中的SDCT.
- 评估LDCT是否实现了与SDCT无差的诊断性能.
主要方法:
- 一项前性,多中心的非劣势性研究招募了296名参与者接受肝脏CT扫描.
- 使用MBIR重建了SDCT图像 (67% + 33%剂量).
- 使用DLD (33%剂量) 重建LDCT图像.
- 图像噪声被测量,三名放射科医生对恶性肝癌的诊断性能进行了评估.
主要成果:
- 与SDCT (10.7) (P < .001) 相比,LDCT显示肝脏图像噪声 (10.1) 显著降低 (P < .001).
- 检测恶性肝脏瘤的读者平均功效 (FOM) 是相似的:SDCT的0.880和LDCT的0.875.
- 发现LDCT与SDCT没有劣势,FOM的差异在预定义的非劣势差距内 (-0.005 [95%CI: -0.024,0.012]).
结论:
- 使用33%的标准辐射剂量的LDCT,用DLD重建,与使用MBIR的SDCT相比,提供更低的图像噪声.
- 在检测恶性肝脏瘤方面,LDCT的诊断性能与SDCT相当.
- 这表明LDCT与DLD是肝脏CT的可行的替代方案,可以减少患者的辐射暴露,而不会影响诊断准确度.
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