超高分辨率光子计数探测器CT不同空间分辨率下深度学习自动冠脉斑块定量
前瞻性单中心研究纳入70例疑似冠心病患者，行PCD-CT超高分辨率CCTA，重建0.6mm、0.4mm、0.2mm三种层厚。高分辨率提升血管锐利度和钙化/部分钙化斑块诊断信心但增加图像噪声；深度学习定量显示钙化斑块狭窄程度和总斑块体积随分辨率提高而降低，非钙化斑块无差异。
要点
- 0.2mm超高分辨率重建可减少钙化斑块狭窄程度和斑块体积的过度估计。
- 高分辨率重建增加图像噪声，但提升血管锐利度和斑块诊断信心。
- 非钙化斑块的狭窄程度测量不受空间分辨率影响。
关键影像表现/征象
- 更高空间分辨率增强血管锐利度，并提高钙化和部分钙化斑块的诊断信心，但增加感知图像噪声（P<0.05）。
- 钙化斑块狭窄直径随分辨率提高呈下降趋势：UHR 15%（IQR 10-20%）、HR 19%（IQR 10-20.5%）、SR 20%（IQR 11-21%），P=0.011。
- 非钙化斑块狭窄程度在不同分辨率间无差异（P=0.292）。
- 总斑块体积中位数随分辨率提高呈下降趋势：UHR 29.05 mm³（IQR 13.42-58.86 mm³）、HR 31.9 mm³（IQR 16.97-66.82 mm³）、SR 34.21 mm³（IQR 17.13-67.9 mm³），P<0.001。
临床应用与阅片要点
- 在PCD-CT上使用超高分辨率（0.2mm）重建有助于减少钙化斑块狭窄程度和斑块体积的过度估计，利于CAD风险分层。
- 需注意高分辨率重建带来的图像噪声增加，阅片时应结合主观图像质量评估。
- 非钙化斑块的定量测量受分辨率影响较小，可参考标准分辨率结果。
局限性
- 单中心前瞻性研究，样本量70例。
- 仅使用深度学习工具定量，未与金标准（如IVUS或FFR）对比验证。
以上解读依据论文摘要（全文未开放获取或许可不允许翻译转载）。
英文原文（摘要）· 点击展开
RATIONALE AND OBJECTIVES: To evaluate the impact of varying spatial resolutions on image quality, and deep-learning (DL) based quantification of coronary stenosis and plaque volumes using photon-counting detector CT (PCD-CT).
MATERIALS AND METHODS: In this prospective single-center study, 70 patients who were suggestive of coronary artery disease (CAD) and had undergone UHR-CCTA on the PCD-CT system were included. The CCTA datasets were reconstructed with slice thicknesses of standard resolution (SR) 0.6 mm, high spatial resolution (HR) 0.4 mm, and ultra-high resolution (UHR) 0.2 mm. Two radiologists assessed subjective image quality, while a DL-based tool automatically quantified the degree of stenosis and plaque volumes across the three resolutions. The extent of stenosis and plaque volumes were compared between UHR, HR, and SR using the Friedman test with post hoc testing, which had Bonferroni correction (0.05/3 = .017).
RESULTS: Subjective assessment revealed that higher spatial resolution enhanced vessel sharpness, and stronger calcified and partially calcified plaque diagnosis confidence, but concurrently increased perceived image noise (both P < 0.05). The DL-based stenosis evaluation of 139 coronary artery plaques revealed a decreasing trend of stenosis diameter with improving spatial resolution for calcified and partially calcified plaques, particularly for calcified plaques. (UHR, HR, and SR, respectively: 15% [IQR, 10-20%], 19% [IQR, 10-20.5%], and 20% [IQR, 11-21%]; P = 0.011), whereas noncalcified plaques did not show evidence of a difference (P = 0.292). The median plaque volume exhibits a downward trend as the resolution increases (for overall plaque volume, 29.05 mm3[IQR, 13.42 mm3, 58.86 mm3], 31.9 mm3[IQR, 16.97 mm3, 66.82 mm3],34.21 mm3 [IQR, 17.13 mm3, 67.9 mm3], P < 0.001, respectively).
CONCLUSION: Although UHR PCD-CT increases perceived image noise, its superior spatial resolution enhances vessel sharpness and significantly reduces the overestimation of DL-based quantitative plaque volume and stenosis severity in calcified and partially calcified lesions. Recognizing this resolution-dependent variability is essential for reliable CAD risk stratification.
引用
- Liu Y, Li R, Zhang H, et al. Deep Learning-Based Automated Coronary Plaque Quantification with Ultra-high Resolution Photon-Counting Detector CT at Different Spatial Resolutions. Acad Radiol. 2026. PMID: 42161742. doi:10.1016/j.acra.2026.04.026
供执业医师工作参考，不替代临床判断；数值与分级以指南原文为准。