AI 中文总结
该研究以真实钙化冠状动脉模型为对象，对比dSi-PCCT与EID-CT，发现前者能显著提升冠状动脉狭窄定量评估的准确性，支持后续动态模型及临床CCTA评估。
AI 中文摘要
目的：在解剖学真实的钙化冠状动脉模型中，以Micro-CT作为金标准，评估高分辨率深度硅光子计数CT（dSi-PCCT）对冠状动脉狭窄定量评估的影响。方法：选取12段血管切片，涵盖4种钙化几何形态（I-IV型）和3种管腔碘浓度（10、15、20mg/mL），在静态条件下分别用能量积分探测器CT（EID-CT）、dSi-PCCT和Micro-CT进行扫描。将图像与Micro-CT配准后，采用基于阈值的自动化流程进行分割。主要分析对比以Micro-CT为参考的面积狭窄率纵向轮廓及分割血管面积；次要分析评估最大钙化横切面处椭圆法面积狭窄率和血管面积偏差百分比。结果：dSi-PCCT使以Micro-CT为参考的面积狭窄率全轮廓平均绝对误差从EID-CT的3.10%降至1.62%（p=0.027），分割血管面积误差从0.55mm²降至0.31mm²（p=0.001）。次要分析中，dSi-PCCT的椭圆法面积狭窄率绝对偏差为0.1%-6.5%，EID-CT为0.8%-24.2%（p<0.001）；dSi-PCCT的血管面积偏差与Micro-CT的平均绝对差为15.0%，低于EID-CT的26.6%（p<0.001）。结论：在静态、分辨率优化条件下，dSi-PCCT较EID-CT改善了任务导向的冠状动脉狭窄定量评估和血管勾画，支持在动态模型及临床冠状动脉CT血管成像（CCTA）中开展进一步评估。
英文摘要
Objective: To quantify the impact of high-resolution deep silicon photon-counting CT (dSi-PCCT) on coronary stenosis quantification in anatomically realistic calcified coronary artery phantoms using Micro-CT as ground truth. Methods: Twelve vessel sections representing four calcification geometries (Type I-IV) and three luminal iodine concentrations (10, 15, and 20 mg/mL) were scanned under static conditions using energy-integrating detector CT (EID-CT), dSi-PCCT, and Micro-CT. Images were registered to Micro-CT and segmented using an automated threshold-based pipeline. The primary analysis compared longitudinal profiles of Micro-CT-referenced percent area stenosis and segmented vessel area. A secondary analysis evaluated ellipse-derived percent area stenosis and percent vessel-area deviation at the maximum-calcification cross-section. Results: dSi-PCCT reduced whole-profile mean absolute error in Micro-CT-referenced percent area stenosis from 3.10% with EID-CT to 1.62% (p=0.027) and reduced segmented vessel-area error from 0.55 to 0.31 mm2 (p=0.001). In the secondary analysis, absolute deviations in ellipse-derived percent area stenosis ranged from 0.1% to 6.5% for dSi-PCCT and from 0.8% to 24.2% for EID-CT (p<0.001). Mean absolute differences in percent vessel-area deviation from Micro-CT were also lower with dSi-PCCT than with EID-CT (15.0% vs 26.6%, p<0.001). Conclusion: Under static, resolution-optimized conditions, dSi-PCCT improved task-based coronary stenosis quantification and vessel delineation relative to EID-CT, supporting further evaluation in dynamic phantoms and clinical CCTA.
