Kaldas Marco, Weber Jonathan, Parikh Roosha, Pipitone Karli, Chau Karen, Shin Doosup, Volleberg Rick, Ali Ziad, Khalique Omar K
St. Francis Hospital & Heart Center, Roslyn, NY 11576, USA.
Cardiology Department, Michigan State University, East Lansing, MI 48824, USA,.
J Clin Med. 2025 Apr 22;14(9):2875. doi: 10.3390/jcm14092875.
Cardiovascular risk assessment relies heavily on coronary calcium scoring. With an emphasis on varying slice increments, this study investigates the effectiveness of true and virtual non-contrast reconstructions on photon-counting CT. Reconstruction methods' effects on calcium severity classifications are critical to the improvement in imaging techniques. This study comprised 77 participants (mean age: 63 ± 10 years, 43% female), of whom 0 had a coronary artery calcium score (CACS) of zero. In contrast to true non-contrast (TNC) 3 × 3 mm, the reconstructions included TNC 3 × 1.5 mm, virtual non-contrast (VNC) 3 × 3 mm, and VNC 3 × 1.5 mm. Agatston units served as the basis for classifications into standard clinical diagnostic categories. High concordance between acquisition types was revealed by interclass correlation values (0.97-0.99). Comparing TNC 3 × 1.5 mm reconstructions to their VNC counterparts, misclassifications were less common (Cohen Kappa = 0.94). (K = 0.83-0.85). Significant differences in the average calcium scores and rates of misclassification highlighted the impact of reconstruction methods on precise evaluations. VNC methods demonstrated high agreement; however, with a small rate of misclassifications as compared to the gold standard method. VNC CACS may help optimize workflows but may need differing cutoffs as compared to traditional methods.
心血管风险评估严重依赖于冠状动脉钙化评分。本研究着重于不同的层厚增量,探讨了光子计数CT的真实非增强和虚拟非增强重建的有效性。重建方法对钙化严重程度分类的影响对于成像技术的改进至关重要。本研究纳入了77名参与者(平均年龄:63±10岁,43%为女性),其中0人冠状动脉钙化评分(CACS)为零。与真实非增强(TNC)3×3 mm不同,重建包括TNC 3×1.5 mm、虚拟非增强(VNC)3×3 mm和VNC 3×1.5 mm。阿加斯顿单位作为标准临床诊断类别的分类依据。组内相关值显示采集类型之间具有高度一致性(0.97 - 0.99)。将TNC 3×1.5 mm重建与其VNC对应物进行比较,错误分类较少见(科恩kappa系数 = 0.94)(K = 0.83 - 0.85)。平均钙评分和错误分类率的显著差异突出了重建方法对精确评估的影响。VNC方法显示出高度一致性;然而,与金标准方法相比,错误分类率较低。VNC CACS可能有助于优化工作流程,但与传统方法相比可能需要不同的截断值。