| 韦有永,王甜甜,罗颖薇,卢林玉,丁艳萍,姚国庆,李清恋,官晓晖.胸部增强CT联合深度学习全模型迭代算法用于支气管动脉成像[J].中国医学影像技术,2025,41(4):530~534 |
| 胸部增强CT联合深度学习全模型迭代算法用于支气管动脉成像 |
| Chest contrast-enhanced CT combined with artificial intelligence iterative reconstruction for bronchial artery imaging |
| 投稿时间：2024-10-19 修订日期：2024-12-02 |
| DOI：10.13929/j.issn.1003-3289.2025.04.005 |
| 中文关键词: 支气管动脉 体层摄影术,X线计算机 人工智能 前瞻性研究 |
| 英文关键词:bronchial arteries tomography, X-ray computed artificial intelligence prospective studies |
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| 摘要点击次数: 243 |
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| 中文摘要: |
| 目的 探讨胸部增强CT(C-CECT)联合深度学习全模型迭代算法(AIIR)用于支气管动脉(BA)成像的价值。方法 前瞻性纳入70例接受C-CECT检查的患者,分别以AIIR(AIIR组)与混合迭代重建(HIR,HIR组)重建图像。由2名医师采用5分法对整体图像质量、BA可追溯性、BA锐利度和诊断BA异常信心进行主观评估,比较组间评分及观察者间评估结果的一致性。比较组间重建图像中胸主动脉、肺动脉干、BA及竖脊肌噪声(SD),上述3支血管相对竖脊肌的对比度噪声比(CNR),以及BA起源处、分叉处与肺门处直径。结果 AIIR组整体图像质量、BA可追溯性、BA边缘锐利度及诊断BA异常信心评分均高于HIR组(P均＜0.001),且观察者间主观评分的一致性较好(Kappa=0.46~0.73)。AIIR组主动脉、肺动脉干、BA及竖脊肌SD均低于、而上述3支血管CNR均高于HIR组(P均＜0.05)。组间BA各处直径差异均无统计学意义(P均＞0.05),而观察者间针对AIIR组测量结果的一致性高于HIR组(组内相关系数:0.89~0.94 vs. 0.63~0.78)。结论 C-CECT联合AIIR可显著提升BA成像质量与诊断信心。 |
| 英文摘要: |
| Objective To investigate the value of chest contrast-enhanced CT (C-CECT) combined with artificial intelligence iterative reconstruction (AIIR) for bronchial artery (BA) imaging. Methods Seventy patients who underwent C-CECT were prospectively enrolled. The images were reconstructed with AIIR (AIIR group) and hybrid iterative reconstruction (HIR, HIR group), respectively. The overall image quality, the traceability of BA, the sharpness of BA and the diagnostic confidence of abnormalities of BA were subjectively graded using a 5-point scale by two radiologists, respectively. The subjective scores and inter-observer agreement were compared between groups. The noise (SD) in reconstructed images of thoracic aorta, pulmonary trunk, BA and spinal erectors, the contrast-to-noise ratio (CNR) of the above 3 arteries relative to spinal erectors, and the diameters of BA at the origin, bifurcation and pulmonary hilum were compared between groups. Results The scores of the overall image quality, the traceability of BA, the sharpness of BA and the diagnostic confidence of abnormalities of BA were all significantly higher in AIIR group than those in HIR group (all P＜0.001), all with good inter-observer agreement (Kappa=0.46—0.73). SD of the aorta, pulmonary artery trunk, BA and erector spinal muscle in AIIR group were lower than those in HIR group, while CNR of above 3 arteries were higher than those in HIR group (all P＜0.05). No significant difference of the diameter of BA at each position was found between groups (all P＞0.05), while the consistency of measurement of AIIR group was higher than that of HIR group (intra-class correlation coefficient: 0.89—0.94 vs. 0.63—0.78). Conclusion C-CECT combined with AIIR could significantly improve imaging quality and diagnostic confidence of BA. |
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