ISSN 1004-4140
CN 11-3017/P
江楠, 杨洋, 李刚锋, 等. 双能量CT在孤立性肺结节诊断中的研究进展[J]. CT理论与应用研究(中英文), xxxx, x(x): 1-7. DOI: 10.15953/j.ctta.2024.066.
引用本文: 江楠, 杨洋, 李刚锋, 等. 双能量CT在孤立性肺结节诊断中的研究进展[J]. CT理论与应用研究(中英文), xxxx, x(x): 1-7. DOI: 10.15953/j.ctta.2024.066.
JIANG N, YANG Y, LI G F, et al. Advances in Dual-energy CT for the Diagnosis of Solitary Pulmonary Nodules[J]. CT Theory and Applications, xxxx, x(x): 1-7. DOI: 10.15953/j.ctta.2024.066. (in Chinese).
Citation: JIANG N, YANG Y, LI G F, et al. Advances in Dual-energy CT for the Diagnosis of Solitary Pulmonary Nodules[J]. CT Theory and Applications, xxxx, x(x): 1-7. DOI: 10.15953/j.ctta.2024.066. (in Chinese).

双能量CT在孤立性肺结节诊断中的研究进展

Advances in Dual-energy CT for the Diagnosis of Solitary Pulmonary Nodules

  • 摘要: 随着高分辨率薄层CT的普及,表现为孤立性肺结节的早期无症状肺癌检出率大幅提升。结节的良恶性鉴别和组织病理学分型是临床诊断的重点、难点,对于治疗决策具有重大意义。传统CT围绕结节的大小、密度和形态特征等进行评估,诊断模式较为单一;而双能量CT基于两个不同能级成像时的组织衰减差异可以实现物质分离,使CT成像从单参数向多参数发展,不仅为结节的早期精准诊断提供更多有价值的信息,还有助于理解肿瘤的进展及异质性。此外,基于人工智能的影像组学与双能量CT多参数图像相结合在诊断中展现出巨大的潜力,相关研究正处于探索阶段。本文将围绕双能量CT在孤立性肺结节诊断中的应用展开综述,重点关注多参数图像对于肺结节精准诊断的意义,以及未来的发展方向。

     

    Abstract: With the popularization of high-resolution thin-layer CT, the detection rate of early asymptomatic lung cancer that manifests as solitary pulmonary nodules has significantly increased. The differentiation of benign from malignant nodules and histopathological classification are the keys to and challenges of clinical diagnoses, the accuracy of which is of great significance for treatment decision-making. Traditional CT evaluates nodules based on their size, density, and morphological characteristics with single modal imaging. Dual-energy CT achieves material separation based on attenuation differences in the same tissue at two different energy levels, which allows CT imaging to evolve from a single-parameter to multi-parameter measurements. This not only provides more valuable information for the early and accurate diagnosis of nodules but also facilitates measurements of tumor progression and heterogeneity. In addition, the combination of radiomics based on artificial intelligence and multi-parameter images by dual-energy CT has shown great potential in diagnosis, and the related investigations are in exploratory stages. This review will cover the application of dual-energy CT in the diagnosis of solitary pulmonary nodules, with a focus on the meaning of multi-parameter images for the ccurate diagnosis of pulmonary nodules. Further, the future directions of this diagnostic imaging technique are discussed as well.

     

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