CT在磨玻璃结节浸润性肺腺癌中的应用
Application of CT in Ground-Glass Nodule Invasive Lung Adenocarcinoma
DOI: 10.12677/acm.2024.1492572, PDF,    科研立项经费支持
作者: 刘宇晨*：内蒙古医科大学第一临床医学院，内蒙古 呼和浩特；刘挨师#：内蒙古医科大学附属医院影像诊断科，内蒙古 呼和浩特
关键词: 计算机断层扫描；磨玻璃结节；浸润性肺腺癌；Computed Tomography； Ground Glass Nodules； Invasive Lung Adenocarcinoma
摘要: 近年来，随着医疗技术水平的提高，以及人们健康意识的不断增强，越来越多的肺磨玻璃结节能够被更早地检出，但在全球范围内，肺癌的发病率与死亡率居高不下，一直是全球主要的危及生命的恶性肿瘤。胸部CT作为目前安全且有效的肺癌早期筛查手段，不仅能够及时地对肺癌高危人群进行筛查，降低死亡率，而且检查技术手段无创、安全、高效。充分且合理地运用CT，不仅可以防止过度医疗的行为，减轻患者负担，同时也能使肺癌的患者得到尽早的治疗以获得最佳的预后。
Abstract: In recent years, with the improvement of medical technology and the continuous enhancement of people’s health awareness, more and more ground-glass nodules in the lungs can be detected earlier, but the incidence and mortality of lung cancer remain high in the world, and it has always been the main life-threatening malignant tumor in the world. As a safe and effective early screening method for lung cancer, chest CT can not only screen high-risk groups of lung cancer in a timely manner and reduce mortality, but also be non-invasive, safe and efficient. Adequate and rational use of CT can not only prevent excessive medical treatment and reduce the burden on patients, but also enable patients with lung cancer to receive early treatment for the best prognosis.
文章引用：刘宇晨, 刘挨师. CT在磨玻璃结节浸润性肺腺癌中的应用[J]. 临床医学进展, 2024, 14(9): 1100-1108. https://doi.org/10.12677/acm.2024.1492572

参考文献

[1] Sung, H., Ferlay, J., Siegel, R.L., Laversanne, M., Soerjomataram, I., Jemal, A., et al. (2021) Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians, 71, 209-249. [Google Scholar] [CrossRef] [PubMed]
[2] Son, B.Y., Cho, S., Yum, S.W., Kim, K. and Jheon, S. (2017) The Maximum Standardized Uptake Value of Preoperative Positron Emission Tomography/Computed Tomography in Lung Adenocarcinoma with a Ground-Glass Opacity Component of Less than 30 mm. Journal of Surgical Oncology, 117, 451-456. [Google Scholar] [CrossRef] [PubMed]
[3] Kao, T., Hsieh, M., Chen, L., Yang, C.J., Chuang, C., Chiang, X., et al. (2022) CT-Based Radiomic Analysis for Preoperative Prediction of Tumor Invasiveness in Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodule. Cancers, 14, Article No. 5888. [Google Scholar] [CrossRef] [PubMed]
[4] Lu, T., Yang, X., Shi, Y., Zhao, M., Bi, G., Liang, J., et al. (2020) Single-Cell Transcriptome Atlas of Lung Adenocarcinoma Featured with Ground Glass Nodules. Cell Discovery, 6, Article No. 69. [Google Scholar] [CrossRef] [PubMed]
[5] 郑荣寿, 张思维, 孙可欣, 等. 2016年中国恶性肿瘤流行情况分析[J]. 中华肿瘤杂志, 2023, 45(3): 212-220.
[6] 国家卫生健康委办公厅. 原发性肺癌诊疗指南(2022年版) [J]. 协和医学杂志, 2022, 13(4): 549.
[7] Lambe, G., Durand, M., Buckley, A., Nicholson, S. and McDermott, R. (2020) Adenocarcinoma of the Lung: From BAC to the Future. Insights into Imaging, 11, Article No. 69. [Google Scholar] [CrossRef] [PubMed]
[8] Travis, W.D., Brambilla, E., Noguchi, M., Nicholson, A.G., Geisinger, K.R., Yatabe, Y., et al. (2011) International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma. Journal of Thoracic Oncology, 6, 244-285. [Google Scholar] [CrossRef] [PubMed]
[9] 李媛谢, 武春燕. WHO胸部肿瘤分类(第5版)中肺肿瘤部分解读[J]. 中国癌症杂志, 2021, 31(7): 574-80.
[10] Moreira, A.L., Ocampo, P.S.S., Xia, Y., Zhong, H., Russell, P.A., Minami, Y., et al. (2020) A Grading System for Invasive Pulmonary Adenocarcinoma: A Proposal from the International Association for the Study of Lung Cancer Pathology Committee. Journal of Thoracic Oncology, 15, 1599-1610. [Google Scholar] [CrossRef] [PubMed]
[11] Hou, Y., Song, W., Chen, M., Zhang, J., Luo, Q., Um, S., et al. (2022) The Presence of Lepidic and Micropapillary/Solid Pathological Patterns as Minor Components Has Prognostic Value in Patients with Intermediate-Grade Invasive Lung Adenocarcinoma. Translational Lung Cancer Research, 11, 64-74. [Google Scholar] [CrossRef] [PubMed]
[12] Rokutan-Kurata, M., Yoshizawa, A., Ueno, K., Nakajima, N., Terada, K., Hamaji, M., et al. (2021) Validation Study of the International Association for the Study of Lung Cancer Histologic Grading System of Invasive Lung Adenocarcinoma. Journal of Thoracic Oncology, 16, 1753-1758. [Google Scholar] [CrossRef] [PubMed]
[13] Lee, J.H., Choi, Y., Hong, H., Kim, Y.T., Goo, J.M. and Kim, H. (2023) Prognostic Value of CT-Defined Ground-Glass Opacity in Early-Stage Lung Adenocarcinomas: A Single-Center Study and Meta-Analysis. European Radiology, 34, 1905-1920. [Google Scholar] [CrossRef] [PubMed]
[14] 王思齐, 付泽辉, 邱建国. 表现为磨玻璃结节的肺腺癌诊断研究进展[J]. 国际医学放射学杂志, 2021, 44(1): 67-71.
[15] Lu, J., Tang, H., Yang, X., Liu, L. and Pang, M. (2020) Diagnostic Value and Imaging Features of Multi-Detector CT in Lung Adenocarcinoma with Ground Glass Nodule Patients. Oncology Letters, 20, 693-698. [Google Scholar] [CrossRef] [PubMed]
[16] Chen, K. (2019) The Diagnosis and Treatment of Lung Cancer Presented as Ground-Glass Nodule. General Thoracic and Cardiovascular Surgery, 68, 697-702. [Google Scholar] [CrossRef] [PubMed]
[17] Kakinuma, R., Noguchi, M., Ashizawa, K., Kuriyama, K., Maeshima, A.M., Koizumi, N., et al. (2016) Natural History of Pulmonary Subsolid Nodules: A Prospective Multicenter Study. Journal of Thoracic Oncology, 11, 1012-1028. [Google Scholar] [CrossRef] [PubMed]
[18] Smith, R.A., Andrews, K.S., Brooks, D., Fedewa, S.A., Manassaram‐Baptiste, D., Saslow, D., et al. (2019) Cancer Screening in the United States, 2019: A Review of Current American Cancer Society Guidelines and Current Issues in Cancer Screening. CA: A Cancer Journal for Clinicians, 69, 184-210. [Google Scholar] [CrossRef] [PubMed]
[19] Zhang, Y., Jheon, S., Li, H., Zhang, H., Xie, Y., Qian, B., et al. (2020) Results of Low-Dose Computed Tomography as a Regular Health Examination among Chinese Hospital Employees. The Journal of Thoracic and Cardiovascular Surgery, 160, 824-831.e4. [Google Scholar] [CrossRef] [PubMed]
[20] Wang, S.B. and Mao, Y.S. (2022) Progress in Screening and Follow-Up Studies of Pulmonary Ground Glass Nodules. Chinese Journal of Oncology, 44, 123-129.
[21] Mayne, N.R., Elser, H., Lin, B.K., Raman, V., Liou, D., Li, X., et al. (2022) The Impact of Extended Delayed Surgery for Indolent Lung Cancer or Part-Solid Ground Glass Nodules. The Annals of Thoracic Surgery, 113, 1827-1834. [Google Scholar] [CrossRef] [PubMed]
[22] Lee, H.W., Jin, K., Lee, J., Kim, D.K., Chung, H.S., Heo, E.Y., et al. (2019) Long-Term Follow-Up of Ground-Glass Nodules after 5 Years of Stability. Journal of Thoracic Oncology, 14, 1370-1377. [Google Scholar] [CrossRef] [PubMed]
[23] Chu, Z., Li, W., Fu, B. and Lv, F. (2020) CT Characteristics for Predicting Invasiveness in Pulmonary Pure Ground-Glass Nodules. American Journal of Roentgenology, 215, 351-358. [Google Scholar] [CrossRef] [PubMed]
[24] Zhan, Y., Peng, X., Shan, F., Feng, M., Shi, Y., Liu, L., et al. (2019) Attenuation and Morphologic Characteristics Distinguishing a Ground-Glass Nodule Measuring 5-10 mm in Diameter as Invasive Lung Adenocarcinoma on Thin-Slice Ct. American Journal of Roentgenology, 213, W162-W170. [Google Scholar] [CrossRef] [PubMed]
[25] 陈威, 徐勇飞, 潘鑫福. 浸润性肺腺癌的CT征象分析及与病理亚型的相关性研究[J]. 浙江创伤外科, 2022, 27(6): 1209-1211.
[26] 薛阳, 杜学松, 杨博, 等. 基于最新浸润性肺腺癌分级系统的手术前CT影像特征分析及预后评估[J]. 放射学实践, 2023, 38(9): 1121-1128.
[27] Yanagawa, M., Johkoh, T., Noguchi, M., Morii, E., Shintani, Y., Okumura, M., et al. (2017) Radiological Prediction of Tumor Invasiveness of Lung Adenocarcinoma on Thin-Section CT. Medicine, 96, e6331. [Google Scholar] [CrossRef] [PubMed]
[28] Mazzone, P.J. and Lam, L. (2022) Evaluating the Patient with a Pulmonary Nodule. JAMA, 327, Article No. 264. [Google Scholar] [CrossRef] [PubMed]
[29] Liu, J., Yang, X., Li, Y., Xu, H., He, C., Zhou, P., et al. (2024) Predicting the Invasiveness of Pulmonary Adenocarcinomas in Pure Ground-Glass Nodules Using the Nodule Diameter: A Systematic Review, Meta-Analysis, and Validation in an Independent Cohort. Diagnostics, 14, Article No. 147. [Google Scholar] [CrossRef] [PubMed]
[30] Wu, F., Tian, S., Jin, X., Jing, R., Yang, Y., Jin, M., et al. (2017) CT and Histopathologic Characteristics of Lung Adenocarcinoma with Pure Ground-Glass Nodules 10 mm or Less in Diameter. European Radiology, 27, 4037-4043. [Google Scholar] [CrossRef] [PubMed]
[31] Yang, Y., Xu, J., Wang, W., Ma, M., Huang, Q., Zhou, C., et al. (2024) A Nomogram Based on the Quantitative and Qualitative Features of CT Imaging for the Prediction of the Invasiveness of Ground Glass Nodules in Lung Adenocarcinoma. BMC Cancer, 24, Article No. 438. [Google Scholar] [CrossRef] [PubMed]
[32] He, S., Chen, C., Wang, Z., Yu, X., Liu, S., Huang, Z., et al. (2023) The Use of the Mean Computed-Tomography Value to Predict the Invasiveness of Ground-Glass Nodules: A Meta-Analysis. Asian Journal of Surgery, 46, 677-682. [Google Scholar] [CrossRef] [PubMed]
[33] Heidinger, B.H., Anderson, K.R., Nemec, U., Costa, D.B., Gangadharan, S.P., VanderLaan, P.A., et al. (2017) Lung Adenocarcinoma Manifesting as Pure Ground-Glass Nodules: Correlating CT Size, Volume, Density, and Roundness with Histopathologic Invasion and Size. Journal of Thoracic Oncology, 12, 1288-1298. [Google Scholar] [CrossRef] [PubMed]
[34] 王鸿亚, 杨赫, 刘子成, 等. 胸部CT二维与三维特征对肺磨玻璃结节浸润性的诊断效能对比[J]. 中国肺癌杂志, 2022, 25(10): 723-729.
[35] Park, J., Doo, K.W., Sung, Y.E., Jung, J.I. and Chang, S. (2022) Computed Tomography Findings for Predicting Invasiveness of Lung Adenocarcinomas Manifesting as Pure Ground-Glass Nodules. Canadian Association of Radiologists Journal, 74, 137-146. [Google Scholar] [CrossRef] [PubMed]
[36] Hwang, I., Park, C.M., Park, S.J., Lee, S.M., McAdams, H.P., Jeon, Y.K., et al. (2015) Persistent Pure Ground-Glass Nodules Larger than 5 mm: Differentiation of Invasive Pulmonary Adenocarcinomas from Preinvasive Lesions or Minimally Invasive Adenocarcinomas Using Texture Analysis. Investigative Radiology, 50, 798-804. [Google Scholar] [CrossRef] [PubMed]
[37] Lee, S.M., Goo, J.M., Lee, K.H., Chung, D.H., Koh, J. and Park, C.M. (2015) CT Findings of Minimally Invasive Adenocarcinoma (MIA) of the Lung and Comparison of Solid Portion Measurement Methods at CT in 52 Patients. European Radiology, 25, 2318-2325. [Google Scholar] [CrossRef] [PubMed]
[38] Li, M., Zhu, L., Lv, Y., Shen, L., Han, Y. and Ye, B. (2023) Thin-Slice Computed Tomography Enables to Classify Pulmonary Subsolid Nodules into Pre-Invasive Lesion/Minimally Invasive Adenocarcinoma and Invasive Adenocarcinoma: A Retrospective Study. Scientific Reports, 13, Article No. 6999. [Google Scholar] [CrossRef] [PubMed]
[39] Lafata, K.J., Wang, Y., Konkel, B., Yin, F. and Bashir, M.R. (2021) Radiomics: A Primer on High-Throughput Image Phenotyping. Abdominal Radiology, 47, 2986-3002. [Google Scholar] [CrossRef] [PubMed]
[40] Hu, X., Gong, J., Zhou, W., Li, H., Wang, S., Wei, M., et al. (2021) Computer-Aided Diagnosis of Ground Glass Pulmonary Nodule by Fusing Deep Learning and Radiomics Features. Physics in Medicine & Biology, 66, Article ID: 065015. [Google Scholar] [CrossRef] [PubMed]
[41] Chen, X., Feng, B., Chen, Y., Liu, K., Li, K., Duan, X., et al. (2020) A CT-Based Radiomics Nomogram for Prediction of Lung Adenocarcinomas and Granulomatous Lesions in Patient with Solitary Sub-Centimeter Solid Nodules. Cancer Imaging, 20, Article No. 45. [Google Scholar] [CrossRef] [PubMed]
[42] Zheng, H., Zhang, H., Wang, S., Xiao, F. and Liao, M. (2022) Invasive Prediction of Ground Glass Nodule Based on Clinical Characteristics and Radiomics Feature. Frontiers in Genetics, 12, Article ID: 783391. [Google Scholar] [CrossRef] [PubMed]
[43] Wu, G., Woodruff, H.C., Shen, J., Refaee, T., Sanduleanu, S., Ibrahim, A., et al. (2020) Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study. Radiology, 297, 451-458. [Google Scholar] [CrossRef] [PubMed]
[44] Feng, H., Shi, G., Xu, Q., Ren, J., Wang, L. and Cai, X. (2023) Radiomics-Based Analysis of CT Imaging for the Preoperative Prediction of Invasiveness in Pure Ground-Glass Nodule Lung Adenocarcinomas. Insights into Imaging, 14, Article No. 24. [Google Scholar] [CrossRef] [PubMed]
[45] Zhang, Y., Jiang, B., Zhang, L., Greuter, M.J.W., de Bock, G.H., Zhang, H., et al. (2022) Lung Nodule Detectability of Artificial Intelligence-Assisted CT Image Reading in Lung Cancer Screening. Current Medical Imaging Formerly Current Medical Imaging Reviews, 18, 327-334. [Google Scholar] [CrossRef] [PubMed]
[46] Fan, W., Liu, H., Zhang, Y., Chen, X., Huang, M. and Xu, B. (2024) Diagnostic Value of Artificial Intelligence Based on Computed Tomography (CT) Density in Benign and Malignant Pulmonary Nodules: A Retrospective Investigation. PeerJ, 12, e16577. [Google Scholar] [CrossRef] [PubMed]
[47] Hendrix, W., Hendrix, N., Scholten, E.T., Mourits, M., Trap-de Jong, J., Schalekamp, S., et al. (2023) Deep Learning for the Detection of Benign and Malignant Pulmonary Nodules in Non-Screening Chest CT Scans. Communications Medicine, 3, Article No. 156. [Google Scholar] [CrossRef] [PubMed]
[48] 冯利波, 张曼怡, 林洪平, 等. 人工智能系统联合CT影像特征评估肺腺癌侵袭性的应用价值[J]. 中国数字医学, 2023, 18(12): 74-79.
[49] 谢玉海, 李小虎, 侯唯姝, 等. 人工智能定量参数预测直径 ≤ 2 cm磨玻璃密度肺腺癌浸润程度[J]. 中国医学影像学杂志, 2023, 31(12): 1288-1292.
[50] Zhang, H., Wang, D., Li, W., Tian, Z., Ma, L., Guo, J., et al. (2023) Artificial Intelligence System-Based Histogram Analysis of Computed Tomography Features to Predict Tumor Invasiveness of Ground-Glass Nodules. Quantitative Imaging in Medicine and Surgery, 13, 5783-5795. [Google Scholar] [CrossRef] [PubMed]
[51] Du, W., He, B., Luo, X. and Chen, M. (2022) Diagnostic Value of Artificial Intelligence Based on CT Image in Benign and Malignant Pulmonary Nodules. Journal of Oncology, 2022, Article ID: 5818423. [Google Scholar] [CrossRef] [PubMed]

为你推荐