{"title":"慢性阻塞性肺疾病肺外病变的定量CT评价:叙述性综述。","authors":"Chengyu Miao, Shengchuan Feng, Fengyan Wang, Zizheng Chen, Jiaxuan Xu, Xueping Li, Zifei Zhou, Rongchang Chen, Zhenyu Liang","doi":"10.21037/jtd-24-1074","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objective: </strong>Chronic obstructive pulmonary disease (COPD) is a significant global health challenge characterized by persistent respiratory symptoms and airflow limitation. Recent advancements in computed tomography (CT) have enhanced our understanding of COPD, particularly in diagnosing extrapulmonary comorbidities. This review aims to summarize the current findings on extrapulmonary manifestations in COPD patients and the role of quantitative computed tomography (QCT) in evaluating these comorbidities.</p><p><strong>Methods: </strong>A comprehensive literature search was conducted using PubMed and Web of Science databases, covering studies from January 1999 to May 2024. Keywords included \"COPD\", \"chronic obstructive pulmonary disease\", \"muscle\", \"adipose tissue\", \"coronary artery calcification\", \"bone density\", \"extrapulmonary manifestations\", and \"Quantitative Computed Tomography\". Inclusion criteria focused on studies involving COPD patients using QCT to identify extrapulmonary manifestations, published in peer-reviewed journals and available in English.</p><p><strong>Key content and findings: </strong>The review highlights significant findings, such as the reduction in muscle mass and bone density and the increase in coronary artery calcification (CAC) in COPD patients, all closely associated with disease severity and prognosis. Key metrics evaluated include mid-thigh muscle cross-sectional area, pectoralis muscle area, erector spinae muscles, and bone density. Advanced CT analysis techniques, including artificial intelligence (AI) and machine learning, are emphasized as crucial for improving assessment accuracy and efficiency. Subcutaneous fat reduction and CAC are identified as critical indicators of mortality and disease progression.</p><p><strong>Conclusions: </strong>Quantitative CT evaluation is vital for understanding and managing extrapulmonary lesions in COPD. Future research should focus on establishing suitable measurement tools and methods and defining critical thresholds for treatment efficacy. The integration of advanced CT techniques and interdisciplinary approaches is essential for enhancing diagnostic accuracy and developing personalized treatment strategies for COPD patients.</p>","PeriodicalId":17542,"journal":{"name":"Journal of thoracic disease","volume":"17 3","pages":"1736-1745"},"PeriodicalIF":2.1000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11986777/pdf/","citationCount":"0","resultStr":"{\"title\":\"Quantitative CT evaluation of extrapulmonary lesions in chronic obstructive pulmonary disease: a narrative review.\",\"authors\":\"Chengyu Miao, Shengchuan Feng, Fengyan Wang, Zizheng Chen, Jiaxuan Xu, Xueping Li, Zifei Zhou, Rongchang Chen, Zhenyu Liang\",\"doi\":\"10.21037/jtd-24-1074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objective: </strong>Chronic obstructive pulmonary disease (COPD) is a significant global health challenge characterized by persistent respiratory symptoms and airflow limitation. Recent advancements in computed tomography (CT) have enhanced our understanding of COPD, particularly in diagnosing extrapulmonary comorbidities. This review aims to summarize the current findings on extrapulmonary manifestations in COPD patients and the role of quantitative computed tomography (QCT) in evaluating these comorbidities.</p><p><strong>Methods: </strong>A comprehensive literature search was conducted using PubMed and Web of Science databases, covering studies from January 1999 to May 2024. Keywords included \\\"COPD\\\", \\\"chronic obstructive pulmonary disease\\\", \\\"muscle\\\", \\\"adipose tissue\\\", \\\"coronary artery calcification\\\", \\\"bone density\\\", \\\"extrapulmonary manifestations\\\", and \\\"Quantitative Computed Tomography\\\". Inclusion criteria focused on studies involving COPD patients using QCT to identify extrapulmonary manifestations, published in peer-reviewed journals and available in English.</p><p><strong>Key content and findings: </strong>The review highlights significant findings, such as the reduction in muscle mass and bone density and the increase in coronary artery calcification (CAC) in COPD patients, all closely associated with disease severity and prognosis. Key metrics evaluated include mid-thigh muscle cross-sectional area, pectoralis muscle area, erector spinae muscles, and bone density. Advanced CT analysis techniques, including artificial intelligence (AI) and machine learning, are emphasized as crucial for improving assessment accuracy and efficiency. Subcutaneous fat reduction and CAC are identified as critical indicators of mortality and disease progression.</p><p><strong>Conclusions: </strong>Quantitative CT evaluation is vital for understanding and managing extrapulmonary lesions in COPD. Future research should focus on establishing suitable measurement tools and methods and defining critical thresholds for treatment efficacy. The integration of advanced CT techniques and interdisciplinary approaches is essential for enhancing diagnostic accuracy and developing personalized treatment strategies for COPD patients.</p>\",\"PeriodicalId\":17542,\"journal\":{\"name\":\"Journal of thoracic disease\",\"volume\":\"17 3\",\"pages\":\"1736-1745\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11986777/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of thoracic disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.21037/jtd-24-1074\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of thoracic disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/jtd-24-1074","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/27 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0
摘要
背景和目的:慢性阻塞性肺疾病(COPD)是一项重大的全球健康挑战,其特征是持续的呼吸道症状和气流限制。计算机断层扫描(CT)的最新进展增强了我们对慢性阻塞性肺病的认识,特别是在诊断肺外合并症方面。本文旨在总结目前COPD患者肺外表现的研究结果以及定量计算机断层扫描(QCT)在评估这些合并症中的作用。方法:综合检索PubMed和Web of Science数据库,检索时间为1999年1月~ 2024年5月。关键词包括“COPD”、“慢性阻塞性肺疾病”、“肌肉”、“脂肪组织”、“冠状动脉钙化”、“骨密度”、“肺外表现”、“定量计算机断层扫描”。纳入标准侧重于COPD患者使用QCT识别肺外表现的研究,这些研究发表在同行评议的期刊上,并有英文版本。主要内容和发现:该综述强调了COPD患者的重要发现,如肌肉量和骨密度的减少以及冠状动脉钙化(CAC)的增加,这些都与疾病严重程度和预后密切相关。评估的关键指标包括大腿中部肌肉横截面积、胸肌面积、竖脊肌和骨密度。包括人工智能(AI)和机器学习在内的先进CT分析技术被强调为提高评估准确性和效率的关键。皮下脂肪减少和CAC被确定为死亡率和疾病进展的关键指标。结论:定量CT评估对于了解和处理COPD肺外病变至关重要。未来的研究应侧重于建立合适的测量工具和方法,并确定治疗效果的临界阈值。先进的CT技术和跨学科方法的整合对于提高COPD患者的诊断准确性和制定个性化治疗策略至关重要。
Quantitative CT evaluation of extrapulmonary lesions in chronic obstructive pulmonary disease: a narrative review.
Background and objective: Chronic obstructive pulmonary disease (COPD) is a significant global health challenge characterized by persistent respiratory symptoms and airflow limitation. Recent advancements in computed tomography (CT) have enhanced our understanding of COPD, particularly in diagnosing extrapulmonary comorbidities. This review aims to summarize the current findings on extrapulmonary manifestations in COPD patients and the role of quantitative computed tomography (QCT) in evaluating these comorbidities.
Methods: A comprehensive literature search was conducted using PubMed and Web of Science databases, covering studies from January 1999 to May 2024. Keywords included "COPD", "chronic obstructive pulmonary disease", "muscle", "adipose tissue", "coronary artery calcification", "bone density", "extrapulmonary manifestations", and "Quantitative Computed Tomography". Inclusion criteria focused on studies involving COPD patients using QCT to identify extrapulmonary manifestations, published in peer-reviewed journals and available in English.
Key content and findings: The review highlights significant findings, such as the reduction in muscle mass and bone density and the increase in coronary artery calcification (CAC) in COPD patients, all closely associated with disease severity and prognosis. Key metrics evaluated include mid-thigh muscle cross-sectional area, pectoralis muscle area, erector spinae muscles, and bone density. Advanced CT analysis techniques, including artificial intelligence (AI) and machine learning, are emphasized as crucial for improving assessment accuracy and efficiency. Subcutaneous fat reduction and CAC are identified as critical indicators of mortality and disease progression.
Conclusions: Quantitative CT evaluation is vital for understanding and managing extrapulmonary lesions in COPD. Future research should focus on establishing suitable measurement tools and methods and defining critical thresholds for treatment efficacy. The integration of advanced CT techniques and interdisciplinary approaches is essential for enhancing diagnostic accuracy and developing personalized treatment strategies for COPD patients.
期刊介绍:
The Journal of Thoracic Disease (JTD, J Thorac Dis, pISSN: 2072-1439; eISSN: 2077-6624) was founded in Dec 2009, and indexed in PubMed in Dec 2011 and Science Citation Index SCI in Feb 2013. It is published quarterly (Dec 2009- Dec 2011), bimonthly (Jan 2012 - Dec 2013), monthly (Jan. 2014-) and openly distributed worldwide. JTD received its impact factor of 2.365 for the year 2016. JTD publishes manuscripts that describe new findings and provide current, practical information on the diagnosis and treatment of conditions related to thoracic disease. All the submission and reviewing are conducted electronically so that rapid review is assured.