• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

薄层CT上肺部疾病的定量分析

Quantitative Analysis for Lung Disease on Thin-Section CT.

作者信息

Iwasawa Tae, Matsushita Shoichiro, Hirayama Mariko, Baba Tomohisa, Ogura Takashi

机构信息

Department of Radiology, Kanagawa Cardiovascular & Respiratory Center, 6-16-1 Tomioka-higashi, Kanazawa-ku, Yokohama 236-0051, Japan.

Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Center, 6-16-1 Tomioka-higashi, Kanazawa-ku, Yokohama 236-0051, Japan.

出版信息

Diagnostics (Basel). 2023 Sep 18;13(18):2988. doi: 10.3390/diagnostics13182988.

DOI:10.3390/diagnostics13182988
PMID:37761355
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10528918/
Abstract

Thin-section computed tomography (CT) is widely employed not only for assessing morphology but also for evaluating respiratory function. Three-dimensional images obtained from thin-section CT provide precise measurements of lung, airway, and vessel volumes. These volumetric indices are correlated with traditional pulmonary function tests (PFT). CT also generates lung histograms. The volume ratio of areas with low and high attenuation correlates with PFT results. These quantitative image analyses have been utilized to investigate the early stages and disease progression of diffuse lung diseases, leading to the development of novel concepts such as pre-chronic obstructive pulmonary disease (pre-COPD) and interstitial lung abnormalities. Quantitative analysis proved particularly valuable during the COVID-19 pandemic when clinical evaluations were limited. In this review, we introduce CT analysis methods and explore their clinical applications in the context of various lung diseases. We also highlight technological advances, including images with matrices of 1024 × 1024 and slice thicknesses of 0.25 mm, which enhance the accuracy of these analyses.

摘要

薄层计算机断层扫描（CT）不仅广泛用于评估形态，还用于评估呼吸功能。从薄层CT获得的三维图像可提供肺、气道和血管容积的精确测量。这些容积指数与传统肺功能测试（PFT）相关。CT还能生成肺直方图。低衰减区和高衰减区的容积比与PFT结果相关。这些定量图像分析已被用于研究弥漫性肺疾病的早期阶段和疾病进展，从而产生了诸如慢性阻塞性肺疾病前期（pre-COPD）和间质性肺异常等新概念。在2019冠状病毒病大流行期间，当临床评估受到限制时，定量分析被证明特别有价值。在本综述中，我们介绍CT分析方法，并探讨其在各种肺部疾病中的临床应用。我们还强调了技术进步，包括具有1024×1024矩阵和0.25毫米层厚的图像，这些提高了这些分析的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/c30ecd83693b/diagnostics-13-02988-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/facb9a7d285c/diagnostics-13-02988-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/ea7113ce2eab/diagnostics-13-02988-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/d6b1a6a6e1d4/diagnostics-13-02988-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/862e0cd4d2b6/diagnostics-13-02988-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/f4d3c52174e5/diagnostics-13-02988-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/4af70fd27cb3/diagnostics-13-02988-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/25e5a2764554/diagnostics-13-02988-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/6c6a56852091/diagnostics-13-02988-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/d9058bd52a45/diagnostics-13-02988-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/1483c58c66ec/diagnostics-13-02988-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/de96a4ce2c0d/diagnostics-13-02988-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/3e79e45ddea2/diagnostics-13-02988-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/7d846e8df169/diagnostics-13-02988-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/f8d63019f7a2/diagnostics-13-02988-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/c30ecd83693b/diagnostics-13-02988-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/facb9a7d285c/diagnostics-13-02988-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/ea7113ce2eab/diagnostics-13-02988-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/d6b1a6a6e1d4/diagnostics-13-02988-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/862e0cd4d2b6/diagnostics-13-02988-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/f4d3c52174e5/diagnostics-13-02988-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/4af70fd27cb3/diagnostics-13-02988-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/25e5a2764554/diagnostics-13-02988-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/6c6a56852091/diagnostics-13-02988-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/d9058bd52a45/diagnostics-13-02988-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/1483c58c66ec/diagnostics-13-02988-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/de96a4ce2c0d/diagnostics-13-02988-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/3e79e45ddea2/diagnostics-13-02988-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/7d846e8df169/diagnostics-13-02988-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/f8d63019f7a2/diagnostics-13-02988-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de8/10528918/c30ecd83693b/diagnostics-13-02988-g015.jpg

相似文献

1
Quantitative Analysis for Lung Disease on Thin-Section CT.薄层CT上肺部疾病的定量分析
Diagnostics (Basel). 2023 Sep 18;13(18):2988. doi: 10.3390/diagnostics13182988.
2
Computed tomographic thoracic morphologic indices in normal subjects and patients with chronic obstructive pulmonary disease: Comparison with spiral CT densitometry and pulmonary function tests.正常人与慢性阻塞性肺疾病患者的胸部 CT 形态学指标：与螺旋 CT 密度测定和肺功能检查的比较。
Eur J Radiol. 2018 Mar;100:147-153. doi: 10.1016/j.ejrad.2018.01.014. Epub 2018 Jan 31.
3
Evaluation of pulmonary function using single-breath-hold dual-energy computed tomography with xenon: Results of a preliminary study.使用氙气单屏气双能计算机断层扫描评估肺功能：一项初步研究的结果。
Medicine (Baltimore). 2017 Jan;96(3):e5937. doi: 10.1097/MD.0000000000005937.
4
Chronic obstructive pulmonary disease: thin-section CT measurement of airway wall thickness and lung attenuation.慢性阻塞性肺疾病：气道壁厚度和肺衰减的薄层CT测量
Radiology. 2005 Feb;234(2):604-10. doi: 10.1148/radiol.2342040013.
5
Prediction of Pulmonary Function in Patients with Chronic Obstructive Pulmonary Disease: Correlation with Quantitative CT Parameters.慢性阻塞性肺疾病患者肺功能的预测：与定量 CT 参数的相关性。
Korean J Radiol. 2019 Apr;20(4):683-692. doi: 10.3348/kjr.2018.0391.
6
Quantitative assessment of pulmonary perfusion using dynamic contrast-enhanced CT in patients with chronic obstructive pulmonary disease: correlations with pulmonary function test and CT volumetric parameters.慢性阻塞性肺疾病患者使用动态对比增强CT进行肺灌注的定量评估：与肺功能测试及CT容积参数的相关性
Acta Radiol. 2015 May;56(5):573-80. doi: 10.1177/0284185114535208. Epub 2014 Jun 10.
7
Comparison of Lung, Lobe, and Airway Volumes between Supine and Upright Computed Tomography and Their Correlation with Pulmonary Function Test in Patients with Chronic Obstructive Pulmonary Disease.比较慢性阻塞性肺疾病患者仰卧位和直立位 CT 的肺、肺叶和气道容积及其与肺功能测试的相关性。
Respiration. 2022;101(12):1110-1120. doi: 10.1159/000527067. Epub 2022 Nov 9.
8
Computed tomography (CT) quantitative assessment of single lobe emphysema correlates with chronic obstructive pulmonary disease (COPD) severity: a cross-sectional study with retrospective data collection.计算机断层扫描（CT）对单叶肺气肿的定量评估与慢性阻塞性肺疾病（COPD）严重程度相关：一项回顾性数据收集的横断面研究。
Quant Imaging Med Surg. 2024 Jul 1;14(7):4540-4554. doi: 10.21037/qims-23-1496. Epub 2024 Jun 19.
9
Measuring pulmonary function in COPD using quantitative chest computed tomography analysis.使用定量胸部计算机断层扫描分析测量 COPD 患者的肺功能。
Eur Respir Rev. 2021 Jul 13;30(161). doi: 10.1183/16000617.0031-2021. Print 2021 Sep 30.
10
Quantitative assessment the longitudinal changes of pulmonary vascular counts in chronic obstructive pulmonary disease.定量评估慢性阻塞性肺疾病中肺血管计数的纵向变化。
Respir Res. 2022 Feb 14;23(1):29. doi: 10.1186/s12931-022-01953-7.

引用本文的文献

1
Integrating CT-Based Lung Fibrosis and MRI-Derived Right Ventricular Function for the Detection of Pulmonary Hypertension in Interstitial Lung Disease.整合基于CT的肺纤维化和MRI衍生的右心室功能以检测间质性肺疾病中的肺动脉高压
J Clin Med. 2025 Jul 28;14(15):5329. doi: 10.3390/jcm14155329.
2
Quantitative spectral computed tomography detects different patterns of airway wall thickening and contrast enhancement in infective lung disease: a feasibility study.定量光谱计算机断层扫描检测感染性肺病中气道壁增厚和对比增强的不同模式：一项可行性研究。
Eur Radiol. 2025 Jun 19. doi: 10.1007/s00330-025-11752-5.
3
Machine learning-driven imaging data for early prediction of lung toxicity in breast cancer radiotherapy.

本文引用的文献

1
Prediction of oxygen supplementation by a deep-learning model integrating clinical parameters and chest CT images in COVID-19.利用深度学习模型整合临床参数和胸部 CT 图像预测 COVID-19 患者的氧疗需求。
Jpn J Radiol. 2023 Dec;41(12):1359-1372. doi: 10.1007/s11604-023-01466-3. Epub 2023 Jul 13.
2
Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography.基于深度学习的超分辨率重建在冠状动脉 CT 血管造影中的应用改善了图像质量。
Eur Radiol. 2023 Dec;33(12):8488-8500. doi: 10.1007/s00330-023-09888-3. Epub 2023 Jul 11.
3
Changes in Lung Volumes with Spirometric Disease Progression in COPD.
机器学习驱动的成像数据用于乳腺癌放疗中肺毒性的早期预测。
Sci Rep. 2025 May 27;15(1):18473. doi: 10.1038/s41598-025-02617-4.
4
Exploring the use of biphasic quantitative thoracic computed tomography to evaluate halo-pelvic traction in managing severe adolescent idiopathic scoliosis.探索使用双相定量胸部计算机断层扫描评估 Halo 骨盆牵引在治疗重度青少年特发性脊柱侧凸中的应用。
Quant Imaging Med Surg. 2024 Dec 5;14(12):8429-8442. doi: 10.21037/qims-24-568. Epub 2024 Nov 29.
5
Discordant definitions of small airway dysfunction between spirometry and parametric response mapping: the HRCT-based study.肺量计与参数反应映射法对小气道功能障碍的不一致定义：基于高分辨率计算机断层扫描的研究
Insights Imaging. 2024 Oct 2;15(1):233. doi: 10.1186/s13244-024-01819-0.
6
Trends and hotspots of energy-based imaging in thoracic disease: a bibliometric analysis.胸部疾病中基于能量成像的研究趋势与热点：一项文献计量学分析
Insights Imaging. 2024 Aug 14;15(1):209. doi: 10.1186/s13244-024-01788-4.
慢性阻塞性肺疾病（COPD）中肺容积随肺量计测定的疾病进展而发生的变化。
Chronic Obstr Pulm Dis. 2023 Jul 26;10(3):270-285. doi: 10.15326/jcopdf.2022.0363.
4
Interstitial Lung Abnormalities at CT in the Korean National Lung Cancer Screening Program: Prevalence and Deep Learning-based Texture Analysis.韩国国家肺癌筛查计划中 CT 下的肺间质异常：患病率和基于深度学习的纹理分析。
Radiology. 2023 May;307(4):e222828. doi: 10.1148/radiol.222828. Epub 2023 Apr 25.
5
Ultra-high resolution CT imaging of interstitial lung disease: impact of photon-counting CT in 112 patients.超高分辨率 CT 成像在间质性肺疾病中的应用：112 例患者的光子计数 CT 影响。
Eur Radiol. 2023 Aug;33(8):5528-5539. doi: 10.1007/s00330-023-09616-x. Epub 2023 Apr 18.
6
Prediction models for respiratory outcomes in patients with COVID-19: integration of quantitative computed tomography parameters, demographics, and laboratory features.2019冠状病毒病患者呼吸结局的预测模型：定量计算机断层扫描参数、人口统计学和实验室特征的整合
J Thorac Dis. 2023 Mar 31;15(3):1506-1516. doi: 10.21037/jtd-22-1076. Epub 2023 Mar 9.
7
Quantitative computed tomography and visual emphysema scores: association with lung function decline.定量计算机断层扫描与视觉肺气肿评分：与肺功能下降的关联
ERJ Open Res. 2023 Apr 11;9(2). doi: 10.1183/23120541.00523-2022. eCollection 2023 Mar.
8
Global Initiative for Chronic Obstructive Lung Disease 2023 Report: GOLD Executive Summary.慢性阻塞性肺疾病全球倡议组织2023年报告：《慢性阻塞性肺疾病全球倡议》执行摘要
Am J Respir Crit Care Med. 2023 Apr 1;207(7):819-837. doi: 10.1164/rccm.202301-0106PP.
9
Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects.深度学习在 CT 图像重建中的应用：技术原理与临床前景。
Radiology. 2023 Mar;306(3):e221257. doi: 10.1148/radiol.221257. Epub 2023 Jan 31.
10
Standardized airway wall thickness Pi10 from routine CT scans of COPD patients as imaging biomarker for disease severity, lung function decline, and mortality.COPD 患者常规 CT 扫描的标准化气道壁厚度 Pi10 作为疾病严重程度、肺功能下降和死亡率的影像学生物标志物。
Ther Adv Respir Dis. 2023 Jan-Dec;17:17534666221148663. doi: 10.1177/17534666221148663.