QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications.
QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications.
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QIBA指南：COVID-19定量成像应用的计算机断层成像。
DOI：
10.1016/j.clinimag.2021.02.017
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发表时间：
2021-09
期刊：
影响因子：
2.1
通讯作者：
Sullivan DC
中科院分区：
文献类型：
--
作者：
Avila RS;Fain SB;Hatt C;Armato SG 3rd;Mulshine JL;Gierada D;Silva M;Lynch DA;Hoffman EA;Ranallo FN;Mayo JR;Yankelevitz D;Estepar RSJ;Subramaniam R;Henschke CI;Guimaraes A;Sullivan DC
随着新冠肺炎疫情对全球人群的影响，许多国家正使用计算机断层扫描(CT)肺部成像来帮助管理患者护理以及快速识别潜在有用的定量新冠肺炎CT成像生物标志物。定量新冠肺炎CT成像应用通常基于计算机视觉建模和人工智能算法，包括可能出现更好的方法来评估新冠肺炎的范围和严重性，帮助鉴别诊断新冠肺炎与其他呼吸系统疾病，以及预测疾病轨迹。为了帮助加速开发可靠的定量成像算法和工具，按照定量肺CT成像社区的最佳实践获得CT成像至关重要。为此，北美放射学会定量成像生物标记物联盟(QIBA)CT肺密度剖面委员会和CT小肺结节剖面委员会制定了一套最佳实践，以指导临床站点使用定量成像解决方案，并加快新冠肺炎定量CT算法的国际开发。本指导文件为新冠肺炎CT成像提供了定量CT肺部成像建议，包括为当代CT扫描仪推荐的CT图像采集设置。还就定量CT成像方法的科学发表报告以及向开放的科学研究数据库贡献新冠肺炎CT成像数据集的重要性提供了其他最佳实践指导。
As the COVID-19 pandemic impacts global populations, computed tomography (CT) lung imaging is being used in many countries to help manage patient care as well as to rapidly identify potentially useful quantitative COVID-19 CT imaging biomarkers. Quantitative COVID-19 CT imaging applications, typically based on computer vision modeling and artificial intelligence algorithms, include the potential for better methods to assess COVID-19 extent and severity, assist with differential diagnosis of COVID-19 versus other respiratory conditions, and predict disease trajectory. To help accelerate the development of robust quantitative imaging algorithms and tools, it is critical that CT imaging is obtained following best practices of the quantitative lung CT imaging community. Toward this end, the Radiological Society of North America's (RSNA) Quantitative Imaging Biomarkers Alliance (QIBA) CT Lung Density Profile Committee and CT Small Lung Nodule Profile Committee developed a set of best practices to guide clinical sites using quantitative imaging solutions and to accelerate the international development of quantitative CT algorithms for COVID-19. This guidance document provides quantitative CT lung imaging recommendations for COVID-19 CT imaging, including recommended CT image acquisition settings for contemporary CT scanners. Additional best practice guidance is provided on scientific publication reporting of quantitative CT imaging methods and the importance of contributing COVID-19 CT imaging datasets to open science research databases.
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影响因子：
5.8
作者：
Hersh CP;Washko GR;Estépar RS;Lutz S;Friedman PJ;Han MK;Hokanson JE;Judy PF;Lynch DA;Make BJ;Marchetti N;Newell JD Jr;Sciurba FC;Crapo JD;Silverman EK;COPDGene Investigators
通讯作者：
COPDGene Investigators
DOI：
10.1148/ryct.2020200075
发表时间：
2020-04-01
期刊：
RADIOLOGY-CARDIOTHORACIC IMAGING
影响因子：
--
作者：
Huang, Lu;Han, Rui;Xia, Liming
通讯作者：
Xia, Liming
影响因子：
19.7
作者：
Caruso, Damiano;Zerunian, Marta;Laghi, Andrea
通讯作者：
Laghi, Andrea
影响因子：
2.4
作者：
Henschke, Claudia I.;Yankelevitz, David F.;Avila, Ricardo
通讯作者：
Avila, Ricardo
影响因子：
4.5
作者：
Mulshine, James L.;Gierada, David S.;Sullivan, Daniel C.
通讯作者：
Sullivan, Daniel C.