Development of quantitative computed tomography lung protocols.

The purpose of this review article is to review the process of developing optimal computed tomography (CT) protocols for quantitative lung CT (QCT). In this review, we discuss the following important topics: QCT-derived metrics of lung disease; QCT scanning protocols; quality control; and QCT image...

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Publicado en:Journal of Thoracic Imaging Vol. 28; no. 5; pp. 266 - 272
Autores principales: Newell Jr, John D, Sieren, Jered, Hoffman, Eric A, Newell, John D Jr
Formato: research Journal Article
Publicado: Lippincott Williams & Wilkins 2013 Sep
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2013 Sep
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      pub: Lippincott Williams & Wilkins
      place: Baltimore, Maryland
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        atl: Development of quantitative computed tomography lung protocols.
      aug:
        au:
          Newell Jr, John D
          Sieren, Jered
          Hoffman, Eric A
          Newell, John D Jr
        affil: Advanced Pulmonary Physiomics Imaging Laboratory, Department of Radiology, University of Iowa, Iowa City, IA 52242, USA
      sug:
        subj:
          Protocols
          Lung Diseases Radiography
          Tomography, X-Ray Computed Methods
          Asthma Pathology
          Asthma Radiography
          Genomics
          Human
          Lung Diseases Pathology
          Phantoms, Imaging
          Pulmonary Disease, Chronic Obstructive Pathology
          Pulmonary Disease, Chronic Obstructive Radiography
          Quality Control (Technology)
          Questionnaires
          Radiographic Image Interpretation, Computer-Assisted
          Respiratory Function Tests
          Software
      ab: The purpose of this review article is to review the process of developing optimal computed tomography (CT) protocols for quantitative lung CT (QCT). In this review, we discuss the following important topics: QCT-derived metrics of lung disease; QCT scanning protocols; quality control; and QCT image processing software. We will briefly discuss several QCT-derived metrics of lung disease that have been developed for the assessment of emphysema, small airway disease, and large airway disease. The CT scanning protocol is one of the most important elements in a successful QCT. We will provide a detailed description of the current move toward optimizing the QCT protocol for the assessment of chronic obstructive pulmonary disorder and asthma. Quality control of CT images is also a very important part of the QCT process. We will discuss why it is necessary to use CT scanner test objects (phantoms) to provide frequent periodic checks on the CT scanner calibration to ensure precise and accurate CT numbers. We will discuss the use of QCT image processing software to segment the lung and extract the desired QCT metrics of lung disease. We will discuss the practical issues of using this software. The data obtained from the image processing software are then combined with those from other clinical examinations, health status questionnaires, pulmonary physiology, and genomics to increase our understanding of obstructive lung disease and improve our ability to design new therapies for these diseases.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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