Pulmonary quantitative CT imaging in focal and diffuse disease: current research and clinical applications

The frenetic development of imaging technology—both hardware and software—provides exceptional potential for investigation of the lung. In the last two decades, CT was exploited for detailed characterization of pulmonary structures and description of respiratory disease. The introduction of volumetr...

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Published inBritish journal of radiology Vol. 91; no. 1083; p. 20170644
Main Authors Silva, Mario, Milanese, Gianluca, Seletti, Valeria, Ariani, Alarico, Sverzellati, Nicola
Format Journal Article
LanguageEnglish
Published England The British Institute of Radiology 01.01.2018
Subjects
Algorithms
Diagnosis, Computer-Assisted - methods
Diagnostic Radiology
Humans
Lung Diseases - drug therapy
Lung Diseases - pathology
RADIODIAGNOSIS - Respiratory tract
Review
Tomography, X-Ray Computed - methods
Online AccessGet full text
ISSN0007-1285
1748-880X
1748-880X
DOI10.1259/bjr.20170644

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Abstract The frenetic development of imaging technology—both hardware and software—provides exceptional potential for investigation of the lung. In the last two decades, CT was exploited for detailed characterization of pulmonary structures and description of respiratory disease. The introduction of volumetric acquisition allowed increasingly sophisticated analysis of CT data by means of computerized algorithm, namely quantitative CT (QCT). Hundreds of thousands of CTs have been analysed for characterization of focal and diffuse disease of the lung. Several QCT metrics were developed and tested against clinical, functional and prognostic descriptors. Computer-aided detection of nodules, textural analysis of focal lesions, densitometric analysis and airway segmentation in obstructive pulmonary disease and textural analysis in interstitial lung disease are the major chapters of this discipline. The validation of QCT metrics for specific clinical and investigational needs prompted the translation of such metrics from research field to patient care. The present review summarizes the state of the art of QCT in both focal and diffuse lung disease, including a dedicated discussion about application of QCT metrics as parameters for clinical care and outcomes in clinical trials.
AbstractList The frenetic development of imaging technology-both hardware and software-provides exceptional potential for investigation of the lung. In the last two decades, CT was exploited for detailed characterization of pulmonary structures and description of respiratory disease. The introduction of volumetric acquisition allowed increasingly sophisticated analysis of CT data by means of computerized algorithm, namely quantitative CT (QCT). Hundreds of thousands of CTs have been analysed for characterization of focal and diffuse disease of the lung. Several QCT metrics were developed and tested against clinical, functional and prognostic descriptors. Computer-aided detection of nodules, textural analysis of focal lesions, densitometric analysis and airway segmentation in obstructive pulmonary disease and textural analysis in interstitial lung disease are the major chapters of this discipline. The validation of QCT metrics for specific clinical and investigational needs prompted the translation of such metrics from research field to patient care. The present review summarizes the state of the art of QCT in both focal and diffuse lung disease, including a dedicated discussion about application of QCT metrics as parameters for clinical care and outcomes in clinical trials.
The frenetic development of imaging technology-both hardware and software-provides exceptional potential for investigation of the lung. In the last two decades, CT was exploited for detailed characterization of pulmonary structures and description of respiratory disease. The introduction of volumetric acquisition allowed increasingly sophisticated analysis of CT data by means of computerized algorithm, namely quantitative CT (QCT). Hundreds of thousands of CTs have been analysed for characterization of focal and diffuse disease of the lung. Several QCT metrics were developed and tested against clinical, functional and prognostic descriptors. Computer-aided detection of nodules, textural analysis of focal lesions, densitometric analysis and airway segmentation in obstructive pulmonary disease and textural analysis in interstitial lung disease are the major chapters of this discipline. The validation of QCT metrics for specific clinical and investigational needs prompted the translation of such metrics from research field to patient care. The present review summarizes the state of the art of QCT in both focal and diffuse lung disease, including a dedicated discussion about application of QCT metrics as parameters for clinical care and outcomes in clinical trials.The frenetic development of imaging technology-both hardware and software-provides exceptional potential for investigation of the lung. In the last two decades, CT was exploited for detailed characterization of pulmonary structures and description of respiratory disease. The introduction of volumetric acquisition allowed increasingly sophisticated analysis of CT data by means of computerized algorithm, namely quantitative CT (QCT). Hundreds of thousands of CTs have been analysed for characterization of focal and diffuse disease of the lung. Several QCT metrics were developed and tested against clinical, functional and prognostic descriptors. Computer-aided detection of nodules, textural analysis of focal lesions, densitometric analysis and airway segmentation in obstructive pulmonary disease and textural analysis in interstitial lung disease are the major chapters of this discipline. The validation of QCT metrics for specific clinical and investigational needs prompted the translation of such metrics from research field to patient care. The present review summarizes the state of the art of QCT in both focal and diffuse lung disease, including a dedicated discussion about application of QCT metrics as parameters for clinical care and outcomes in clinical trials.
Author Ariani, Alarico
Sverzellati, Nicola
Silva, Mario
Milanese, Gianluca
Seletti, Valeria
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  givenname: Nicola
  surname: Sverzellati
  fullname: Sverzellati, Nicola
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Snippet The frenetic development of imaging technology—both hardware and software—provides exceptional potential for investigation of the lung. In the last two...
The frenetic development of imaging technology-both hardware and software-provides exceptional potential for investigation of the lung. In the last two...
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SubjectTerms Algorithms
Diagnosis, Computer-Assisted - methods
Diagnostic Radiology
Humans
Lung Diseases - drug therapy
Lung Diseases - pathology
RADIODIAGNOSIS - Respiratory tract
Review
Tomography, X-Ray Computed - methods
Title Pulmonary quantitative CT imaging in focal and diffuse disease: current research and clinical applications
URI https://www.ncbi.nlm.nih.gov/pubmed/29172671
https://www.proquest.com/docview/1969922052
https://pubmed.ncbi.nlm.nih.gov/PMC5965469
https://doi.org/10.1259/bjr.20170644
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