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Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report
Multiple thoracic imaging modalities have been developed to link structure to function in the diagnosis and monitoring of lung disease. Volumetric computed tomography (CT) renders three-dimensional maps of lung structures and may be combined with positron emission tomography (PET) to obtain dynamic...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Thoracic Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989862/ https://www.ncbi.nlm.nih.gov/pubmed/36723475 http://dx.doi.org/10.1513/AnnalsATS.202211-915ST |
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author | Hsia, Connie C. W. Bates, Jason H. T. Driehuys, Bastiaan Fain, Sean B. Goldin, Jonathan G. Hoffman, Eric A. Hogg, James C. Levin, David L. Lynch, David A. Ochs, Matthias Parraga, Grace Prisk, G. Kim Smith, Benjamin M. Tawhai, Merryn Vidal Melo, Marcos F. Woods, Jason C. Hopkins, Susan R. |
author_facet | Hsia, Connie C. W. Bates, Jason H. T. Driehuys, Bastiaan Fain, Sean B. Goldin, Jonathan G. Hoffman, Eric A. Hogg, James C. Levin, David L. Lynch, David A. Ochs, Matthias Parraga, Grace Prisk, G. Kim Smith, Benjamin M. Tawhai, Merryn Vidal Melo, Marcos F. Woods, Jason C. Hopkins, Susan R. |
author_sort | Hsia, Connie C. W. |
collection | PubMed |
description | Multiple thoracic imaging modalities have been developed to link structure to function in the diagnosis and monitoring of lung disease. Volumetric computed tomography (CT) renders three-dimensional maps of lung structures and may be combined with positron emission tomography (PET) to obtain dynamic physiological data. Magnetic resonance imaging (MRI) using ultrashort–echo time (UTE) sequences has improved signal detection from lung parenchyma; contrast agents are used to deduce airway function, ventilation–perfusion–diffusion, and mechanics. Proton MRI can measure regional ventilation-perfusion ratio. Quantitative imaging (QI)–derived endpoints have been developed to identify structure–function phenotypes, including air–blood–tissue volume partition, bronchovascular remodeling, emphysema, fibrosis, and textural patterns indicating architectural alteration. Coregistered landmarks on paired images obtained at different lung volumes are used to infer airway caliber, air trapping, gas and blood transport, compliance, and deformation. This document summarizes fundamental “good practice” stereological principles in QI study design and analysis; evaluates technical capabilities and limitations of common imaging modalities; and assesses major QI endpoints regarding underlying assumptions and limitations, ability to detect and stratify heterogeneous, overlapping pathophysiology, and monitor disease progression and therapeutic response, correlated with and complementary to, functional indices. The goal is to promote unbiased quantification and interpretation of in vivo imaging data, compare metrics obtained using different QI modalities to ensure accurate and reproducible metric derivation, and avoid misrepresentation of inferred physiological processes. The role of imaging-based computational modeling in advancing these goals is emphasized. Fundamental principles outlined herein are critical for all forms of QI irrespective of acquisition modality or disease entity. |
format | Online Article Text |
id | pubmed-9989862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Thoracic Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99898622023-03-08 Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report Hsia, Connie C. W. Bates, Jason H. T. Driehuys, Bastiaan Fain, Sean B. Goldin, Jonathan G. Hoffman, Eric A. Hogg, James C. Levin, David L. Lynch, David A. Ochs, Matthias Parraga, Grace Prisk, G. Kim Smith, Benjamin M. Tawhai, Merryn Vidal Melo, Marcos F. Woods, Jason C. Hopkins, Susan R. Ann Am Thorac Soc American Thoracic Society Documents Multiple thoracic imaging modalities have been developed to link structure to function in the diagnosis and monitoring of lung disease. Volumetric computed tomography (CT) renders three-dimensional maps of lung structures and may be combined with positron emission tomography (PET) to obtain dynamic physiological data. Magnetic resonance imaging (MRI) using ultrashort–echo time (UTE) sequences has improved signal detection from lung parenchyma; contrast agents are used to deduce airway function, ventilation–perfusion–diffusion, and mechanics. Proton MRI can measure regional ventilation-perfusion ratio. Quantitative imaging (QI)–derived endpoints have been developed to identify structure–function phenotypes, including air–blood–tissue volume partition, bronchovascular remodeling, emphysema, fibrosis, and textural patterns indicating architectural alteration. Coregistered landmarks on paired images obtained at different lung volumes are used to infer airway caliber, air trapping, gas and blood transport, compliance, and deformation. This document summarizes fundamental “good practice” stereological principles in QI study design and analysis; evaluates technical capabilities and limitations of common imaging modalities; and assesses major QI endpoints regarding underlying assumptions and limitations, ability to detect and stratify heterogeneous, overlapping pathophysiology, and monitor disease progression and therapeutic response, correlated with and complementary to, functional indices. The goal is to promote unbiased quantification and interpretation of in vivo imaging data, compare metrics obtained using different QI modalities to ensure accurate and reproducible metric derivation, and avoid misrepresentation of inferred physiological processes. The role of imaging-based computational modeling in advancing these goals is emphasized. Fundamental principles outlined herein are critical for all forms of QI irrespective of acquisition modality or disease entity. American Thoracic Society 2023-02-01 /pmc/articles/PMC9989862/ /pubmed/36723475 http://dx.doi.org/10.1513/AnnalsATS.202211-915ST Text en Copyright © 2023 by the American Thoracic Society https://creativecommons.org/licenses/by-nc-nd/4.0/You may print one copy of this document at no charge. However, if you require more than one copy, you must place a reprint order. Domestic reprint orders: amy.schriver@sheridan.com; international reprint orders: louisa.mott@springer.com. |
spellingShingle | American Thoracic Society Documents Hsia, Connie C. W. Bates, Jason H. T. Driehuys, Bastiaan Fain, Sean B. Goldin, Jonathan G. Hoffman, Eric A. Hogg, James C. Levin, David L. Lynch, David A. Ochs, Matthias Parraga, Grace Prisk, G. Kim Smith, Benjamin M. Tawhai, Merryn Vidal Melo, Marcos F. Woods, Jason C. Hopkins, Susan R. Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report |
title | Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report |
title_full | Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report |
title_fullStr | Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report |
title_full_unstemmed | Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report |
title_short | Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report |
title_sort | quantitative imaging metrics for the assessment of pulmonary pathophysiology: an official american thoracic society and fleischner society joint workshop report |
topic | American Thoracic Society Documents |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989862/ https://www.ncbi.nlm.nih.gov/pubmed/36723475 http://dx.doi.org/10.1513/AnnalsATS.202211-915ST |
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