Journal article
Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report
Annals of the American Thoracic Society, Vol.20(2), pp.161-195
02/2023
DOI: 10.1513/AnnalsATS.202211-915ST
PMCID: PMC9989862
PMID: 36723475
Abstract
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
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.
Details
- Title: Subtitle
- Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report
- Creators
- Connie C W HsiaJason H T BatesBastiaan DriehuysSean B FainJonathan G GoldinEric A HoffmanJames C HoggDavid L LevinDavid A LynchMatthias OchsGrace ParragaG Kim PriskBenjamin M SmithMerryn TawhaiMarcos F Vidal MeloJason C WoodsSusan R Hopkins
- Resource Type
- Journal article
- Publication Details
- Annals of the American Thoracic Society, Vol.20(2), pp.161-195
- DOI
- 10.1513/AnnalsATS.202211-915ST
- PMID
- 36723475
- PMCID
- PMC9989862
- NLM abbreviation
- Ann Am Thorac Soc
- ISSN
- 2325-6621
- eISSN
- 2329-6933
- Language
- English
- Date published
- 02/2023
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Health, Sport, and Human Physiology ; Internal Medicine
- Record Identifier
- 9984363653302771
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