Exploratory Study on COPD Phenotypes and their Progression: Integrating SPECT and qCT Imaging Analysis

Frank Li; Xuan Zhang; Alejandro P Comellas; Eric A Hoffman; Michael M Graham; Ching-Long Lin

doi:10.1101/2024.04.10.24305577

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Exploratory Study on COPD Phenotypes and their Progression: Integrating SPECT and qCT Imaging Analysis

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Exploratory Study on COPD Phenotypes and their Progression: Integrating SPECT and qCT Imaging Analysis

Frank Li, Xuan Zhang, Alejandro P Comellas, Eric A Hoffman, Michael M Graham and Ching-Long Lin

medRxiv : the preprint server for health sciences

Cold Spring Harbor Laboratory

04/13/2024

DOI: 10.1101/2024.04.10.24305577

PMCID: PMC11030493

PMID: 38645219

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https://doi.org/10.1101/2024.04.10.24305577View

Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

The objective of this study is to understand chronic obstructive pulmonary disease (COPD) phenotypes and their progressions by quantifying heterogeneities of lung ventilation from the single photon emission computed tomography (SPECT) images and establishing associations with the quantitative computed tomography (qCT) imaging-based clusters and variables. Eight COPD patients completed a longitudinal study of three visits with intervals of about a year. CT scans of these subjects at residual volume, functional residual capacity, and total lung capacity were taken for all visits. The functional and structural qCT-based variables were derived, and the subjects were classified into the qCT-based clusters. In addition, the SPECT variables were derived to quantify the heterogeneity of lung ventilation. The correlations between the key qCT-based variables and SPECT-based variables were examined. The SPECT-based coefficient of variation (CV ), a measure of ventilation heterogeneity, showed strong correlations (|r| ≥ 0.7) with the qCT-based functional small airway disease percentage (fSAD% ) and emphysematous tissue percentage (Emph% ) in the total lung on cross-sectional data. As for the two-year changes, the SPECT-based maximum tracer concentration (TC ), a measure of hot spots, exhibited strong negative correlations with fSAD% , Emph% , average airway diameter in the left upper lobe, and airflow distribution in the middle and lower lobes. Small airway disease is highly associated with the heterogeneity of ventilation in COPD lungs. TC is a more sensitive functional biomarker for COPD progression than CV . Besides fSAD% and Emph% , segmental airways narrowing and imbalanced ventilation between upper and lower lobes may contribute to the development of hot spots over time.

Details

Title: Subtitle: Exploratory Study on COPD Phenotypes and their Progression: Integrating SPECT and qCT Imaging Analysis
Creators: Frank Li
Xuan Zhang
Alejandro P Comellas
Eric A Hoffman
Michael M Graham
Ching-Long Lin
Resource Type: Preprint
Publication Details: medRxiv : the preprint server for health sciences
DOI: 10.1101/2024.04.10.24305577
PMID: 38645219
PMCID: PMC11030493
Publisher: Cold Spring Harbor Laboratory; United States
Language: English
Date posted: 04/13/2024
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Pulmonary, Critical Care, and Occupational Medicine; ICTS; IIHR--Hydroscience and Engineering; Radiation Oncology; Mechanical Engineering; Internal Medicine
Record Identifier: 9984618349602771

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