Frank Li, Xuan Zhang, Alejandro P Comellas, Eric A Hoffman, Michael M Graham, Ching-Long Lin
{"title":"综合SPECT和qCT成像对COPD表型的纵向研究。","authors":"Frank Li, Xuan Zhang, Alejandro P Comellas, Eric A Hoffman, Michael M Graham, Ching-Long Lin","doi":"10.3389/fphys.2025.1555230","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The aim of this research is to elucidate chronic obstructive pulmonary disease (COPD) progression by quantifying lung ventilation heterogeneities using single-photon emission computed tomography (SPECT) images and establishing correlations with quantitative computed tomography (qCT) imaging-based metrics. This approach seeks to enhance our understanding of how structural and functional changes influence ventilation heterogeneity in COPD.</p><p><strong>Methods: </strong>Eight COPD subjects completed a longitudinal study with three visits, spaced about a year apart. CT scans were performed at each visit and qCT-based variables were derived to measure the structural and functional characteristics of the lungs, while the SPECT-based variables were used to quantify lung ventilation heterogeneity. The correlations between key qCT-based variables and SPECT-based variables were examined.</p><p><strong>Results: </strong>The SPECT-based ventilation heterogeneity (CV<sub>Total</sub>) showed strong correlations with the qCT-based functional small airway disease percentage (fSAD%<sub>Total</sub>) and emphysematous tissue percentage (Emph%<sub>Total</sub>) in the total lung, based on cross-sectional data. Over the 2-year period, changes in SPECT-based hot spots (TC<sub>Max</sub>) exhibited strong negative correlations with changes in fSAD%<sub>Total</sub>, Emph%<sub>Total</sub>, and the average airway diameter in the left upper lobe, as well as a strong positive correlation with alternations in airflow distribution between the upper and lower lobes.</p><p><strong>Discussion: </strong>In conclusion, this study found strong positive cross-sectional correlations between CV<sub>Total</sub> and both fSAD% and Emph%, suggesting that these markers primarily reflect static disease severity at a single time point. In contrast, longitudinal correlations between changes in TC<sub>Max</sub> and other variables over 2 years may capture the dynamic process of hot spot formation, independent of disease severity. These findings suggest that changes in TC<sub>Max</sub> may serve as a more sensitive biomarker than changes in CV<sub>Total</sub> for tracking the underlying mechanisms of COPD progression.</p>","PeriodicalId":12477,"journal":{"name":"Frontiers in Physiology","volume":"16 ","pages":"1555230"},"PeriodicalIF":3.2000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12061679/pdf/","citationCount":"0","resultStr":"{\"title\":\"Longitudinal study of COPD phenotypes using integrated SPECT and qCT imaging.\",\"authors\":\"Frank Li, Xuan Zhang, Alejandro P Comellas, Eric A Hoffman, Michael M Graham, Ching-Long Lin\",\"doi\":\"10.3389/fphys.2025.1555230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The aim of this research is to elucidate chronic obstructive pulmonary disease (COPD) progression by quantifying lung ventilation heterogeneities using single-photon emission computed tomography (SPECT) images and establishing correlations with quantitative computed tomography (qCT) imaging-based metrics. This approach seeks to enhance our understanding of how structural and functional changes influence ventilation heterogeneity in COPD.</p><p><strong>Methods: </strong>Eight COPD subjects completed a longitudinal study with three visits, spaced about a year apart. CT scans were performed at each visit and qCT-based variables were derived to measure the structural and functional characteristics of the lungs, while the SPECT-based variables were used to quantify lung ventilation heterogeneity. The correlations between key qCT-based variables and SPECT-based variables were examined.</p><p><strong>Results: </strong>The SPECT-based ventilation heterogeneity (CV<sub>Total</sub>) showed strong correlations with the qCT-based functional small airway disease percentage (fSAD%<sub>Total</sub>) and emphysematous tissue percentage (Emph%<sub>Total</sub>) in the total lung, based on cross-sectional data. Over the 2-year period, changes in SPECT-based hot spots (TC<sub>Max</sub>) exhibited strong negative correlations with changes in fSAD%<sub>Total</sub>, Emph%<sub>Total</sub>, and the average airway diameter in the left upper lobe, as well as a strong positive correlation with alternations in airflow distribution between the upper and lower lobes.</p><p><strong>Discussion: </strong>In conclusion, this study found strong positive cross-sectional correlations between CV<sub>Total</sub> and both fSAD% and Emph%, suggesting that these markers primarily reflect static disease severity at a single time point. In contrast, longitudinal correlations between changes in TC<sub>Max</sub> and other variables over 2 years may capture the dynamic process of hot spot formation, independent of disease severity. These findings suggest that changes in TC<sub>Max</sub> may serve as a more sensitive biomarker than changes in CV<sub>Total</sub> for tracking the underlying mechanisms of COPD progression.</p>\",\"PeriodicalId\":12477,\"journal\":{\"name\":\"Frontiers in Physiology\",\"volume\":\"16 \",\"pages\":\"1555230\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12061679/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Physiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fphys.2025.1555230\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PHYSIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Physiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fphys.2025.1555230","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PHYSIOLOGY","Score":null,"Total":0}
Longitudinal study of COPD phenotypes using integrated SPECT and qCT imaging.
Introduction: The aim of this research is to elucidate chronic obstructive pulmonary disease (COPD) progression by quantifying lung ventilation heterogeneities using single-photon emission computed tomography (SPECT) images and establishing correlations with quantitative computed tomography (qCT) imaging-based metrics. This approach seeks to enhance our understanding of how structural and functional changes influence ventilation heterogeneity in COPD.
Methods: Eight COPD subjects completed a longitudinal study with three visits, spaced about a year apart. CT scans were performed at each visit and qCT-based variables were derived to measure the structural and functional characteristics of the lungs, while the SPECT-based variables were used to quantify lung ventilation heterogeneity. The correlations between key qCT-based variables and SPECT-based variables were examined.
Results: The SPECT-based ventilation heterogeneity (CVTotal) showed strong correlations with the qCT-based functional small airway disease percentage (fSAD%Total) and emphysematous tissue percentage (Emph%Total) in the total lung, based on cross-sectional data. Over the 2-year period, changes in SPECT-based hot spots (TCMax) exhibited strong negative correlations with changes in fSAD%Total, Emph%Total, and the average airway diameter in the left upper lobe, as well as a strong positive correlation with alternations in airflow distribution between the upper and lower lobes.
Discussion: In conclusion, this study found strong positive cross-sectional correlations between CVTotal and both fSAD% and Emph%, suggesting that these markers primarily reflect static disease severity at a single time point. In contrast, longitudinal correlations between changes in TCMax and other variables over 2 years may capture the dynamic process of hot spot formation, independent of disease severity. These findings suggest that changes in TCMax may serve as a more sensitive biomarker than changes in CVTotal for tracking the underlying mechanisms of COPD progression.
期刊介绍：
Frontiers in Physiology is a leading journal in its field, publishing rigorously peer-reviewed research on the physiology of living systems, from the subcellular and molecular domains to the intact organism, and its interaction with the environment. Field Chief Editor George E. Billman at the Ohio State University Columbus is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
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