Evidence map›Paper›PMID 42888276›Full record

ArticleRadiologie (Heidelberg, Germany)2026

Dual-respiratory-phase low-dose quantitative CT for assessing COPD severity.

He Chang, Yunhan Zhang, Guangming Ma, Nan Yu, Qian Tian

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Article in Radiologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

5 authors.

He ChangSchool of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Yunhan ZhangSchool of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Guangming MaSchool of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Nan YuSchool of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Qian TianDepartment of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, 712046, Xianyang, Shaanxi, China. tianqian19900503@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the ability of quantitative parameters derived from low-dose dual-respiratory-phase CT to differentiate the severity of chronic obstructive pulmonary disease (COPD). MATERIALS AND

methodsWe enrolled 100 COPD patients between October 2023 and October 2024. Inspiratory CT scans were performed using a standard-dose protocol, and expiratory scans were performed using a low-dose protocol. Images were reconstructed with 60% adaptive statistical iterative reconstruction (ASIR). Dual-respiratory-phase image registration was performed on a dedicated "Digital Lung" platform to quantify the following parameters: end-expiratory lung volume (LV

resultsQuantitative parameters, including LV

conclusionLow-dose expiratory CT combined with dual-respiratory-phase quantitative analysis provides reliable imaging biomarkers that correlate strongly with pulmonary function. The predictive model incorporating both fSAD% and Emph% demonstrates excellent diagnostic performance for assessing COPD severity and may serve as a noninvasive adjunct tool for disease stratification.

Indexed as

Chronic obstructive pulmonary diseaseEmphysemaLow-dose CTQuantitative CTSmall airway disease

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.