Evidence map›Paper›PMID 42380956›Full record

Observational studyBMC pulmonary medicine2026

3D CT-Based quantification of airway structural changes during asthma exacerbations: a retrospective observational study.

Ryosuke Ozoe, Kenji Mizumura, Yosuke Nemoto, Michio Kawamura, Shun Yokota, Naho Furusho, Yusuke Kurosawa, Shiho Yamada, Masayuki Nomoto, Yuko Iida and 8 more

Abstract readObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Ryosuke Ozoe *Division of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Kenji Mizumura *Division of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan. mizumura.kenji@nihon-u.ac.jp.
Yosuke NemotoDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Michio KawamuraDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Shun YokotaDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Naho FurushoDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Yusuke KurosawaDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Shiho YamadaDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Masayuki NomotoDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Yuko IidaDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Go NakaDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Yutaka KozuDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Yoshiko NakagawaDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Takashi OkiDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Tetsuo ShimizuDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Motoyasu IikuraDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Shuichiro MaruokaDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.
Yasuhiro GonDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo, 173-8610, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditionally, mucus plugs have been evaluated using two-dimensional computed tomography (CT) images through expert visual assessment, a process that requires substantial experience and specialized knowledge of airway anatomy. In the present study, we propose a novel approach employing three-dimensional CT (3D-CT) with semi-automated quantification, which can be performed in routine clinical practice without requiring expert readers. We aimed to demonstrate its feasibility and clinical relevance for assessing mucus plug burden and exacerbation severity in asthma.

methodsThis exploratory, single-center, retrospective study included 23 patients with asthma and a history of exacerbations. Using a clinically available 3D-CT application, we semi-automatically quantified bronchial endpoint count and bronchial volume in both stable and exacerbation phases, and calculated their percentage change. We further assessed correlations of these parameters with mucus plug scores and arterial blood gas measurements.

resultsThe bronchial endpoint count and bronchial volume were significantly lower during exacerbations than during the stable phase; both showed a significant negative correlation with mucus plug scores during exacerbations. The percentage change of bronchial endpoint count and bronchial volume from the stable to exacerbation phase also correlated with mucus plug scores. The bronchial endpoint count and bronchial volume at exacerbation-related admission did not correlate with the PaO

conclusionsClinically available semi-automated 3D-CT analysis enables objective and reproducible quantification of bronchial endpoint count and bronchial volume during asthma exacerbations, eliminating the need for expert readers. Their percentage change from the stable to exacerbation phase not only reflect mucus plug burden but also correlate with oxygenation status. These imaging biomarkers enable objective and quantitative assessment of structural airway abnormalities, including airway narrowing, distal airway obstruction, and mucus impaction. They are not intended to replace conventional clinical or physiological assessment, but rather to provide complementary structural information regarding the underlying causes of physiological abnormalities, such as impaired oxygenation, when detected by physiological evaluation. Furthermore, such quantitative structural assessment may contribute to a better understanding of airway structural changes and airway dynamics during asthma exacerbations.

Indexed as

AsthmaBronchiImaging, Three-DimensionalTomography, X-Ray ComputedAdultAgedBlood Gas AnalysisDisease ProgressionFeasibility StudiesFemaleHumansMaleMiddle AgedMucusRetrospective StudiesSeverity of Illness IndexAsthmaBronchial endpoint countBronchial volumeClinical relevanceExacerbationsSemi-automated 3D-CT analysis

Identifiers

PMID42380956
PMCPMC13621706

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.