Evidence map›Paper›PMID 42050294›Full record

ArticleEuropean radiology2026

CT-based lung ventilation metrics: reference ranges and pulmonary function test correlations in healthy individuals.

Charlotte E van den Berg, Julian Dittrich, Sarah C Scharm, Cornelia Schaefer-Prokop, Sabine Dettmer, Anna Hunkemoeller, Jan Eckstein, Julian Glandorf, Frank K Wacker, Gesa H Pöhler and 1 more

Abstract read
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Charlotte E van den BergInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Julian DittrichInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Sarah C ScharmInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Cornelia Schaefer-ProkopDepartment of Radiology, Radboud University, Nijmegen, The Netherlands.
Sabine DettmerInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Anna HunkemoellerInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Jan EcksteinInstitute for Radiology, Nuclear Medicine, and Molecular Imaging, Heart and Diabetes Centre North Rhine-Westphalia, Ruhr University Bochum and Medical Faculty OWL (University of Bielefeld), Bad Oeynhausen, Germany.
Julian GlandorfInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Frank K WackerInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Gesa H Pöhler *Department of Radiology, University of Muenster, Muenster, Germany.
Hoen-Oh Shin *Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany. shin.hoen-oh@mh-hannover.de.ORCID http://orcid.org/0000-0002-3176-0075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCT-derived assessment of regional ventilation is possible with paired inspiration and expiration scans. Normative reference values for CT-derived ventilation remain undefined. The aim of this study is to establish reference values for pulmonary ventilation using CT, with pulmonary function tests (PFTs) as the clinical standard. MATERIALS AND

methodsIn this prospective, single-center study (December 2022-April 2024), 103 healthy adults underwent spirometry-guided inspiratory and expiratory CT. Lobes were segmented automatically using TotalSegmentator. Voxel-wise ventilation was quantified as the relative air volume change between inspiration and expiration via nonlinear registration, normalized to inspiratory lung volume. CT-derived lung volumes were compared with PFT-derived total lung capacity (TLC), residual volume (RV), and vital capacity (VC). Reference intervals were reported as mean ± standard deviation and 5th-95th percentiles. Multivariable analyses assessed the effects of sex, age, height, lung region, and gravitational orientation.

resultsNinety-one participants (mean age, 53 ± 12 years; 49 men) were included. Mean ventilation was 59.5% ± 8.5% (5th-95th percentile, 42.1-72.5%). CT-derived volumes were systematically lower than PFT values but strongly correlated: CT-TLC (-13.8%, r = 0.89), CT-RV (-2.5%, r = 0.80), and CT-VC (-20.8%, r = 0.82). Ventilation decreased with age (p < 0.001) and increased with height (p < 0.05). Regionally, ventilation was higher in the lower lobes (p < 0.003) and posterior regions (p < 0.001).

conclusionCT-derived ventilation correlates strongly with PFT-indices but yields lower absolute values. Demographic and anatomical factors significantly influence ventilation distribution. These normative data provide a reference framework for clinical functional lung assessment. KEY POINTS: Question Can normative reference values for CT-derived regional lung ventilation be established, and how do these metrics relate to pulmonary function tests and anatomical/demographic factors? Findings Mean CT-derived ventilation was 59.5% ± 8.5% with strong pulmonary function test correlations. Ventilation exhibited significant regional heterogeneity and systemic variations by anatomical location, age, and sex. Clinical relevance Normative reference values enable objective classification of CT-derived ventilation, standardizing interpretation and reducing subjectivity. They facilitate earlier detection of regional dysfunction, quantitative phenotyping, risk stratification, longitudinal monitoring, and comparability with pulmonary function testing and other imaging.

Indexed as

LungPulmonary VentilationRespiratory Function TestsTomography, X-Ray ComputedAdultAgedFemaleHealthy VolunteersHumansMaleMiddle AgedProspective StudiesReference ValuesLungLung volume measurementsPulmonary ventilationThoraxTomography (x-ray computed)

Identifiers

PMID42050294
PMCPMC13451287

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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.