Evidence map›Paper›PMID 41992233›Full record

ArticleBMC pulmonary medicine2026

Regional differences of lung parenchyma attenuation after contrast administration in quantitative dual energy chest CT.

Christina Schachner, Quirin D Strotzer, Lucca Scheuermeyer, Sonja Frank, Florian Raab, Stefanie Meiler, Maximilian V Malfertheiner, Simone Hammer, Christian Stroszczynski, Okka W Hamer

Abstract readMulticenter Study
In one paragraph

Article in BMC pulmonary medicine, 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

10 authors.

Christina SchachnerDepartment of Radiology, University of Regensburg Medical Center, Franz- Josef-Strauss-Allee 11, Regensburg, 93053, Germany. christina.schachner@stud.uni-regensburg.de.
Quirin D StrotzerDepartment of Radiology, University of Regensburg Medical Center, Franz- Josef-Strauss-Allee 11, Regensburg, 93053, Germany.
Lucca ScheuermeyerDepartment of Radiology, University of Regensburg Medical Center, Franz- Josef-Strauss-Allee 11, Regensburg, 93053, Germany.
Sonja FrankDepartment of Radiology, University of Regensburg Medical Center, Franz- Josef-Strauss-Allee 11, Regensburg, 93053, Germany.
Florian RaabDepartment of Radiology, University of Regensburg Medical Center, Franz- Josef-Strauss-Allee 11, Regensburg, 93053, Germany.
Stefanie MeilerDepartment of Radiology, University of Regensburg Medical Center, Franz- Josef-Strauss-Allee 11, Regensburg, 93053, Germany.
Maximilian V MalfertheinerClinic of Pneumonology, Donaustauf Hospital, Ludwigstrasse 68, Donaustauf, 93093, Germany.
Simone HammerDepartment of Radiology, University of Regensburg Medical Center, Franz- Josef-Strauss-Allee 11, Regensburg, 93053, Germany.
Christian StroszczynskiDepartment of Radiology, University of Regensburg Medical Center, Franz- Josef-Strauss-Allee 11, Regensburg, 93053, Germany.
Okka W HamerDepartment of Radiology, University of Regensburg Medical Center, Franz- Josef-Strauss-Allee 11, Regensburg, 93053, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe administration of contrast material increases the density of lunge parenchyma on computed tomography. Lung pathologies which are characterized by an only slight alteration of lung attenuation (e.g. ground glass opacities or emphysema) should therefore be evaluated on non-enhanced scans in order to avoid misinterpretation. However, contrast administration is very helpful in some clinical scenarios like suspected pulmonary embolism or malignancy. This study aimed to quantify the amount of increase of lung parenchymal density after intravenous contrast administration compared to non-enhanced images and whether this increase exhibits regional variation similar to or different from the attenuation on non-enhanced scans. MATERIALS AND

methodsThis retrospective, IRB-approved, bi-center study included patients who underwent both contrast-enhanced dual-energy and non-enhanced chest CT scans within a year between 04/2018 and 12/2022. Scans were co-registered and semi-manually segmented into the whole lung and isovolumetric segmentations of the ventral/dorsal halves and upper/middle/lower thirds. Mean lung density for each region was calculated from contrast-enhanced (CE), virtual non-contrast (VNC), and true non-contrast (TNC) scans. Bland-Altman analyses with non-parametric limits of agreement assessed the mean difference in attenuation values, with differences between lung regions tested by the Mann-Whitney U test. Subgroup differences were also analyzed by Mann-Whitney U tests. Correlation analyses were performed to investigate the correlation between the increase in density from contrast media and the non-enhanced density.

resultsFourty eight patients (26 females, median age: 63y) fulfilled the inclusion criteria. The majority suffered from emphysema and/or overinflation. The mean increase in lung density between TNC and CE scans was 11.65 HU [95% Confidence Interval: 6.10, 17.19] for the whole lung. Amount of increase ranged from 7.79 HU [0.65, 14.94] to 16.35 HU [11.22, 21.53] for different lung regions. Comparing VNC with CE scans showed an average increase in lung density of 11.21 HU [8.63, 13.79]. Amount of increase ranged from 2.02 HU [-2.06, 6.10] to 16.58 HU [13.47, 19.70] for different lung regions. A significant difference between contrast enhancement based on TNC versus VNC images was found for the upper third only. For the whole lung and all other lung regions no differences in density increase were seen. Regression analyses and Spearman's Rho showed that increase in density tended to be more pronounced in lung regions with higher baseline density in non-enhanced scans.

conclusionsThe mean increase in density of lung parenchyma after contrast administration was approx. 11 HU, for both TNC and VNC baseline images. There were substantial variations across individuals and lung regions with a tendency of higher increases in areas with higher baseline density on non-enhanced images. Knowledge of these phenomena avoid misinterpretation of contrast enhanced scans.

Indexed as

Contrast MediaLungTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesContrast MediaContrast enhancementDensityDual-energy CTLung

Identifiers

PMID41992233
PMCPMC13085475

What Socratic holds

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LicenceCC BY
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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.