Evidence map›Paper›PMID 42760429›Full record

ArticleEuropean radiology2026

Quantitative and qualitative lung parameters in photon-counting CT: comparison of ultra-low-dose with standard low-dose protocols.

Jonas Kroschke, Lisa Jungblut, Oyunbileg von Stackelberg, Falko Ensle, Bjarne Kerber, Hans-Ulrich Kauczor, Thomas Frauenfelder, Mark Oliver Wielpütz, Oliver Weinheimer

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Article in European radiology, 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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5 · Who and what money

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9 authors.

Jonas KroschkeDepartment of Diagnostic and Interventional Radiology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland. jonas.kroschke@usz.ch.ORCID http://orcid.org/0000-0003-1225-3016
Lisa JungblutDepartment of Diagnostic and Interventional Radiology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland.
Oyunbileg von StackelbergNeurosurgical Clinic, University Hospital Mannheim, Mannheim, Germany.
Falko EnsleDepartment of Diagnostic and Interventional Radiology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland.
Bjarne KerberDepartment of Diagnostic and Interventional Radiology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland.
Hans-Ulrich KauczorDepartment of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany.
Thomas FrauenfelderDepartment of Diagnostic and Interventional Radiology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland.
Mark Oliver WielpützTranslational Lung Research Center (TLRC), German Lung Research Center (DZL), University of Heidelberg, Heidelberg, Germany.
Oliver WeinheimerDepartment of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPhoton-counting CT (PCCT) enables dose reduction beyond energy-integrating CT, but ultra-low-dose acquisitions may impair assessment of airways and lung parenchyma. We evaluated the impact of ultra-low-dose (ULD) PCCT on quantitative and qualitative lung parameters.

methodsIn this prospective study, 101 patients underwent same-session low-dose (LD) and ULD chest CT for mixed indications (CTDIvol, 0.64 ± 0.15 vs. 0.11 ± 0.03 mGy). Automated QCT assessed noise index, airway segmentation, airway wall percentage, emphysema index (EI), mean lung density (MLD), and Percentile15 (Perc15) on soft (Br36u) and lung (Bl64u) kernels. Two readers scored image quality, airways, and emphysema extent using Likert scales.

resultsULD increased noise compared with LD (Bl64u: +94.4%; Br36u: +32.8%) and reduced visual image quality (p < 0.001). Automated airway segmentation decreased (-41.4 mean no. of branches, p < 0.001), with fewer visible airway generations (p < 0.001). Visual bronchial wall thickening did not differ (R1 p = 0.89; R2 p = 0.20). Airway wall percentage showed kernel- and generation-dependent differences: whole-tree values did not differ on Br36u (LD-ULD -0.05%; p = 0.83) but were higher at ULD on Bl64u (LD-ULD -3.33%; p < 0.001), with greater differences peripherally. At ULD, MLD and Perc15 were lower than at LD by 12.5 and 19.9 HU, respectively (both p < 0.001), while EI was 6.2% higher. Visual emphysema assessment shifted toward lower severity at ULD (p < 0.001).

conclusionULD-PCCT enables dose-efficient QCT but introduces limitations: reduced peripheral airway visibility/segmentation with differences in airway wall measurements, biased density-based emphysema quantification, and visual emphysema underestimation at ULD, supporting dose-aware interpretation and further validation of correction strategies. KEY POINTS: Question To study the influence of ultra-low-dose photon-counting chest CT on quantitative and qualitative airway and emphysema assessment compared to low-dose CT. Findings Ultra-low-dose increased noise and reduced peripheral airway segmentation; airway wall metrics showed kernel- and generation-dependent differences, with biased density-based and visual emphysema assessment. Clinical relevance PCCT enables quantitative lung imaging at ultra-low dose, but dose reduction alters airway segmentation and density-based emphysema metrics. ULD-derived QCT therefore requires cautious interpretation and validation of dose-aware correction strategies before routine clinical use.

Indexed as

Image processing, computer-assistedLung diseases, obstructivePulmonary emphysemaThoraxTomography, X-ray computed

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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.