Evidence map›Paper›PMID 39654592›Full record

ArticleEuropean journal of radiology open2024

Low-dose lung CT: Optimizing diagnostic radiation dose - A phantom study.

Michael Zellner, Sebastian Tschauner, Mathias S Weyland, Peter Eggenberger Hotz, Stephan Scheidegger, Christian J Kellenberger

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Article in European journal of radiology open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

6 authors.

Michael ZellnerUniversity Children's Hospital Zürich, Department of Diagnostic Imaging, Zurich, Switzerland.
Sebastian TschaunerUniversity Children's Hospital Zürich, Department of Diagnostic Imaging, Zurich, Switzerland.
Mathias S WeylandCantonal Hospital Aarau AG, Applied Complex Systems Science, Aarau, Switzerland.
Peter Eggenberger HotzCantonal Hospital Aarau AG, Applied Complex Systems Science, Aarau, Switzerland.
Stephan ScheideggerCantonal Hospital Aarau AG, Applied Complex Systems Science, Aarau, Switzerland.
Christian J KellenbergerUniversity Children's Hospital Zürich, Department of Diagnostic Imaging, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: To investigate a quantitative method for assessing image quality of low dose lung computed tomography (CT) and find the lowest exposure dose providing diagnostic images. Methods: Axial volumetric lung CT acquisitions (256 slice scanner) were performed on three different sized anthropomorphic phantoms at different dose levels. The maximum steepness of sigmoid curves fitted to line density profiles was measured at lung-to-pleura interfaces. For each phantom, image sharpness was calculated as the median of 468 measurements from 39 different locations. Diagnostic image quality for the adult and paediatric phantom was rated by three radiologists using 4-point Likert scales. The image sharpness cut-off for obtaining adequate image quality was determined from qualitative ratings. Results: Adequate diagnostic image quality was reached at a median steepness of 713 HU/mm in the adult phantom with a corresponding CTDIvol of 0.14 mGy and an effective dose of 0.13 mSv at a dose level of 100 kVp and 10 mA. In the paediatric phantom diagnostic image quality was reached at a median steepness of 1139 HU/mm with a corresponding CTDIvol of 0.13 mGy and an effective dose of 0.08 mSv at a dose level of 100 kVp and 10 mA. Conclusions: Determination of image sharpness on line density profiles can be used as quantitative measure for image quality of lung CT. Sufficient-quality lung CT can be achieved at effective radiation doses of 0.13 mSv (adult phantom) and 0.08 mSv (paediatric phantom). These findings suggest that substantial dose reduction is feasible without compromising diagnostic accuracy.

Indexed as

Diagnostic imaging, LungLow doseRadiationTomography, X-Ray Computed

Identifiers

PMID39654592
PMCPMC11626076

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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.