Evidence map›Paper›PMID 30560356›Full record

ArticleEuropean radiology2019

Dose estimation of ultra-low-dose chest CT to different sized adult patients.

Tony M Svahn, Tommy Sjöberg, Jennifer C Ast

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05398887 (Utilization and Effectiveness of Ultra-low-dose Chest Computed Tomography Using Innovative CT Denoising Solution Based on Deep Learning Technology), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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.

NCT05398887 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Utilization and Effectiveness of Ultra-low-dose Chest Computed Tomography Using Innovative CT Denoising Solution Based on Deep Learning Technology

TypeinterventionalSponsorIntermed HospitalRan2022 to 2022Enrolled200ConditionsLung DiseasesArmsLow radiation dose CT, Underwent ultra dose chest CT, Artificial Intelligence based model
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 29 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Tony M SvahnCentre for Research and Development, Uppsala University/Region Gävleborg, 801 88, Gävle, Sweden. Tony.Svahn@regiongavleborg.se.ORCID http://orcid.org/0000-0003-4754-9626
Tommy SjöbergDepartment of Surgical Science, Uppsala University, 751 85, Uppsala, Sweden.
Jennifer C AstDepartment of Organismal Biology, Uppsala University, 752 36, Uppsala, Sweden.
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the effect of patient size on radiation dose for standard CT (SD-CT), ultra-low-dose CT (ULD-CT) and two-view digital radiography (DR).

methodsDosimeters were distributed within the lungs of chest phantoms representing males of 65 kg and 82 kg (body mass indices 23 and 29). In contrast to SD-CT and DR which include automatic exposure control (AEC), the ULD scan employs a fixed mAs value. The phantoms were exposed to SD, ULD and DR while recording lung doses. Projected dose data were calculated from the phantoms. The resulting exposure settings were used in Monte Carlo programs to determine the effective dose for a standard-sized (BMI 24.2) adult male (170 cm/70 kg) and female (160 cm/59 kg). Patients previously examined by both ULD- and SD-CT were identified to determine post hoc size-specific dose estimates (SSDEs).

resultsULD-CT dose was inversely related to patient size; average lung doses summarised in terms of patient size BMI

conclusionsThe effective doses for a standard-sized male and female examined by ULD-CT are (respectively) ~ 6%/~ 11% of SD-CT and ~ 5/~ 10 times higher than DR. ULD-CT gave a lower radiation dosage to larger patients than DR. AEC is warranted in ULD-CT for improved dose consistency. KEY POINTS: • For standard-sized patients, ULD-CT dose level is ~ 6%/~ 11% of SD-CT, and ~ 5/~ 10 times higher than DR. For larger patients, ULD-CT is currently being used clinically at lower dose levels than DR. • Using ULD-CT should greatly reduce the risk of late effects from ionising radiation. • AEC in ULD-CT is desirable for increased consistency in patient dose.

Indexed as

Phantoms, ImagingAdultBody Mass IndexFemaleHumansImaging, Three-DimensionalLungLung DiseasesMaleMonte Carlo MethodRadiation DosageRadiography, ThoracicTomography, X-Ray ComputedDigital radiographyRadiation dosageThoracic radiographyTomography

Identifiers

PMID30560356
OpenAlexW2903674506

What OpenQuestion holds

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Registered trials

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.