Evidence map›Paper›PMID 36441234›Full record

ArticleNeuroradiology2023

Comparison of image quality between a novel mobile CT scanner and current generation stationary CT scanners.

Henrik Andersson, Ashkan Tamaddon, Mazdak Malekian, Kristina Ydström, Roger Siemund, Teresa Ullberg, Johan Wasselius

Open access · hybridAbstract read
In one paragraph

Article in Neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 42% 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.

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

4 citing papers in PubMed, 6 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

7 authors at 2 institutions in 1 country.

Henrik AnderssonDepartment of Medical Imaging and Physiology, Skåne University Hospital, 221 85, Lund, Sweden.ORCID http://orcid.org/0000-0002-2406-1989
Ashkan TamaddonDepartment of Medical Imaging and Physiology, Skåne University Hospital, 221 85, Lund, Sweden.
Mazdak MalekianDepartment of Medical Imaging and Physiology, Skåne University Hospital, 221 85, Lund, Sweden.
Kristina YdströmRadiation Physics, Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, 22185, Lund, Sweden.ORCID http://orcid.org/0000-0001-5542-8395
Roger SiemundDepartment of Medical Imaging and Physiology, Skåne University Hospital, 221 85, Lund, Sweden.ORCID http://orcid.org/0000-0002-8333-9442
Teresa UllbergDepartment of Medical Imaging and Physiology, Skåne University Hospital, 221 85, Lund, Sweden.ORCID http://orcid.org/0000-0002-6717-0915
Johan WasseliusDepartment of Medical Imaging and Physiology, Skåne University Hospital, 221 85, Lund, Sweden. johan.wasselius@gmail.com.ORCID http://orcid.org/0000-0003-1896-381X
Lund University · SESkåne University Hospital · SE

Funding

AIDA #2024Crafoordska Stiftelsen #20200548Region of Skåne #47455Skånes universitetssjukhus #96437Skånes universitetssjukhus #96438The Swedish Government YF-ALF #43435VINNOVA #2020-04841
6 · The paper itself

Abstract

purposePoint-of-care imaging with mobile CT scanners offers several advantages, provided that the image quality is satisfactory. Our aim was to compare image quality of a novel mobile CT to stationary scanners for patients in a neurosurgical intensive care unit (ICU).

methodsFrom November 2020 to April 2021, all patients above 18 years of age examined by a mobile CT scanner at a neurosurgical ICU were included if they also had a stationary head CT examination during the same hospitalization. Quantitative image quality parameters included attenuation and noise in six predefined regions of interest, as well as contrast-to-noise ratio between gray and white matter. Subjective image quality was rated on a 4-garde scale, by four radiologists blinded to scanner parameters.

resultsFifty patients were included in the final study population. Radiation dose and image attenuation values were similar for mobCT and stationary CTs. There was a small statistically significant difference in subjective quality rating between mobCT and stationary CT images. Two radiologists favored the stationary CT images, one was neutral, and one favored mobCT images. For overall image quality, 14% of mobCT images were rated grade 1 (poor image quality) compared to 8% for stationary CT images.

conclusionPoint-of-care brain CT imaging was successfully performed on clinical neurosurgical ICU patients with small reduction in image quality, predominantly affecting the posterior fossa, compared to high-end stationary CT scanners.

Indexed as

Tomography, X-Ray ComputedWhite MatterHeadHumansRadiation DosageTomography Scanners, X-Ray ComputedBrain CTHead CTImage quality analysisMobile CT scannerPoint-of-care imaging

Identifiers

PMID36441234
PMCPMC9905188
OpenAlexW4310211642

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.