Evidence map›Paper›PMID 39635307›Full record

ArticleWorld journal of radiology2024

Ultra-low-dose chest computed tomography with model-based iterative reconstruction in the analysis of solid pulmonary nodules: A prospective study.

Patrick W O'Regan, Antonia Harold-Barry, Alexander T O'Mahony, Claire Crowley, Stella Joyce, Niamh Moore, Owen J O'Connor, Michael T Henry, David J Ryan, Michael M Maher

Abstract read
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In one paragraph

Article in World journal of radiology, 2024. 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. Review
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.

Patrick W O'ReganDepartment of Radiology, School of Medicine, University College Cork, Cork T12 AK54, Ireland. patrickoregan@ucc.ie.
Antonia Harold-BarryDepartment of Radiology, Cork University Hospital, Cork T12 DC4A, Ireland.
Alexander T O'MahonyDepartment of Radiology, Cork University Hospital, Cork T12 DC4A, Ireland.
Claire CrowleyDepartment of Radiology, Mercy University Hospital, Cork T12WE28, Ireland.
Stella JoyceDepartment of Radiology, Cork University Hospital, Cork T12 DC4A, Ireland.
Niamh MooreDepartment of Radiology, School of Medicine, University College Cork, Cork T12 AK54, Ireland.
Owen J O'ConnorDepartment of Radiology, Cork University Hospital, Cork T12 DC4A, Ireland.
Michael T HenryDepartment of Respiratory Medicine, Cork University Hospital, Cork T12 DC4A, Ireland.
David J RyanDepartment of Radiology, School of Medicine, University College Cork, Cork T12 AK54, Ireland.
Michael M MaherDepartment of Radiology, School of Medicine, University College Cork, Cork T12 AK54, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncidental pulmonary nodules are an increasingly common finding on computed tomography (CT) scans of the thorax due to the exponential rise in CT examinations in everyday practice. The majority of incidental pulmonary nodules are benign and correctly identifying the small number of malignant nodules is challenging. Ultra-low-dose CT (ULDCT) has been shown to be effective in diagnosis of respiratory pathology in comparison with traditional standard dose techniques. Our hypothesis was that ULDCT chest combined with model-based iterative reconstruction (MBIR) is comparable to standard dose CT (SDCT) chest in the analysis of pulmonary nodules with significant reduction in radiation dose.

aimTo prospectively compare ULDCT chest combined with MBIR with SDCT chest in the analysis of solid pulmonary nodules.

methodsA prospective cohort study was conducted on adult patients (

resultsOne hundred solid nodules were detected on ULDCT chest and 98 on SDCT chest. There was no significant difference in the characteristics of correctly identified nodules when comparing SDCT chest to ULDCT chest protocols. Signal-to-noise ratio was significantly increased in the ULDCT chest in all areas except in the paraspinal muscle at the maximum cardiac diameter level (

conclusionULDCT chest combined with MBIR is non-inferior to SDCT chest in the analysis of previously identified solid pulmonary nodules and facilitates a large reduction in radiation dose.

Indexed as

Adult humanComputed tomography methodsRadiation dosageSolid pulmonary nodulesUltra-low dose computed tomography

Identifiers

PMID39635307
PMCPMC11612801

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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.