Evidence map›Paper›PMID 28289906›Full record

ArticleEmergency radiology2017

Pediatric chest CT at chest radiograph doses: when is the ultralow-dose chest CT clinically appropriate?

Javier E Villanueva-Meyer, David M Naeger, Jesse L Courtier, Michael D Hope, Jack W Lambert, John D MacKenzie, Andrew S Phelps

Open access · greenAbstract read
In one paragraph

Article in Emergency radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 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.

Javier E Villanueva-MeyerDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, M-391, San Francisco, CA, 94143, USA. Javier.Villanueva-Meyer@ucsf.edu.
David M NaegerThoracic Radiology Section, University of California San Francisco, San Francisco, CA, USA.
Jesse L CourtierPediatric Radiology Section, University of California San Francisco Benioff Children's Hospital, 1975 4th St C1758, San Francisco, CA, 94158, USA.
Michael D HopeThoracic Radiology Section, University of California San Francisco, Box 0628, 350 Parnassus Avenue, Room 307, San Francisco, CA, 94117, USA.
Jack W LambertPediatric Radiology Section, University of California San Francisco Benioff Children's Hospital, 1975 4th St C1758, San Francisco, CA, 94158, USA.
John D MacKenziePediatric Radiology Section, University of California San Francisco Benioff Children's Hospital, 1975 4th St C1758, San Francisco, CA, 94158, USA.
Andrew S PhelpsPediatric Radiology Section, University of California San Francisco Benioff Children's Hospital, 1975 4th St C1758, San Francisco, CA, 94158, USA.
University of California, San Francisco · USUCSF Benioff Children's Hospital · US

Funding

Biomedical Imaging for Clinician ScientistsT32EB001631 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS M LINK · 2005 to 2026
$5.6M
NIBIB NIH HHS T32 EB001631
6 · The paper itself

Abstract

purposeComputed tomography (CT) use in emergency departments represents a significant contribution to pediatric patients' exposure to ionizing radiation. Here, we evaluate whether ultralow-dose chest CT can be diagnostically adequate for other diagnoses and whether model-based iterative reconstruction (MBIR) can improve diagnostic adequacy compared to adaptive statistical iterative reconstruction (ASIR) at ultralow doses.

methodsTwenty children underwent chest CTs: 10 standard-dose reconstructed with ASIR and 10 ultralow-dose reconstructed with ASIR and MBIR. Four radiologists assessed images for their adequacy to exclude five hypothetical diagnoses: foreign body, fracture, lung metastasis, pulmonary infection, and interstitial lung disease. Additionally, pairwise comparison for subjective image quality was used to compare ultralow-dose chest CT with ASIR and MBIR. Radiation dose and objective image noise measures were obtained.

resultsFor exclusion of an airway foreign body, the adequacy of ultralow-dose CT was comparable to standard-dose (p = 0.6). For the remaining diagnoses, ultralow-dose CT was inferior to standard-dose (p = 0.03-<0.001). MBIR partially recovered the adequacy of ultralow-dose CT to exclude pulmonary infection (p = 0.017), but was suboptimal for the other diagnoses. Image noise was significantly lower with MBIR compared to ASIR in ultralow-dose CT (p < 0.001), although subjective preference showed only a slight advantage of MBIR (58 versus 42%).

conclusionsUltralow-dose chest CT may be adequate for airway assessment, but suboptimal for the evaluation parenchymal lung disease. Although MBIR improves objective and subjective image quality, it does not completely restore the diagnostic adequacy of ultralow-dose CT when compared to standard-dose CT.

Indexed as

Radiation DosageAdolescentAlgorithmsChildFemaleHumansMaleRadiographic Image Interpretation, Computer-AssistedRadiography, ThoracicRetrospective StudiesTomography, X-Ray ComputedAirway foreign bodyChest CTPediatric CTUltralow-dose CT

Identifiers

PMID28289906
PMCPMC5522642
OpenAlexW2595338371

What OpenQuestion holds

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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.