Evidence map›Paper›PMID 28055250›Full record

ArticleThe British journal of radiology2017

Assessment of chest CT at CTDI

Atul Padole, Subba Digumarthy, Efren Flores, Rachna Madan, Shelly Mishra, Amita Sharma, Mannudeep K Kalra

Abstract read
In one paragraph

Article in The British journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Atul Padole1 Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3917-4871
Subba Digumarthy1 Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Efren Flores1 Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Rachna Madan2 Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Shelly Mishra1 Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Amita Sharma1 Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Mannudeep K Kalra1 Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the image quality of chest CT reconstructed with image-based iterative reconstruction (SafeCT; MedicVision

methodsIn an institutional review board-approved study, 25 patients gave written informed consent for acquisition of three reduced dose (0.25-, 0.4- and 0.8-mGy) chest CT after standard of care CT (8 mGy) on a 64-channel multidetector CT (MDCT) and reconstructed with SafeCT, ASIR and MBIR. Two board-certified thoracic radiologists evaluated images from the lowest to the highest dose of the reduced dose CT series and subsequently for standard of care CT.

resultsOut of the 182 detected lesions, the missed lesions were 35 at 0.25, 24 at 0.4 and 9 at 0.8 mGy with SafeCT, ASIR and MBIR, respectively. The most missed lesions were non-calcified lung nodules (NCLNs) 25/112 (<5 mm) at 0.25, 18/112 (<5 mm) at 0.4 and 3/112 (<4 mm) at 0.8 mGy. There were 78%, 84% and 97% lung nodules detected at 0.25, 0.4 and 0.8 mGy, respectively regardless of iterative reconstruction techniques (IRTs), Most mediastinum structures were not sufficiently seen at 0.25-0.8 mGy.

conclusionNCLNs can be missed in chest CT at CTDI

Indexed as

FemaleHumansLungLung NeoplasmsMaleMiddle AgedMultidetector Computed TomographyRadiographic Image Interpretation, Computer-AssistedRadiography, Thoracic

Identifiers

PMID28055250
PMCPMC5601518

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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.