Evidence map›Paper›PMID 32991062›Full record

ArticleJournal of applied clinical medical physics2020

Feasibility of bronchial wall quantification in low- and ultralow-dose third-generation dual-source CT: An ex vivo lung study.

Lin Zhang, Gert Jan Pelgrim, Jing Yan, Hao Zhang, Rozemarijn Vliegenthart, Xueqian Xie

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In one paragraph

Article in Journal of applied clinical medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Guideline
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

6 authors.

Lin ZhangRadiology Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Gert Jan PelgrimDepartment of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Jing YanSiemens Healthcare Ltd, Shanghai, China.
Hao ZhangRadiology Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rozemarijn VliegenthartDepartment of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Xueqian XieRadiology Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-6669-0097

Funding

Clinical Research Innovation Plan of Shanghai General Hospital CTCCR-2018B04Clinical Research Innovation Plan of Shanghai General Hospital CTCCR-2019D05Ministry of Science and Technology 2016YFE0103000National Natural Science Foundation of China 81971612Shanghai Jiao Tong University ZH2018ZDB10Shanghai Municipal Education Commission 20181814
6 · The paper itself

Abstract

purposeTo investigate image quality and bronchial wall quantification in low- and ultralow-dose third-generation dual-source computed tomography (CT).

methodsA lung specimen from a formerly healthy male was scanned using third-generation dual-source CT at standard-dose (51 mAs/120 kV, CTDI

resultsBronchial wall quantification had no correlation with dose level, kV, or ADMIRE level (|correlation coefficients| < 0.3). SNR and noise showed no statistically significant differences at different kV in the same ADMIRE level (1, 3, or 5) and in the same dose group (P > 0.05). Generally, there were no significant differences in bronchial wall quantification among the standard- and low/ultralow-dose settings, and among different ADMIRE levels (P > 0.05).

conclusionThe combined use of low/ultralow-dose scanning and ADMIRE does not influence bronchial wall quantification compared to standard-dose CT. This specimen study suggests the potential that an ultralow-dose scan can be used for bronchial wall quantification.

Indexed as

Radiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedFeasibility StudiesHumansLungMaleRadiation Dosageairway quantificationchronic obstructive pulmonary diseaseradiation dosageradiologic phantomX-ray computed tomography

Identifiers

PMID32991062
PMCPMC7592972

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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.