Evidence map›Paper›PMID 30255248›Full record

ArticleEuropean radiology2019

Initial clinical evaluation of stationary digital chest tomosynthesis in adult patients with cystic fibrosis.

Elias Taylor Gunnell, Dora K Franceschi, Christina R Inscoe, Allison Hartman, Jennifer L Goralski, Agathe Ceppe, Brian Handly, Cassandra Sams, Lynn Ansley Fordham, Jianping Lu and 2 more

Abstract readEvaluation Study
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

12 authors.

Elias Taylor GunnellSchool of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. egunnell@med.unc.edu.ORCID http://orcid.org/0000-0001-6979-0555
Dora K FranceschiSchool of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Christina R InscoeDepartment of Physics and Astronomy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Allison HartmanDepartment of Physics and Astronomy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Jennifer L GoralskiMarsico Lung Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Agathe CeppeMarsico Lung Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Brian HandlyDepartment of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Cassandra SamsDepartment of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Lynn Ansley FordhamDepartment of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Jianping LuDepartment of Physics and Astronomy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Otto ZhouDepartment of Physics and Astronomy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Yueh Z LeeDepartment of Physics and Astronomy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.

Funding

North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
Translational Nanosystems for Improved Lung Cancer Treatment with Small MoleculesU54CA151652 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DESIMONE, JOSEPH M. · 2010 to 2014
$12.1M
low-dose and high-resolution tomosynthesis for lung cancer screeningR21CA185741 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZHOU, OTTO Z · 2014 to 2015
$356k
Cystic Fibrosis Foundation GORALS12L0Cystic Fibrosis Foundation GORALS16C0NCATS NIH HHS UL1 TR001111NCATS NIH HHS UL1TR001111NCI NIH HHS 5R21CA185741NCI NIH HHS 5U54CA151652NCI NIH HHS R21 CA185741NCI NIH HHS U54 CA151652NIH HHS UL1TR001111North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill TTSA001P2
6 · The paper itself

Abstract

objectiveThe imaging evaluation of cystic fibrosis currently relies on chest radiography or computed tomography. Recently, digital chest tomosynthesis has been proposed as an alternative. We have developed a stationary digital chest tomosynthesis (s-DCT) system based on a carbon nanotube (CNT) linear x-ray source array. This system enables tomographic imaging without movement of the x-ray tube and allows for physiological gating. The goal of this study was to evaluate the feasibility of clinical CF imaging with the s-DCT system. MATERIALS AND

methodsCF patients undergoing clinically indicated chest radiography were recruited for the study and imaged on the s-DCT system. Three board-certified radiologists reviewed both the CXR and s-DCT images for image quality relevant to CF. CF disease severity was assessed by Brasfield score on CXR and chest tomosynthesis score on s-DCT. Disease severity measures were also evaluated against subject pulmonary function tests.

resultsFourteen patients underwent s-DCT imaging within 72 h of their chest radiograph imaging. Readers scored the visualization of proximal bronchi, small airways and vascular pattern higher on s-DCT than CXR. Correlation between the averaged Brasfield score and averaged tomosynthesis disease severity score for CF was -0.73, p = 0.0033. The CF disease severity score system for tomosynthesis had high correlation with FEV1 (r = -0.685) and FEF 25-75% (r = -0.719) as well as good correlation with FVC (r = -0.582).

conclusionWe demonstrate the potential of CNT x-ray-based s-DCT for use in the evaluation of cystic fibrosis disease status in the first clinical study of s-DCT. KEY POINTS: • Carbon nanotube-based linear array x-ray tomosynthesis systems have the potential to provide diagnostically relevant information for patients with cystic fibrosis without the need for a moving gantry. • Despite the short angular span in this prototype system, lung features such as the proximal bronchi, small airways and pulmonary vasculature have improved visualization on s-DCT compared with CXR. Further improvements are anticipated with longer linear x-ray array tubes. • Evaluation of disease severity in CF patients is possible with s-DCT, yielding improved visualization of important lung features and high correlation with pulmonary function tests at a relatively low dose.

Indexed as

AdultCystic FibrosisFeasibility StudiesFemaleHumansLungMaleMiddle AgedNanotubes, CarbonRadiography, ThoracicRespiratory Function TestsSeverity of Illness IndexTomography, X-Ray ComputedYoung AdultNanotubes, CarbonCystic fibrosisNanotubes, CarbonScoring methodsTomographyX-rays

Identifiers

PMID30255248
PMCPMC6896210

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Registered trials

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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.