Evidence map›Paper›PMID 31559058›Full record

ArticleJournal of thoracic disease2019

Volumetric assessment of solid pulmonary nodules on ultralow-dose CT: a phantom study.

Matthias Eberhard, Daniel Stocker, Gianluca Milanese, Katharina Martini, Thi Dan Linh Nguyen-Kim, Moritz C Wurnig, Thomas Frauenfelder, Stephan Baumueller

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Article in Journal of thoracic disease, 2019. 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Matthias EberhardInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Daniel StockerInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Gianluca MilaneseDivision of Radiology, Department of Medicine and Surgery (DiMeC), University of Parma, Parma, Italy.
Katharina MartiniInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Thi Dan Linh Nguyen-KimInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Moritz C WurnigInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Thomas FrauenfelderInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Stephan BaumuellerInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo reduce the radiation exposure from chest computed tomography (CT), ultralow-dose CT (ULDCT) protocols performed at sub-millisievert levels were previously tested for the evaluation of pulmonary nodules (PNs). The purpose of our study was to investigate the effect of ULDCT and iterative image reconstruction on volumetric measurements of solid PNs.

methodsCT datasets of an anthropomorphic chest phantom containing solid microspheres were obtained with a third-generation dual-source CT at standard dose, 1/8th, 1/20th and 1/70th of standard dose [CT volume dose index (CTDI

resultsBland-Altman analysis revealed small mean interscan differences of APE with narrow limits of agreement (-0.1%±4.3% to -0.3%±3.8%). Dose settings (P<0.001), reconstruction algorithms (P<0.001), nodule diameters (P<0.001) and nodule density (P=0.011) had statistically significant influence on APE. Post-hoc Bonferroni tests showed slightly higher APE when scanning with 1/70th of standard dose [mean difference: 3.4%, 95% confidence interval (CI): 2.5-4.3%; P<0.001], and for image reconstruction with ADMIRE5 (mean difference: 1.8%, 95% CI: 1.0-2.5%; P<0.001). No significant differences for scanning with 1/20th of standard dose (P=0.42), and image reconstruction with ADMIRE3 (P=0.19) were found. Scanning with 1/70th of standard dose and image reconstruction with FBP showed the widest range of PDs (-16.8% to 23.4%) compared to standard dose-FBP.

conclusionsOur phantom study showed no significant difference between nodule volume measurements on standard dose CT (CTDI

Indexed as

Image reconstructionmultidetector computed tomography (multidetector CT)solitary pulmonary nodule (solitary PN)

Identifiers

PMID31559058
PMCPMC6753441

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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.