Evidence map›Paper›PMID 28767732›Full record

ArticlePloS one2017

Influence of exposure parameters and iterative reconstruction on automatic airway segmentation and analysis on MDCT-An ex vivo phantom study.

Patricia Leutz-Schmidt, Oliver Weinheimer, Bertram J Jobst, Julien Dinkel, Jürgen Biederer, Hans-Ulrich Kauczor, Michael U Puderbach, Mark O Wielpütz

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Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 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.

Patricia Leutz-SchmidtDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-3860-7652
Oliver WeinheimerDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
Bertram J JobstDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
Julien DinkelDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
Jürgen BiedererDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
Hans-Ulrich KauczorDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
Michael U PuderbachDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
Mark O WielpützDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the influence of exposure parameters and raw-data-based iterative reconstruction (IR) on computer-aided segmentation and quantitative analysis of the tracheobronchial tree on multidetector computed tomography (MDCT). MATERIAL AND

methods10 porcine heart-lung-explants were mounted inside a dedicated chest phantom. MDCT was performed at 120kV and 80kV with 120, 60, 30 and 12 mAs each. All scans were reconstructed with filtered back projection (FBP) or IR, resulting in a total of 160 datasets. The maximum number of detected airway segments, most peripheral airway generation detected, generation-specific airway wall thickness (WT), total diameter (TD) and normalized wall thickness (pi10) were compared.

resultsThe number of detected airway segments decreased slightly with dose (324.8±118 at 120kV/120mAs vs. 288.9±130 at 80kV/30mAs with FBP, p<0.05) and was not changed by IR. The 20th generation was constantly detected as most peripheral. WT did not change significantly with exposure parameters and reconstruction algorithm across all generations: range 1st generation 2.4-2.7mm, 5th 1.0-1.1mm, and 10th 0.7mm with FBP; 1st 2.3-2.4mm, 5th 1.0-1.1mm, and 10th 0.7-0.8mm with IR. pi10 was not affected as well (range 0.32-0.34mm).

conclusionsExposure parameters and IR had no relevant influence on measured airway parameters even for WT <1mm. Thus, no systematic errors would be expected using automatic airway analysis with low-dose MDCT and IR.

Indexed as

AnimalsHumansLungMultidetector Computed TomographyPhantoms, ImagingRadiographic Image Interpretation, Computer-AssistedSwine

Identifiers

PMID28767732
PMCPMC5540604

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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.