Evidence map›Paper›PMID 28376262›Full record

ArticleMedical physics2017

The effects of iterative reconstruction and kernel selection on quantitative computed tomography measures of lung density.

Alfonso Rodriguez, Frank N Ranallo, Philip F Judy, Sean B Fain

Abstract read
In one paragraph

Article in Medical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

22 citing papers in PubMed, 30 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Alfonso RodriguezDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Frank N RanalloDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Philip F JudyBrigham and Women's Hospital, Boston, MA, USA.
Sean B FainDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
University of Wisconsin–Madison · USBrigham and Women's Hospital · US

Funding

Stability of Severe Asthma Phenotypes: Impact of ExacerbationsU10HL109168 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI JARJOUR, NIZAR N · 2011 to 2016
$3.9M
NHLBI NIH HHS U10 HL109168NIBIB NIH HHS HHSN268201300071C
6 · The paper itself

Abstract

purposeTo determine the effects of iterative reconstruction (IR) and high-frequency kernels on quantitative computed tomography (qCT) density measures at reduced X-ray dose. MATERIALS AND

methodsThe COPDGene 2 Phantom (CTP 698, The Phantom Laboratory, Salem, NY) with four embedded lung mimicking foam densities (12lb, 20lb, and 4lb), as well as water, air, and acrylic reference inserts, was imaged using a GE 64 slice CT750 HD scanner in helical mode with four current-time products ranging from 12 to 100 mAs. The raw acquired data were reconstructed using standard (STD - low frequency) and Bone (high frequency) kernels with filtered back projection (FBP), 100% ASiR, and Veo reconstruction algorithms. The reference density inserts were manually segmented using Slicer3D (www.slicer.org), and the mean, standard deviation, and histograms of the segmented regions were generated using Fiji (http://fiji.sc/Fiji) for each reconstruction. Measurements of threshold values placed on the cumulative frequency distribution of voxels determined by these measured histograms at 5%, PD5

resultsThe use of high-resolution kernels in conjunction with ASiR and Veo did not significantly affect the mean Hounsfield units (HU) of each of the density standards (< 4 HU deviation) and current-time products within the phantom when compared with the STD+FBP reconstruction conventionally used in clinical applications. A truncation of the scanner reported HU values at -1024 that shifts the mean toward more positive values was found to cause a systematic error in lower attenuating regions. Use of IR drove convergence toward the mean of measured histograms (~100-137% increase in the number measured voxels at the mean of the histogram), while the combination of Bone+ASiR preserved the standard deviation of HU values about the mean compared to STD+FBP, with the added effect of improved spatial resolution and accuracy in airway measures. PD5

conclusionsExtension of the scanner reportable HU values below the present limit of -1024 will mitigate discrepancies found in qCT lung densitometry in low-density regions. The density histogram became more sharply peaked, and standard deviation was reduced for IR, directly effecting density thresholds, PD5

Indexed as

Radiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedAlgorithmsHumansLungLung DiseasesPhantoms, ImagingRadiation Dosagecomputed tomographyemphysemaiterative reconstructionlung densityperc15quantitative imagingRA950

Identifiers

PMID28376262
PMCPMC5497316
OpenAlexW2604918559

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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.