Evidence map›Paper›PMID 26521266›Full record

ArticleEuropean radiology2016

Prior Image Constrained Compressed Sensing Metal Artifact Reduction (PICCS-MAR): 2D and 3D Image Quality Improvement with Hip Prostheses at CT Colonography.

Peter Bannas, Yinsheng Li, Utaroh Motosugi, Ke Li, Meghan Lubner, Guang-Hong Chen, Perry J Pickhardt

Abstract read
In one paragraph

Article in European radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

7 authors.

Peter BannasDepartment of Radiology, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA. p.bannas@uke.de.
Yinsheng LiDepartment of Medical Physics, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA.
Utaroh MotosugiDepartment of Radiology, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA.
Ke LiDepartment of Radiology, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA.
Meghan LubnerDepartment of Radiology, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA.
Guang-Hong ChenDepartment of Radiology, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA.
Perry J PickhardtDepartment of Radiology, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA.

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Virtual Colonoscopy and Colorectal Cancer ScreeningR01CA144835 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI PICKHARDT, PERRY, SMITH, MAUREEN A · 2010 to 2013
$2.1M
Ultra-Low Radiation Dose Body CT ImagingR01CA169331 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CHEN, GUANG-HONG, PICKHARDT, PERRY · 2012 to 2016
$1.4M
NCATS NIH HHS UL1 TR000427NCI NIH HHS R01 CA144835NCI NIH HHS R01 CA169331
6 · The paper itself

Abstract

purposeTo assess the effect of the prior-image-constrained-compressed-sensing-based metal-artefact-reduction (PICCS-MAR) algorithm on streak artefact reduction and 2D and 3D-image quality improvement in patients with total hip arthroplasty (THA) undergoing CT colonography (CTC). MATERIALS AND

methodsPICCS-MAR was applied to filtered-back-projection (FBP)-reconstructed DICOM CTC-images in 52 patients with THA (unilateral, n = 30; bilateral, n = 22). For FBP and PICCS-MAR series, ROI-measurements of CT-numbers were obtained at predefined levels for fat, muscle, air, and the most severe artefact. Two radiologists independently reviewed 2D and 3D CTC-images and graded artefacts and image quality using a five-point-scale (1 = severe streak/no-diagnostic confidence, 5 = no streak/excellent image-quality, high-confidence). Results were compared using paired and unpaired t-tests and Wilcoxon signed-rank and Mann-Whitney-tests.

resultsStreak artefacts and image quality scores for FBP versus PICCS-MAR 2D-images (median: 1 vs. 3 and 2 vs. 3, respectively) and 3D images (median: 2 vs. 4 and 3 vs. 4, respectively) showed significant improvement after PICCS-MAR (all P < 0.001). PICCS-MAR significantly improved the accuracy of mean CT numbers for fat, muscle and the area with the most severe artefact (all P < 0.001).

conclusionsPICCS-MAR substantially reduces streak artefacts related to THA on DICOM images, thereby enhancing visualization of anatomy on 2D and 3D CTC images and increasing diagnostic confidence. KEY POINTS: • PICCS-MAR significantly reduces streak artefacts associated with total hip arthroplasty on 2D and 3D CTC. • PICCS-MAR significantly improves 2D and 3D CTC image quality and diagnostic confidence. • PICCS-MAR can be applied retrospectively to DICOM images from single-kVp CT.

Indexed as

ArtifactsData CompressionHip ProsthesisAgedAged, 80 and overAlgorithmsArthroplasty, Replacement, HipColonography, Computed TomographicFemaleHip JointHumansImaging, Three-DimensionalMaleMetalsMiddle AgedQuality ImprovementMetalsComputed tomographyCTCT colonographyMetal artefact reductionTotal hip arthroplasty

Identifiers

PMID26521266
PMCPMC4852162

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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.