Evidence map›Paper›PMID 36336748›Full record

ArticleEuropean journal of hybrid imaging2022

Attenuation correction for PET/MRI to measure tracer activity surrounding total knee arthroplasty.

Caleigh E Bourdon, Zachary J Koudys, Brent A Lanting, C Thomas Appleton, Jonathan D Thiessen, Matthew G Teeter

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of hybrid imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06951477 (Gut Microbiome in Orthopaedics), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 51% 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.

NCT06951477 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Gut Microbiome in Orthopaedics: Investigating the Role of Gut Microbiome Composition in Total Knee Arthroplasty Failure

TypeobservationalSponsorLondon Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph'sRan2025 to 2027Enrolled30ConditionsRevision Total Knee Arthroplasty, Osteoarthritis, KneeArmsRevision Total Knee Arthroplasty
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

6 authors at 1 institution in 1 country.

Caleigh E BourdonDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, Canada.
Zachary J KoudysDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, Canada. zkoudys@uwo.ca.ORCID http://orcid.org/0000-0003-2824-726X
Brent A LantingDepartment of Surgery, Schulich School of Medicine & Dentistry, Western University, London, Canada.
C Thomas AppletonDepartment of Medicine, Schulich School of Medicine & Dentistry, Western University, London, Canada.
Jonathan D ThiessenDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, Canada.
Matthew G TeeterDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, Canada.
Western University · CA

Funding

NSERC Discovery Grant RGPIN-2022-04423
6 · The paper itself

Abstract

backgroundPositron emission tomography (PET) in combination with magnetic resonance imaging (MRI) could allow inflammatory complications near total knee arthroplasty (TKA) to be studied early in their development. However, attenuation of the PET signal by the metal TKA implants imparts substantial error into measurements of tracer activity, and conventional MR-based attenuation correction (AC) methods have large signal voids in the vicinity of metal implants. PURPOSE: To evaluate a segmentation-based AC approach to measure tracer uptake from PET/MRI scans near TKA implants.

methodsA TKA implant (Triathlon, Stryker, Mahwah, USA) was implanted into a cadaver. Four vials were filled with [

resultsThe original AC resulted in a percentage error of 64.1% from the known total activity. Errors in the individual vial activities ranged from 40.2 to 82.7%. Using the new segmentation-based AC, the percentage error of the total activity decreased to 3.55%. Errors in the individual vials were less than 15%.

conclusionsThe segmentation-based AC technique dramatically reduced the error in activity measurements that result from PET signal attenuation by the metal TKA implant. This approach may be useful to enhance the reliability of PET/MRI measurements for numerous applications.

Indexed as

Hybrid PET/MRIInpaintingMetal artifactsMR-based attenuation correctionPET quantificationTotal knee replacement

Identifiers

PMID36336748
PMCPMC9637681
OpenAlexW4308295886

What OpenQuestion holds

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Registered trials

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.