Evidence map›Paper›PMID 35113169›Full record

ArticleActa orthopaedica2022

CT-based micromotion analysis method can assess early implant migration and development of radiolucent lines in cemented glenoid components: a clinical feasibility study.

Cyrus Brodén, Peter Reilly, Monica Khanna, Ravi Popat, Henrik Olivecrona, Dylan Griffiths, Olof Sköldenberg, Roger Emery

Abstract read
In one paragraph

Article in Acta orthopaedica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Precision, Accuracy, and Observer Reliability of Computed Tomography-Based Radiostereometric Analysis in Measuring Femoral Stem Migration In Vitro.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
    Article
  7. Inducible displacement of cementless total knee arthroplasty components with conventional and weight-bearing CT-based radiostereometric analysis.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    Article
  8. Bone support correlation of X-Ray and CT for a new PE-glenoid.Archives of orthopaedic and trauma surgery · 2024
    Article
  9. Article
  10. Review
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

8 authors.

Cyrus BrodénDepartment of Surgery and Cancer, Imperial College London, St Mary's Hospital, London, UK; Section of Orthopaedics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; Karolinska Institutet, Department of Clinical Sciences, Danderyd Hospital, Division of Orthopaedics, Stockholm, Sweden. cyrus.broden@gmail.com.
Peter ReillyDepartment of Bioengineering, Imperial College London, London, UK. p.reilly@imperial.ac.uk.
Monica KhannaDepartment of Clinical Imaging, Imperial College Healthcare NHS Trust, London, UK. monica.khanna@nhs.net.
Ravi PopatDepartment of Bioengineering, Imperial College London, London, UK. r.popat14@imperial.ac.uk.
Henrik OlivecronaDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden. henrik.olivecrona@gmail.com.
Dylan GriffithsTrauma & Orthopaedic Department, Imperial NHS Trust, London, UK. dylan.griffiths@nhs.net.
Olof SköldenbergKarolinska Institutet, Department of Clinical Sciences, Danderyd Hospital, Division of Orthopaedics, Stockholm, Sweden. olof.skoldenberg@gmail.com.
Roger EmeryDepartment of Surgery and Cancer, Imperial College London, St Mary's Hospital, London, UK. r.emery@imperial.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

background and purposeCT micromotion analysis (CTMA) has been considered as an alternative to radiostereometry (RSA) for assessing early implant migration of orthopedic implants. We investigated the feasibility of CTMA to assess early migration and the progression of radiolucent lines in shoulder arthroplasties over 24 months using sequential low-dose CT scans. PATIENTS AND

methods7 patients were included and underwent 9 primary total shoulder arthroplasties. We made CT scans preoperatively, within 1 week postoperatively, and after 3, 6, 12, and 24 months. At each follow-up, postoperative glenoid migration and any development of radiolucent lines were assessed. Clinical outcomes were recorded at all time points except within 1 week postoperatively.

resultsFor the glenoid component, the median translation and median rotation were 0.00-0.10 mm and -1.53° to 1.05° at 24 months. Radiolucent lines could be observed around all glenoid components. The radiolucent lines developed from the periphery to the center of the implant for 6 glenoid components during follow-up. The Constant Score improved from a mean of 30 (21-51) preoperatively to 69 (41-88) at 24 months.

interpretationCTMA can be used to identify early migration and the development of radiolucent lines over time in glenoid components. Clinical trials with a larger sample size and longer follow-up are needed to establish the relationship between migration, radiolucent lines, loosening, and clinical outcome.

Indexed as

OsteoarthritisShoulder JointFeasibility StudiesFollow-Up StudiesHumansProsthesis DesignProsthesis FailureRange of Motion, ArticularTomography, X-Ray ComputedTreatment Outcome

Identifiers

PMID35113169
PMCPMC8808478

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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.