Evidence map›Paper›PMID 31781921›Full record

ArticleSurgical and radiologic anatomy : SRA2020

Volume fusion of CT images to measure femoral symmetricity.

Peyman Bakhshayesh, Olof Sandberg, Vishal Kumar, Adam Ali, Anders Enocson

Abstract read
In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. 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
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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

5 authors.

Peyman BakhshayeshImperial College Healthcare, London, UK. peyman.bakhshayesh@ki.se.ORCID http://orcid.org/0000-0001-6712-185X
Olof SandbergSectra AB, Linköping, Sweden.
Vishal KumarDepartment of Surgery and Cancer, Imperial College Healthcare, London, UK.
Adam AliImperial College Healthcare, London, UK.
Anders EnocsonDepartment of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePre-operative planning is widely used in orthopaedic surgery. In case of trauma with fracture or previous injury with malunion, the contralateral extremity is used as a surrogate for planning with an assumption of symmetry between sides. The aim of this study was to investigate femoral symmetricity in human adults.

methodsTen randomly selected lower extremity computerized tomography (CT) images were analyzed for femur symmetry using 3D Trauma and CT motion analysis (CTMA). Mirrored images of the left femur were created using the right as a template. The 3D images from each side were merged, and translational and rotational differences reported.

resultsThere were no statistically significant differences between mirrored images of the left and right femurs. Differences in rotation and translation of bony segmentation showed a greater variation in internal and external rotation of the distal femur (CI - 0.7° to 4.9°) compared to varus/valgus (CI - 1.3° to 0.8°) or flexion/extension (CI - 0.5° to 0.6°), though none of these differences were significant.

conclusionThe left and right femurs of healthy adults are symmetrical. Pre-operative templating relying on the contralateral healthy femur is encouraged.

Indexed as

Imaging, Three-DimensionalPatient Care PlanningAdultAgedFemaleFemurHumansMaleMiddle AgedOrthopedic ProceduresTomography, X-Ray ComputedCT scanHuman anatomyImage fusionSurface fusionSurgical planning

Identifiers

PMID31781921
PMCPMC7181440

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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.