Evidence map›Paper›PMID 41245713›Full record

ArticleJournal of experimental orthopaedics2025

High agreement of three-dimensional lower limb alignment analysis between a novel cone-beam CT and multislice CT.

Philipp Blum, Julius Watrinet, Marianne Hollensteiner, Peter Augat, Michael Scherr, Michael Seidenbusch, Marcus Treitl, Fabian Stuby, Julian Fürmetz

Abstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  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

9 authors.

Philipp BlumDepartment of Trauma Surgery BG Unfallklinik Murnau Murnau Germany.
Julius WatrinetDepartment of Trauma Surgery BG Unfallklinik Murnau Murnau Germany.ORCID https://orcid.org/0000-0003-0578-4142
Marianne HollensteinerInstitute for Biomechanics BG Unfallklinik Murnau Murnau Germany.
Peter AugatInstitute for Biomechanics BG Unfallklinik Murnau Murnau Germany.
Michael ScherrDepartment of Radiology BG Unfallklinik Murnau Murnau Germany.
Michael SeidenbuschDepartment of Radiology BG Unfallklinik Murnau Murnau Germany.
Marcus TreitlDepartment of Radiology BG Unfallklinik Murnau Murnau Germany.
Fabian StubyDepartment of Trauma Surgery BG Unfallklinik Murnau Murnau Germany.
Julian FürmetzDepartment of Trauma Surgery BG Unfallklinik Murnau Murnau Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Lower limb alignment analysis based on three-dimensional (3D) models has become integral to preoperative planning. However, 3D models are typically reconstructed from data acquired in non-weight-bearing conditions. This study aims to validate a cone beam computed tomography (CBCT) for a three-dimensional assessment of the lower limb in upright position. Methods: A fixed phantom limb, derived from supine CT data, was built and scanned five times by two different imaging modalities (CBCT and multislice computed tomography (MSCT)) in the upright and supine positions. A surface comparison between the 3D models generated from CBCT and MSCT was conducted. Furthermore, two observers performed alignment analysis by determining 31 landmarks on each 3D model. Intra- and interobserver variability of the landmarks and root mean square error (RMSE) of angles, axes, patellofemoral values, and leg lengths were evaluated. Results: The surface comparison revealed excellent agreement, with deviations primarily confined within the range of ±0.2 mm. Intra- and interobserver variability of all landmarks was less than 5 mm in both imaging modalities. The mean precision of all landmarks in CBCT and MSCT showed no statistically significant difference between both modalities (1.38 mm [SD 0.63] vs. 1.46 mm [SD 0.74], Conclusion: CBCT and MSCT showed a high level of agreement in 3D imaging of the lower limb and assessing alignment and joint level metrics. By offering 3D imaging under physiological load, CBCT may have the potential to improve preoperative planning in clinical use. Level of Evidence: N/A.

Indexed as

3D imagingalignmentcone beam computed tomographylower limbMultitom Rax

Identifiers

PMID41245713
PMCPMC12616264

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.