Evidence map›Paper›PMID 41451379›Full record

ArticleFrontiers in digital health2025

PCdare software registers 3D back surface with biplanar radiographs: application to patients with scoliosis.

Mirko Kaiser, Martin Bertsch, Christoph J Laux, Sabrina Catanzaro, Tobia Brusa, Marco Wyss, Volker M Koch, William R Taylor, Saša Ćuković

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Mirko KaiserLaboratory for Movement Biomechanics, ETH Zurich, Switzerland.
Martin BertschLaboratory for Movement Biomechanics, ETH Zurich, Switzerland.
Christoph J LauxUniversity Spine Center Zurich, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Sabrina CatanzaroUniversity Spine Center Zurich, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Tobia BrusaBiomedical Engineering Laboratory, Bern University of Applied Sciences, Biel, Switzerland.
Marco WyssBiomedical Engineering Laboratory, Bern University of Applied Sciences, Biel, Switzerland.
Volker M KochBiomedical Engineering Laboratory, Bern University of Applied Sciences, Biel, Switzerland.
William R TaylorLaboratory for Movement Biomechanics, ETH Zurich, Switzerland.
Saša ĆukovićLaboratory for Movement Biomechanics, ETH Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical 3D surface scanning is used increasingly to assess spinal deformity of patients with scoliosis. However, approaches based on optical 3D scanning often underestimate the spinal deformity. To improve the accuracy of such estimates, deeper understanding is required of scoliosis and its effect on the back shape. We present the PCdare research software which registers 3D surface scans with the corresponding biplanar radiographs semi-automatically and facilitates investigations into the relationship between surface and internal modalities. PCdare revealed very strong correlations between the spinous process line and internal spinal alignment, and a median Cobb angle difference of less than 1° from the clinical gold standard. These results increase confidence in the use of 3D scanning with a "back-shape-to-spine" approach and confirm the applicability of PCdare to investigate the relationship between internal alignment and back shape in research.

Indexed as

3D registration3D surface scanningautomationbiplanar radiographsscoliosisvalidation

Identifiers

PMID41451379
PMCPMC12728027

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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.