Evidence map›Paper›PMID 42325943›Full record

ArticleNorth American Spine Society journal2026

Smartphone-based Structure-from-Motion for the remote assessment of trunk rotation in spine deformity.

Sinduja Suresh, Addison Elise Suhr, Penelope De Gavelle De Roany, Leanne Kok, Ella Morsch, Annabelle Stubbs, Maree Therese Izatt, Robert David Labrom, Geoffrey Noel Askin, Judith Paige Little

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In one paragraph

Article in North American Spine Society journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Sinduja SureshBiomechanics and Spine Research Group (BSRG) at the Centre for Children's Health Research (CCHR), School of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 62 Graham St, South Brisbane, Queensland 4101, Australia.
Addison Elise SuhrBiomechanics and Spine Research Group (BSRG) at the Centre for Children's Health Research (CCHR), School of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 62 Graham St, South Brisbane, Queensland 4101, Australia.
Penelope De Gavelle De RoanyBiomechanics and Spine Research Group (BSRG) at the Centre for Children's Health Research (CCHR), School of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 62 Graham St, South Brisbane, Queensland 4101, Australia.
Leanne KokBiomechanics and Spine Research Group (BSRG) at the Centre for Children's Health Research (CCHR), School of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 62 Graham St, South Brisbane, Queensland 4101, Australia.
Ella MorschBiomechanics and Spine Research Group (BSRG) at the Centre for Children's Health Research (CCHR), School of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 62 Graham St, South Brisbane, Queensland 4101, Australia.
Annabelle StubbsBiomechanics and Spine Research Group (BSRG) at the Centre for Children's Health Research (CCHR), School of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 62 Graham St, South Brisbane, Queensland 4101, Australia.
Maree Therese IzattBiomechanics and Spine Research Group (BSRG) at the Centre for Children's Health Research (CCHR), School of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 62 Graham St, South Brisbane, Queensland 4101, Australia.
Robert David LabromBiomechanics and Spine Research Group (BSRG) at the Centre for Children's Health Research (CCHR), School of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 62 Graham St, South Brisbane, Queensland 4101, Australia.
Geoffrey Noel AskinBiomechanics and Spine Research Group (BSRG) at the Centre for Children's Health Research (CCHR), School of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 62 Graham St, South Brisbane, Queensland 4101, Australia.
Judith Paige LittleBiomechanics and Spine Research Group (BSRG) at the Centre for Children's Health Research (CCHR), School of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 62 Graham St, South Brisbane, Queensland 4101, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In scoliosis care, telehealth typically focuses on virtual assessments of posture and flexibility as surrogates for physical examinations, with quantitative measurements limited to radiography. This study evaluates the feasibility of using smartphone-based structure-from-motion (SfM) for patients to capture reliable 3D representations of their torsos using accessible, low-cost tools and enable remote surface measurement of Axial Trunk Rotation (ATR) without physical scoliometer use. We assess the accuracy and reliability of ATR measurements derived from SfM models, identify recommended image capture conditions, and examine the influence of reconstruction parameters such as tie point number, depth map quality, manual background masking, and scaling. Methods: Twenty adolescents with idiopathic scoliosis were recruited from a single hospital and 3D surface scanning (3DSS) and SfM datasets were acquired during standard appointments. A structured protocol for image capture and reconstruction was developed. ATR measurements from SfM were compared with clinical (analog scoliometer) and technical (3DSS) gold standards using correlation and Bland-Altman plots. ATR from SfM models scaled in 2 software packages was compared with 3DSS. Intra and inter-user variability in manual image masking was assessed on a subset of 5 patients captured under varying background conditions. Results: A total of 60 to 80 photographs captured in a structured manner provided the best balance between time, patient fatigue, and reconstruction quality. Optimal reconstruction occurred with 15,000 tie points and medium-quality depth maps. ATR measured on SfM models showed strong positive correlation (>0.85, p < .001) with both the analog scoliometer and 3DSS, with proportional biases of 1.13° and 1.33° (≥90% points within agreement limits). Scaling comparisons showed mean biases of 0.78° (Agisoft Metashape) and 1.13° (Geomagic Wrap). Manual masking produced ATR variability consistently <2°. Conclusions: Smartphone-based SfM offers a practical, low-cost alternative to 3DSS for evaluating trunk rotation. Its accuracy and reliability support its potential integration into telehealth workflows for scoliosis care.

Indexed as

Adolescent idiopathic scoliosisAxial trunk rotationSpine deformityStructure from motionSurface topographyTelehealth

Identifiers

PMID42325943
PMCPMC13277533

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.