Evidence map›Paper›PMID 35526210›Full record

ArticleSpine deformity2022

Reliability of automated topographic measurements for spine deformity.

Benjamin N Groisser, Howard J Hillstrom, Ankush Thakur, Kyle W Morse, Matthew Cunningham, M Timothy Hresko, Ron Kimmel, Alon Wolf, Roger F Widmann

Abstract read
In one paragraph

Article in Spine deformity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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  6. Surface topography demonstrates gradual improvement in spinal range of motion in all three planes following posterior spinal fusion in adolescent idiopathic scoliosis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
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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

9 authors.

Benjamin N GroisserDepartment of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa, Israel. bgroisser@campus.technion.ac.il.ORCID 0000-0003-1986-3247
Howard J HillstromDepartment of Rehabilitation, Hospital for Special Surgery, New York City, NY, USA.
Ankush ThakurDepartment of Orthopedic Surgery, Hospital for Special Surgery, New York City, NY, USA.
Kyle W MorseDepartment of Orthopedic Surgery, Hospital for Special Surgery, New York City, NY, USA.
Matthew CunninghamDepartment of Orthopedic Surgery, Hospital for Special Surgery, New York City, NY, USA.
M Timothy HreskoDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, MA, USA.
Ron KimmelDepartment of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel.
Alon WolfDepartment of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.
Roger F WidmannDepartment of Orthopedic Surgery, Hospital for Special Surgery, New York City, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study introduces a novel surface-topographic scanning system capable of automatically generating a suite of objective measurements to characterize torso shape. RESEARCH QUESTION: what is the reliability of the proposed system for measurement of trunk alignment parameters in patients with adolescent idiopathic scoliosis (AIS) and controls?

methodsForty-six adolescents (26 with AIS and 20 controls) were recruited for a prospective reliability study. A series of angular, volumetric, and area measures were computed from topographic scans in each of three clinically relevant poses using a fully automated processing pipeline. Intraclass correlation coefficients (ICC(2,1)) were computed within (intra-) and between (inter-) raters. Measurements were also performed on a torso phantom.

resultsTopographic measurements computed on a phantom were highly accurate (mean RMS error 1.7%) compared with CT. For human subjects, intra- and inter-rater reliability were both high (average ICC > 0.90) with intrinsic (pose-independent) measurements having near-perfect reliability (average ICC > 0.98).

conclusionThe proposed system is a suitable tool for topographic analysis of AIS; topographic measurements offer an objective description of torso shape that may complement other imaging modalities. Further research is needed to compare topographic findings with gold standard imaging of spinal alignment, e.g., standing radiography.

conclusionclinical parameters can be reliably measured in a fully automated system, paving the way for objective analysis of symmetry, body shape pre/post-surgery, and tracking of pathology without ionizing radiation.

Indexed as

KyphosisScoliosisAdolescentHumansProspective StudiesRadiographyReproducibility of ResultsSpineATRReliabilityScoliosisSurface topographyTrunk shape

Identifiers

PMID35526210
PMCPMC9378338

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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.