Evidence map›Paper›PMID 38657477›Full record

ArticleGait & posture2024

A method for automated masking and plantar pressure analysis using segmented computed tomography scans.

Lynda M Brady, Corey Wukelic, William R Ledoux

Open access · greenAbstract read
In one paragraph

Article in Gait & posture, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
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, 1 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Lynda M BradyVA RR& D Center for Limb Loss and MoBility (CLiMB), Seattle, WA 98108, USA; Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.
Corey WukelicVA RR& D Center for Limb Loss and MoBility (CLiMB), Seattle, WA 98108, USA.
William R LedouxVA RR& D Center for Limb Loss and MoBility (CLiMB), Seattle, WA 98108, USA; Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA; Department of Orthopaedics & Sports Medicine, University of Washington, Seattle, WA 98195, USA. Electronic address: wrledoux@uw.edu.
University of Washington · US

Funding

Coordinating and Bioinformatics Unit for the MMPC/DiaCompU24DK076169 · NIDDK · AUGUSTA UNIVERSITY · PI MCINDOE, RICHARD A. · 2006 to 2018
$42.4M
Coordinating Unit for DiaCompU24DK115255 · NIDDK · AUGUSTA UNIVERSITY · PI MCINDOE, RICHARD A. · 2017 to 2020
$11.6M
Senior Research Career ScientistIK6RX002970 · VA · VA PUGET SOUND HEALTHCARE SYSTEM · PI LEDOUX, WILLIAM R. · 2018 to 2025
–
NIDDK NIH HHS U24 DK076169NIDDK NIH HHS U24 DK115255RRD VA IK6 RX002970
6 · The paper itself

Abstract

backgroundPlantar pressure, a common gait and foot biomechanics measurement, is typically analyzed using proprietary commercial software packages. Regional plantar pressure analysis is often reported in terms of underlying bony geometry, and recent advances in image processing and accessibility have made computed tomography, radiographs, magnetic resonance imaging, or other imaging methods more popular for incorporating bone analyses in biomechanics. RESEARCH QUESTION: Can a computed tomography-based regional mask provide comparable regional analysis to commercial plantar pressure software and can the increased flexibility of an in-house method obtain additional insight from common measurements?

methodsA plantar pressure analysis method was developed based on bony geometry from computed tomography scans to calculate peak pressure, pressure time integral incorporating sub-peak values, force time integral, pressure gradient, and pressure gradient angle. Static and dynamic plantar pressure were acquired for 4 subjects (male, 65 ± 2.4 years). Plantar pressure variables were calculated using commercial and computed tomography-based systems.

resultsDynamic peak pressure, pressure time integral, and force-time integral computed using the bone-based software was 5 % (9kPa), 7 % (0.3kPa-s) and 13 % (0.3 N-s) different than the commercial software on average. Region masks of the metatarsals and toes differed between commercial and computed tomography-based software due to subject-specific bone geometry and toe shape. Pressure time integral values incorporating sub-peak pressure were higher and demonstrated higher relative hindfoot values compared to those without. Removing step-on frames to static pressure analysis decreased forefoot pressures. Regional maps of peak pressure and maximum pressure gradient demonstrate different peak locations. SIGNIFICANCE: Computed tomography-based regional masks are comparable to commercial masks. Inclusion of static step-on frames and sub-peak pressures may change regional plantar pressure patterns. Differences in location of maximum pressure gradient and peak pressure may be useful for assessing subject specific injury risk.

Indexed as

FootPressureTomography, X-Ray ComputedAgedBiomechanical PhenomenaGaitHumansMaleSoftwareComputed tomographyImage analysisPlantar pressurePressure gradient

Identifiers

PMID38657477
PMCPMC11127777
OpenAlexW4394799229

What OpenQuestion holds

Textmetadata
LicenceTDM
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.