Evidence map›Paper›PMID 36545681›Full record

ArticleFrontiers in bioengineering and biotechnology2022

Multi-level multi-domain statistical shape model of the subtalar, talonavicular, and calcaneocuboid joints.

Andrew C Peterson, Rich J Lisonbee, Nicola Krähenbühl, Charles L Saltzman, Alexej Barg, Nawazish Khan, Shireen Y Elhabian, Amy L Lenz

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Morphology of the scaphotrapeziotrapezoid joint: A multi-domain statistical shape modeling approach.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024
    Article
  13. Review
  14. Article
  15. Description of anatomical differences in 3D bone morphology between female individuals with progressive collapsing foot deformity and asymptomatic controls.The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons
    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

8 authors.

Andrew C PetersonDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, United States.
Rich J LisonbeeDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, United States.
Nicola KrähenbühlUniversity Hospital Basel, Basel, Switzerland.
Charles L SaltzmanDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, United States.
Alexej BargDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, United States.
Nawazish KhanSchool of Computing, College of Engineering, University of Utah, Salt Lake City, UT, United States.
Shireen Y ElhabianSchool of Computing, College of Engineering, University of Utah, Salt Lake City, UT, United States.
Amy L LenzDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, United States.

Funding

ShapeWorks in the CloudR01AR076120 · NIAMS · UNIVERSITY OF UTAH · PI ELHABIAN, SHIREEN YOUSSEF · 2019 to 2024
$2.7M
ShapeWorksStudio: An Integrative, User-Friendly, and Scalable Suite for Shape Representation and AnalysisU24EB029011 · NIBIB · UNIVERSITY OF UTAH · PI ELHABIAN, SHIREEN YOUSSEF · 2019 to 2023
$1.4M
Classification of Ankle Osteoarthritis Severity from Weightbearing Computed Tomography Using Statistical Shape Modeling and Machine LearningK01AR080221 · NIAMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Amy L. Lenz · 2022 to 2026
$707k
NIAMS NIH HHS K01 AR080221NIAMS NIH HHS R01 AR076120NIBIB NIH HHS U24 EB029011
6 · The paper itself

Abstract

Traditionally, two-dimensional conventional radiographs have been the primary tool to measure the complex morphology of the foot and ankle. However, the subtalar, talonavicular, and calcaneocuboid joints are challenging to assess due to their bone morphology and locations within the ankle. Weightbearing computed tomography is a novel high-resolution volumetric imaging mechanism that allows detailed generation of 3D bone reconstructions. This study aimed to develop a multi-domain statistical shape model to assess morphologic and alignment variation of the subtalar, talonavicular, and calcaneocuboid joints across an asymptomatic population and calculate 3D joint measurements in a consistent weightbearing position. Specific joint measurements included joint space distance, congruence, and coverage. Noteworthy anatomical variation predominantly included the talus and calcaneus, specifically an inverse relationship regarding talar dome heightening and calcaneal shortening. While there was minimal navicular and cuboid shape variation, there were alignment variations within these joints; the most notable is the rotational aspect about the anterior-posterior axis. This study also found that multi-domain modeling may be able to predict joint space distance measurements within a population. Additionally, variation across a population of these four bones may be driven far more by morphology than by alignment variation based on all three joint measurements. These data are beneficial in furthering our understanding of joint-level morphology and alignment variants to guide advancements in ankle joint pathological care and operative treatments.

Indexed as

computational morphometricsfoot and anklemidtarsal joint lockingstatistical shape modelingweightbearing computed tomography

Identifiers

PMID36545681
PMCPMC9760736

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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.