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Correlation between static radiographic measurements and intersegmental angular measurements during gait using a

Dong Yeon Lee1, Sang Gyo Seo2, Eo Jin Kim2

  • 1Department of Orthopedic Surgery, Seoul National University Hospital, Seoul, Korea Department of Orthopedic Surgery, University of Pennsylvania, Philadelphia, PA, USA leedy@snu.ac.kr.

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Summary

Static radiography correlates with dynamic foot motion during gait. This study found significant correlations between 3D multisegment foot model (3D MFM) measurements and conventional radiographic indices, supporting MFM

Keywords:
correlationgait analysisintersegmental anglemultisegment foot modelradiography

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Area of Science:

  • Orthopedics
  • Biomechanics
  • Radiology

Background:

  • Conventional radiography is a standard orthopedic tool but lacks dynamic gait assessment.
  • 3-dimensional multisegment foot models (3D MFMs) offer advanced evaluation of foot and ankle intersegmental motion.
  • This study investigates the relationship between static radiographic measures and dynamic MFM indices.

Purpose of the Study:

  • To evaluate the correlation between static radiographic indices and intersegmental foot motion indices derived from 3D MFMs.
  • To determine if conventional radiographic measurements can predict dynamic foot and ankle segment motion during gait.

Main Methods:

  • 125 female subjects underwent static radiography (full-leg, AP/lateral foot views) and 3D MFM gait analysis.
  • Key radiographic indices measured included tibiotalar angle, talar tilt, calcaneal pitch, and hallux valgus angle.
  • Intersegmental angles (ISAs) for hallux, forefoot, hindfoot, and arch segments were recorded during gait analysis.

Main Results:

  • Significant correlations were found between 3D MFM intersegmental angle (ISA) measurements and static radiographic indices at the midstance phase of gait.
  • Coronal plane hindfoot ISA correlated with AP tibiotalar angle and talar tilt.
  • Hallux valgus angle (HVA) strongly correlated with the transverse plane ISA of the hallux.

Conclusions:

  • 3D MFM gait analysis provides indices that correlate with conventional static radiographic measurements.
  • The correlation at midstance supports the use of 3D MFMs for analyzing dynamic foot segment motion during gait.
  • This linkage validates MFM as a tool for understanding dynamic foot biomechanics in relation to static radiographic findings.