Automated three-dimensional distance and coverage mapping of hallux valgus: a case-control study

Authors

  • Kepler Alencar Mendes de Carvalho Department of Orthopedics and Rehabilitation, Carver College of Medicine, University of Iowa. https://orcid.org/0000-0003-1082-6490
  • Andrew Behrens Department of Orthopedics and Rehabilitation, Carver College of Medicine, University of Iowa. https://orcid.org/0000-0002-4588-9291
  • Vineel Mallavarapu Department of Orthopedics and Rehabilitation, Carver College of Medicine, University of Iowa. https://orcid.org/0000-0002-8612-5941
  • Ryan Jasper Department of Orthopedics and Rehabilitation, Carver College of Medicine, University of Iowa. https://orcid.org/0000-0003-3448-1300
  • Nacime Salomão Barbachan Mansur Department of Orthopedics and Rehabilitation, Carver College of Medicine, University of Iowa. https://orcid.org/0000-0003-1067-727X
  • Matthieu Lalevee Department of Orthopedics and Rehabilitation, Carver College of Medicine, University of Iowa.
  • Kevin Dibbern Department of Orthopedics and Rehabilitation, Carver College of Medicine, University of Iowa. https://orcid.org/0000-0002-8061-4453
  • César de César Netto Department of Orthopedics and Rehabilitation, Carver College of Medicine, University of Iowa. https://orcid.org/0000-0001-6037-0685

DOI:

https://doi.org/10.30795/jfootankle.2022.v16.1629

Keywords:

Imaging, three-dimensional, Hallux valgus, Metatarsal bones, Weight-bearing

Abstract

Objective: To develop distance-mapping and coverage-mapping algorithms to assess metatarsophalangeal and metatarsal-sesamoid joint interaction in hallux valgus patients, comparing them to a control group. Methods: A total of 9 hallux valgus patients (mean age 37.1 y; 6 F/3 M) and 5 controls (mean age 39 y; 4 F/1 M) underwent weight-bearing computed tomography. Specific software was used to obtain bone segmentation images of the first and second metatarsals, the first and second proximal phalanxes, and the tibial and fibular sesamoids. Joint interaction based on distance mapping and coverage mapping of the first and second metatarsophalangeal joints and the metatarsal-sesamoid joints were calculated. The surfaces of the metatarsophalangeal joints were divided in a 2-by-2 grid using the principal axes to provide a more detailed analysis. P-values <0.05 were considered significant. Results: Coverage maps of hallux valgus and control patients revealed marked lateral and dorsal displacement in joint interaction of the first metatarsophalangeal joint, including decreased joint coverage of the medial facet of the joint. When comparing first metatarsophalangeal joint coverage, hallux valgus patients had significantly lower coverage of the dorsomedial quadrant (77%, p=0.0002) than controls, as well as significantly higher coverage of the plantarlateral (182%, p=0.005) and dorsolateral quadrants (44.9%, p=0.035). Conclusions: In this case-control study, we developed a distance and coverage map weight-bearing computed tomography algorithm to objectively assess 3D joint interaction, joint coverage, and subluxation in hallux valgus deformity. We observed significantly greater first and second metatarsophalangeal joint subluxation in hallux valgus patients than controls. Level of Evidence III; Case Control Study.

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Published

2022-04-30

How to Cite

Alencar Mendes de Carvalho, K. ., Behrens, A. ., Mallavarapu, V., Jasper, R., Barbachan Mansur, N. S. ., Lalevee, . M. ., Dibbern, K., & de César Netto, C. (2022). Automated three-dimensional distance and coverage mapping of hallux valgus: a case-control study. Journal of the Foot & Ankle, 16(1), 41–45. https://doi.org/10.30795/jfootankle.2022.v16.1629