Anterior talofibular ligament footprint dimension measured using three-dimensional magnetic resonance imaging.

Anatomy Ankle Anterior talofibular ligament Magnetic resonance imaging

Journal

Skeletal radiology
ISSN: 1432-2161
Titre abrégé: Skeletal Radiol
Pays: Germany
ID NLM: 7701953

Informations de publication

Date de publication:
07 Sep 2024
Historique:
received: 06 04 2024
accepted: 20 08 2024
revised: 01 08 2024
medline: 7 9 2024
pubmed: 7 9 2024
entrez: 7 9 2024
Statut: aheadofprint

Résumé

Knowledge of footprint anatomy is essential for ankle anterior talofibular ligament repair and reconstruction. We aimed to determine the intra- and inter-rater measurement reliability of the anterior talofibular ligament footprint dimension using three-dimensional MRI. MRI images of 20 ankles with intact ligaments, including 11 with a single bundle and nine with double-bundle ligaments, were analyzed. Imaging was performed using a 3.0-Tesla MRI. Isotropic three-dimensional proton density-weighted images with a voxel size of 0.6 mm were obtained. The fibular and talar footprints were manually segmented using image processing software to create three-dimensional ligament footprints. The lengths, widths, and areas of each sample were measured. A certified orthopedic surgeon and a senior orthopedic fellow performed the measurements twice at 6-week intervals. The intra- and inter-rater differences in the measurements were calculated. The length, width, and area of the single-bundle fibular footprint were 8.7 mm, 5.4 mm, and 37.4 mm Measurements of the anterior talofibular ligament dimensions using three-dimensional MRI were sufficiently reliable. This measurement method provides in vivo quantitative data on ligament footprint anatomy.

Identifiants

pubmed: 39243297
doi: 10.1007/s00256-024-04778-1
pii: 10.1007/s00256-024-04778-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s), under exclusive licence to International Skeletal Society (ISS).

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Auteurs

Kenta Kono (K)

Department of Orthopaedic Surgery, Graduate School of Medical and Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba-Shi, Chiba, 260-8670, Japan.

Satoshi Yamaguchi (S)

Department of Orthopaedic Surgery, Graduate School of Medical and Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba-Shi, Chiba, 260-8670, Japan. y-satoshi@faculty.chiba-u.jp.
Graduate School of Global and Transdisciplinary Studies, Chiba University, Chiba, Japan. y-satoshi@faculty.chiba-u.jp.

Seiji Kimura (S)

Department of Orthopaedic Surgery, Graduate School of Medical and Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba-Shi, Chiba, 260-8670, Japan.

Yukio Mikami (Y)

Department of Orthopaedic Surgery, Graduate School of Medical and Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba-Shi, Chiba, 260-8670, Japan.

Kaoru Kitsukawa (K)

Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medical and Pharmaceutical Sciences, Chiba University, Chiba, Japan.

Koji Matsumoto (K)

Department of Radiology, Chiba University Hospital, Chiba, Japan.

Mutsuaki Edama (M)

Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan.

Yuki Shiko (Y)

Biostatistics Section, Chiba University Hospital Clinical Research Center, Chiba, Japan.

Manato Horii (M)

Department of Orthopaedic Surgery, Graduate School of Medical and Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba-Shi, Chiba, 260-8670, Japan.

Takahisa Sasho (T)

Department of Orthopaedic Surgery, Graduate School of Medical and Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba-Shi, Chiba, 260-8670, Japan.
Center for Preventive Medical Sciences, Chiba University, Chiba, Japan.

Seiji Ohtori (S)

Department of Orthopaedic Surgery, Graduate School of Medical and Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba-Shi, Chiba, 260-8670, Japan.

Classifications MeSH