Semi-Automatic MRI Segmentation for Assessing Cartilage Volume Changes After Ankle Distraction Arthroplasty Using the Ilizarov Frame for Ankle Osteoarthritis

Objectives: This study investigates the effectiveness of ankle distraction arthroplasty (ADA) using the Ilizarov frame in treating end-stage ankle osteoarthritis (OA) by evaluating changes in cartilage volume through semi-automatic MRI segmentation. Methods: The study involved 42 end-stage post-traumatic ankle OA patients from 2021 to 2023. Magnetic resonance imaging (MRI) scans were conducted before surgery and 12 months post-treatment. Changes in cartilage volume of the talus and tibia were measured using semi-automatic segmentation methods. statistical significance was assessed using the non-parametric Wilcoxon signed-rank test. Results: Out of 42 patients, 10 completed the study with MRI scans of sufficient quality. Significant increases in cartilage volume were observed: talus cartilage increased by 247.48 mm3 (P = 0.019) and tibia cartilage by 272.65 mm3 (P = 0.012). These results suggest a regenerative effect on cartilage tissue following ADA. Conclusion: The findings demonstrate that ADA using the Ilizarov frame is effective in increasing cartilage volume in patients with end-stage ankle OA. Semi-automatic MRI segmentation is a reliable method for monitoring these changes. Further research with larger sample sizes is necessary to validate these findings and assess long-term outcomes. © 2025 Published by Sultan Qaboos University Sultan Qaboos University Medical Journal.

Издательство
Sultan Qaboos University
Номер выпуска
1
Язык
English
Страницы
904-911
Статус
Published
Том
25
Год
2025
Организации
  • 1 Department of Orthopaedics and Traumatology, RUDN University, Moscow, Moscow Oblast, Russian Federation
  • 2 City Clinical Hospital named after V.V. Vinogradov, Moscow, Moscow, Russian Federation
  • 3 Zhukovsky Regional Clinical Hospital, Moscow, Russian Federation
  • 4 City Clinical Hospital named after Akademika G. M. Savel’yevoy, Moscow, Moscow, Russian Federation
Ключевые слова
Ankle; Articular Cartilage; Computer-Assisted Image Processing; Ilizarov Method; Osteoarthritis
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