Publications by authors named "Franck Dordain"

Article Synopsis
  • This study assesses how bony lesions affect shoulder dislocation recurrence among patients under 50 years old.
  • A total of 92 participants were followed for about two years, revealing that 24% experienced recurrence, with 39% showing glenoid lesions and 95% humeral lesions.
  • Results indicate that the only strong predictor of recurrence is being younger than 20, with no significant difference in recovery outcomes depending on the presence of bony lesions.
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Introduction: Inter-observer arthroscopic assessments of the Long head of the Biceps tendon (LHB) injuries, in the absence of predefined instructions, are poorly reproducible. There are several types of LHB injuries, of varying severity, which can make its intraoperative analysis subjective.

Hypothesis: The application of a precise arthroscopic exploration protocol, particularly dynamic, associated with an equally precise analysis of the possible tendon lesions, intrinsic or extrinsic, makes it possible to obtain a reproducible analysis of the lesions of the LHB and aid decision-making around its conservation or its resection, in distal supraspinatus tendon ruptures.

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Introduction: The area encompassing the long head of the biceps (LHB) can be represented as a rectangular parallelepiped. This geometric view can be likened to a box, the "biceps box", where the sides are the extrinsic structures and the LHB is the intrinsic structure. Since these structures are mobile in relation to each other, a dynamic "biceps box" model can modify assessments of the LHB, in its healthy or pathological state, and make the therapeutic approach to treating LHB lesions less arbitrary.

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Article Synopsis
  • Injuries to the long head of biceps (LHB) tendon are common yet challenging to diagnose, with current methods relying on arthroscopy which lacks proven reliability.
  • The study aimed to analyze the agreement levels among different observers when evaluating LHB conditions using a unique set of standardized images, while also creating a video database for training AI.
  • Results indicated moderate to strong agreement among observers, suggesting that standardized images can effectively serve as a foundation for developing AI tools in accurately diagnosing LHB injuries.
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