Application Value of 3D-SPACE Sequence Based on Compressed Sensing in the Diagnosis of Acromioclavicular Joint Injury
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Department of Radiology,the First Affiliated Hospital of Nanjing Medical University

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R445.2

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    Abstract:

    o assess the value of SPACE sequence combined with compressed sensing technique in the diagnosis of acromioclavicular joint injury. Methods: 34 patients with a history of shoulder trauma and suspected acromioclavicular joint injury were prospectively included. Conventional 2D magnetic resonance sequence and 3D CS-SPACE sequence scanning based on compressed sensing were performed on the patients. Signal SI and standard deviation SD of long head tendon of biceps and bone marrow cavity of humerus were measured on two sets of images, and SNR and CNR were calculated. Three doctors assessed the injuries of the acromioclavicular joint through two sets of images and gave their diagnostic confidence rating. The SNR, CNR of bone marrow cavity and biceps long tendonand and diagnostic confidence ratings were compared between the two groups. The diagnostic consistency of the three doctors in conventional 2D images and CS-SPACE images was analyzed respectively, and the diagnostic consistency between the two sets of images was evaluated. Results: In the objective evaluation of image quality, SNR and CNR of CS-SPACE image were obviously better than that of conventional 2D image. For the two groups of images, two doctors' ratings of CS-SPACE images were significantly higher than those of conventional 2D images, and one doctor's ratings had no significant difference; The three doctors demonstrated a strong agreement in the evaluation of acromioclavicular joint injury on both conventional 2D images and CS-SPACE images (k>0.6), and there was a high consistency in the evaluation of acromioclavicular joint injury between the two groups of images (k>0.6). Conclusion: For the diagnosis of acromioclavicular joint injury, CS-SPACE sequence images has high consistency with conventional 2D images, and CS-SPACE sequence can shorten the scanning time and obtain better image quality.

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History
  • Received:May 08,2024
  • Revised:June 14,2024
  • Adopted:August 19,2024
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