Ho-ho-ho! Gather ’round, my merry friends, for I have a tale that’s quite the medical marvel, as jolly as finding the perfect Christmas tree in a snow-covered forest. This yuletide yarn is about a study, as magical as my sleigh, that took place from July 2022 to June 2023, where patients with anterior shoulder dislocation—naughty shoulders popping out of place—were the stars of the show.

These patients, all grown-ups over 18, were part of a list, checked twice, to see who had both an MRI and a CT scan within one week. The MRI included a special sequence called FRACTURE, as festive as twinkling lights, but for bones, not trees.

Now, two independent observers, as diligent as my elves, used Mimics 21.0 software to create 3D reconstructions from these scans. They were looking for bone defects, measuring the glenoid defect, the percentage of glenoid defect, the glenoid track, and the Hill-Sachs Interval, determining if they were “on-track” or “off-track” like a misaligned toy train.

For all 56 patients, including those with and without bone defects, they measured the shoulder’s nooks and crannies: glenoid width and height, humeral head fitting sphere radius, and other parameters that sound as complex as the formula for my secret gingerbread recipe.

Using the paired t-test, like checking who’s naughty or nice, they found no significant difference between 3D-CT and 3D-MRI measurements. The Bland-Altman plots, as harmonious as carolers, showed excellent consistency, and the ICCs revealed agreement as strong as reindeer teamwork.

The only hitch in the sleigh ride was that 3D-MRI took longer than 3D-CT, like waiting for Christmas morning. But in the end, the study concluded that 3D-MRI (FRACTURE) is as good as 3D-CT for checking bone loss in shoulder dislocation and measuring shoulder morphological parameters. It’s a Christmas miracle for the medical world, indeed! 🎅🎄