
Therapeutic options for shoulder joint fractures include conservative treatment or surgery, but indications for either treatment remain vague. Arthroscopic treatment of glenoid fractures and greater tuberosity fractures represents an alternative and allows anatomical reduction and reliable fixation with decreased soft tissue trauma. With this minimally invasive technique, large muscular dissections are avoided and postoperative recovery is shortened. This technique also allows a complete joint inspection and a more accurate diagnosis for associated injuries than conventional imaging methods. Arthroscopy is a useful diagnostic tool that may avoid underestimation of these associated injuries (labrum, rotator cuff tendons, cartilage) and is also helpful for treating these lesions in the same time. However, arthroscopic treatment of shoulder fractures needs a learning curve depending on surgeon's experience in shoulder arthroscopy. At present, indications for arthroscopic treatment of shoulder fractures are limited to anterior or posterior glenoid rim fractures and some greater tuberosity fractures. This selection is best made using preoperative computed tomography and especially 2D reconstruction.
Arthroscopy, Shoulder Fractures, Humans
Arthroscopy, Shoulder Fractures, Humans
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
