Hamza H Mirza, Faheem Ahmed, Murtaza Rahber, Zahoor A Rana
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引用次数: 0
Abstract
Study design: A prospective randomized comparative study was conducted to evaluate the postsurgical scar with Supraorbital Eyebrow (SE) Approach and Upper Blepharoplasty (UB) Approach used for open reduction and internal fixation (ORIF) of zygomaticomaxillary complex (ZMC) fractures.
Objective: To evaluate and compare the post-operative scar using Vancouver Scar Scale (VSS) following ORIF of ZMC fractures with SE and UB approaches.
Methods: In this study, 88 patients with ZMC fractures requiring ORIF and meeting the inclusion criteria were recruited between 2019 and 2020. Patients were randomly divided into SE and UB group, 44 patients in each. Clinical and radiological assessment was done preoperatively and post-operative scar evaluation was carried out at different intervals over a period of 6 months using VSS. A blinded observer rated the scar.
Results: The results showed that after 6 months of surgery, all the 44 (100%) patients in UB group had a mild scar (VSS score 1-5), while in the SE group 34 (77.3%) patients had a mild scar (VSS score 1-5) and 10 (22.7%) had a moderate scar (VSS score 6-10). The difference between the 2 groups was statistically significant (P-value = .001).
Conclusions: The UB approach has been established to be superior to SE approach in terms of post-operative scar as the results were statistically significant. This study can be used to advocate more frequent use of UB approach as compared to the previously popular SE approach for the management of ZMC fractures.
期刊介绍:
Neural Processing Letters is an international journal publishing research results and innovative ideas on all aspects of artificial neural networks. Coverage includes theoretical developments, biological models, new formal modes, learning, applications, software and hardware developments, and prospective researches.
The journal promotes fast exchange of information in the community of neural network researchers and users. The resurgence of interest in the field of artificial neural networks since the beginning of the 1980s is coupled to tremendous research activity in specialized or multidisciplinary groups. Research, however, is not possible without good communication between people and the exchange of information, especially in a field covering such different areas; fast communication is also a key aspect, and this is the reason for Neural Processing Letters