Government Medical College Amritsar, India
Purpose: The aim of study was to evaluate, assess and classificy the maxillofacial fractures for surgical planning and treatment using MDCT. Method: 100 patients presenting with maxillofacial trauma were selected at random from indoor, outpatient and emergency departments of Guru Nanak Dev Hospital and Shri Guru TegBahadur Hospital, Government Medical College, Amritsar. A number of parameters, including the patient’s age, gender, and mechanism of injury, type of facial injuries, and complications were recorded and assessed. Results: A total of 100 patients were studied. Study included patients with maxillofacial trauma in age group of 1-70 years. Maxillofacial trauma was common in males accounting to 75 cases (75%), as compared to females 25 cases (25%) with male to female ratio of 3:1. The mean age of maxillofacial trauma in our series was 25yrsand the maximum age range between 21-30 years. Most injuries were caused by road traffic accident in in 67 (67%) cases followed by assault in 27 (27%) cases and fall in 12 (12%) cases. Mandible was most commonly fractured bone in 43 (43%) cases followed bynasal bone in 35 (35%) cases, maxillary bone in 32 (32%) cases, orbital bone in 26 (26%) cases, zygomatic bone fractures in 21 (21%) cases, frontal bones in 17 (17%) cases, and ethmoid bone in 12 (12%) cases. Regarding distribution of mandibular fractures, the majority of patients had fracture of body of mandible in 20 (46.57%) cases, angle of mandible in 11 (25.58%) cases and condyle of mandible 6 (13.95%) cases. The distributions of maxillary fractures were Le fort type I in 9 (25%) cases, Le fort II in 4 (11%) cases and Le fort Type III in 1 (2%) case. Conclusion: The analysis was of the various types of facial bone fractures and their characteristics with associated features in multiple ways including the adjacent vital structures damaged and other complications like intracranial injury and predicting the outcome. MDCT scan is the imaging modality of choice as three dimensional reconstruction of image can detect even unsuspected facial bone fractures and useful in planning of treatment.