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Objective: The differentiation between keratocystic odontogenic tumour (KCOT) and other cystic/predominantly cystic odontogenic tumours is difficult on conventional CT and MR sequences as there is overlap in the imaging characteristics of these lesions. The purpose of this study was to evaluate the role of diffusion-weighted imaging (DWI) and to assess the performance of apparent diffusion coefficients (ADCs) in the differential diagnosis of odontogenic cysts and tumours. Methods: 20 patients with odontogenic cysts and tumours of the maxillomandibular region were examined with DWI. Diffusion-weighted images were obtained with a single-shot echoplanar technique with b-values of 0, 500 and 1000 s mm 22. An ADC map was obtained at each slice position. Results: The cystic areas of ameloblastoma (n510) , which yielded 100% sensitivity and 100% specificity. Conclusion: DWI can be used to differentiate KCOT from cystic (or predominantly cystic) odontogenic tumours.

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Aim The present study was planned to investigate the etiology of maxillofacial injuries and to analyze the pattern of maxillofacial factures as well as the various factors influencing their distribution. Study design A one year cross-sectional study was done and 1,108 patients with maxillofacial fractures were analyzed consecutively from April 2010 to March 2011 who reported to the department of Oral and Maxillofacial Surgery in the Centre for Dental Education & Research and Jai Prakash Narayan Apex Trauma Centre, AIIMS, New Delhi. A performa was designed to collect the data that included age and sex distribution, etiology, influence of alcohol, type of fractures, use of restraints devices, associated injuries and treatment delivered. Results Out of 1,108 patients, 89.62 % were males with a male:female ratio of 8.63:1. The 21-30 year age group was found to be maximum (39.98 %). Road traffic accidents accounted for 49.01 %, followed by assault (22.38 %) and fall from height (21.66 %). Two wheelers were the most commonly involved vehicle. Out of 437 road traffic accident patients (excluding pedestrian, n = 106), only 52.40 % were found to be using restraints devices at the time of accident. Totally 25.45 % patients were under the influence of alcohol at the time of injury. According to anatomical distribution of fractures, mandibular fractures (33.57 %) were most prevalent, followed by maxilla (31.13 %), nasal (28.33 %) and zygoma (24.36 %). Head injuries (18.32 %) were found to be the most common associated injuries followed by lower limb fractures. Conclusion The motive behind executing this article is to analyze the various trends of facial fractures and all those factors that affect their distribution. A perfect understanding of pattern of maxillofacial fracture will assist the executors of health care in the treatment planning and management of facial injuries. Knowledge gained from the present study would influence in assessing the effectiveness of existing preventive measures and elaboration of future preventive measures and conducting new research.

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Jaw lesions in paediatric and adolescent population are uncommon and can arise in odontogenic or non-odontogenic tissues. With the advent of multidetector computed tomography (MDCT), algorithm for imaging jaw lesions has changed dramatically. This pictorial essay describes the imaging appearance of commonly encountered jaw lesions in children and adolescents with emphasis on MDCT findings.