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Intraosseous vascular lesions of the maxillofacial region are rare, and the differential diagnosis of intraosseous vascular malformations from other jaw lesions can be challenging. In the present case, magnetic resonance imaging and three-dimensional computed tomographic angiography (CTA) was used for diagnosis, and the lesion was treated wih surgical excision. Diverse characteristics such as the "honeycomb" and "sunburst" radiographic appearances and the absence of major peripheral feeder vessels in the CTA were noted. Intraosseous vascular malformations have a varied radiographic appearance, and the nomenclature of these lesions is equally diverse, with several overlapping terms. Pathologists do not generally differentiate among intraosseous vascular lesions on the basis of histopathology, although these lesions may present with contrasting immunohistochemical and clinical behaviors requiring varied treatment strategies. This case report highlights the need for multiple imaging modalities to differentiate among vascular lesions, as well as to better understand the behaviors of these unique lesions.

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After reviewing the latest CT scans of 23 mostly low grade glioma patients who survived more than 10 years after treatment, it was suggested that loss of the original tumour bulk and frequently the presence of porencephalic cavity replacing the original tumour, with a smooth lining which is not contrast-enhanced is essential to assume a clinical "cure" in the case of intrinsic cerebral gliomas. In the case of gliomas growing within the ventricle or subarachnoid space, tissue with calcium deposit but without contrast-enhancement was noted, although the number of cases was limited.

Aim of the study was to evaluate mandibular indices on a panoramic radiograph. A number of mandibular cortical indices, including the mandibular cortical index (MCI), mandibular cortical width (MCW) and panoramic mandibular index (PMI), AI (Antegonial index)was evaluated on Panoramic radiograph. Correlation between the indices were also done in our study and we found that PMI with MI and MI with AI were highly significant and showed similar results whereas MCI was non significamt with the other indices.