[COMPUTED TOMOGRAPHIC EXAMINATION OF CRANIAL LESIONS, A PALEORADIOLOGICAL APPROACH]

Autor: Péter, Zádori, Gábor, Bajzik, Gergely, Biró, Zsuzsanna, Lelovics, Timea, Balassa, Zsolt, Bernert, Sándor, Evinger, Hajdu Tamás, Antónia, Marcsik, Erika, Molnar, Brigitta, Osz, György, Pálfi, Katalin, Wolff, Imre, Repa
Rok vydání: 2016
Předmět:
Zdroj: Ideggyogyaszati szemle. 69(3-4)
ISSN: 0019-1442
Popis: Introducing the multidisciplinary paleoradiology research at the Institute of Diagnostic Imaging and Radiation Oncology of the Kaposvár University, highlighting the cases with potential central nervous system involvement--from the scanning methods to the 3D printing--in order to draw attention to the historical background and clinical aspects of certain pathological conditions.The authors developed the examination protocols for three different CT scanners. Among the examined archaeological remains cranial lesions were identified in 26 cases, from which 4 cases with potential central nervous system involvement are demonstrated. The scanning parameters and the advantages of secondary image reconstructions (multiplanar reconstruction, maximum intensity projection, three-dimensional volume rendering technique) are presented with the cases.The authors demonstrate a case with destructive skull lesions due to syphilis from the 15th century AD, a condition rarely seen or even unknown nowadays in the modern world. With the CT images of the skull base fracture from the Iron Age, signs of healing could be verified. Using the CT images a non-invasive approach is presented in the case of the craniofacial osteosarcoma in order to visualize the local status and the direct intracranial propagation. Advantages of the 3D VRT reconstructions are shown in the case of unilateral coronal suture synostosis.Paleoradiological CT examinations serve as a non-invasive, non-destructive tool for studying archaeological remains and artifacts. The special applications provided by the imaging modality contribute to the conventional paleopathological investigations.
Databáze: OpenAIRE