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  2. Volume 7, Issue 11
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Online ISSN: 2515-8260

Volume7, Issue11

Application of Computed tomography in jaw lesions: A comprehensive review

    Mandeep Kaur Ramandeep Singh Punia Ramandeep Singh Brar Ravinder S Saini Mamta Malik Sanjeev Laller

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 11, Pages 5269-5275

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Abstract

Radiology is an essential aid to the diagnosis, treatment planning and monitoring of oral diseases. Advances in imaging technology have revolutionized our ability to study image and understand pathology on a macroscopic level. Digital radiology is the next step in the evolution of radiology, its features like significant reduction in radiation exposure, the ability to digitally manipulate the captured image to produce a more diagnostic image,
reduction in time between exposure and image interpretation, and digital documentation of patient’s records make it a valuable diagnostic aid in hands of a clinician. New diagnostic modalities, like computed tomography has revolutionized dental diagnosis by multi planar reconstructions and allowing virtually any view to be selected, making three dimensional imaging possible by a few clicks on the computer. Hence; we aim to summarize some of the important aspects of role of Computed tomography in jaw lesions.
Keywords:
    jaw Computed tomography radiology
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(2021). Application of Computed tomography in jaw lesions: A comprehensive review. European Journal of Molecular & Clinical Medicine, 7(11), 5269-5275.
Mandeep Kaur; Ramandeep Singh Punia; Ramandeep Singh Brar; Ravinder S Saini; Mamta Malik; Sanjeev Laller. "Application of Computed tomography in jaw lesions: A comprehensive review". European Journal of Molecular & Clinical Medicine, 7, 11, 2021, 5269-5275.
(2021). 'Application of Computed tomography in jaw lesions: A comprehensive review', European Journal of Molecular & Clinical Medicine, 7(11), pp. 5269-5275.
Application of Computed tomography in jaw lesions: A comprehensive review. European Journal of Molecular & Clinical Medicine, 2021; 7(11): 5269-5275.
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