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CC BY-NC-ND 4.0 · Indian J Radiol Imaging 2021; 31(01): 210-223
DOI: 10.1055/s-0041-1729767
Pictorial Essay

A Pattern-based Imaging Approach to Pediatric Jaw Lesions

Biswanath Sahu
1   Department of Radio-Diagnosis, Lady Hardinge Medical College and Associated Hospitals, New Delhi, India
,
Rama Anand
1   Department of Radio-Diagnosis, Lady Hardinge Medical College and Associated Hospitals, New Delhi, India
,
Sandeep Kumar
1   Department of Radio-Diagnosis, Lady Hardinge Medical College and Associated Hospitals, New Delhi, India
,
Ravi Shankar Solanki
1   Department of Radio-Diagnosis, Lady Hardinge Medical College and Associated Hospitals, New Delhi, India
,
Pravesh Mehra
2   Department of Dental and Oral Surgery, Lady Hardinge Medical College and Associated Hospitals, New Delhi, India
,
Manjula Jain
3   Department of Pathology, Lady Hardinge Medical College and Associated Hospitals, New Delhi, India
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Abstract

Jaw lesions in the pediatric population, although infrequently encountered in clinical practice, can cause functional impairment and cosmetic disfiguring. It is further complicated by the difficulty in diagnosis due to complex anatomy and facial developmental process during infancy and childhood. Intraosseous pediatric jaw lesions may vary from odontogenic to nonodontogenic types with nonspecific clinical features in most cases. They deserve careful attention by a systematic approach to provide a relevant diagnosis or differential diagnosis for timely management. Imaging plays a major role in diagnosis with orthopantomograph being the foremost investigation, followed by cross-sectional imaging, essentially computed tomography as a problem-solving tool. This article highlights the imaging spectrum of various jaw lesions in the pediatric population with a pattern-based approach for radiological diagnosis.

Keywords

computed tomography - jaw lesion - nonodontogenic - odontogenic - orthopantomograph - pediatric


Publication History

Article published online:
23 May 2021

© 2021. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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