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Pediatric Petrous Apex Lesions: A Radiological Classification and Diagnostic Algorithm.

Neetika GuptaShivaprakash Basavanthaiah HiremathClaudia Martinez-RiosSantanu ChakrabortyElka Miller
Published in: Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes (2022)
The petrous apex (PA) is involved in a myriad of pathological conditions, some of which are exclusive in children. Diagnosis may be difficult due to vague clinical presentation, and local examination is challenging owing to its inaccessible location. This is further complicated by multiple unfused sutures and ongoing PA pneumatization in children. Cross-sectional imaging is vital for the evaluation of the PA lesions, due to their precarious location and proximity to the major neurovascular structures. Several classification systems have been proposed for these lesions based on their site of origin, solid or cystic appearance, surgical or non-surgical (no touch lesions) management, and benign or malignant nature. In this article, we emphasize the distinctive role of different cross-sectional imaging modalities in the diagnosis of pediatric PA lesions, with special attention to normal variants that should not be mistaken for pathology. We also propose a radiological classification and algorithmic approach to aid in the precise diagnosis and facilitate appropriate management of the various PA lesions in children.
Keyphrases
  • cross sectional
  • machine learning
  • deep learning
  • high resolution
  • young adults
  • internal carotid artery
  • gene expression
  • working memory
  • dna methylation