Cranial nerve enhancement is a common and challenging MRI finding that requires a meticulous and systematic evaluation to identify the correct diagnosis. Literature mainly describes the various pathologies with the associated clinic-radiological characteristics, while the radiologist often needs a reverse approach that starts from the radiological findings to reach the diagnosis. Therefore, our aim is to provide a new and practical pattern-based approach to cranial nerve enhancement, which starts from the radiological findings and follows pattern-driven pipelines to navigate through multiple differential diagnoses, guiding the radiologist to reach the proper diagnosis. Firstly, we reviewed the literature and identified four patterns to categorize the main pathologies presenting with cranial nerve enhancement: unilateral linear pattern, bilateral linear pattern, unilateral thickened pattern, and bilateral thickened pattern. For each pattern, we describe the underlying pathogenic origin, and the main radiological features are displayed through high-quality MRI images and illustrative panels. A suggested MRI protocol for studying cranial nerve enhancement is also provided. In conclusion, our approach for cranial nerve enhancement aims to be an easy tool immediately applicable to clinical practice for converting challenging findings into specific pathological patterns.

Extra-axial cranial nerve enhancement: a pattern-based approach / Moltoni, Giulia; Romano, Andrea; Blandino, Antonella; Palizzi, Serena; Romano, Allegra; D’Arrigo, Benedetta; Guarnera, Alessia; Dellepiane, Francesco; Frezza, Valentina; Gagliardo, Olga; TARI CAPONE, Francesca; Grossi, Andrea; Trasimeni, Guido; Bozzao, Alessandro. - In: LA RADIOLOGIA MEDICA. - ISSN 1826-6983. - (2023). [10.1007/s11547-023-01734-2]

Extra-axial cranial nerve enhancement: a pattern-based approach

Giulia Moltoni
;
Andrea Romano;Antonella Blandino;Serena Palizzi;Allegra Romano;Benedetta D’Arrigo;Alessia Guarnera;Francesco Dellepiane;Valentina Frezza;Francesca Tari Capone;Andrea Grossi;Guido Trasimeni;Alessandro Bozzao
2023

Abstract

Cranial nerve enhancement is a common and challenging MRI finding that requires a meticulous and systematic evaluation to identify the correct diagnosis. Literature mainly describes the various pathologies with the associated clinic-radiological characteristics, while the radiologist often needs a reverse approach that starts from the radiological findings to reach the diagnosis. Therefore, our aim is to provide a new and practical pattern-based approach to cranial nerve enhancement, which starts from the radiological findings and follows pattern-driven pipelines to navigate through multiple differential diagnoses, guiding the radiologist to reach the proper diagnosis. Firstly, we reviewed the literature and identified four patterns to categorize the main pathologies presenting with cranial nerve enhancement: unilateral linear pattern, bilateral linear pattern, unilateral thickened pattern, and bilateral thickened pattern. For each pattern, we describe the underlying pathogenic origin, and the main radiological features are displayed through high-quality MRI images and illustrative panels. A suggested MRI protocol for studying cranial nerve enhancement is also provided. In conclusion, our approach for cranial nerve enhancement aims to be an easy tool immediately applicable to clinical practice for converting challenging findings into specific pathological patterns.
2023
Cranial nerve enhancement; Infective diseases; Inflammatory diseases; MRI; Tumoral spread.
01 Pubblicazione su rivista::01a Articolo in rivista
Extra-axial cranial nerve enhancement: a pattern-based approach / Moltoni, Giulia; Romano, Andrea; Blandino, Antonella; Palizzi, Serena; Romano, Allegra; D’Arrigo, Benedetta; Guarnera, Alessia; Dellepiane, Francesco; Frezza, Valentina; Gagliardo, Olga; TARI CAPONE, Francesca; Grossi, Andrea; Trasimeni, Guido; Bozzao, Alessandro. - In: LA RADIOLOGIA MEDICA. - ISSN 1826-6983. - (2023). [10.1007/s11547-023-01734-2]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1697025
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