The multiplanar analysis of the retromandibular vein in surgical planning for parotid gland tumors View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-06

AUTHORS

Arturo Mario Poletti, Sara Imparato, Giulia Carlotta Signorelli, Giovanni Cugini, Giovanni Colombo

ABSTRACT

OBJECTIVE: To analyze the effectiveness of the multiplanar analysis of the retromandibular vein in establishing the position of the parotid gland tumor and its relationship with the facial nerve, together with the most common radiological criteria (facial nerve line, Utrecht line, retromandibular vein and parapharyngeal space variations) using the magnetic resonance imaging. STUDY DESIGN: Retrospective study SETTING: Tertiary Academic Hospital SUBJECTS AND METHODS: 128 preoperative magnetic resonances were analyzed to study preoperative tumor location (medial or lateral to the expected course of the facial nerve) based on comparison between the radiological criteria and the surgical findings. RESULTS: FN line had the lowest accuracy at 77%, whereas the retromandibular vein achieved 85% accuracy and the UT line achieved accuracy of 93%. The retromandibular vein could not be identified in 11 cases (9%). The multiplanar evaluation of the retromandibular vein allowed us to identify it on almost all MR images (99% of cases) and reach 87% of accuracy. The parapharyngeal space evaluation achieved 92% of accuracy. In the subgroup of 66 cases where the neoplasms were strictly related to the main trunk, where the surgery entailed manipulation if situated laterally to the tumor, the multiplanar evaluation of the retromandibular vein reached 98% of accuracy and UT line achieved 94%. CONCLUSIONS: The multiplanar modality, combined with the evaluation of the parapharyngeal space, is effective in helping the surgeon to achieve accurate planning: it enables the tumor to be located and the facial nerve course predicted with a good precision. More... »

PAGES

1587-1593

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00405-018-4953-0

DOI

http://dx.doi.org/10.1007/s00405-018-4953-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101785761

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29589143


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