Multimodal ultrasonographic algorithm in the differentiation of submandibular masses.

Multimodal ultrasonographic algorithm in the differentiation of submandibular masses.

Acta Otolaryngol. 2017 Jan 13;:1-9

Authors: Knopf A, Cortolezis N, Bas M, Mansour N, Hofauer B

Abstract
CONCLUSION: The multimodal diagnostic algorithm is a simple diagnostic tool in the pre-operative assessment of submandibular masses that enables one-stage surgical concepts.
BACKGROUND: The pre-operative assessment of submandibular masses is of major clinical impact. This study assesses the diagnostic utility of a newly introduced diagnostic algorithm in the differentiation of submandibular masses based on epidemiological and B-mode ultrasonographic data.
METHODS: One hundred and eighty-eight patients with submandibular triangle masses were included. Epidemiological and ultrasonographic data of 128 consecutively included patients were assessed and structured in a multimodal algorithm. The diagnostic algorithm was prospectively validated in a further 60 patients.
RESULTS: Single epidemiological and ultrasonographic data do not reliably predict the lesional entity. The multimodal diagnostic algorithm achieved a diagnostic sensitivity/specificity of 100%/100% in sialolithiasis, 44%/100% in benign submandibular gland diseases (BSD), 94%/96% in nodal lymphoma/unspecific lymphadenitis, and 91%/84% in carcinomas. Reduced sensitivity in BSD or specificity in carcinomas increased after intra-operative fresh frozen section in patients suspected for BSD.

PMID: 28084145 [PubMed - as supplied by publisher]

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