Multimodal ultrasonographic algorithm in the differentiation of submandibular masses

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.

Keywords:

• Submandibular masses
• ultrasound
• diagnosis
• carcinoma
• level 1

Disclosure statement

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.