Multimodal ultrasonographic algorithm in the differentiation of submandibular masses. (3rd June 2017)

• Record Type: Journal Article
• Authors: Knopf, Andreas; Cortolezis, Nikolaus; Bas, Murat; Mansour, Naglaa; Hofauer, Benedikt
• Is Part Of: Acta oto-laryngologica. Volume 137:Number 6(2017)
• Page Start: 640
• Page End: 645
• Publication Date: 2017-06-03
• Subjects: Submandibular masses -- ultrasound -- diagnosis -- carcinoma -- level 1; Otolaryngology -- Periodicals; Ear -- Diseases -- Periodicals; Throat -- Diseases -- Periodicals; Otolaryngology -- Electronic Resources; Otorhinolaryngologic Diseases; 617.8
• DOI: 10.1080/00016489.2016.1269363
• Languages: English
• ISSNs: 0001-6489

Abstract

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.