Literature DB >> 23436825

Conventional MRI findings for predicting submandibular pleomorphic adenoma.

Nobuo Kashiwagi1, Takamichi Murakami2, Katsuyuki Nakanishi3, Osamu Maenishi4, Kaoru Okajima5, Hiroto Takahashi2, Mio Sakai3, Yasuhiko Tomita6, Kyoichi Terao7, Noriyuki Tomiyama8.   

Abstract

BACKGROUND: Although pleomorphic adenomas account for over 90% of all benign submandibular gland tumors, the imaging features of submandibular pleomorphic adenomas have not been reported in a large number of cases.
PURPOSE: To assess the conventional magnetic resonance imaging (MRI) findings for predicting the submandibular pleomorphic adenoma.
MATERIAL AND METHODS: MR studies of 42 pleomorphic adenomas and 28 other types of tumor were reviewed. MR images were assessed for the presence of hyperintense areas on T2-weighted images (first sign), a well-defined margin (second sign), and presence of crescent-shaped compression of the ipsilateral normal submandibular gland (third sign).
RESULTS: For identifying submandibular pleomorphic adenoma, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 97.6%, 50.0%, 74.5%, 93.3%, and 78.6% for the first sign, 95.2%, 46.4% 72.7%, 86.7%, and 75.7% for the second sign, and 23.8%, 100%, 86.7%, 46.7%, and 54.3% for the third sign, respectively. Combining the first and second findings achieved to 85.7% specificity and 90.9% accuracy.
CONCLUSION: Although non-specific, submandibular pleomorphic adenomas usually have hyperintense areas on T2-weighted images and well-defined margins. In addition, crescent-shaped compression of the ipsilateral normal gland seems to represent a highly specific sign.
© 2013 The Foundation Acta Radiologica.

Entities:  

Keywords:  Head/neck; MR imaging; salivary glands

Mesh:

Year:  2013        PMID: 23436825     DOI: 10.1177/0284185113475922

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  3 in total

1.  Prediction of malignancy of submandibular gland tumors with apparent diffusion coefficient.

Authors:  Ahmed Abdel Khalek Abdel Razek
Journal:  Oral Radiol       Date:  2017-12-29       Impact factor: 1.852

2.  Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis?

Authors:  Federica Vernuccio; Federica Arnone; Roberto Cannella; Barbara Verro; Albert Comelli; Francesco Agnello; Alessandro Stefano; Rosalia Gargano; Vito Rodolico; Giuseppe Salvaggio; Roberto Lagalla; Massimo Midiri; Antonio Lo Casto
Journal:  Br J Radiol       Date:  2021-09-30       Impact factor: 3.039

3.  The Clinical Characteristics and CT Findings of Parotid and Submandibular Gland Tumours.

Authors:  Houdong Zuo
Journal:  J Oncol       Date:  2021-07-03       Impact factor: 4.375

  3 in total

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