Sublingual epidermoid cyst presenting with distinctive magnetic resonance imaging findings

  • Naohiro Yoshida | naoyoshida@jichi.ac.jp Department of Otolaryngology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
  • Kozue Kodama Department of Otolaryngology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
  • Yukiko Iino Department of Otolaryngology, Jichi Medical University Saitama Medical Center, Saitama, Japan.

Abstract

A case of sublingual epidermoid cyst presenting distinctive magnetic resonance imaging (MRI) findings is described. A 39-year-old man presented to our hospital with a three months progressive left submandibular swelling, difficulty moving his tongue, and snoring. Preoperative evaluation with MRI and fine needle aspiration cytology (FNAC) revealed that the heterogeneous cystic lesion contained the squamous cells, which is compatible with ectodermal tissue. The mass was located above the mylohyoid muscle and spread to the pharyngeal space. By considering the size, infection history, patient age, and location, the cyst was completely resected under general anesthesia via cervical approach without any complication. Histopathologically, the cyst wall was lined by stratified squamous epithelium with no skin appendage, suggesting an epidermoid cyst. Ultrasound (US), MRI and FNAC were very useful of the preoperative diagnosis for oral and sublingual lesion. The postoperative course was uneventful and without recurrence after 24 months. This case showed that epidermoid cysts formed the rarely heterogeneous cystic tumor and it underlined usefulness of preoperative diagnosis, such as US, MRI and FNAC for oral and sublingual tumor.

Downloads

Download data is not yet available.
Published
2014-08-21
Section
Case Reports
Keywords:
epidermoid cyst, sublingual, oral floor, magnetic resonance imaging.
Statistics
Abstract views: 792

PDF: 351
HTML: 697
Share it

PlumX Metrics

PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

How to Cite
Yoshida, N., Kodama, K., & Iino, Y. (2014). Sublingual epidermoid cyst presenting with distinctive magnetic resonance imaging findings. Clinics and Practice, 4(2). https://doi.org/10.4081/cp.2014.664