2021•Annals of the Academy of Medicine SingaporeOpen access

A maxillary sinus mass

Kelvin Yong Jie Lim, Siu Cheng Loke, Jian Li Tan, Ming Yann Lim

Open full text 0 citations

Abstract

A 55-year-old Chinese woman presented to the ear, nose and throat clinic with a 6-month history of left-sided blood-stained mucus. It was dark brown with no epistaxis. There was no mucopus, nasal obstruction, facial pain or fever. She denies any history of hypertension, trauma, head and neck cancer, anticoagulation use or previous irradiation. Physical examination

Open-access reader

About this research paper

What this paper is about

A 55-year-old Chinese woman presented to the ear, nose and throat clinic with a 6-month history of left-sided blood-stained mucus. It was dark brown with no epistaxis. There was no mucopus, nasal obstruction, facial pain or fever. She denies any history of hypertension, trauma, head and neck cancer, anticoagulation use or previous irradiation. Physical examination

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A 55-year-old Chinese woman presented to the ear, nose and throat clinic with a 6-month history of left-sided blood-stained mucus. It was dark brown with no epistaxis. There was no mucopus, nasal obstruction, facial pain or fever. She denies any history of hypertension, trauma, head and neck cancer, anticoagulation use or previous irradiation. Physical examination

Key concepts: Medicine, Maxillary sinus, Dentistry, Orthodontics

Related papers

Back to paper searchBrowse research topicsOriginal source
A maxillary sinus mass — Research Paper | ScholarLens