Affiliations 

  • 1 Face 3D CBCT Center, Aurangabad, Maharashtra, India
  • 2 Department of Oral Radiology, Faculty of Dentistry, SEGi University, Malaysia
  • 3 Department of Oral and Maxillofacial Surgery, MGM Medical College and Hospital, Aurangabad, Maharashtra, India
  • 4 Department of Periodontology, Faculty of Dentistry, SEGi University, Malaysia
  • 5 Department of Oral Medicine and Radiology, JSSAHER Dental College and Hospital, Mysore, Karnataka, India
  • 6 Department of Oral Pathology and Microbiology, Gian Sagar Dental College and Hospital, Rajpura, Punjab, India
Contemp Clin Dent, 2023;14(1):52-56.
PMID: 37250003 DOI: 10.4103/ccd.ccd_413_21

Abstract

BACKGROUND: Mucormycosis is a rare opportunistic fungal infection, which has a rapidly progressive and fulminant course with fatal outcome. It is the need of the hour to diagnose and treat the increasing cases urgently.

AIM: The aim of this article is to study the common radiographic features of rhinomaxillary mucormycosis (RMM), find diagnostic criteria, and grade the disease according to the radiographic features.

SETTINGS: This study was conducted at Face Three-Dimensional Cone-Beam Computed Tomography (CBCT) Center, Aurangabad, Maharashtra.

MATERIALS AND METHODS: CBCT scans of 30 patients who were referred for CBCT scanning of suspected RMM were retrospectively evaluated for relevant radiological data.

RESULTS: The most common CBCT features of RMM were osteolytic lesions in alveolar bone, palate, nose and nasal cavity, and zygoma along with involvement of paranasal sinuses. About 76.66% of patients had a history of COVID-19 infection.

CONCLUSION: According to the collected data, the scans of probable rhinomaxillary mucormycosis were graded in three groups - mild, moderate, and severe. The goal of this article is to emphasize the most overlook diagnostic entity - CBCT and its significant importance in early diagnosis, treatment, and prognosis of RMM. Early diagnosis of RMM can save the patients from the extent of morbidity and mortality.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.