Different Maxillary Sinus 3D Shapes Assessment Using CBCT Volumetric Segmentation

Cairo University (CU)

Status: Not yet enrolling

Conditions: Anatomical Variations; Cone-beam Computed Tomography; Maxillary Sinus

Treatments: Radiation: cone beam computed tomography

Study type: Observational

Funder types: Other

Identifiers

NCT05922410

ORAD 7 - 1 - 1

Details and patient eligibility

About

the study aims to assist the different 3D shapes of maxillary sinus in adult individuals among Egyptian population,The data collection will be obtained from the data base available at the department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Cairo University. CBCT images will be obtained from Egyptian patients who were referred to the CBCT unit in oral and maxillofacial radiology department for different purposes. The following radiographic examination will be done in Oral and Maxillofacial Radiology Department, Faculty Dentistry, Cairo University. semiautomated segmentation will be performed for the maxillary sinus in both side and then linear and 3D volume will be assessed for each sinus.

Enrollment: 29 estimated patients

Sex: All

Ages: 20 to 50 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• CBCT scans of adult Egyptian patients, males and females, with age range between 18 and 50 years old. Patients will be divided into two age groups (group 1 less than or equal 30 years old, group2 more than 30 years old).
• CBCT scans of patient without previous orthodontic treatment.
• CBCT scans without any other treatment that might interfere with the natural course of maxillomandibular growth and development.

Exclusion criteria

-Scans with maxillary pathologies like (tumors, odontogenic lesions, bone lesions).

• Patients with traumatic injuries or fractures affecting the maxillary sinus.
• Patients with missing upper premolar or molar teeth in one side or both sides.
• Patients with skeletal asymmetries, craniofacial traumas and developmental anomalies such as palatal cleft.
• Images of low-resolution quality.
• Distortion of images or presence of any artifacts.