CTRI/2021/04/032922Not yet recruiting未知
ARTIFICIAL NEURAL NETWORK AS A PREDICTIVE TOOL FOR GENDER DETERMINATION USING THE VOLUMETRIC AND LINEAR MEASUREMENTS OF MAXILLARY SINUS CBCT
Priyadharshini0 sites0 target enrollmentStarted: TBDLast updated:
Trial Snapshot
- Phase
- 未知
- Status
- Not yet recruiting
- Sponsor
Study Overview
Brief Summary
No summary available.
Study Design
- Study Type
- Observational
Eligibility Criteria
Inclusion Criteria
- •The CBCT images of patients who have visited the dental radiology centres in the age group of 20 â?? 70 years
Exclusion Criteria
- •1.Patients with large craniofacial asymmetries involving the maxillary sinus.
- •2.Patients with absence of any posterior teeth in the maxilla.
- •3.Patients with history of paranasal sinus surgery.
- •4.Patients with history of maxillofacial trauma involving the maxillary sinus.
- •5.Patients with history of pathological processes in the maxillary sinuses, such as chronic sinusitis or mucus retention phenomenon, odontogenic cysts.
- •6.CBCT images or artefacts impairing the complete visualization of the maxillary sinuses and the maxillary dental arch.
- •7.Scans that were not covering the entire extent of the sinus.
- •8.Patients who are not willing to take part in the study.
Investigators
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