Health Condition 1: J010- Acute maxillary sinusitis Health Condition 2: J988- Other specified respiratory disorders
Conditions
Interventions
Intervention1: Nil: Nil
Intervention2: Nil: Nil
Intervention3: Nil: Nil
Intervention4: Intervention:
Artificial intelligence based image analysis of CT paranasal sinuses: Comparator:
Radiologist asses
Sponsors
Saveetha Institute of Medical and Technical Sciences
Eligibility
Inclusion criteria
Inclusion criteria: Adult patients aged 18 years and above undergoing CT paranasal sinus imaging for sinonasal symptoms or preoperative evaluation. Patients with complete CT datasets acquired on 128 slice CT scanner and who provide informed consent will be included.
Exclusion criteria
Exclusion criteria: Patients with prior nasal or sinus surgery. Patients with sinonasal tumors. Patients with congenital craniofacial anomalies. CT studies with poor image quality or motion artifacts. Patients who do not provide consent.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Diagnostic accuracy of the artificial intelligence model for detection of deviated nasal septum and concha bullosa on CT paranasal sinus imaging measured by sensitivity specificity and area under the receiver operating characteristic curve compared with expert radiologist reference standardTimepoint: At the time of CT image acquisition and analysis for each participant during the study period | — |
Secondary
| Measure | Time frame |
|---|---|
| Specificity positive predictive value negative predictive value and overall accuracy of the artificial intelligence modelTimepoint: At time of CT image analysis during study period | — |
Countries
India
Contacts
Public ContactKarunakaram Sriram
Saveetha Medical College and Hospital, SIMATS
Outcome results
None listed