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Research using computer technology (AI) to better understand nose structure to improve surgical safety.

APPLICATION FOR CLASSIFICATION OF OLFACTORY FOSSA DEPTH IN CT IMAGING BASED ON KERO S CLASSIFICATION USING ARTIFICIAL INTELLIGENCE - nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/03/106800
Enrollment
1200
Registered
2026-03-24
Start date
Unknown
Completion date
Unknown
Last updated
2026-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Intervention1: Nil: Nil

Sponsors

Dr Nivashini G R
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Adult patients with CT Paranasal Sinus (PNS) coronal scans that allow for visualization of the anterior skull base structures including cribriform plate and lateral lamella of ethmoid bone adequate for measurement of olfactory fossa depth. Images must have been acquired and reconstructed using routine institutional protocol and be available in Digital Imaging and Communications in Medicine (DICOM) format for analysis.

Exclusion criteria

Exclusion criteria: History of prior sinonasal/skull base surgery, facial trauma involving ethmoid bone or anterior skull base, Congenital anomalies involving ethmoid bone, Sinonasal tumors, severe polyposis, sinonasal infections/distortions that deform normal anatomy of the olfactory fossa, CT images with motion artefacts or poor image quality, Poor visualization of cribriform plate or lateral lamella of ethmoid bone on CT scan.

Design outcomes

Primary

MeasureTime frame
Sensitivity, specificity, and overall accuracy of the AI-based model in classifying olfactory fossa depth into Kero s Types I, II, and III compared to radiologist assessment (gold standard). Timepoint: outcome will be assessed at 8 weeks.

Secondary

MeasureTime frame
nilTimepoint: nil

Countries

India

Contacts

Public ContactNivashini G R

Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS)

drpaarthipan@gmail.com9444043330

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Apr 4, 2026