Objectives: The purpose of this study was to develop a simple and accurate method of classification of thesphenoid sinus using head computed tomography (CT) for disaster victim identification.
Materials and methods: Antemortem and postmortem CT (AMCT, PMCT) images of 112 cases were examined by two examiners (A and B). The sphenoid sinus was classified into seven patterns based on two parameters; number of protrusions and the position of the complete septum. The rates of each pattern, the intra-examiner coincidence rate between AMCT and PMCT, and the inter-examiner coincidence rate for AMCT and PMCT were evaluated.
Results: It was difficult to evaluate in one case with effusion in the sphenoid sinus on PMCT. We evaluated 112 AMCT and 111 PMCT. The percentage for number of protrusion(s) 1: 25.9%, 2: 51.8% (right side dominant complete septum 18.8%, left side dominant complete septum 33.0%), 3: 20.6% (right side dominant complete septum: 1.79%, left side dominant complete septum: 17.0%, center dominant complete septum: 1.79%), 4 or more: 1.79% on AMCT. Intraexaminer coincidence rates between AMCT and PMCT were 89.2% and 95.5% for examiner A and B, respectively. Inter-examiner coincidence rates between examiners were 97.3% and 98.2% for AMCT and PMCT, respectively.
Conclusion: The sphenoid sinus classification method developed in this study was a useful tool that could be utilized easily and effectively for preliminary of personal identification regardless of examiners in the cases of mass disasters.
Classification of Sphenoid Sinus Using Head Computed Tomography Images for Preliminary of Personal Identification.
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