@article{oai:niigata-u.repo.nii.ac.jp:00033788,
 author = {Malkanthi, Appu Gammahelage Chandani and TAKAHASHI, Naoya and FUSE, Tomoya and OHSAWA, Amon and TAKATSUKA, Hisakazu and HIGUCHI, Takeshi},
 issue = {1},
 journal = {新潟大学保健学雑誌, Journal of Health of NiigataUniversity},
 month = {Mar},
 note = {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.},
 pages = {1--6},
 title = {Classification of Sphenoid Sinus Using Head Computed Tomography Images for Preliminary of Personal Identification.},
 volume = {17},
 year = {2020}
}