@article{article_1663570, title={INVESTIGATION OF THE RELATIONSHIP BETWEEN SEPTORHINOPLASTY AND FACIAL RECOGNITION SYSTEMS}, journal={Journal of Istanbul Faculty of Medicine}, volume={88}, pages={270–279}, year={2025}, DOI={10.26650/IUITFD.1663570}, author={Türe, Nurullah and Subaşı, Buğra and Akyol, Serel and Güngör, Emre and Aksoy, Cemal}, keywords={Yüz tanıma teknolojisi, septorinoplasti, biyometrik tanımlama, rinoplasti, derin öğrenme}, abstract={Objectives: To investigate the temporal verification performance of the facial recognition systems after septorhinoplasty. Material and Method: The study population included male and female patients who underwent septorhinoplasty at our institution between January 2022 and December 2023. Pre and postoperative photographs were taken at 1, 2, and 4 weeks using the same camera, under the same distance, and under the same lighting conditions. In this techniqueagnostic study, the analysis focused on the overall effect of the procedure rather than the impact of specific surgical manoeuvres. The change over time (preoperative, postoperative weeks 1, 2, 4) was compared based on the mean distance values in the face recognition systems. Results: The evaluation was conducted on 119 patients, comprising 75 females and 44 males with a mean age of 26.9±7.34 years (range, 1856 years). When the accuracy rates of the face recognition systems were evaluated, the highest performance rate was obtained with the Euclidean metric for the VGGFace system (94.85%). Among the face extraction methods, the RetinaFace (99.40%) and Mtcnn (99.19%) methods had the highest accuracy rates with the Euclid ean metric in the VGGFace face recognition system. There was a significant correlation between the mean distance value (0.378) in the preoperativepostoperative 2nd week evaluation (02) and the mean distance value (0.279) in the 2nd−4th week evaluation (r=0.747, p=0.004). Conclusions: The alteration of facial components and appearance following septorhinoplasty remains a challenge for postoperative biometric verification using current facial recognition technologies. Rhinologists should be aware of the relationship between septorhinoplasty and facial recognition systems.}, number={4}, publisher={İstanbul Üniversitesi}