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    The Effects of Using Bioglue in Nasal Septal Surgery
    (Sage Publications Inc, 2021) Subasi, Bugra; Guclu, Ender
    Objectives: Nasal septal surgery is one of the most common surgical procedure performed by otolaryngologists. Nasal packs are used for bleeding control, prevention of septal hematoma, replacement of mucoperichondrial flaps, and stabilization of the septum after nasal septal surgery. The aim of this study was to investigate the effects of albumin-glutaraldehyde-based tissue adhesive (Bioglue), which can be used as an alternative to nasal pack on the nasal septum after experimental nasal septum surgery. Methods: A total of 16 female Wistar albino rats were randomly separated into the study group (n = 10) and the control group (n = 6). After raising the mucoperichondrial flap on one side of the septum, Bioglue was used to fix the mucoperichondrial flap over the septal cartilage in the study group and nasal packs (Merocel) were used for fixation in the control group. The rats were sacrificed at 2 and 4 weeks after septoplasty. All the tissue samples were evaluated under light microscope by the same pathologist in respect of foreign-body reaction, degree of inflammation, granulation tissue, fibrosis, cartilage damage, and cilia and goblet cell damage. In the control group, the Merocel packs were removed after 2 days and the groups were compared in terms of hematoma. Results: No hematoma was observed in any group. Septal perforation was determined in all the study group participants and loss of cilia and goblet cells and foreign-body reaction were found in 8 samples of the study group participants and in none of the control group. Conclusions: The results of this study show that Bioglue caused segmental cartilage injury; therefore, it may not suitable for use following septal surgery.
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    INVESTIGATION OF THE RELATIONSHIP BETWEEN SEPTORHINOPLASTY AND FACIAL RECOGNITION SYSTEMS
    (Istanbul Univ, Fac Medicine, Publ Off, 2025) Ture, Nurullah; Subasi, Bugra; Akyol, Serel; Gungor, Emre; Aksoy, Cemal
    Objectives: To investigate the temporal verification performance of the facial recognition systems after septorhinoplasty. Materialand 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 technique-agnostic 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, 18-56 years). When the accuracy rates of the face recognition systems were evaluated, the highest performance rate was obtained with the Euclidean metric for the VGG-Face system (94.85%). Among the face extraction methods, the RetinaFace (99.40%) and Mtcnn (99.19%) methods had the highest accuracy rates with the Euclidean metric in the VGG-Face face recognition system. There was a significant correlation between the mean distance value (0.378) in the preoperative-postoperative 2ndweek evaluation (0-2) 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 technolo gies. Rhinologists should be aware of the relationship between septorhinoplasty and facial recognition systems.
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    Multidimensional Morphology of the Ethmoid Roof and Anterior Ethmoidal Artery: A CT-Based Analysis and Proposal of the Akcan Classification
    (Mdpi, 2025) Belada, Abdullah; Akcan, Fatih Alper; Guclu, Derya; Guclu, Ender; Unlu, Ilhan; Subasi, Bugra; Sungur, Mehmet Ali
    Background/Objectives: Anatomical variation in the ethmoid roof and lateral lamella play an important role in anatomical vulnerability during endoscopic sinus and skull base surgery. However, widely used classifications, including the Keros system, primarily focus on vertical depth and may not fully reflect the complex geometric relationship between the ethmoid roof, lateral lamella, and the anterior ethmoidal artery (AEA). This study aimed to characterize ethmoid roof and lateral lamella anatomy using high-resolution CT and to propose a descriptive radiological framework-the Akcan Classification-that integrates AEA exit patterns with multiple morphometric parameters. Given the complexity of thin skull base structures, interobserver reproducibility of all morphometric parameters was additionally assessed to ensure measurement robustness. Methods: High-resolution paranasal sinus CT scans from 175 adults (350 sides) were retrospectively evaluated. Measurements included ethmoid roof width, lateral lamella depth, anterior-posterior length, lamellar angle, AEA-lamella distance, and sinonasal anatomical variations. Interobserver reliability was quantified using ICCs. AEA morphology was categorized as in-canal (Type 1), partially suspended (Type 2), or fully suspended (Type 3) based on radiological appearance of bony canalization. Appropriate statistical tests were used to compare morphometric features across groups. Results: Suspended AEA configurations demonstrated progressively wider ethmoid roofs, deeper lateral lamellae, steeper lamellar inclination, and shorter AEA-lamella distances (all p < 0.001). Supraorbital ethmoid cells were more frequently observed in Type 3 cases (p < 0.001). Other anatomical variations showed no significant association with ethmoid roof morphology. Interobserver reliability was excellent for all measurements (ICC range 0.87-0.94). Conclusions: The findings suggest that AEA configuration is associated with broader patterns of ethmoid roof and lateral lamella morphology. Rather than serving as a validated predictor of surgical outcomes, the Akcan Classification provides a structured anatomical and radiological descriptor that complements depth-based systems such as the Keros classification. The high reproducibility of measurements supports its potential utility for standardized anatomical assessment and preoperative radiological interpretation, while further studies incorporating surgical correlation are required.