İstanbul Galata Üniversitesi Kurumsal Akademik Arşivi
DSpace@Galata, İstanbul Galata Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Automated deep learning detection of orthodontically induced external apical root resorption in maxillary incisors on panoramic radiographs
(2026) Özden, Samet; Kula, Betül; Tankuş, Mahmut
Objectives This study aimed to develop and compare two YOLOv12-based deep learning models—object detection and pose estimation—for the automatic classification of orthodontically induced external apical root resorption (OIEARR) using panoramic radiographs. Materials and methods A total of 624 panoramic radiographs obtained from 312 patients aged 10–18 who underwent at least 12 months of fixed orthodontic treatment were retrospectively analyzed. Each maxillary central and lateral incisor was graded for OIEARR severity on a 4-point scale (Grade 0 to Grade 3) by two experienced orthodontists serving as the ground truth. Two YOLOv12-based models were trained: an object detection (OD) model for regional analysis and a pose estimation (PE) model for anatomical landmark localization. Both models were trained and validated on annotated panoramic images and evaluated using accuracy, precision, recall, specificity, F1-score, confusion matrix, and ROC-AUC. Results The PE model outperformed the OD model across all evaluation metrics, demonstrating superior performance in detecting OIEARR. Specifically, the PE model achieved a weighted F1-score of 0.88, compared to 0.60 for the OD model. It also showed higher accuracy (0.93 vs. 0.78), precision (0.88 vs. 0.64), and recall (0.88 vs. 0.59), confirming its robustness in root resorption classification. Particularly in Grade 1 and Grade 2 resorption categories, the PE model demonstrated markedly superior classification performance (F1=0.85 and 0.88, respectively), while maintaining excellent detection in Grade 3 cases (F1=0.95). Confusion matrix analysis revealed that most misclassifications occurred between neighboring grades. ROC-AUC values for the PE model were consistently high (0.90–0.99), indicating strong discriminative ability across all resorption stages. Conclusions The YOLOv12x PE model offers a reliable and sensitive tool for detecting varying degrees of root resorption on panoramic radiographs. Its fine-grained anatomical localization capabilities provide an advantage for early diagnosis, making it a promising approach for clinical decision support in orthodontics.
Does knee joint proprioception differ according to age and gender in healthy adults?
(2026) Kürklü, Galip Bilen; Yapalı, Gökmen; Arslan, Serdar; Çankaya, Musa
Background: This study aimed to investigate the effects of age and gender on knee joint position sense (KJPS) and movement sense (KJMS) in healthy adults. Methods: General physical activity was evaluated using the International Physical Activity Questionnaire-Short Form (IPAQ-Sf) and the Tegner Activity Scale (TAS). Knee discomfort was measured with the Lysholm Knee Score (LKS), and knee-related symptoms and functional status were assessed using the Knee Osteoarthritis Outcome Score (KOOS). Knee joint position sense (KJPS) was tested at 15°, 30°, 45°, and 60°, while knee joint movement sense (KJMS) was evaluated at 60° and 90°. Participants were categorized by gender (male, female) and age (18-29, 30-44, ≥ 45 years). Mixed-effects models were applied to analyze numerical data, and post hoc comparisons were conducted using least-squares means with Tukey's correction when appropriate. Results: The mean scores were KOOS = 96.41 ± 4.79, LKS = 96.41 ± 6.94, and IPAQ-Sf = 1772.02 ± 1332.10. Absolute errors for KJPS angles ranged from 2.58 to 3.42 between genders. KJMS at 60°-90° was measured between 1.82 and 1.95 s in males, and between 1.66 and 1.80 s in females. Significant differences in KJMS (60°-90°) were observed across age groups (F = 14.841, p < 0.001) and position-sense angles (F = 19.645, p < 0.001). Conclusion: KJPS assessment revealed significant differences in absolute errors by age and gender. Males demonstrated lower errors, while participants aged ≥ 45 years exhibited greater deviations than younger groups. No gender differences were identified in KJMS. Overall, proprioception declined significantly in the 45+ age group.
CD44 Targeting of Cisplatin-Loaded Hyaluronic Acid-Modified Mesoporous Silica Nanoparticles for Lung Adenocarcinoma: Synthesis, Characterization, In Vitro and In Vivo Evaluation
(2026) Güler, Cem; Gelen, S. Sacide; Şancı, Ebru; Buhur, Aylin; Tıkır, H. Ece; Nalbantsoy, Ayşe; Güner, Adem; Medine, E. İlker; Yavaşoğlu, Altuğ; Odacı, Dilek; Yavaşoğlu, N. Ülkü Karabay
Background/Objectives: Cisplatin (CDDP) is widely used in the treatment of non-small cell lung cancer (NSCLC); however, its clinical efficacy is limited by severe systemic toxicity. Hyaluronic acid (HA) modification enables the targeting of CD44-overexpressing cancer cells, enhances biocompatibility, provides controlled drug release, and prolongs systemic circulation. This study aimed to develop high-molecular-weight hyaluronic acid-modified, cisplatin-loaded mesoporous silica nanoparticles (HA-MSN-CDDP) to selectively target CD44- overexpressing lung adenocarcinoma cells. Methods: HA-MSN-CDDP nanoparticles were synthesized via the sol–gel method and characterized by FTIR, DLS, SEM, and TEM methods. Antitumor efficacy was evaluated using both in vitro and in vivo xenograft lung cancer models in mice. Results: HA modification enabled controlled and sustained release of cisplatin from the HA-MSN-CDDP drug delivery system. Through HA-mediated receptor-dependent endocytosis, the nanoparticles exhibited enhanced cellular uptake and selective cytotoxicity toward CD44-positive cells. HA-MSN-CDDP significantly reduced the cytotoxic, genotoxic, and oxidative stress effects of free cisplatin on healthy cells while markedly enhancing apoptosis in A549-Luc-C8 cells. The system showed excellent hemocompatibility, supporting its potential for intravenous use. In vivo, HA-MSN-CDDP effectively suppressed tumor growth, mitigated lipid peroxidation, and preserved antioxidant enzyme activities (SOD and CAT) in major organs. Histological analyses confirmed reduced cisplatin-induced nephrotoxicity. Conclusions: HA-MSN-CDDP demonstrates strong potential as a targeted chemotherapeutic platform for NSCLC, combining high antitumor efficacy with reduced systemic toxicity
A Comparative Analysis of Initiatives Aimed at Enhancing Digital Health Literacy (DHL) on a Global Scale
(2025) Kolca, Dilek
This study aims to provide a comprehensive review of educational campaigns and projects designed to enhance DHL. The study was conducted as a systematic review. It comparatively evaluated the objectives, educational strategies, and outcomes of educational programs and projects related to DHL. Data were collected through literature searches in databases such as Scopus, PubMed, and Google Scholar. DHL projects and educational programs have significantly improved individuals’ access to and management of health information. These initiatives have not only enhanced individual health literacy but have also played a critical role in improving overall public health. The primary focus of DHL projects and educational programs is to increase the accessibility of digital tools and strengthen technological infrastructure. This focus aims to ensure sustainability and create long-term positive effects on public health literacy. The global dissemination of such initiatives could contribute to the sustainable development of public health.
Sağlık Turizmi Perspektifinden Türkiye Ve Hindistan’ın Sağlık Politikaları Ve Sosyal Güvence Sistemlerinin SWOT Analizi
(2026) Kolca, Dilek
Sağlık turizmi, dünya genelinde ekonomik kalkınmayı destekleyen stratejik sektörlerden biri haline gelmiştir. Türkiye ve Hindistan, son yıllarda geliştirdikleri politikalar ve sundukları hizmet çeşitliliği ile sağlık turizmi pazarında öne çıkan iki önemli aktör hâline gelmiştir. Her iki ülke de uygun maliyetli hizmetleri, nitelikli sağlık personeli ve turistik cazibesi ile uluslararası hastaların ilgisini çekmektedir. Ancak bu ülkelerin sağlık turizmine yönelik politika yaklaşımları ve sosyal güvence sistemleri, bazı yönleri ile farklılık göstermektedir. Bu çalışma, Türkiye ve Hindistan’ın sağlık turizmi politikaları ile sosyal güvence sistemlerini SWOT analizi yöntemiyle karşılaştırmalı olarak değerlendirmeyi amaçlamaktadır. Analiz sonucunda, Türkiye'nin kurumsal ve merkezi yapısı, gelişmiş sosyal güvence sistemi ve coğrafi avantajı güçlü yönlerini oluşturmaktadır. Ancak ülkede ikamet eden yabancı hastaların sosyal güvence kapsamına doğrudan dâhil edilememesi, bu seçimin kişilerin inisiyatifine bulunması Genel Sağlık Sigorta (GSS) sistemin kapsayıcı ve zorunluluk ilkelerine ters düşmektedir. Öte yandan, Hindistan’ın uygun maliyetli sağlık hizmetleri, geleneksel tıp uygulamaları ve medikal vize kolaylıkları sağlık turizminin gelişimine katkı sağlamaktadır. Hindistan’ın sosyal güvence sisteminin parçalı yapısı ve hizmet eşitsizlikleri ise önemli zayıf yönleri olarak öne çıkmaktadır. Her iki ülke açısından fırsatlar arasında dijital sağlık hizmetlerinin yaygınlaştırılması, uluslararası iş birlikleri ve alternatif tıp uygulamalarının küresel pazara entegrasyonu yer alırken, tehditler arasında hizmet kalitesi, sağlıkta yerli halkın erişim sorunları ve uluslararası rekabet dikkat çekmektedir. Çalışma, sağlık turizmi politikalarının sürdürülebilirliği için sosyal güvence sistemlerinin daha kapsayıcı ve eşitlikçi şekilde yapılandırılmasını önermektedir.
