Regenerative endodontic treatment (RET) is a biologically based approach aiming to restore the pulp–dentin complex in immature permanent teeth with necrotic pulps. In this procedure, a blood clot is induced within the canal to serve as a scaffold supporting stem cell migration, and its stability and regenerative success are closely linked to dentin surface morphology. This study focused exclusively on the quantitative assessment of surface roughness, without evaluating biological outcomes such as cellular response or long-term clot stability, and aimed to evaluate the effects of 17
Purpose To assess the spectrum of calcification patterns in uterine fibroids using computed tomography (CT) and identify their associations with lesion size, anatomical location, and margin characteristics in a Turkish population. Methods In this retrospective observational study, 140 women aged ≥ 30 years with CT-confirmed calcified uterine fibroids were examined at a tertiary care hospital between January 2020 and December 2025. A non-probability consecutive sampling method was used. The CT images were independently assessed by two experienced radiologists who categorized the fibroids based on size, anatomical location (submucosal, intramural, subserosal, and transmural), lesion margin (well-defined, lobulated, and irregular), and calcification pattern. Calcification patterns were divided into non-coarse (punctate and amorphous) and coarse (peripheral, dense, and popcorn) patterns. Categorical variables were analyzed using the Chi-square and Fisher's exact tests, while continuous variables were evaluated using the Kruskal–Wallis test. Multivariate logistic regression analysis was conducted to determine the independent predictors of coarse calcifications. Statistical significance was set at p < 0.05. Results Amorphous calcifications accounted for 27.2% and peripheral calcifications for 23.8%, making them the most common patterns observed. There was a notable link between the pattern of calcification and its anatomical location (χ²=14.97, p = 0.002; Fisher's exact, p = 0.001). Coarse calcifications were predominantly found in intramural (45.6%) and transmural (10.3%) fibroids, whereas non-coarse patterns were more frequently observed in subserosal and submucosal areas. The size of the lesions varied significantly with different calcification patterns (H = 11.02, p = 0.026), with larger fibroids showing a tendency towards coarser calcification. No significant correlation was found between patient age and the calcification pattern (p = 0.401). In multivariate logistic regression, lesion size was identified as an independent predictor of coarse calcification (OR = 1.54, 95% CI: 1.06–2.22, P = 0.022). Lesions with irregular margins had lower odds of coarse calcification than those with well-defined margins (OR = 0.14, 95% CI: 0.03–0.69, P = 0.015). Conclusion The calcification patterns observed in uterine fibroids are significantly influenced by lesion size and anatomical location. Computed tomography (CT) imaging provides an effective means of characterizing these patterns, potentially aiding clinical decision-making. Notably, larger intramural fibroids are more prone to coarse calcific degeneration.
Background Aeroallergen sensitization is influenced by local environmental and climatic conditions, resulting in considerable geographic variation in allergic respiratory diseases. Understanding regional sensitization patterns is essential for guiding diagnosis, allergen avoidance, and allergen immunotherapy. However, contemporary data from the humid Black Sea coastal region of Türkiye are limited. This study aimed to describe aeroallergen sensitization patterns in adults with allergic rhinitis (AR) and asthma and to explore their relationship with clinical phenotype and asthma severity. Methods This retrospective cross-sectional study included 754 adults diagnosed with AR and/or asthma who underwent skin prick testing at a tertiary allergy clinic between January 2023 and October 2024. Sensitization profiles were analysed according to demographic characteristics, disease phenotype, and asthma severity. Multivariable multinomial logistic regression analysis was performed to evaluate the association between major aeroallergen sensitization groups and asthma severity, with mild asthma as the reference category and adjustment for age and sex. Results Overall, 377 patients (50.0%) were sensitized to at least one aeroallergen, and 53.8% of sensitized individuals showed polysensitization. Among the 377 sensitized patients, pollen was the most common allergen group (60.5%), followed by house dust mites (50.9%), animal dander (44.6%), molds (24.9%), latex (21.0%), and cockroach (18.3%). Among individual allergens, Dermatophagoides pteronyssinus (35.3%) and Dermatophagoides farinae (28.6%) were the predominant sensitizers. Cockroach sensitization was significantly more frequent in patients with concomitant AR and asthma than in those with isolated AR. In contrast, sensitization to house dust mites was more common in patients with mild asthma than in those with severe disease (71.4% vs. 37.2%, p = 0.02). In multivariable multinomial logistic regression analysis adjusted for age and sex, severe asthma was associated with lower odds of HDMS sensitization than mild asthma (OR 0.29, 95% CI 0.11–0.81; p = 0.02). Conclusions Adults with allergic respiratory disease living in the Black Sea coastal region of Türkiye demonstrate a distinct aeroallergen sensitization profile characterised by frequent house dust mites sensitization, extensive pollen co-sensitization, and a high prevalence of polysensitization. The observed association between house dust mites sensitization and milder asthma highlights the heterogeneity of asthma phenotypes in routine clinical practice. These findings support the development of region-specific diagnostic allergen panels and may help guide more individualized approaches to allergy diagnosis and management.
Background Vestibular dysfunction often transcends simple postural instability, affecting higher-order cognitive processes such as spatial navigation and working memory. Objective This study aims to compare the effectiveness of vestibular-spatial working memory rehabilitation in patients with vestibular neuritis (VN) and recurrent vestibulopathy (RV). Material and Methods A total of 40 patients diagnosed with VN (n = 20) and RV (n = 20) were included. Participants underwent a vestibular-spatial working memory rehabilitation program consisting of 16 sessions (48 minutes each, once a week). Assessment was performed using Computerized Dynamic Posturography (CDP) Sensory Organization Test (SOT) and Limits of Stability (LOS) test. Results Statistically significant improvements were observed in pre-test and post-test comparisons of SOT and LOS in both groups (p < 0.05). Improvements in global, visual, and vestibular parameters support both the motor and cognitive efficacy of the rehabilitation. Conclusion Vestibular spatial working memory rehabilitation provided significant improvement in both balance and cognitive functions in patients with VN and RV. These findings demonstrate the clinical efficacy of combined rehabilitation approaches.
Pnömokonyoz, özellikle inorganik tozlara mesleki maruziyet sonucu gelişen, önlenebilir ancak geri dönüşümsüz özellikte seyreden kronik bir akciğer hastalığıdır. Pnömokonyoz tanısı mesleki maruziyet öyküsü, klinik değerlendirme ve radyolojik bulgulara dayanarak konulmakta, patolojik doğrulama nadiren gerekmektedir. Günümüzde, erken tanı ve risk tahmini amacıyla veri temelli yaklaşımlar giderek daha fazla önem kazanmaktadır. Amaç: Pnömokonyoz tanısını öngörmeye yönelik olarak klinik ve mesleki verilere dayalı makine öğrenmesi tabanlı modeller geliştirmek ve bu modellerin sınıflandırma performanslarını karşılaştırmaktır. Yöntem: Çalışma kapsamında yaş, sektörde çalışma yılı, sigara kullanımı, radyolojik görüntüleme sonuçları ve önceki hastalık öyküsü gibi çeşitli değişkenlerin yer aldığı veri seti kullanılmıştır. Lojistik regresyon ve rastgele orman (RF) algoritmaları ile sınıflandırma modelleri kurulmuş ve performansları ROC eğrisi altındaki alan (AUC), duyarlılık, özgüllük ve F1 skoru gibi metriklerle değerlendirilmiştir. Bulgular: Elde edilen sonuçlara göre, rastgele orman modeli %77,7 test doğruluğu, 0,868 AUC ve 0,816 F1 skoru ile daha yüksek performans sergilemiştir. Lojistik regresyon modeli ise %75 doğruluk, 0,811 AUC ve 0,80 F1 skoru ile daha düşük ancak yorumlanabilirliği yüksek sonuçlar üretmiştir. Değişken önem katsayılarına göre HRCT bulguları, yaş ve sektörel çalışma süresi, sigara paket yıl, silika dâhil toz, dispne, öksürük, cinsiyet, balgam değişkenleri hastalığın öngörülmesinde en etkili belirteçler olarak öne çıkmıştır. Sonuç: Makine öğrenmesi algoritmaları, Pnömokonyoz gibi mesleki akciğer hastalıklarının erken tanısı ve risk değerlendirmesi için alternatif araçlar sunmakta; özellikle rastgele orman modeli sınıflandırma açısından yüksek başarı göstermektedir.
