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Kannabis kullanımının retina sinir lifi tabakası (RSLT) ve maküler ganglion hücre-iç pleksiform tabaka (MGH-İPT) üzerine olan yapısal etkilerinin optik koherens tomografi ile değerlendirilmesi amaçlanmıştır. Yöntem: Bu prospektif, karşılaştırmalı çalışmaya Muş Devlet Hastanesi Psikiyatri Polikliniği'ne başvuran ve kannabis kullanımı mevcut olan 26 kişi ile bu kişilerle yaş ve cinsiyet açısından uyumlu 27 sağlıklı gönüllü dâhil edilmiştir. Her iki gruba optik koherens tomografi (OKT) çekimi uygulanmıştır. OKT cihazı tarafından otomatik olarak ölçülen RSLT ve MGH-İPT kalınlıkları kaydedilerek her iki grup arasında karşılaştırılmıştır. Bulgular: Her iki grup arasında sosyodemografik veriler açısından anlamlı bir fark saptanmadı. Ortalama retina sinir lifi kalınlığı ile süperior, nazal ve inferior kadranlarda iki grup arasındaki fark istatistiksel olarak anlamlı değilken temporal kadranda istatistiksel olarak anlamlı fark saptanmıştır (p=0,022). Maküler ganglion hücre-iç pleksiform tabaka kalınlıklarının analizinde ise her iki grup arasında ortalama, inferotemporal, inferior, inferonasal ve süperonazal kadranlarda anlamlı bir fark saptanmazken süperior ve süperotemporal kadranlarda istatistiksel olarak anlamlı incelme saptanmıştır (p=0,006; p=0,027). Sonuç: Bu bulgular kannabis kullanımının retina tabakaları üzerinde incelmeye yol açtığını desteklemektedir. Beynin kolayca izlenebilir parçası olması bakımından retina sinir lifi ve ganglion hücre tabakasının OKT ile değerlendirilmesi kannabis kullananlarda toksik ve dejeneratif etkinin takibi açısından önemli olabilir.

Objectives: To analyze the effect of macular choroidal thickness (MCT) and peripapillary choroidal thickness (PPCT) on the classification of obese and healthy children by comparing the performance of the random forest (RF), support vector machine (SVM), and multilayer perceptrons (MLP) algorithms. Materials and Methods: Fifty-nine obese children and 35 healthy children aged 6 to 15 years were studied in this prospective comparative study using optical coherence tomography. MCT and PPCT were measured at distances of 500 μm, 1,000 μm, and 1,500 μm from the fovea and optic disc. Three different feature selection algorithms were used to determine the most prominent features of all extracted features. The classification efficiency of the extracted features was analyzed using the RF, SVM, and MLP algorithms, demonstrating their efficacy for distinguishing obese from healthy children. The precision and reliability of measurements were assessed using kappa analysis. Results: The correlation feature selection algorithm produced the most successful classification results among the different feature selection methods. The most prominent features for distinguishing the obese and healthy groups from each other were PPCT temporal 500 μm, PPCT temporal 1,500 μm, PPCT nasal 1,500 μm, PPCT inferior 1,500 μm, and subfoveal MCT. The classification rates for the RF, SVM, and MLP algorithms were 98.6%, 96.8%, and 89%, respectively. Conclusion: Obesity has an effect on the choroidal thicknesses of children, particularly in the subfoveal region and the outer semi-circle at 1,500 μm from the optic disc head. Both the RF and SVM algorithms are effective and accurate at classifying obese and healthy children.

Objective:The aim of this study is to analyze all the variables obtained from photoscreener using hierarchical cluster analysis to create more homogeneous age groups for more reliable and consistent measurement by photoscreener. Methods: The variables obtained from photoscreener examination of consecutive children who attended the ophthalmology department were evaluated. Medical records of the children were evaluated to ontain data including refractive parameters, deviation angle, pupil diameter variables and the calculated spherical equivalent, the cylindrical power vector J0, J45 values. These variables were analyzed by the multivariate cluster analysis. Results: Based on a dendrogram, 4 main clusters of similar quality variables were created. The calculated spherical equivalent decreased gradually from cluster I to IV, from 0.745 D to -0.235 D. The average pupil size in the Ist cluster was 5.06 mm, while in the IVth cluster, it was 6.38 mm. The proposed new age borders are distinct and statistically significant (P < .001). The ultimate proposed new age borders were found as 1-20, 21-64, 65-101, and 102-120 months, respectively. Conclusions: We proposed new age borders for the evaluation of refraction and pupil size of children which create new groups with a statistically different and homogeneous distribution. The proposed new age borders in this research would provide more reliable and consistent measurement results for clinical diagnosis.

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