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  • ArticleYayıncıda açık erişim2024
    Therapeutic Effect of Thrombolytic Therapy on Motor Function Loss After Ischaemic Stroke: A Case Study

    Akcay, Guven; Karakoç, Esra; Çamur, Sena; Aktaş, Filiz

    Stroke is a serious cerebrovascular disease that can cause disability and death if not treated with appropriate treatment methods at the right time. In ischaemic stroke, recombinant tissue plasminogen activator (rt-PA) treatment is effective in motor deficit recovery, especially in the first 4.5 hours. In this case study, rt-PA thrombolytic treatment of patients with motor deficit after acute ischaemic stroke aged 58 and 79 years was found to improve the loss of motor function.

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  • ArticleYayıncıda açık erişim2024
    Deep Convolutional Neural Network Model for the Differential Diagnosis of Schizophrenia Using EEG Signals

    Tuncer, Seda Arslan; Yildiz, Sevler; Demirdöğen, Filiz; Akkus, Mustafa; Danacı, Çağla

    Objective: One of the serious mental disorders in which people interpret reality in an abnormal situation is schizophrenia. A combination of extremely disordered thoughts, delusions, and hallucinations occurs due to schizophrenia, and the person's daily functions are seriously impaired due to this disease. For general cognitive activity analysis, electroencephalography signals are widely used as a low-resolution diagnostic tool. This study aimed to diagnose schizophrenia using the transfer learning method by including the EEGs of 73 patients diagnosed with schizophrenia, and 67 patients from the healthy group. Material and Method: In the first step of the study, digital electroencephalography signal data was converted into spectrograms to make them usable. In the classification phase, ResNet18, ResNet50 and EfficientNet models, which are FastAI, and Convolutional Neural Network (CNN) based deep learning models, were used. Results: Despite the complexity of electroencephalography data, CNN-based models in the study were successful in capturing different aspects of neurophysiological activity. The best performance was obtained from the ResNet-50 model with an accuracy rate of 97%. Afterwards, the classification process was finalized with 95% ResNet-18, and 83% EfficientNet models, respectively. Conclusion: It is thought that the classification performance of the result obtained in the application is promising, and may be a guide for future studies.

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  • ArticleYayıncıda açık erişim2024
    Pneumomediastinum Mistaken as Angioedema: Case Report

    Kantar, Yusuf

    Pneumomediastinum and massive subcutaneous emphysema are clinical conditions that can occur during head and neck surgeries, bronchoscopy and tracheostomy, after thoracic trauma, rarely during dental procedures and sometimes spontaneously. Patients often present with symptoms such as swelling of the face, neck and sometimes the whole body, difficulty swallowing, shortness of breath, chest pain and skin crepitus. These findings usually develop suddenly and sometimes may occur within hours or days. A 48-year-old man is applies to the hospital with complaint chest pain due to a fall in the garden. If no pathology is thought to be present as a result of the X-ray, the patient is prescribed ibuprofen for pain relief and discharged. Patient who presents with what appears to be angioedema after taking ibuprofen is found to have pneumomediastinum. In the cases mentioned in the report and initially thought to be angioedema, seeing that the lips are not swollen and feeling subcutaneous crepitation, i.e. even just inspecting and palpating the patient, will distract the clinician from angioedema in a few seconds and direct him/her to the correct diagnosis and perform examinations in the direction of pneumomediastinum.

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creativeworkseries.issn2687-4717
dc.date.accessioned2026-10-20T15:44:51.118901064Z
dc.date.available2026-10-20T15:44:51.118901064Z
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/25324
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleHitit medical journal (Online)
dspace.entity.typeJournal