Publications by authors named "Ali Kemal Sivrioglu"

This review article highlights the potential of integrating photon-counting computed tomography (CT) and deep learning algorithms in medical imaging to enhance diagnostic accuracy, improve image quality, and reduce radiation exposure. The use of photon-counting CT provides superior image quality, reduced radiation dose, and material decomposition capabilities, while deep learning algorithms excel in automating image analysis and improving diagnostic accuracy. The integration of these technologies can lead to enhanced material decomposition and classification, spectral image analysis, predictive modeling for individualized medicine, workflow optimization, and radiation dose management.

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Rapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology education, offering rich visual content, interactive sessions, and peer-reviewed materials. They excel in teaching intricate concepts and techniques that necessitate visual aids, such as image interpretation and procedural demonstrations.

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Artificial Intelligence is a branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. One of the branches of artificial intelligence is natural language processing, which is dedicated to studying the interaction between computers and human language. ChatGPT is a sophisticated natural language processing tool that can understand and respond to complex questions and commands in natural language.

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Many anatomical variations have been described in the menisci, especially in the lateral meniscus. Among these, discoid meniscus is the most common variation. Others are described in the literature as double-layered meniscus, accessory meniscus, ring-shaped meniscus, and hypoplastic meniscus.

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Introduction: Tibial slope angles (TSAs) have been identified as potential risk factors of anterior cruciate ligament (ACL) injury in the literature. A higher body mass index (BMI) might increase the risk of ACL tear because of greater axial compressive force. The aim of this study was to determine the relationship of these factors and the combined effect of BMI and TSA in determination of risk potential for ACL injury.

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The objective of this study was to determine the effects of body mass index (BMI), as a modifiable risk factor, on meniscal, chondral, and ligamentous injuries, as well as on bone marrow edema accompanying anterior cruciate ligament (ACL) rupture. This retrospective observational study analyzed 84 male patients who underwent primary ACL reconstruction from 2015 to 2018. Magnetic resonance imaging was performed within 6 weeks of injury.

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Objective This study was performed to evaluate the visibility of the knee's anterolateral ligament (ALL) by magnetic resonance (MR) imaging when evaluating injuries of the ALL in relation to injuries of the anterior cruciate ligament (ACL). Methods Two reviewers retrospectively analyzed MR images for the visibility and dimensions of the ALL and the relationship between ALL and ACL injuries. The intraclass correlation coefficient (ICC) and kappa analysis were used to assess interobserver reliability.

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Objective: The aim of this study was to determine the most important anatomical risk factors for injury of the anterior cruciate ligament (ACL) of the knee.

Materials And Methods: After study approval by our institutional ethics committee, 3 radiologists reinterpreted the preoperative magnetic resonance (MR) images of 86 patients who had undergone surgery for ACL rupture. The measurements were compared with those for a control group comprising 109 patients with intact ACL who had undergone MR examinations for other reasons, such as meniscal injuries or Baker cyst ruptures.

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Alveolar echinococcosis is a chronic and serious, even lethal, parasitic infection caused by the helminth Echinococcus multilocularis. The involvement of Central Nervous System is reported to be 1-3% in literature. Brain involvement is considered a sign of the terminal phase of alveolar echinococcosis.

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Purpose: We aimed to examine the incidence of patent foramen ovale (PFO) and atrial septal aneurysms (ASA) in the Turkish population using coronary computed tomography angiography (CTA); assess the feasibility of coronary CTA for PFO diagnosis by conducting a comparison with transthoracic echocardiography (TTE); and determine the diagnostic role and characteristics of the interatrial tunnel, free flap valve (FFV), and shunts.

Methods: The present study was conducted retrospectively and included a sample of 782 patients. Coronary CTA results for all patients were evaluated for the following parameters: the presence of PFO, the degree of contrast jet (if present due to PFO), ASA existence, free flap valve (FFV) length, and PFO tunnel diameters (1 and 2).

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Moyamoya disease is an idiopathic disease characterized by the progressive stenosis and collateral development of the distal internal carotid arteries. In this disease, several collateral vascular structures develop following stenosis and occlusion. The ivy sign is a characteristic Magnetic rezonance imaging (MRI) finding frequently encountered in patients with moyamoya.

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In a previous issue of the World Journal of Gastroenterology, we have read the article by Li et al with great interest. We would like to thank the authors for their comprehensive contribution. However, it is our wish to make minor criticism over the present study from the perspective of methodology.

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