Publications by authors named "A H Zibis"
Article Synopsis
- - The study investigates the presence of O-linked N-acetylglucosamine (O-GlcNAcH) in endocervical tissues, highlighting its different expression levels in normal and diseased cells, particularly in polyps.
- - Results show that O-GlcNAcH is weakly expressed in most mucosa but more commonly found in polyps, with specific cell types like non-mucin-secreting reserve cells displaying strong staining.
- - The findings suggest that O-GlcNAcH levels can serve as a useful marker to distinguish between certain cell types in cervical tissues, indicating its potential role in assessing inflammation or pathology.
Purpose: In recent years, the field of medical imaging has witnessed remarkable advancements, with innovative technologies which revolutionized the visualization and analysis of the human spine. Among the groundbreaking developments in medical imaging, Generative Adversarial Networks (GANs) have emerged as a transformative tool, offering unprecedented possibilities in enhancing spinal imaging techniques and diagnostic outcomes. This review paper aims to provide a comprehensive overview of the use of GANs in spinal imaging, and to emphasize their potential to improve the diagnosis and treatment of spine-related disorders.
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- A deep learning methodology was developed to differentiate between early and late stages of avascular necrosis of the hip (AVN) using three trained convolutional neural networks (CNNs), with the goal of aiding treatment decisions.
- The CNNs were tested on MRI examinations from a cohort of 104 AVN patients, and their performance was compared to expert radiologists using metrics like AUC, precision, and recall.
- Results showed that the CNN ensemble performed well, achieving high accuracy in distinguishing AVN stages and demonstrating performance comparable to experienced radiologists, highlighting the potential of deep learning in clinical settings.
Groin pain is a common symptom in athletes. The complex anatomy of the area and the various terms used to describe the etiology behind groin pain have led to a confusing nomenclature. To solve this problem, three consensus statements have been already published in the literature: the Manchester Position Statement in 2014, the Doha agreement in 2015, and the Italian Consensus in 2016.
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- The increasing use of imaging for managing hip pain has led to the discovery of various hip geometries and anatomical variants, particularly in the acetabulum, proximal femur, and surrounding tissues.
- Individual differences in the morphology of the hip joint, including the bony pelvis and soft tissue, can significantly affect imaging appearances.
- Understanding these variations is crucial for recognizing their clinical relevance and minimizing unnecessary diagnoses or procedures in patient care.