Publications by authors named "Ahmed Elsaiey"
Article Synopsis
- Image segmentation of the liver is crucial for liver cancer treatment planning, but manual methods are impractical due to scale, leading to a shift towards deep learning models for automation.
- This study focuses on developing a generalizable deep learning model that segments the liver in T1-weighted MR images using three architectures: nnUNet, PocketNet, and Swin UNETR, with data from six different institutions totaling 819 images.
- The results show that nnUNet and PocketNet achieved high similarity scores in liver segmentation, suggesting they can effectively perform segmentation on a diverse dataset, benefiting both intra- and inter-institutional applications.
Article Synopsis
- The study focuses on the challenges of effectively screening for hepatocellular carcinoma (HCC) in patients with cirrhosis, highlighting issues with current methods and risk assessment.
- Researchers developed a cohort study involving 203 cirrhosis patients, collecting serum samples and applying metabolomics to identify changes in metabolites related to the development of HCC.
- Key findings revealed 150 metabolites that changed significantly before HCC diagnosis, with N-acetylglycine emerging as a strong indicator for risk assessment, especially when combined with other factors like age and gender for predictive purposes.
Article Synopsis
- Image segmentation is crucial for treating liver cancer, but doing it manually on a large scale is impractical, so deep learning models are increasingly used for automation.
- This study focuses on developing a deep learning model using T1w MR images to enhance liver segmentation, evaluating three different architectures with data from 819 images across six datasets.
- The nnUNet model showed strong performance, achieving over 90% in Dice-Sorensen similarity coefficients, indicating that it can effectively segment livers even with variations in imaging techniques and disease types.
Background: The COVID-19 pandemic has led to an increase in SARS-CoV-2-test positive potential organ donors. The benefits of life-saving liver transplantation (LT) must be balanced against the potential risk of donor-derived viral transmission. Although emerging evidence suggests that the use of COVID-19-positive donor organs may be safe, granular series thoroughly evaluating safety are still needed.
View Article and Find Full Text PDFMastocytosis is a rare disorder due to the abnormal proliferation of clonal mast cells. Mast cells exist in most tissues, mature in situ from hematopoietic stem cells and develop unique characteristics of local effector cells. Mastocytosis develops by activation mutation of the KIT surface receptor which is involved in the proliferation of a number of cell lines such as mast cells, germ cells, melanocytes, and hematopoietic cells.
View Article and Find Full Text PDFhamartoma tumor syndrome/Cowden syndrome (CS) is a rare autosomal dominant syndrome containing a germline mutation that leads to the development of multisystem hamartomas and oncogenesis. Benign tumors such as Lhermitte-Duclos disease and malignant tumors involving the breast, thyroid, kidneys, and uterus are seen in CS. Radiologists have an integral role in the comanagement of CS patients.
View Article and Find Full Text PDFCompared to other direct oral anticoagulants, betrixaban has a longer half-life, smaller peak-trough variance, minimal renal clearance, and minimal hepatic Cytochrome P (CYP) metabolism. The Acute Medically Ill VTE Prevention with Extended Duration Betrixaban (APEX) trial evaluated the efficacy and safety of extended duration betrixaban compared to standard duration enoxaparin in acutely ill hospitalized patients. Areas covered: This article describes the role of betrixaban in the prevention of venous thromboembolism (VTE) in acutely ill medical patients.
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