Results 11 to 20 of about 129,482 (378)
Cancer Medicine, 2022 Background & aims Immune checkpoint inhibitors (ICIs) play an increasingly important role in the treatment of primary liver cancer (PLC). Some patients with PLC experience symptoms of splenomegaly.
Lu‐Shan Xiao +9 more
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Splenomegaly in Children and Adolescents
Frontiers in Pediatrics, 2021 In contrast to other lymphoid tissues making up the immune system, the spleen as its biggest organ is directly linked into the blood circulation. Beside its main task to filter out microorganism, proteins, and overaged or pathologically altered blood ...
Meinolf Suttorp +2 more
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Splenomegaly impacts prognosis in essential thrombocythemia and polycythemia vera: A single center study [PDF]
Hematology Reports, 2019 Splenomegaly is one of the major clinical manifestations of primary myelofibrosis and is common also in other chronic Philadelphia-negative myeloproliferative neoplasms, causing symptoms and signs and affecting quality of life of patients diagnosed with ...
Accurso V. +8 more
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Investigation and Analysis of Iron-Deficiency Anemia Complicated by Splenomegaly
International Journal of General Medicine, 2021 Yan-hui Wei,1 Yu-zhuo He,2 Xiao-yan Guo,1 Xiao-yan Lin,2 Hong-bin Zhu,2 Xue-jun Guo2 1Department of Graduate School, Xinxiang Medical University, Xinxiang, Henan Province, 453003, People’s Republic of China; 2Department of Hematology, Puyang Oilfield ...
Wei Y, He Y, Guo X, Lin X, Zhu H, Guo X
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Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks [PDF]
arXiv, 2018 The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen disease. Automated segmentation methods are essential to efficiently quantify splenomegaly from clinically acquired abdominal magnetic resonance imaging (MRI) scans. However, the task is challenging due to (1) large anatomical and
Yuankai Huo +10 more
arxiv +3 more sources
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks [PDF]
arXiv, 2017 Spleen volume estimation using automated image segmentation technique may be used to detect splenomegaly (abnormally enlarged spleen) on Magnetic Resonance Imaging (MRI) scans. In recent years, Deep Convolutional Neural Networks (DCNN) segmentation methods have demonstrated advantages for abdominal organ segmentation.
Yuankai Huo +9 more
arxiv +3 more sources
Predicting the probability of Gaucher disease in subjects with splenomegaly and thrombocytopenia
Scientific Reports, 2021 Hematologists are frequently involved in the diagnostic pathway of Gaucher disease type 1 (GD1) patients since they present several hematological signs. However, GD1 is mainly underdiagnosed because of a lack of awareness.
I. Motta +35 more
semanticscholar +1 more source
Frontiers in Pediatrics, 2022 Background: Infectious mononucleosis caused by Epstein-Barr Virus infection is a common acute infectious disease in children. About 40–80% of children with infectious mononucleosis have hepatic injury, and hepatic failure is one of the main causes of ...
Chao Zhang +4 more
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Indian Journal of Community Medicine, 2021 Background and Objectives: To determine whether the persistence of splenomegaly characteristic of the Asian haplotype of homozygous sickle cell (SS) disease is associated with continued splenic function, a comparison of patients from Odisha, India, and ...
Beryl Serjeant +2 more
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Frontiers in Surgery, 2022 A fistula that connects the bowel to other organs, such as the urinary bladder or small intestine, is a relatively frequent complication, often associated with inflammatory diseases such as diverticulitis, Crohn's disease, colorectal cancer, or lymphoma.
Tonia Luca +7 more
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