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Severe pregnancy-associated atypical hemolytic uremia syndrome in the context of the COVID-19 pandemic: a novel survival case report.
BMC Pregnancy Childbirth
January 2025
Department of Intensive Care Medicine, Army Medical Center of PLA, No. 10 Changjiang Road, Yuzhong District, Chongqing, 400010, People's Republic of China.
Background: Pregnancy-associated atypical hemolytic uremic syndrome (aHUS) is a form of thrombotic microangiopathy (TMA) caused by uncontrolled activation of the complement system during pregnancy or the postpartum period. In the intensive care unit, aHUS must be differentiated from sepsis-related multiple organ dysfunction, thrombotic thrombocytopenic purpura (TTP), hemolysis, elevated liver enzymes, and low platelet (HELLP) syndrome. Early recognition of aHUS is critical for effective treatment and improved prognosis.
View Article and Find Full Text PDFRussell's viper bite induced cortical sinus thrombosis and diffuse alveolar haemorrhage.
BMJ Case Rep
January 2025
Emergency Medicine, All India Institute of Medical Sciences Rishikesh, Rishikesh, Uttarakhand, India.
Snakebites are critical medical emergencies that significantly contribute to emergency department visits during monsoon seasons. This case report details a patient who experienced simultaneous arterial and venous thrombosis of major intracranial vessels due to venom-induced consumptive coagulopathy. Additionally, the patient developed diffuse alveolar haemorrhage (DAH), highlighting the severe impact of these uncommon complications on prognosis.
View Article and Find Full Text PDFEvolution and Recent Radiation Therapy Advancement in Uganda: A Precedent on How to Increase Access to Quality Radiotherapy Services in Low- and Middle-Income Countries.
JCO Glob Oncol
January 2025
Uganda Cancer Institute, Department of Radiotherapy, Kampala, Uganda.
The evolution of radiation therapy in Uganda has been a journey marked by significant milestones and persistent challenges. Since the inception of radiotherapy services in 1988-1989, there has been a concerted effort to enhance cancer treatment services. The early years were characterized by foundational developments, such as the installation of the first teletherapy units, low-dose-rate brachytherapy units, and conventional simulators, and the recognition of radiation oncologists and medical physicist professionals laid the groundwork for radiotherapy treatment modalities.
View Article and Find Full Text PDFHypointense Findings on Hepatobiliary Phase MR Images.
Radiographics
February 2025
From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.).
Hepatobiliary (HB) contrast agents are increasingly valuable diagnostic tools in MRI, offering a wider range of applications as their clinical use expands. Normal hepatocytes take up HB contrast agents, which are subsequently excreted in bile. This property creates a distinct HB phase providing valuable insights into liver function and biliary anatomy.
View Article and Find Full Text PDFArtificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia.
Sci Rep
January 2025
Department of Otolaryngology Head and Neck Surgery, Technical University Munich, Munich, Germany.
Visual diagnosis is one of the key features of squamous cell carcinoma of the oral cavity (OSCC) and oropharynx (OPSCC), both subsets of head and neck squamous cell carcinoma (HNSCC) with a heterogeneous clinical appearance. Advancements in artificial intelligence led to Image recognition being introduced recently into large language models (LLMs) such as ChatGPT 4.0.
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