Results 171 to 180 of about 2,608,517 (407)
Right inferior phrenic artery to right pulmonary artery fistula causing hemothorax: A case report
Inferior phrenic artery to pulmonary artery fistulae are a rare anomaly seen on CT thorax angiogram when evaluating for certain pulmonary pathological conditions.
Anthony D'Angelo, MS+3 more
doaj +1 more source
This study showed that the pancreaticogastrostomy technique in HPD of biliary tract cancer reduced the incidence of pancreatic fistula from 45% to 12%. In‐hospital mortality was also reduced from 27% to 3%. ABSTRACT Background and Purpose Although hepatopancreaticoduodenectomy (HPD) is effective for margin‐negative curative resection of biliary tract ...
Ryusei Matsuyama+9 more
wiley +1 more source
ABSTRACT Although living‐donor liver transplantation (LDLT) has become the standard treatment for end‐stage liver disease, one of its major challenges is small‐for‐size syndrome (SFSS). SFSS is characterized by severe icterus and intractable ascites, although the severity of the condition can vary.
Toru Ikegami+6 more
wiley +1 more source
Diagnosis and treatment of hereditary hemorrhagic telangiectasia in a pediatric patient with chronic cyanosis. [PDF]
Background: Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant disorder of vascular dysplasias that is characterized by mucocutaneous telangiectasias, gastrointestinal tract bleeding, and arteriovenous malformations (AVMs) of the ...
Johnson, B. V., Johnston, Thomas
core
Pulmonary Artery Catheters for Adult Patients in Intensive Care.
Adam S. Cooper
semanticscholar +1 more source
Right-Sided Congestive Heart Failure in Dogs Produced by Controlled Progressive Constriction of the Pulmonary Artery [PDF]
James O. Davis+3 more
openalex +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang+6 more
wiley +1 more source