Results 101 to 110 of about 468,320 (355)

Coronary Artery Diameter is Inversely Associated with the Severity of Coronary Lesions in Patients Undergoing Coronary Angiography

Cellular Physiology and Biochemistry, 2017
Background: The diameters of the coronary arteries have been suggested to be a potential predictor of coronary artery disease (CAD). However, whether the diameters of the coronary arteries are associated with the coronary lesion severity on angiography ...
Fang-Fang Zhou, Yun-hai Liu, Peng-Cheng Ge, Zhao-Hong Chen, Xiao-Qing Ding, Jie-Yin Liu, Qiao-Wei Jia, Feng-Hui An, Li-Hua Li, Lian-Sheng Wang, Wen-Zhu Ma, Zhi-Jian Yang, En-Zhi Jia   +12 more
doaj   +1 more source

A fast and accurate method for automatic coronary arterial tree extraction in angiograms [PDF]

, 2014
Coronary arterial tree extraction in angiograms is an essential component of each cardiac image processing system. Once physicians decide to check up coronary arteries from x-ray angiograms, extraction must be done precisely, fast, automatically and ...
Dimon, Mohd Zamrin, Kadiman, Suhaini, Khalid, Fatimah, Mazaheri, Samaneh, O. K. Rahmat, Rahmita Wirza, Sulaiman, Puteri Suhaiza, Tayebi, Rohollah Moosavi   +6 more
core   +1 more source

Recent Advances in Variable‐Stiffness Robotic Systems Enabled by Phase‐Change Materials

Advanced Robotics Research, EarlyView.
Phase‐change materials (PCMs), such as shape memory alloys, hydrogels, shape memory polymers, liquid crystal elastomers, and low‐melting‐point alloys, are driving advancements in stiffness‐tunable robotic systems across a wide range of applications. This review highlights recent progress in PCM‐enabled robotics, focusing on their underlying mechanisms,
Sukrit Gaira, Liao Wu, Ming Li, Priyank Kumar, Xiaopeng Li, Shi‐Yang Tang   +5 more
wiley   +1 more source

Image-based Quantification of 3D Morphology for Bifurcations in the Left Coronary Artery: Application to Stent Design [PDF]

, 2016
Background Improved strategies for stent‐based treatment of coronary artery disease at bifurcations require a greater understanding of artery morphology.
Ellwein, Laura M., Foley, Dennis, LaDisa, John F., Jr., Marks, David S., Migrino, Raymond Q., Sherman, Sara   +5 more
core   +1 more source

Non‐Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath

Advanced Sensor Research, EarlyView.
The use of sensor technologies for the diagnosis of hypertrophic cardiomyopathy (HCM) by identification of volatile organic compounds (VOCs) in breath samples. By combining gas chromatography‐mass spectrometry (GC‐MS) and electronic nose (eNose) platforms, specific VOC patterns associated with HCM are detected and analyzed.
Yael Hershkovitz‐Pollak, Manhal Habib, Yoav Y. Broza, Olga Katz, Harry Rakowski, Hossam Haick   +5 more
wiley   +1 more source

Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier

, 2018
Coronary artery centerline extraction in cardiac CT angiography (CCTA) images is a prerequisite for evaluation of stenoses and atherosclerotic plaque. We propose an algorithm that extracts coronary artery centerlines in CCTA using a convolutional neural ...
Išgum, Ivana, Leiner, Tim, van Hamersvelt, Robbert W., Viergever, Max A., Wolterink, Jelmer M.   +4 more
core   +1 more source

Reduction of radiation dose for coronary computed tomography angiography using prospective electrocardiography-triggered high-pitch acquisition in clinical routine [PDF]

, 2018
Purpose: To evaluate the image quality, radiation exposure, and means of application in a group of patients who underwent coronary computed tomography angiography (CCTA) performed with low-dose prospective electrocardiography (ECG)-triggered acquisition ...
Chaosuwannakit, Narumol, Makarawate, Pattarapong   +1 more
core   +1 more source

Rewiring Neuroimmunity: Nanoplatform Innovations for CNS Disease Therapy

Advanced Therapeutics, EarlyView.
This review explores emerging nanoplatform strategies designed to modulate neuroimmune responses for treating central nervous system (CNS) disorders. It examines structural and microenvironmental barriers, advances in multifunctional and targeted nanotechnologies, and highlights clinical progress and translational challenges, offering insights into the
Muhammad Usman Akbar, Weiwei Guo, Xin Shen, Yimeng Fang, Yilin Liu, Peng‐Yuan Wang, Roey Elnathan, Yaping Chen   +7 more
wiley   +1 more source

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

Advanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao, Lin Zeng, Jiaren Wang, Chang Hong, Ziyong Zhang, Chengkai Wu, Hao Cui, Yan Li, Ruining Li, Shengxing Liang, Qijie Deng, Wenyuan Li, Xuejing Zou, Pengcheng Ma, Li Liu   +14 more
wiley   +1 more source

Chlamydia pneumoniae in atherosclerotic middle cerebral artery [PDF]

, 2001
Background and Purpose—Atherosclerotic middle cerebral arteries are frequent sites of thrombosis, leading to stroke. Previous studies have suggested a role for Chlamydia pneumoniae in the pathogenesis of atherosclerosis.
Burián, Katalin, Gönczöl, Éva, Intzédy, László, Iványi, Béla, Karai, László, Kis, Zoltán, Szabó, Árpád, Virók, Dezső   +7 more
core