Results 141 to 150 of about 161,088 (334)

Technical Review of Magnetic Resonance Fingerprinting Applications in Cerebral Physiology

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Magnetic resonance fingerprinting (MRF) enables quantitative MRI by allowing the simultaneous mapping of multiple tissue properties through innovative acquisition and computational methods. This review focuses on the application of MRF techniques to cerebral physiology, emphasizing advancements in vascular imaging and the integration of ...
Chieh‐Te Lin, Hanzhang Lu, Audrey P. Fan   +2 more
wiley   +1 more source

Hemostazni sistem i ishemijska bolest mozga (specifičnosti vezane za moždanu cirkulaciju I kliničke implikacije) [PDF]

Vojnosanitetski Pregled, 2002
Raičević Ranko, Jovičić Aco, Mandić-Radić Slavka, Đorđević Dragana   +3 more
doaj   +1 more source

Predictive value of pressure reactive index and mean flow index in the prognosis of severe traumatic brain injury

Chinese Journal of Contemporary Neurology and Neurosurgery
Objective To explore and evaluate the application value of pressure reactivity index (PRx) based on invasive intracranial pressure (ICP) and mean flow index (Mx) based on transcranial Doppler ultrasonography (TCD) noninvasive monitoring in severe ...
XIA Jing, SHI Yi, XU Wei, HAN Bing-sha, ZHANG Ming, FENG Guang   +5 more
doaj   +1 more source

Non‐Targeted Analysis of Extracellular Vesicle‐Enriched Plasma Proteome Between Early and Late Rugby Playing Career

PROTEOMICS – Clinical Applications, EarlyView.
ABSTRACT Purpose Rugby players experience high‐impact collisions, potentially increasing their risk of neurodegenerative conditions. This study investigates whether the plasma proteome of extracellular vesicles (EV) provides biomarkers to indicate differential risk associated with a rugby career.
Abhishek Jagan, Yusuke Nishimura, Tim Donnovan, Jatin G. Burniston   +3 more
wiley   +1 more source

Research Progress in Pharmacological Effects and Mechanisms of Angelica sinensis against Cardiovascular and Cerebrovascular Diseases

Molecules
Angelica sinensis (Oliv.) Diels (A. sinensis) is a medicinal and edible values substance, which could promote blood circulation and enrich blood.
Linlin Chen, Bei Fan, Fengzhong Wang, Yang Song, Xizhi Wang, Ying Meng, Yumin Chen, Qing Xia, Jing Sun   +8 more
doaj   +1 more source

Longitudinal Relationships of Subclinical Cardiovascular Disease with Physical Function in Older Adults [PDF]

, 2009
Low ankle-arm index (AAI), a marker of peripheral arterial disease, predicts incident disability in older adults. Elevated pulse wave velocity (PWV), a measure of arterial stiffness, increases risk of cardiovascular events and mortality.
Watson, Nora Lynn
core  

Atypical presentation of pheochromocytoma as acute ischemic stroke and pulmonary embolism, a case report

UroPrecision, EarlyView.
Abstract Background Pheochromocytoma is a rare catecholamine‐secreting tumor that often presents with symptoms such as hypertension, palpitations, and sweating due to excessive hormone production. In some cases, the catecholamine‐induced vasoconstriction and hypercoagulability associated with pheochromocytomas can lead to cerebrovascular accidents and ...
Mohannad N. AbuHaweeleh, Ahmad Yousef Al‐maslamani, Majd A. AbuAlrob, Abdelrahman Elsayed, Mahmoud Altayyan, Osama Khalil, Ahmad Abdulhadi   +6 more
wiley   +1 more source

The biophysical basis and clinical applications of rheoencephalography [PDF]

Rheoencephalography methods for determining aviators potentially subject to cerebrovascular ...
Seipel, J. H.
core   +1 more source

Efficiency comparison between new single‐needle dialysis and conventional double‐needle dialysis and exploration of the optimal prescription parameters for single‐needle hemodialysis

Therapeutic Apheresis and Dialysis, Volume 29, Issue 3, Page 419-427, June 2025.
Abstract Objective To compare the dialysis efficiency parameters between new single‐needle dialysis and conventional double‐needle dialysis and to explore the optimal prescription parameters for single‐needle hemodialysis. Methods This study involved a prospective, cross‐over design. Eight patients were randomly divided into two cohorts, which received
Bin Zhao, Shen Zhan, Gang Fu, Shanshan Guo, Lifang Liu, Wei Liu, Guanghui Xiao, Yuzhu Wang, Lihong Zhang   +8 more
wiley   +1 more source

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

Artificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato, Takeshi Goto, Tomoyuki Ohira, Hirotaka Kinoshita, Kugo Kurokawa, Kouhei Naganuma, Chikako Ohminato, Junko Ogasawara, Shingo Hatakeyama, Yoshihiro Sasaki, Kazuyoshi Hirota, Chikara Ohyama   +11 more
wiley   +1 more source