Results 201 to 210 of about 7,544,041 (411)

Risk Stratification Soon After Acute Infarction [PDF]

, 1999
Frans J. Th. Wackers, Barry L. Zaret
openalex   +1 more source

Long‐Term Survival, Burden of Disease, and Patient‐Centered Outcomes in Maximally Treated Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Increasing evidence shows that patients with intracerebral hemorrhage (ICH) can achieve better‐than‐expected outcomes with aggressive therapy. However, real‐world long‐term data, patient‐centered outcomes, and societal measures after maximal ICH treatment are lacking.
Anne Mrochen, Maximilian I. Sprügel, Alexander Sekita, Stefanie Balk, David Haupenthal, Stefan T. Gerner, Hannes Lücking, Arnd Doerfler, Kosmas Macha, Stefan Schwab, Joji B. Kuramatsu, Jochen A. Sembill   +11 more
wiley   +1 more source

Novel Magnetic Resonance Imaging Tools for Hypertrophic Cardiomyopathy Risk Stratification

Life
Hypertrophic cardiomyopathy (HCM) is a common genetic disorder with a well described risk of sudden cardiac death; however, risk stratification has remained a challenge.
Fahad Alajmi, Mehima Kang, James Dundas, Alexander Haenel, Jeremy Parker, Philipp Blanke, Fionn Coghlan, John King Khoo, Abdulaziz A. Bin Zaid, Amrit Singh, Bobby Heydari, Darwin Yeung, Thomas M. Roston, Kevin Ong, Jonathon Leipsic, Zachary Laksman   +15 more
doaj   +1 more source

Interrogating molecular data for medulloblastoma risk stratification [PDF]

, 2018
Ferretti, Elisabetta, Po, Agnese
core   +1 more source

Myocardial Infarction: Predischarge Risk Stratification [PDF]

, 1996
C. Richard Conti
openalex   +1 more source

Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus

Abdominal Radiology, 2021
Pankaj Gupta, U. Dutta, Pratyaksha Rana, M. Singhal, A. Gulati, N. Kalra, Raghuraman Soundararajan, Daneshwari Kalage, Manika Chhabra, Vishal Sharma, Vikas Gupta, T. Yadav, L. Kaman, S. Irrinki, Harjeet Singh, Y. Sakaray, Chandan K Das, U. Saikia, R. Nada, R. Srinivasan, M. Sandhu, Raju Sharma, N. Shetty, A. Eapen, H. Kaur, A. Kambadakone, R. D. de Haas, V. Kapoor, S. Barreto, Atul Sharma, Amol Patel, P. Garg, Sujoy K. Pal, M. Goel, S. Patkar, A. Behari, A. Agarwal, B. Sirohi, M. Javle, G. Garcea, F. Nervi, V. Adsay, J. Roa, Ho-Seong Han   +43 more
semanticscholar   +1 more source

Threshold Values of Sleep Spindles Features in Healthy Adults Using Scalp‐EEG and Associations With Sleep Parameters

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sleep spindles are an electrophysiological fingerprint of the sleeping human brain. They can be described in terms of duration, frequency, amplitude, and density, and vary widely according to age and sex. Spindles play a role in sleep and wake functions and are altered in several neurological and psychiatric disorders.
Julien Coelho, Heloïse Degros, Jean‐Arthur Micoulaud‐Franchi, Patricia Sagaspe, Emmanuel d'Incau, Paul Galvez, Christian Berthomier, Pierre Philip, Jacques Taillard   +8 more
wiley   +1 more source

Risk stratification for melanoma

Oncotarget, 2019
Catherine M. Olsen, David C. Whiteman
openaire   +3 more sources

KIF5A p.Pro986Leu Risk Variant and Accelerated Progression of Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This study explored the impact of KIF5A rs113247976 (p.Pro986Leu), a risk allele for amyotrophic lateral sclerosis (ALS), on phenotypic variability in two Italian ALS cohorts (discovery, n = 865; replication, n = 1174). The minor allele (T) frequency was 0.015.
Arianna Manini, Rosario Vasta, Alberto Brusati, Francesco Scheveger, Silvia Peverelli, Alessio Maranzano, Alberto Doretti, Francesco Gentile, Eleonora Colombo, Maura Brunetti, Cristina Moglia, Antonio Canosa, Umberto Manera, Maurizio Grassano, Davide Gentilini, Stefano Messina, Federico Verde, Claudia Morelli, John E. Landers, Bryan J. Traynor, Adriano Chiò, Vincenzo Silani, Andrea Calvo, Antonia Ratti, Nicola Ticozzi   +24 more
wiley   +1 more source

Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images [PDF]

arXiv
Prostate cancer is a leading health concern among men, requiring accurate and accessible methods for early detection and risk stratification. Prostate volume (PV) is a key parameter in multivariate risk stratification for early prostate cancer detection, commonly estimated using transrectal ultrasound (TRUS). While TRUS provides precise prostate volume
arxiv