Literature DB >> 27919057

Principles of precision medicine in stroke.

Jason D Hinman1, Natalia S Rost2, Thomas W Leung3, Joan Montaner4, Keith W Muir5, Scott Brown6, Juan F Arenillas7, Edward Feldmann8, David S Liebeskind1.   

Abstract

The era of precision medicine has arrived and conveys tremendous potential, particularly for stroke neurology. The diagnosis of stroke, its underlying aetiology, theranostic strategies, recurrence risk and path to recovery are populated by a series of highly individualised questions. Moreover, the phenotypic complexity of a clinical diagnosis of stroke makes a simple genetic risk assessment only partially informative on an individual basis. The guiding principles of precision medicine in stroke underscore the need to identify, value, organise and analyse the multitude of variables obtained from each individual to generate a precise approach to optimise cerebrovascular health. Existing data may be leveraged with novel technologies, informatics and practical clinical paradigms to apply these principles in stroke and realise the promise of precision medicine. Importantly, precision medicine in stroke will only be realised once efforts to collect, value and synthesise the wealth of data collected in clinical trials and routine care starts. Stroke theranostics, the ultimate vision of synchronising tailored therapeutic strategies based on specific diagnostic data, demand cerebrovascular expertise on big data approaches to clinically relevant paradigms. This review considers such challenges and delineates the principles on a roadmap for rational application of precision medicine to stroke and cerebrovascular health. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  CEREBRAL BLOOD FLOW; CEREBROVASCULAR; IMAGE ANALYSIS; NEUROGENETICS; STATISTICS

Mesh:

Year:  2016        PMID: 27919057     DOI: 10.1136/jnnp-2016-314587

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  19 in total

Review 1.  Mapping the collaterome for precision cerebrovascular health: Theranostics in the continuum of stroke and dementia.

Authors:  David S Liebeskind
Journal:  J Cereb Blood Flow Metab       Date:  2017-05-30       Impact factor: 6.200

Review 2.  Cognitive Impairment and Dementia After Stroke: Design and Rationale for the DISCOVERY Study.

Authors:  Natalia S Rost; James F Meschia; Rebecca Gottesman; Lisa Wruck; Karl Helmer; Steven M Greenberg
Journal:  Stroke       Date:  2021-05-27       Impact factor: 10.170

Review 3.  Deep into the Brain: Artificial Intelligence in Stroke Imaging.

Authors:  Eun-Jae Lee; Yong-Hwan Kim; Namkug Kim; Dong-Wha Kang
Journal:  J Stroke       Date:  2017-09-29       Impact factor: 6.967

Review 4.  Factors Influencing Decision Making for Carotid Endarterectomy versus Stenting in the Very Elderly.

Authors:  Sung Hyuk Heo; Cheryl D Bushnell
Journal:  Front Neurol       Date:  2017-05-26       Impact factor: 4.003

5.  The Use of Deep Learning to Predict Stroke Patient Mortality.

Authors:  Songhee Cheon; Jungyoon Kim; Jihye Lim
Journal:  Int J Environ Res Public Health       Date:  2019-05-28       Impact factor: 3.390

6.  Diffusion Tensor Imaging for Predicting the Outcome of Large-Vessel Ischemic Stroke Treated with Mechanical Thrombectomy: Is This the Prime Time?

Authors:  Y Hannawi
Journal:  AJNR Am J Neuroradiol       Date:  2021-01       Impact factor: 3.825

7.  White Matter Acute Infarct Volume After Thrombectomy for Anterior Circulation Large Vessel Occlusion Stroke is Associated with Long Term Outcomes.

Authors:  Robert W Regenhardt; Mark R Etherton; Alvin S Das; Markus D Schirmer; Joshua A Hirsch; Christopher J Stapleton; Aman B Patel; Thabele M Leslie-Mazwi; Natalia S Rost
Journal:  J Stroke Cerebrovasc Dis       Date:  2020-12-29       Impact factor: 2.136

8.  Evaluation of Artificial Intelligence-Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center.

Authors:  A Yahav-Dovrat; M Saban; G Merhav; I Lankri; E Abergel; A Eran; D Tanne; R G Nogueira; R Sivan-Hoffmann
Journal:  AJNR Am J Neuroradiol       Date:  2020-12-31       Impact factor: 3.825

9.  Outcome after acute ischemic stroke is linked to sex-specific lesion patterns.

Authors:  Anna K Bonkhoff; Markus D Schirmer; Martin Bretzner; Sungmin Hong; Robert W Regenhardt; Mikael Brudfors; Kathleen L Donahue; Marco J Nardin; Adrian V Dalca; Anne-Katrin Giese; Mark R Etherton; Brandon L Hancock; Steven J T Mocking; Elissa C McIntosh; John Attia; Oscar R Benavente; Stephen Bevan; John W Cole; Amanda Donatti; Christoph J Griessenauer; Laura Heitsch; Lukas Holmegaard; Katarina Jood; Jordi Jimenez-Conde; Steven J Kittner; Robin Lemmens; Christopher R Levi; Caitrin W McDonough; James F Meschia; Chia-Ling Phuah; Arndt Rolfs; Stefan Ropele; Jonathan Rosand; Jaume Roquer; Tatjana Rundek; Ralph L Sacco; Reinhold Schmidt; Pankaj Sharma; Agnieszka Slowik; Martin Söderholm; Alessandro Sousa; Tara M Stanne; Daniel Strbian; Turgut Tatlisumak; Vincent Thijs; Achala Vagal; Johan Wasselius; Daniel Woo; Ramin Zand; Patrick F McArdle; Bradford B Worrall; Christina Jern; Arne G Lindgren; Jane Maguire; Danilo Bzdok; Ona Wu; Natalia S Rost
Journal:  Nat Commun       Date:  2021-06-02       Impact factor: 14.919

10.  Artificial intelligence in stroke care: Deep learning or superficial insight?

Authors:  David S Liebeskind
Journal:  EBioMedicine       Date:  2018-08-22       Impact factor: 8.143

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