Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19

BACKGROUND: Direct evaluation of vascular inflammation in patients with COVID-19 would facilitate more efficient trials of new treatments and identify patients at risk of long-term complications who might respond to treatment. We aimed to develop a novel artificial intelligence (AI)-assisted image a...

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Detalles Bibliográficos
Autores principales: Kotanidis, Christos P, Xie, Cheng, Alexander, Donna, Rodrigues, Jonathan C L, Burnham, Katie, Mentzer, Alexander, O’Connor, Daniel, Knight, Julian, Siddique, Muhammad, Lockstone, Helen, Thomas, Sheena, Kotronias, Rafail, Oikonomou, Evangelos K, Badi, Ileana, Lyasheva, Maria, Shirodaria, Cheerag, Lumley, Sheila F, Constantinides, Bede, Sanderson, Nicholas, Rodger, Gillian, Chau, Kevin K, Lodge, Archie, Tsakok, Maria, Gleeson, Fergus, Adlam, David, Rao, Praveen, Indrajeet, Das, Deshpande, Aparna, Bajaj, Amrita, Hudson, Benjamin J, Srivastava, Vivek, Farid, Shakil, Krasopoulos, George, Sayeed, Rana, Ho, Ling-Pei, Neubauer, Stefan, Newby, David E, Channon, Keith M, Deanfield, John, Antoniades, Charalambos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417284/
https://www.ncbi.nlm.nih.gov/pubmed/36038496
http://dx.doi.org/10.1016/S2589-7500(22)00132-7

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