A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography

Abstract Background Coronary inflammation induces dynamic changes in the balance between water and lipid content in perivascular adipose tissue (PVAT), as captured by perivascular Fat Attenuation Index (FAI) in standard coronary CT angiography (CCTA). However, inflammation is not the only process in...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	European heart journal Ročník 40; číslo 43; s. 3529 - 3543
Hlavní autoři:	Oikonomou, Evangelos K, Williams, Michelle C, Kotanidis, Christos P, Desai, Milind Y, Marwan, Mohamed, Antonopoulos, Alexios S, Thomas, Katharine E, Thomas, Sheena, Akoumianakis, Ioannis, Fan, Lampson M, Kesavan, Sujatha, Herdman, Laura, Alashi, Alaa, Centeno, Erika Hutt, Lyasheva, Maria, Griffin, Brian P, Flamm, Scott D, Shirodaria, Cheerag, Sabharwal, Nikant, Kelion, Andrew, Dweck, Marc R, Van Beek, Edwin J R, Deanfield, John, Hopewell, Jemma C, Neubauer, Stefan, Channon, Keith M, Achenbach, Stephan, Newby, David E, Antoniades, Charalambos
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Oxford University Press 14.11.2019
Témata:	Adipose Tissue - diagnostic imaging Adipose Tissue - pathology Aged Algorithms Case-Control Studies Computed Tomography Angiography Coronary Artery Disease - diagnostic imaging Coronary Artery Disease - genetics Coronary Artery Disease - pathology Female Follow-Up Studies Gene Expression Profiling - methods Genetic Markers Humans Machine Learning Male Middle Aged Phenotype Plaque, Atherosclerotic - diagnostic imaging Plaque, Atherosclerotic - genetics Plaque, Atherosclerotic - pathology Risk Assessment Transcriptome Adipose tissue Computed tomography Coronary artery disease Machine learning Risk stratification Radiomics
ISSN:	0195-668X, 1522-9645, 1522-9645
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!