Observational studyRadiology. Cardiothoracic imaging2024
CT Attenuation of Periaortic Adipose Tissue in Abdominal Aortic Aneurysms.
Open access · greenAbstract readObservational Study
In one paragraph
Observational study in Radiology. Cardiothoracic imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
What it found
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Utilization of aorta-specific fat attenuation index in evaluating disease activity and inflammation in Takayasu arteritis.Insights into imaging · 2026Article
- Perivascular adipose tissue inflammation in abdominal aortic aneurysm: An underrecognized contributor.Journal of biomedical research · 2025Article
- Analysis of the relationship between central adiposity and biomechanical, histological, and immunohistochemical properties of the anterior wall of abdominal aortic aneurysms.JVS-vascular science · 2025Article
- Quantification of carotid artery plaque and peri-vascular adipose tissue attenuation on computed tomography.European heart journal. Imaging methods and practice · 2025Article
- Assessing abdominal aortic aneurysm growth using radiomic features of perivascular adipose tissue after endovascular repair.Insights into imaging · 2024Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Samuel DebonoFrom the University of Edinburgh Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T., M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.).ORCID 0000-0002-7834-8766
Evangelos TzolosFrom the University of Edinburgh Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T., M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.).ORCID 0000-0003-0038-043X
Maaz B J SyedFrom the University of Edinburgh Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T., M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.).
Jennifer NashFrom the University of Edinburgh Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T., M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.).ORCID 0000-0001-7523-1127
Alexander J FletcherFrom the University of Edinburgh Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T., M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.).
Marc R DweckFrom the University of Edinburgh Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T., M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.).
David E NewbyFrom the University of Edinburgh Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T., M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.).ORCID 0000-0001-7971-4628
Damini DeyFrom the University of Edinburgh Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T., M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.).ORCID 0000-0003-2236-6970
Rachael O ForsytheFrom the University of Edinburgh Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T., M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.).ORCID 0000-0002-3311-9599
Michelle C WilliamsFrom the University of Edinburgh Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T., M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.).ORCID 0000-0003-3556-2428
University of Edinburgh · GBCedars-Sinai Medical Center · USNHS Lothian · GBUniversity of Glasgow · GB
Funding
Integrated prediction of cardiovascular events by automated coronary plaque and pericoronary adipose tissue quantification from CT AngiographyR01HL148787 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2020 to 2023
$3.0MEffect of Intensive Medical Treatment on Quantified Coronary Artery Plaque Components with Serial Coronary CTA in Women with Non-Obstructive CADR01HL151266 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI, TAMARAPPOO, BALAJI K. · 2020 to 2023
$1.6MBritish Heart Foundation FS/14/78/31020NHLBI NIH HHS R01 HL148787NHLBI NIH HHS R01 HL151266Wellcome Trust
Abstract
Purpose To assess periaortic adipose tissue attenuation at CT angiography in different abdominal aortic aneurysm disease states. Materials and Methods In a retrospective observational study from January 2018 to December 2022, periaortic adipose tissue attenuation was assessed at CT angiography in patients with asymptomatic or symptomatic (including rupture) abdominal aortic aneurysms and controls without aneurysms. Adipose tissue attenuation was measured using semiautomated software in periaortic aneurysmal and nonaneurysmal segments of the abdominal aorta and in subcutaneous and visceral adipose tissue. Periaortic adipose tissue attenuation values between the three groups were assessed using Student
Indexed as
Aortic Aneurysm, AbdominalAdipose TissueAdiposityAgedAorta, AbdominalComputed Tomography AngiographyFemaleHumansMaleObesityRetrospective StudiesAbdominal Aortic AneurysmCT AngiographyPeriaortic Adipose Tissue Attenuation
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.