ReviewBritish journal of pharmacology2021
Perivascular fat imaging by computed tomography (CT): a virtual guide.
Review in British journal of pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 45 citations in OpenAlex.
- Pericoronary adipose tissue imaging: quantitative assessment, artificial intelligence integration, and therapeutic modulation.The British journal of radiology · 2026Review
- The adipose tissue-plaque crosstalk: omics profiling of perivascular adipose tissues for understanding plaque stability.Cardiovascular diabetology · 2026Review
- Pericoronary Radiomics Signature for Non-Culprit Lesion Progression and Revascularization Decision in NSTE-ACS.Diagnostics (Basel, Switzerland) · 2026Article
- A new predictor of disease activity in Takayasu's arteritis patients: pericarotid fat density.BMC medical imaging · 2025Article
- A CT-based radiomics nomogram incorporating adipose tissue to differentiate invasive adenocarcinomas among part-solid pulmonary nodules.BMC cancer · 2025Article
- Phenotyping atherosclerotic plaque and perivascular adipose tissue: signalling pathways and clinical biomarkers in atherosclerosis.Nature reviews. Cardiology · 2025Review
- Sex-Specific Characteristics of Perivascular Fat in Aortic Aneurysms.Journal of clinical medicine · 2025Review
- Correlations between biological markers of the perirenal adipose tissue and clinical features of patients with localized kidney cancer.Frontiers in medicine · 2025Article
- Reducing vasospasm of vein and arterial conduits used in coronary artery bypass surgery: are solutions the solution or is preserved perivascular fat the answer?Frontiers in physiology · 2025Review
- Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis.Cardiovascular diabetology · 2024Article
- Assessing abdominal aortic aneurysm growth using radiomic features of perivascular adipose tissue after endovascular repair.Insights into imaging · 2024Article
- Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study.Cardiovascular diabetology · 2024Article
- Novel diagnostic approaches and management of coronary microvascular dysfunction.American journal of preventive cardiology · 2024Article
- Lesson on obesity and anatomy of adipose tissue: new models of study in the era of clinical and translational research.Journal of translational medicine · 2024Review
- Advances in Clinical Imaging of Vascular Inflammation: A State-of-the-Art Review.JACC. Basic to translational science · 2024Review
- Spatial lipidomics of coronary atherosclerotic plaque development in a familial hypercholesterolemia swine model.Journal of lipid research · 2024Article
- Assessing the Impact of Long-Term High-Dose Statin Treatment on Pericoronary Inflammation and Plaque Distribution-A Comprehensive Coronary CTA Follow-Up Study.International journal of molecular sciences · 2024Observational
- Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers.European heart journal · 2023Review
- Computed tomography angiography-based radiomics model to identify high-risk carotid plaques.Quantitative imaging in medicine and surgery · 2023Article
- Elevated FAI Index of Pericoronary Inflammation on Coronary CT Identifies Increased Risk of Coronary Plaque Vulnerability after COVID-19 Infection.International journal of molecular sciences · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Imaging in medicine has been revolutionised by technological, computational and research advances over the past decades. Computed tomography (CT), in particular, has seen rapid evolution especially in the field of cardiovascular non-invasive imaging. It is being recognised as the first-line tool for the assessment of stable and unstable disease with diagnostic, prognostic and re-stratification potential. Vascular inflammation is a key component of the atherosclerotic process and has been shown to induce molecular, transcriptional and structural changes to perivascular adipose tissue (PVAT). Being a diverse structure itself, PVAT surrounds the human vessels and is characterised by a highly rich secretome, including, amongst others, adipokines, cytokines, gaseous messengers and miRNAs It is implicated in a bidirectional interplay with the adjacent vascular wall, affecting and being affected by aspects of its biology, mainly inflammation. In this review, we discuss the current status of cardiac CT in imaging vascular inflammation through PVAT phenotyping. LINKED ARTICLES: This article is part of a themed issue on Molecular imaging - visual themed issue. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v178.21/issuetoc.
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Registered trials
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.