ArticleInsights into imaging2022
The association of body composition with abdominal aortic aneurysm growth after endovascular aneurysm repair.
Article in Insights into imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- The neglected association between central obesity markers and abdominal aortic aneurysm presence: A systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2023Pooled it
- Assessing abdominal aortic aneurysm growth using radiomic features of perivascular adipose tissue after endovascular repair.Insights into imaging · 2024Article
- The role of CT-assessed sarcopenia and visceral adipose tissue in predicting long-term survival in patients undergoing elective endovascular infrarenal aortic repair.The British journal of radiology · 2024Article
- Association of lower extremity peripheral arterial disease with quantitative muscle features from computed tomography angiography.Insights into imaging · 2024Article
- Unenhanced computed tomography radiomics help detect endoleaks after endovascular repair of abdominal aortic aneurysm.European radiology · 2024Article
- Obesity and the obesity paradox in abdominal aortic aneurysm.Frontiers in endocrinology · 2024Review
- Abdominal Aortic Aneurysm Detection in Bioelectrical Impedance Cardiovascular Screenings-A Pilot Study.Journal of clinical medicine · 2023Article
- The relation of aortic dimensions and obesity in adults with Marfan or Loeys-Dietz syndrome.Cardiovascular diagnosis and therapy · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundBody composition (BC) may be associated with abdominal aortic aneurysm (AAA) growth, but the results of previous research are contradictory. This study aimed to explore the relationship between BC and postoperative aneurysm progression.
methodsPatients with regular postoperative follow-ups were retrospectively identified. The volume change of the aneurysm was measured to evaluate AAA progression. After segmenting different body components (subcutaneous fat, visceral fat, pure muscle, and intramuscular fat), the shape features and gray features of these tissues were extracted. Uni- and multivariable methods were used to analyze the relationship between imaging features of BC and AAA growth.
resultsA total of 94 patients (68 ± 8 years) were eligible for feature analyses. Patients with expansive aneurysms (29/94; volume change > 2%) were classified into Group(+) and others with stable or shrunken aneurysms (65/94) were classified into Group(-). Compared with Group(+), Group(-) showed a higher volume percent of pure muscle (21.85% vs 19.51%; p = .042) and a lower value of intramuscular fat (1.23% vs 1.65%; p = .025). CT attenuation of muscle tissues of Group(-) got a higher mean value (31.16 HU vs 23.92 HU; p = .019) and a lower standard deviation (36.12 vs 38.82; p = .006) than Group(+). For adipose tissue, we found no evidence of a difference between the two groups. The logistic regression model containing muscle imaging features showed better discriminative accuracy than traditional factors (84% vs 73%).
conclusionsMuscle imaging features are associated with the volume change of postoperative aneurysms and can make an early prediction. Adipose tissue is not specifically related to AAA growth.
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