Evidence map›Paper›PMID 39429350›Full record

ArticleCureus2024

Dual-Energy Computed Tomography-Guided Assessment of Visceral Adiposity and Its Correlation With Lipid Function Test: A Retrospective Study.

Ajina Sam, Afrin Banu Kaja Mohideen, Mohamed Asif Syed Buhari, Karthik Krishna Ramakrishnan, Shree Haritha P

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ajina SamRadiodiagnosis, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.
Afrin Banu Kaja MohideenMedical Imaging Technology, Saveetha College of Allied Health Sciences, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.
Mohamed Asif Syed BuhariMedical Imaging Technology, Saveetha College of Allied Health Sciences, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.
Karthik Krishna RamakrishnanRadiodiagnosis, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.
Shree Haritha PMedical Imaging Technology, Saveetha College of Allied Health Sciences, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Obesity, a prevalent global health concern, is associated with various chronic conditions, including cardiovascular diseases and metabolic syndrome. Visceral adiposity, the accumulation of fat around internal organs, has a more significant impact on metabolic health compared to subcutaneous fat. Accurate assessment of visceral fat is critical for predicting metabolic risks. Dual-Energy Computed Tomography (DECT) is emerging as an effective tool for quantifying visceral adiposity, allowing for enhanced tissue differentiation. This study aims to assess visceral adiposity using DECT and explore its correlation with lipid function tests, including cholesterol and triglyceride levels, in a cohort of patients. Materials and methods This retrospective observational study was conducted in the Department of Radiology at Saveetha Medical College and Hospital, Chennai. Data from 100 patients aged 25 to 75 years with a BMI of 25 kg/m² or higher, were analyzed. DECT scans were performed using a Siemens SOMATOM go.Top 128-slice CT scanner (Siemens, Munich) to quantify visceral fat, particularly mesenteric fat. Lipid function tests were conducted to measure total cholesterol, LDL cholesterol, HDL cholesterol, and triglycerides. Pearson's correlation coefficient was used to analyze the relationship between visceral fat volume and lipid profile components. Results The study found significant correlations between visceral adiposity and lipid profile components. Total Visceral Fat Area (VFA) volume positively correlated with total cholesterol (r = 0.65, p < 0.01), LDL cholesterol (r = 0.58, p < 0.01), and triglycerides (r = 0.52, p < 0.05). An inverse relationship was observed between VFA volume and HDL cholesterol (r = -0.48, p < 0.05). Regression analysis confirmed that VFA volume is an independent predictor of these lipid levels after adjusting for age, gender, and BMI. The study also reported the prevalence of hepatomegaly in 11 (36.6%) cases and fatty liver in nine (30%) cases in the study population, underscoring the metabolic implications of visceral fat accumulation. Conclusion This study highlights the significant role of visceral adiposity in influencing lipid metabolism and associated cardiovascular risks. DECT proved to be a precise and reliable tool for assessing visceral fat and its metabolic implications. The findings suggest that increased visceral fat is associated with adverse lipid profiles, contributing to a higher risk of metabolic disorders. These results emphasize the need for incorporating advanced imaging techniques like DECT in clinical practice for better risk stratification and personalized treatment strategies in patients with obesity and related metabolic conditions.

Indexed as

cholesteroldual-energy computed tomographydual-energy ct (dect)lipid function testmetabolic disordersvisceral adiposity

Identifiers

PMID39429350
PMCPMC11486857

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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.