Relationship Between Liver Steatosis, Pancreas Steatosis, Metabolic Comorbidities, and Subclinical Vascular Markers in Children with Obesity: An Imaging-Based Study
Bibliographic record
Abstract
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is prevalent in adolescents with obesity and is linked to insulin resistance and cardiovascular disease (CVD). Pancreas steatosis might be associated with MASLD and early CVD. Imaging-based analyses of these associations have not been studied extensively in children. Objectives: To assess the reproducibility of liver and pancreatic steatosis and volume measurement on MRI in adolescents with obesity and MASLD and their association with homeostatic model assessment of insulin resistance (HOMA-IR) and subclinical vascular changes on ultrasound. Methods: This is an observational study on adolescents with MASLD and obesity. Hepatic and pancreatic steatosis, volume, and abdominal fat were assessed using magnetic resonance spectroscopy and proton density fat fraction. Reproducibility of these measurements was performed. Vascular markers included non-invasive vascular elastography (NIVE), carotid artery intima-media thickness (IMT), and pericardial fat thickness. Fasting blood tests measured the HOMA-IR. Bivariate correlation and simple linear regression were performed using SPSS. Results: We obtained 23 participants aged 12 to 17 years (78.3% male). Measurements were reproducible [ICC 0.807–0.998]. Liver steatosis was positively correlated with HOMA-IR (p = 0.015). Pancreas steatosis was positively correlated with HOMA-IR (p = 0.02), IMT/diameter (p = 0.002), and pericardial fat (p = 0.03). Liver steatosis was not significantly correlated with pancreas steatosis nor vascular markers. There were negative associations between NIVE metrics and visceral abdominal fat (p = 0.009) and intraperitoneal fat (p = 0.047). Conclusions: Liver and pancreas steatosis measurements on MRI are reproducible. In this exploratory study, adolescents with obesity and MASLD, pancreas steatosis, and pancreas volume show association with subclinical CVD markers. Visceral and intraperitoneal abdominal fat show association with increased vascular stiffness, suggesting a potential role of imaging-based cardiovascular risk assessment in this population if validated. These preliminary findings require validation in larger, diverse prospective cohorts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".