Copyright: ©Author(s) 2026.
World J Clin Pediatr. Jun 9, 2026; 15(2): 115963
Published online Jun 9, 2026. doi: 10.5409/wjcp.v15.i2.115963
Published online Jun 9, 2026. doi: 10.5409/wjcp.v15.i2.115963
Table 1 Inclusion and exclusion criteria
| Criterion | Inclusion | Exclusion |
| Population | Children and adolescents (≤ 18 years) with obesity, NAFLD/MASLD, or metabolic conditions | Adults (>18 years); studies without separate pediatric data |
| Study design | Observational studies (cross-sectional, cohort, case-control) | Case reports, reviews, editorials, letters, conference abstracts |
| Intervention/exposure | Ultrasound-based elastography: TE, pSWE, 2D-SWE | Non-elastography imaging (e.g., MRI, CT), invasive biopsy-only studies |
| Comparator | Validated insulin resistance measures (HOMA-IR, clamp test, fasting indices) | Studies without insulin resistance measures |
| Outcomes | Correlation, diagnostic accuracy (AUROC, sensitivity, specificity), regression associations | Studies not reporting the elastography-insulin resistance relationship |
| Language | English | Non-English |
| Publication year | 2000-October 2025 | Outside range |
Table 2 Characteristics of pediatric studies evaluating the correlation between elastography measures and insulin resistance metrics
| Ref. | Country | Population characteristics | Age | n (total) | Elastography modality | Devise/probe | Elastography measure | IR metric | Correlation (r) | Covariate adjustments |
| Giannouli et al[10], 2023 | Greece | Adolescent females with PCOS (47), control (40) | 12.3-20.4 | 87 | TE | Fibroscan device | LFS, FLI, LAP, LSM, HSI, (stiffness) | HOMA-IR | 0.61 | PCOS status, LFS, FAI |
| D'Hondt et al[11], 2021 | Belgium | Obese, liver fat quantification | 7-17 | 48 | MRI PDFF, SWE, QUS | EPIQ-7G | Attenuation | HOMA-IR | 0.48 | None reported |
| Ferraioli et al[12], 2017 | Italy | Control (106), overweight (100)/obese (99) | 4.1-17.4 | 305 | TE | FibroScan 502 Touch device | CAP (attenuation) | HOMA-IR | 0.54 | BMI, FLI, HSI |
| Lefere et al[13], 2025 | United States, (multi-center) | MASLD cohort | 8-18 | 327 | TE | FibroScan 502 Touch | CAP (attenuation) | Fasting glucose | 0.5 | pFIB score, ethnicity |
| Song et al[14], 2025 | South Korea | NHANES cohort | 12-18 | 260 | TE | FibroScan model 502 V2 Touch | CAP | METS-IR | 0.49 | BMI, waist circumference |
| Tas et al[15], 2024 | United States | Youth with obesity (72%), control (28%) | 14.1-17.2 | 114 | MRI and TE | FibroScan | CAP (attenuation) | HOMA-IR | 0.30 | Obesity status |
| Arsoy et al[16], 2024 | Turkey | Obese (53%), suspected NAFLD | 9-18 | 95 patients, and 116 control | Vibration-controlled TE | Hitachi Hi-Vision Preirus device | CAP and LSM | HOMA-IR | 0.45 | Age, BMI |
| Ata et al[17], 2023 | Egypt | Obese/overweight children and adolescents with NAFLD | 6-16 | 60 | TE | FibroScan-502 echosen-France-M, XL probs- CAP enabled | LSM and CAP | HOMA-IR | 0.32 | None reported |
| Brunnert et al[18], 2022 | Germany | General pediatric, population-based | 10-18 | 482 | TE | M or XL probe | LSM and CAP | HOMA-IR | 0.35 | Age, sex, puberty |
| Heldens et al[19], 2024 | Belgium | Severe obesity (56% had steatosis) | 9-16 | 200 | TE | FibroScan Mini+ 430 with M and XL probe and LogiQ S7 device with a C1-6-D probe | LSM and CAP | Adipo-IR and HOMA-IR | 0.65 | Lifestyle intervention |
| Kwon et al[20], 2019 | South Korea | NAFLD/NASH | 5-15 | 106 | TE | FibroScan® device | LSM and CAP | HOMA-IR | 0.42 | Fibrosis stage |
| Rose et al[21], 2023 | South Africa | Healthy controls | 7.9-17.7 | 104 | TE | FibroScan with standard M probe | LSM and CAP | Fasting glucose | 0.25 | Age, BMI |
| Bailey et al[22], 2017 | United States | Obese (59%) and controls | 0.06-18.9 | 300 | SWE | IU-22 ElastPQ system | SWV (stiffness) | Fasting insulin | 0.51 | Age, sex |
| Çakır and Acunaş[23], 2025 | Turkey | NAFLD (31) and controls (12) | 7-16 | 43 | ARFI | Siemens ACUSON S3000™ | SWV (stiffness) | HOMA-IR | 0.55 | BMI, height, liver craniocaudal length |
| Karaman et al[24], 2022 | Turkey | Obese/overweight (131), MetS, control (50) | 6.2-18.9 | 181 | SWE | Siemens Acuson S3000 using a 6C1 transducer | SWV | HOMA-IR | 0.2 | MetS status |
| Pawar et al[25], 2016 | India | Overweight/obese | 11-15 | 660 | SWE | Fibroscan 3.5 MHz Probe | SWV | HOMA-IR | 0.37 | BMI |
Table 3 Different methods used to assess insulin resistance in pediatric populations
| IR measure | Primary physiological focus | Required inputs | Advantages | Limitations in pediatrics |
| HOMA-IR | Hepatic IR | Fasting glucose, fasting insulin | Simple, widely used, validated in adults | Overestimates IR during puberty; sensitive to fasting variations; poor reflection of adipose/muscle IR |
| QUICKI | Peripheral IR | Fasting glucose, fasting insulin | Good for detecting insulin sensitivity changes | Less reliable at extremes of glucose or insulin; limited pediatric validation |
| Adipo-IR | Adipose lipolysis and FFA flux | Fasting insulin × fasting free fatty acids | Directly reflects adipose dysfunction; links metabolic overflow to hepatic injury | Requires FFA measurement; less available in clinical labs |
| METS-IR | Systemic metabolic IR | Glucose, triglycerides, HDL-C, BMI (or waist circumference) | Integrates multiple metabolic risk factors; correlates with both CAP and LSM | Newer index; pediatric reference ranges still being standardized |
| Clamp techniques (e.g., hyperinsulinemic-euglycemic clamp) | Gold standard for IR quantification | Dynamic insulin-glucose infusion study | Direct measure of insulin sensitivity | Invasive, costly, impractical in pediatric studies |
Table 4 Comparative overview of controlled attenuation parameter, liver stiffness measurement, and shear wave elastography
| Feature | CAP | LSM-transient elastography) | SWE/ARFI |
| Biological target | Hepatic fat accumulation (steatosis) | Fibrosis, inflammation, and parenchymal stiffness | Fibrosis and parenchymal elasticity distribution |
| Primary determinant | Fat-induced ultrasound attenuation | Shear-wave propagation velocity (mechanical vibration) | Acoustic radiation force impulse-induced shear-wave velocity |
| Measurement unit | dB/m | kPa | m/second (or converted to kPa) |
| 1Correlation with insulin resistance | Moderate (r approximately 0.30-0.40) | Strong (r approximately 0.50-0.65) | Strong (r approximately 0.45-0.60) |
| Best correlated IR index | HOMA-IR, fasting insulin | Adipo-IR, METS-IR | Adipo-IR, METS-IR |
| Clinical role | Early detection and metabolic risk screening | Disease staging and progression monitoring | Quantitative fibrosis mapping with spatial visualization |
| Affected by | Obesity, hepatic heterogeneity | Inflammation, postprandial state | Depth of measurement, acoustic window, probe alignment |
| Main advantage | Sensitive to early metabolic derangements | Well validated for fibrosis; rapid and reproducible | Provides 2D stiffness map; higher spatial resolution; real-time visualization |
| Main limitation | Limited fibrosis prediction | Limited assessment of steatosis | Operator-dependent; affected by motion and depth artifacts |
| Optimal use | Screening and monitoring of steatosis regression | Prognostic follow-up and fibrosis surveillance | Advanced fibrosis characterization and research applications in heterogeneous tissues |
- Citation: Elbeltagi RM, Saeed NK, Bediwy AS, Al-Beltagi M. Ultrasound hepatic elastography: A non-invasive indicator of insulin resistance in the pediatric population: A systematic review. World J Clin Pediatr 2026; 15(2): 115963
- URL: https://www.wjgnet.com/2219-2808/full/v15/i2/115963.htm
- DOI: https://dx.doi.org/10.5409/wjcp.v15.i2.115963