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Systematic Reviews
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
Table 1 Inclusion and exclusion criteria
Criterion
Inclusion
Exclusion
PopulationChildren and adolescents (≤ 18 years) with obesity, NAFLD/MASLD, or metabolic conditionsAdults (>18 years); studies without separate pediatric data
Study designObservational studies (cross-sectional, cohort, case-control)Case reports, reviews, editorials, letters, conference abstracts
Intervention/exposureUltrasound-based elastography: TE, pSWE, 2D-SWENon-elastography imaging (e.g., MRI, CT), invasive biopsy-only studies
ComparatorValidated insulin resistance measures (HOMA-IR, clamp test, fasting indices)Studies without insulin resistance measures
OutcomesCorrelation, diagnostic accuracy (AUROC, sensitivity, specificity), regression associationsStudies not reporting the elastography-insulin resistance relationship
LanguageEnglishNon-English
Publication year2000-October 2025Outside 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], 2023GreeceAdolescent females with PCOS (47), control (40)12.3-20.487TEFibroscan deviceLFS, FLI, LAP, LSM, HSI, (stiffness)HOMA-IR0.61PCOS status, LFS, FAI
D'Hondt et al[11], 2021BelgiumObese, liver fat quantification7-1748MRI PDFF, SWE, QUSEPIQ-7GAttenuationHOMA-IR0.48None reported
Ferraioli et al[12], 2017ItalyControl (106), overweight (100)/obese (99)4.1-17.4305TEFibroScan 502 Touch deviceCAP (attenuation)HOMA-IR0.54BMI, FLI, HSI
Lefere et al[13], 2025United States, (multi-center)MASLD cohort8-18327TEFibroScan 502 TouchCAP (attenuation)Fasting glucose0.5pFIB score, ethnicity
Song et al[14], 2025South KoreaNHANES cohort12-18260TEFibroScan model 502 V2 TouchCAPMETS-IR0.49BMI, waist circumference
Tas et al[15], 2024United StatesYouth with obesity (72%), control (28%)14.1-17.2114MRI and TEFibroScanCAP (attenuation)HOMA-IR0.30Obesity status
Arsoy et al[16], 2024TurkeyObese (53%), suspected NAFLD9-1895 patients, and 116 controlVibration-controlled TEHitachi Hi-Vision Preirus deviceCAP and LSMHOMA-IR0.45Age, BMI
Ata et al[17], 2023EgyptObese/overweight children and adolescents with NAFLD6-1660TEFibroScan-502 echosen-France-M, XL probs- CAP enabledLSM and CAPHOMA-IR0.32None reported
Brunnert et al[18], 2022GermanyGeneral pediatric, population-based10-18482TEM or XL probeLSM and CAPHOMA-IR0.35Age, sex, puberty
Heldens et al[19], 2024BelgiumSevere obesity (56% had steatosis)9-16200TEFibroScan Mini+ 430 with M and XL probe and LogiQ S7 device with a C1-6-D probeLSM and CAPAdipo-IR and HOMA-IR0.65Lifestyle intervention
Kwon et al[20], 2019South KoreaNAFLD/NASH5-15106TEFibroScan® deviceLSM and CAPHOMA-IR0.42Fibrosis stage
Rose et al[21], 2023South AfricaHealthy controls7.9-17.7104TEFibroScan with standard M probeLSM and CAPFasting glucose0.25Age, BMI
Bailey et al[22], 2017United StatesObese (59%) and controls0.06-18.9300SWEIU-22 ElastPQ systemSWV (stiffness)Fasting insulin0.51Age, sex
Çakır and Acunaş[23], 2025TurkeyNAFLD (31) and controls (12)7-1643ARFISiemens ACUSON S3000SWV (stiffness)HOMA-IR0.55BMI, height, liver craniocaudal length
Karaman et al[24], 2022TurkeyObese/overweight (131), MetS, control (50)6.2-18.9181SWESiemens Acuson S3000 using a 6C1 transducerSWVHOMA-IR0.2MetS status
Pawar et al[25], 2016IndiaOverweight/obese11-15660SWEFibroscan 3.5 MHz ProbeSWVHOMA-IR0.37BMI
Table 3 Different methods used to assess insulin resistance in pediatric populations
IR measure
Primary physiological focus
Required inputs
Advantages
Limitations in pediatrics
HOMA-IRHepatic IRFasting glucose, fasting insulinSimple, widely used, validated in adultsOverestimates IR during puberty; sensitive to fasting variations; poor reflection of adipose/muscle IR
QUICKIPeripheral IRFasting glucose, fasting insulinGood for detecting insulin sensitivity changesLess reliable at extremes of glucose or insulin; limited pediatric validation
Adipo-IRAdipose lipolysis and FFA fluxFasting insulin × fasting free fatty acidsDirectly reflects adipose dysfunction; links metabolic overflow to hepatic injuryRequires FFA measurement; less available in clinical labs
METS-IRSystemic metabolic IRGlucose, triglycerides, HDL-C, BMI (or waist circumference)Integrates multiple metabolic risk factors; correlates with both CAP and LSMNewer index; pediatric reference ranges still being standardized
Clamp techniques (e.g., hyperinsulinemic-euglycemic clamp)Gold standard for IR quantificationDynamic insulin-glucose infusion studyDirect measure of insulin sensitivityInvasive, 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 targetHepatic fat accumulation (steatosis)Fibrosis, inflammation, and parenchymal stiffnessFibrosis and parenchymal elasticity distribution
Primary determinantFat-induced ultrasound attenuationShear-wave propagation velocity (mechanical vibration)Acoustic radiation force impulse-induced shear-wave velocity
Measurement unitdB/mkPam/second (or converted to kPa)
1Correlation with insulin resistanceModerate (r approximately 0.30-0.40)Strong (r approximately 0.50-0.65)Strong (r approximately 0.45-0.60)
Best correlated IR indexHOMA-IR, fasting insulinAdipo-IR, METS-IRAdipo-IR, METS-IR
Clinical roleEarly detection and metabolic risk screeningDisease staging and progression monitoringQuantitative fibrosis mapping with spatial visualization
Affected byObesity, hepatic heterogeneityInflammation, postprandial stateDepth of measurement, acoustic window, probe alignment
Main advantageSensitive to early metabolic derangementsWell validated for fibrosis; rapid and reproducibleProvides 2D stiffness map; higher spatial resolution; real-time visualization
Main limitationLimited fibrosis predictionLimited assessment of steatosisOperator-dependent; affected by motion and depth artifacts
Optimal useScreening and monitoring of steatosis regressionPrognostic follow-up and fibrosis surveillanceAdvanced fibrosis characterization and research applications in heterogeneous tissues


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