Mapping Fatty Acid Composition in the Human Knee: Short‐Term Repeatability at <scp>3T</scp>

BACKGROUND: Alterations in periarticular lipid composition are implicated in musculoskeletal diseases, yet short-term reliability of MRI-based triglyceride composition mapping in the knee is not fully established. PURPOSE: To evaluate 1-week repeatability of proton-density fat fraction (PDFF) and triglyceride fatty-acid composition-saturated (SFA), monounsaturated (MUFA), and polyunsaturated (PUFA)-in periarticular knee tissues. STUDY TYPE: Prospective. POPULATION: ). FIELD STRENGTH/SEQUENCE: 3T; 12-echo 3D spoiled gradient-echo acquisition for chemical shift-encoded fat quantification and a proton density-weighted SPACE sequence for segmentation (0.6 mm isotropic). ASSESSMENT: Participants underwent repeated MRI 1 week apart. Femoral and tibial bone marrow, patella, Hoffa's fat pad, prefemoral fat pad, quadriceps fat pad, posterior fat pad, and subcutaneous adipose tissue were segmented and rigidly aligned. Voxelwise spectral fitting was used to estimate PDFF and fatty acid composition, including SFA, MUFA, and PUFA components. Repeatability metrics included bias, within-subject standard deviation (wSD), within-subject coefficient of variation (wCV%), coefficient of repeatability, and intraclass correlation coefficient (ICC). STATISTICAL TESTS: Paired t-tests assessed systematic differences (α = 0.05); ICCs used a two-way random-effects, absolute-agreement model (ICC(2,1)). RESULTS: PDFF showed lowest variability across all regions (wCV: 1.5%-5.9%; ICC: 0.33-0.96). SFA demonstrated similar stability (wCV: 2.4%-12.6%; ICC: 0.19-0.87). MUFA exhibited anatomy-dependent reliability (wCV: 4.1%-21.1%; ICC: 0.17-0.97), with highest repeatability in subcutaneous adipose tissue (ICC: 0.97) and Hoffa's fat pad (ICC: 0.85). PUFA displayed the greatest variability (wCV: 3.6%-52.8%; ICC: 0.10-0.94), with the greatest instability in periarticular fat pads. No paired comparisons were significant (all p > 0.05; range p = 0.14-0.98). Regional ordering remained consistent across sessions. DATA CONCLUSION: A 12-echo chemical shift-encoded MRI protocol provides repeatable PDFF and SFA measurements over 1 week. MUFA reliability varies by tissue, while PUFA remains least stable. EVIDENCE LEVEL: 2 (Prospective cohort). TECHNICAL EFFICACY STAGE: 2 (Reproducibility/feasibility evaluation).

Authors

Institutions

Publication Details

Journal
Journal of Magnetic Resonance Imaging
Published
2026-06-25
DOI
https://doi.org/10.1002/jmri.70396
Primary Topic
Osteoarthritis Treatment and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping Fatty Acid Composition in the Human Knee: Short‐Term Repeatability at 3T

Guillaume Madelin, Anne Adlung, Rollanda Bernadin, Baptiste Busi et al.
Journal of Magnetic Resonance Imaging
Osteoarthritis Treatment and Mechanisms
article

Mapping Fatty Acid Composition in the Human Knee: Short‐Term Repeatability at 3T

Guillaume Madelin, Anne Adlung, Rollanda Bernadin, Baptiste Busi, Dimitri Martel, Amparo Ruiz, Thorsten Kirsch, Richard Kijowski, Yagni Shah
article en

Abstract

BACKGROUND: Alterations in periarticular lipid composition are implicated in musculoskeletal diseases, yet short-term reliability of MRI-based triglyceride composition mapping in the knee is not fully established. PURPOSE: To evaluate 1-week repeatability of proton-density fat fraction (PDFF) and triglyceride fatty-acid composition-saturated (SFA), monounsaturated (MUFA), and polyunsaturated (PUFA)-in periarticular knee tissues. STUDY TYPE: Prospective. POPULATION: ). FIELD STRENGTH/SEQUENCE: 3T; 12-echo 3D spoiled gradient-echo acquisition for chemical shift-encoded fat quantification and a proton density-weighted SPACE sequence for segmentation (0.6 mm isotropic). ASSESSMENT: Participants underwent repeated MRI 1 week apart. Femoral and tibial bone marrow, patella, Hoffa's fat pad, prefemoral fat pad, quadriceps fat pad, posterior fat pad, and subcutaneous adipose tissue were segmented and rigidly aligned. Voxelwise spectral fitting was used to estimate PDFF and fatty acid composition, including SFA, MUFA, and PUFA components. Repeatability metrics included bias, within-subject standard deviation (wSD), within-subject coefficient of variation (wCV%), coefficient of repeatability, and intraclass correlation coefficient (ICC). STATISTICAL TESTS: Paired t-tests assessed systematic differences (α = 0.05); ICCs used a two-way random-effects, absolute-agreement model (ICC(2,1)). RESULTS: PDFF showed lowest variability across all regions (wCV: 1.5%-5.9%; ICC: 0.33-0.96). SFA demonstrated similar stability (wCV: 2.4%-12.6%; ICC: 0.19-0.87). MUFA exhibited anatomy-dependent reliability (wCV: 4.1%-21.1%; ICC: 0.17-0.97), with highest repeatability in subcutaneous adipose tissue (ICC: 0.97) and Hoffa's fat pad (ICC: 0.85). PUFA displayed the greatest variability (wCV: 3.6%-52.8%; ICC: 0.10-0.94), with the greatest instability in periarticular fat pads. No paired comparisons were significant (all p > 0.05; range p = 0.14-0.98). Regional ordering remained consistent across sessions. DATA CONCLUSION: A 12-echo chemical shift-encoded MRI protocol provides repeatable PDFF and SFA measurements over 1 week. MUFA reliability varies by tissue, while PUFA remains least stable. EVIDENCE LEVEL: 2 (Prospective cohort). TECHNICAL EFFICACY STAGE: 2 (Reproducibility/feasibility evaluation).

Journal of Magnetic Resonance Imaging
Hospital for Special Surgery (US), EngenderHealth (US), New York University (US)
Center for Advanced Imaging Innovation and Research, Centre d'Imagerie BioMédicale, National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering
Openalex Percentile: Top 7%
Osteoarthritis Treatment and Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.