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Background <p>Osteoarthritis is increasingly recognized as a whole-joint disorder with metabolic and inflammatory components. The infrapatellar fat pad (IPFP) is a metabolically active intra-articular tissue, but the systemic factors associated with quantitative MRI-based IPFP profiles remain incompletely understood.</p> Methods <p>This retrospective cross-sectional study included 67 knees from 64 adults who underwent knee MRI, ipsilateral knee radiography, and abdominopelvic CT within 3 months. IPFP cross-sectional area (IPFP area) and log-transformed normalized signal intensity (Norm-P) were assessed on sagittal fat-suppressed proton density- or T2-weighted MRI sequences. CT-derived body composition metrics, including L3-based total muscle area and L3-based total fat area, were obtained using automated deep learning-based software. Associations were evaluated using Pearson correlation and multivariable linear regression adjusted for age, sex, body mass index, and Kellgren–Lawrence grade. Interaction analyses were performed to assess effect modification by age and sex, with exploratory subgroup analyses stratified by age (&lt; 50 vs. ≥50 years) and sex.</p> Results <p>In the overall cohort, CT-derived body composition metrics were not significantly associated with IPFP area or Norm-P after multivariable adjustment. Interaction analyses did not show significant effect modification by age or sex. In exploratory age-stratified analyses, L3-based total fat area was associated with log(Norm-P) in the older subgroup (<i>P</i> = 0.039). A 10&#xa0;cm² increase in L3-based total fat area was associated with an approximately 3.9% [95% CI, 0.2%–7.7%] higher Norm-P in the older subgroup. No significant associations were observed in the younger subgroup or in sex-stratified analyses after multivariable adjustment.</p> Conclusions <p>In this exploratory retrospective cross-sectional study, CT-derived body composition metrics were not significantly associated with quantitative MRI-based IPFP profiles in the overall cohort, and interaction analyses did not confirm significant effect modification by age or sex. Although L3-based total fat area showed an association with Norm-P in the older subgroup, this finding should be interpreted cautiously and requires validation in larger prospective cohorts.</p>

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Exploratory associations between CT-derived body composition and MRI-based infrapatellar fat pad profiles with age-stratified analyses: a retrospective cross-sectional study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月31日

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  • Seunghyun Song,
  • Hee Sang Oh,
  • Sungjun Kim,
  • Hong-Seon Lee

摘要

Background

Osteoarthritis is increasingly recognized as a whole-joint disorder with metabolic and inflammatory components. The infrapatellar fat pad (IPFP) is a metabolically active intra-articular tissue, but the systemic factors associated with quantitative MRI-based IPFP profiles remain incompletely understood.

Methods

This retrospective cross-sectional study included 67 knees from 64 adults who underwent knee MRI, ipsilateral knee radiography, and abdominopelvic CT within 3 months. IPFP cross-sectional area (IPFP area) and log-transformed normalized signal intensity (Norm-P) were assessed on sagittal fat-suppressed proton density- or T2-weighted MRI sequences. CT-derived body composition metrics, including L3-based total muscle area and L3-based total fat area, were obtained using automated deep learning-based software. Associations were evaluated using Pearson correlation and multivariable linear regression adjusted for age, sex, body mass index, and Kellgren–Lawrence grade. Interaction analyses were performed to assess effect modification by age and sex, with exploratory subgroup analyses stratified by age (< 50 vs. ≥50 years) and sex.

Results

In the overall cohort, CT-derived body composition metrics were not significantly associated with IPFP area or Norm-P after multivariable adjustment. Interaction analyses did not show significant effect modification by age or sex. In exploratory age-stratified analyses, L3-based total fat area was associated with log(Norm-P) in the older subgroup (P = 0.039). A 10 cm² increase in L3-based total fat area was associated with an approximately 3.9% [95% CI, 0.2%–7.7%] higher Norm-P in the older subgroup. No significant associations were observed in the younger subgroup or in sex-stratified analyses after multivariable adjustment.

Conclusions

In this exploratory retrospective cross-sectional study, CT-derived body composition metrics were not significantly associated with quantitative MRI-based IPFP profiles in the overall cohort, and interaction analyses did not confirm significant effect modification by age or sex. Although L3-based total fat area showed an association with Norm-P in the older subgroup, this finding should be interpreted cautiously and requires validation in larger prospective cohorts.