3D segmentation and quantitative analysis of age-related changes in the Hoffa fat pad using MRI

Amit Benady*, Summer Sofer, Roi' Gilad, Liat Tzoran, Ben Efrima, Solomon Dadia, Matias Vidra, Ehud Rath, Eyal Amar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The infrapatellar fat pad (IFP), also known as the Hoffa fat pad, is an essential structure in the knee joint with diverse functions and characteristics. Pathological changes in it can lead to anterior knee pain and impingement. The aim of this study was to investigate the relationship between age and Hoffa fat pad volume. A retrospective analysis was conducted on MRI scans of 100 individuals aged 10–80 years with no Hoffa fat pad pathology. The IFP was meticulously segmented on each sagittal and coronal MRI plane and its volume was calculated on the basis of the segmented boundaries. Correlation analysis was used to explore the relationships among age, sex, height, weight, and patella-related variables. Contrary to the hypothesis, there was no significant correlation between age and Hoffa fat pad volume. However, there were strong positive correlations between Hoffa fat pad volume and individuals' height, patellar height, and patellar ligament length. Multivariable linear regression analysis revealed that height, weight, patellar height, and patellar ligament length collectively explained 67% of Hoffa fat pad volume variability. These findings suggest that the Hoffa fat pad adapts to accommodate morphological changes in the knee joint as individuals grow taller. In conclusion, our study examined Hoffa fat pad volume in individuals across the age spectrum, using advanced imaging techniques to reveal the importance of considering height and knee-related variables for assessing Hoffa fat pad volume. This elucidates age-related volume changes and highlights the need for further research to understand its functional implications and interactions within the knee joint, with the aim of improving orthopedic interventions.

Original languageEnglish
JournalClinical Anatomy
DOIs
StateAccepted/In press - 2024

Keywords

  • 3D segmentation
  • hoffa fat pad
  • MRI

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