Journals / Turkish Journal of Medical Sciences / 2019 / Cilt: 49 - Sayı: 3

The relationship between patellofemoral arthritis and fat tissue volume, body mass index and popliteal artery intima-media thickness through 3T knee MRI

Pages
844–853
Publication Date
2022-11-04
DOI
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⚡ TL;DR(Too Long; Didn't Read)

When IFP measurements were corrected using individual BMI and BSA values, a positive correlationwas found between control and advanced chondromalacia groups (P ˂ 0.001).Conclusion: This study demonstrates the relationship among obesity, IMT and chondromalacia and highlights this potential circle todevelop effective treatments and inhibit the progression of chondromalacia.

📌 3 Key Takeaways

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Objective & Hypothesis:Background/aim: Evaluating the relationship of patellar chondromalacia with obesity, infrapatellar fat pad (IFP) volume and poplitealartery intima-media thickness (IMT).Materials and methods: A total of 203 patients with different degree of patellar chondromalacia (103 male, 100 female) and 52 controlsubjects (19 male, 33 female) were included and grouped according to sex, age, body surface area (BSA), body mass index (BMI)and patellar chondromalacia classification.
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Key Findings & Data:All measurements were completed with 3T magnetic resonance imaging (MRI).
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Conclusion & Impact:When IFP measurements were corrected using individual BMI and BSA values, a positive correlationwas found between control and advanced chondromalacia groups (P ˂ 0.001).Conclusion: This study demonstrates the relationship among obesity, IMT and chondromalacia and highlights this potential circle todevelop effective treatments and inhibit the progression of chondromalacia.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Background/aim: Evaluating the relationship of patellar chondromalacia with obesity, infrapatellar fat pad (IFP) volume and poplitealartery intima-media thickness (IMT).Materials and methods: A total of 203 patients with different degree of patellar chondromalacia (103 male, 100 female) and 52 controlsubjects (19 male, 33 female) were included and grouped according to sex, age, body surface area (BSA), body mass index (BMI)and patellar chondromalacia classification. All measurements were completed with 3T magnetic resonance imaging (MRI). Articularcartilage and IFP volume were measured in saggital plane using double echo steady state (DESS) and DIXON sequences, respectively.Patellar cartilage damage was graded using modified outerbridge classification, and the relations among cartilage volume and BMI, BSA,IFP, IMT were statistically assessed.Results: Popliteal artery IMT showed an independent association with the prevalence of cartilage defects and IFP volumes (P ˂ 0.001).There was an association between BMI and IFP volumes (P ˂ 0.001). However, no differences were observed between IFP volume anddifferent chondromalacia groups. When IFP measurements were corrected using individual BMI and BSA values, a positive correlationwas found between control and advanced chondromalacia groups (P ˂ 0.001).Conclusion: This study demonstrates the relationship among obesity, IMT and chondromalacia and highlights this potential circle todevelop effective treatments and inhibit the progression of chondromalacia.

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Cite This Article

UÇAR, M., KURT, M., KURT, S. A., ÖNER, A. Y. (2022). The relationship between patellofemoral arthritis and fat tissue volume, body mass index and popliteal artery intima-media thickness through 3T knee MRI. Turkish Journal of Medical Sciences, Cilt: 49 - Sayı: 3, 844–853. https://ajindex.com/articles/612793

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References (12)

  1. Eymard F, Pigenet, A, Citadelle D, Flouzat-Lachaniette CH, Poignard A, Benelli C, Berenbaum F, Chevalier X, Houard X. Induction of an inflammatory and prodegradative phenotype in autologous fibroblast-like synoviocytes by the infrapatellar fat pad from patients with knee osteoarthritis. Arthritis Rheumatology 2014; 66 (8): 2165-2174
  2. Masaki T, Takahashi K, Hashimoto S, Ikuta F, Watanabe A, Kiuchi S, Okuaki T, Mochizuki Y, Takai S. Volume change in infrapatellar fat pad is associated not with obesity but with cartilage degeneration. Journal of Orthopaedic Research 2019; 37 (3): 593-600
  3. Clockaerts S, Bastiaansen-Jenniskens YM, Runhaar J, Van Osch GJ, Van Offel JF, Verhaar JA, De Clerk LS, Somville J. The infrapatellar fat pad should be considered as an active osteoarthritic joint issue: a narrative review. Osteoarthritis and Cartilage 2010; 18 (7): 876-882
  4. Kornaat PR, Sharma R, van der Geest RJ, Lamb HJ, Kloppenburg M, Heillo le Graverand MP, Bloem JL, Watt I. Positive association between increased popliteal artery vessel wall thickness and generalized osteoarthritis: is OA also part of the metabolic syndrome? Skeletal Radiology 2009; 38 (12): 1147-1151
  5. Nakamura T. Visceral fat and risk factors for atherosclerosis. Internal Medicine 2004; 43 (12): 1095-1096
  6. Ohman MK, Wright AP, Wickenheiser KJ, Luo W, Eitzman DT. Visceral adipose tissue and atherosclerosis. Current Vascular Pharmacology 2009; 7 (2): 169-179
  7. Chuckpaiwong B, Charles HC, Kraus VB, Guilak F, Nunley JA. Age-associated increases in the size of the infrapatellar fat pad in knee osteoarthritis as measured by 3T MRI. Journal of Orthopaedic Research 2010; 28 (9): 1149-1154
  8. Curl WW, Krome J, Gordon ES, Rushing J, Smith BP, Poehling GG. Cartilage injuries: a review of 31,516 knee arthroscopies. Arthroscopy 1997; 13 (4): 456-460
  9. Jungius KP, Schmid MR, Zanetti M, Hodler J, Koch P, Pfirrmann CW. Cartilaginous defects of the femorotibial joint: accuracy of coronal short inversion time inversion-recovery MR sequence. Radiology 2006; 240 (2): 482-488
  10. Baysal O, Baysal T, Alkan A, Altay Z, Yologlu S. Comparison of MRI graded cartilage and MRI based volume measurement in knee osteoarthritis. Swiss Medical Weekly 2004; 134 (19-20): 283-288
  11. Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P. SENSE: Sensitivity encoding for fast MRI. Magnetic Resonance in Medicine. 1999; 42 (5): 952-962
  12. Ma J, Singh SK, Kumar AJ, Leeds NE, Broemeling LD. Method for efficient fast spi