ArticleScientific reports2022
Cartilage thickness and bone shape variations as a function of sex, height, body mass, and age in young adult knees.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 33 citations in OpenAlex.
- Lateral patellar compression syndromeQuantitative imaging in medicine and surgery · 2026Article
- Investigation of Anatomical and Morphological Variations in the Femur of a Chinese Population Using Statistical Shape Model.Orthopaedic surgery · 2026Article
- Preliminary study on ultrasound-based quantitative assessment of epiphyseal ossification angle for bone age evaluation in children.Quantitative imaging in medicine and surgery · 2026Article
- Higher Prevalence of Sarcopenia in Knee Osteoarthritis and Its Association with Femoral Intercondylar Cartilage Thickness and Functional Outcomes.Life (Basel, Switzerland) · 2025Article
- A study on the diagnostic value of knee MRI parameters for lateral patellar compression syndrome: clinical application of P-PTA, LP and ISR.Quantitative imaging in medicine and surgery · 2025Article
- Cartilage thickness distribution and its dependence on demographic, radiographic, and MRI structural pathology in knee osteoarthritis-data from the IMI-APPROACH cohort.Skeletal radiology · 2025Article
- Validation of Articular Cartilage Depth in Total Knee Arthroplasty.Arthroplasty today · 2025Article
- Morphometric assessment of the patella in healthy, chondromalacia and meniscopathy individuals: a retrospective study.BMC musculoskeletal disorders · 2025Article
- Relationship Between Sarcopenia, Femoral Cartilage Thickness, and Knee Osteoarthritis: Case-Control Study.International journal of rheumatic diseases · 2025Article
- [Biomechanical study of knee joint based on coronal plane alignment of the knee].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2024Article
- Unraveling sex-specific risks of knee osteoarthritis before menopause: Do sex differences start early in life?Osteoarthritis and cartilage · 2024Review
- Factors influencing diffusion tensor imaging of knee cartilage in children ages 6-12 years: a prospective study.Pediatric radiology · 2024Article
- Branched poly-l-lysine for cartilage penetrating carriers.Bioengineering & translational medicine · 2024Article
- Causal relationship between modifiable risk factors and knee osteoarthritis: a Mendelian randomization study.Frontiers in medicine · 2024Article
- Article
- Personalized statistical modeling of soft tissue structures in the knee.Frontiers in bioengineering and biotechnology · 2023Article
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3 authors at 1 institution in 1 country.
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Abstract
The functional relationship between bone and cartilage is modulated by mechanical factors. Scarce data exist on the relationship between bone shape and the spatial distribution of cartilage thickness. The aim of the study was to characterise the coupled variation in knee bone morphology and cartilage thickness distributions in knees with healthy cartilage and investigate this relationship as a function of sex, height, body mass, and age. MR images of 51 knees from young adults (28.4 ± 4.1 years) were obtained from a previous study and used to train a statistical shape model of the femur, tibia, and patella and their cartilages. Five multiple linear regression models were fitted to characterise morphology as a function of sex, height, body mass, and age. A logistic regression classifier was fitted to characterise morphological differences between males and females, and tenfold cross-validation was performed to evaluate the models' performance. Our results showed that cartilage thickness and its distribution were coupled to bone morphology. The first five shape modes captured over 90% of the variance and described coupled changes to the bone and spatial distribution of cartilage thickness. Mode 1 (size) was correlated to sex (p < 0.001) and height (p < 0.0001). Mode 2 (aspect ratio) was also correlated to sex (p = 0.006) and height (p = 0.017). Mode 4 (condylar depth) was correlated to sex only (p = 0.024). A logistic regression model trained on modes 1, 2, and 4 could classify sex with an accuracy of 92.2% (95% CI [81.1%, 97.8%]). No other modes were influenced by sex, height, body mass, or age. This study demonstrated the coupled relationship between bone and cartilage, showing that cartilage is thicker with increased bone size, diaphysis size, and decreased femoral skew. Our results show that sex and height influence bone shape and the spatial distribution of cartilage thickness in a healthy young adult population, but body mass and age do not.
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