ArticleQuantitative imaging in medicine and surgery2022
Assessment of facial autologous fat grafts using Dixon magnetic resonance imaging.
Article in Quantitative imaging in medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Utilization of facial fat grafting augmented reality guidance system in facial soft tissue defect reconstruction.Head & face medicine · 2024Trial
- Tracking Fat Grafts by Magnetic Resonance Imaging: A Comparative Study of Adolescent and Adult Patients with Stable Localized Scleroderma.Plastic and reconstructive surgery · 2025Article
- Damage evaluation of craniofacial localized scleroderma using magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2024Article
- Bony Hyperplasia Beneath Atrophic Soft Tissue: A Rare Case of En Coup de Sabre and Literature Review.Clinical, cosmetic and investigational dermatology · 2023Article
- A Pilot Study of Synergistic Autologous Fat Grafting and Dermal Transplants in Progressive Hemifacial Atrophy.The Journal of craniofacial surgeryArticle
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Autologous fat grafting is a procedure that treats soft tissue defects by reallocating fat to improve a patient's physical appearance. Imaging methods may be used to evaluate and monitor the grafted fat after transplantation. The goal of imaging is to examine the signal and volume of the grafted fat after autologous fat grafting during the adipose tissue recovery. However, researchers have yet to examine the feasibility of using fat-only imaging to assess the autologous fat graft. Methods: In this prospective and observational study, 46 injected sides in 23 female patients (age 35±7.8 years) were included in the image evaluation. The patients underwent autologous fat grafting surgery with filtered and washed fat. A total of 16, 18, and 12 sides were scanned 7 days, 3 months, and 1 year after fat grafting, respectively. Fat-only images were obtained using Dixon imaging, and then the image quality and contrast of the T1W and T2W were rated to evaluate the application of this method when imaging the autologous fat. The signal and volume of the autologous fat graft were recorded to assess the retention during recovery of the autologous fat tissue. Results: Fat-only T1W magnetic resonance imaging (MRI) was used to identify and delineate grafted fat because this method had better image quality and image differentiation than did T2W MRI. The average signal contrast and retention rate measured 7 days postoperation (28.8%±4.7%; 94.1%±5.8%) was the highest and then decreased at 3 months (16.3%±2.1%; 48.7%±17.3%) and 1 year (3.3%±1.3%, 33.1%±12.9%) after surgery. There were statistically significant differences between the signal and volume retention measurements at each postoperative recovery phase. Conclusions: The T1W fat-only images produced by Dixon MRI is a feasible approach for identifying grafted fat and measure postoperative changes during clinical evaluation. We found a significant decrease in signal contrast and volume of the grafted fat from the surgery date to 3 months postoperation and from 3 months to 1-year postoperation.
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