ArticlePlastic and reconstructive surgery. Global open2019
Computerized Approach to Facial Transplantation: Evolution and Application in 3 Consecutive Face Transplants.
Article in Plastic and reconstructive surgery. Global open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Maximizing Neurovascular Outcomes of Facial Transplantation: A Comprehensive Review.Clinical anatomy (New York, N.Y.) · 2026Review
- A Decade of Innovation: A 10-year Institutional Review of Advancements in Vascularized Composite Allotransplantation.Plastic and reconstructive surgery. Global open · 2026Article
- Computerized Surgical Planning in Face Transplantation.Seminars in plastic surgery · 2024Review
- Re-cognizing the new self: The neurocognitive plasticity of self-processing following facial transplantation.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Validating a Novel Device to Improve Skin Color Matching for Face Transplants.Plastic and reconstructive surgery. Global open · 2022Article
- Face Transplant: Indications, Outcomes, and Ethical Issues-Where Do We Stand?Journal of clinical medicine · 2022Review
- The 2020 Facial Transplantation Update: A 15-Year Compendium.Plastic and reconstructive surgery. Global open · 2021Article
- Anesthetic Considerations in Facial Transplantation: Experience at NYU Langone Health and Systematic Review.Plastic and reconstructive surgery. Global open · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Face transplant (FT) candidates present with unique anatomic and functional defects unsuitable for autologous reconstruction, making the accurate design and transplantation of patient-specific allografts particularly challenging. In this case series, we present our computerized surgical planning (CSP) protocol for FT.
methodsCSP, computer-aided design and manufacturing, intraoperative navigation, and intraoperative computerized tomography have been successfully incorporated into a comprehensive protocol. Three consecutive FTs were performed. CSP and postoperative results were compared using computerized tomography-derived cephalometric measurements, and the literature was reviewed.
resultsTwo full and 1 partial FT were successfully performed using the CSP protocol. CSP facilitated the execution of FT with minor angular and translational cephalometric variations on immediate postoperative imaging. Our evolving experience was accompanied by a decreased reliance on cadaveric simulation, from 10 mock transplants and a research procurement before the senior author's first clinical FT (2012) to 6 mock transplants and no research procurement before the third FT (2018). Operative time was significantly reduced from 36 to 25 hours, as was the need for major orthognathic surgical revision. This reflects the learning curve and variable case complexity, but it is also representative of improved planning and execution, complemented by the systematic incorporation of CSP into FT.
conclusionsA CSP protocol allows for refinement of operative flow, technique, and outcomes in partial and full FT. Standards for functional and esthetic outcomes are bound to evolve with the field's growth, and computerized planning and execution offer a reproducible approach to FT through objective quality assurance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.