Le Fort–based, maxillofacial allotransplantation is a reconstructive alternative gaining clinical acceptance. However, the vast majority of single-jaw transplant recipients demonstrate less-than-ideal skeletal and dental relationships, with suboptimal aesthetic harmony. The purpose of this study was to investigate reproducible cephalometric landmarks in a large-animal model, where refinement of computer-assisted planning, intraoperative navigational guidance, translational bone osteotomies, and comparative surgical techniques could be performed.
Cephalometric landmarks that could be translated into the human craniomaxillofacial skeleton, and that would remain reliable following maxillofacial osteotomies with midfacial alloflap inset, were sought on six miniature swine. Le Fort I– and Le Fort III–based alloflaps were harvested in swine with osteotomies, and all alloflaps were either autoreplanted or transplanted. Cephalometric analyses were performed on lateral cephalograms preoperatively and postoperatively. Critical cephalometric data sets were identified with the assistance of surgical planning and virtual prediction software and evaluated for reliability and translational predictability.
Several pertinent landmarks and human analogues were identified, including pronasale, zygion, parietale, gonion, gnathion, lower incisor base, and alveolare. Parietale-pronasale-alveolare and parietale-pronasale–lower incisor base were found to be reliable correlates of sellion-nasion–A point angle and sellion-nasion–B point angle measurements in humans, respectively.
There is a set of reliable cephalometric landmarks and measurement angles pertinent for use within a translational large-animal model. These craniomaxillofacial landmarks will enable development of novel navigational software technology, improve cutting guide designs, and facilitate exploration of new avenues for investigation and collaboration.
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Baltimore, Bethesda, and Laurel, Md.; and Boston, Mass.
From the Departments of Plastic and Reconstructive Surgery and Radiology, Johns Hopkins University School of Medicine; Department of Otolaryngology–Head and Neck Surgery, Walter Reed National Military Medical Center; Harvard School of Dental Medicine, Department of Oral and Maxillofacial Surgery, Massachusetts General Hospital; Research and Engineering Development Department, Robotics and Autonomy Group, Johns Hopkins Applied Physics Laboratory; and Naval Postgraduate Dental School, 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center.
Received for publication August 29, 2013; accepted October 4, 2013.
The first three authors contributed equally to this study.
Disclosure: None of the authors has any conflicts of interest, commercial associations, or financial disclosures to report for this article. Outside funding from various grants was used for a portion of this study (for details, see Acknowledgments).
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Chad R. Gordon, D.O., Johns Hopkins University School of Medicine, The Johns Hopkins Hospital, 601 North Caroline Street, Baltimore, Md. 21287, email@example.com