Simone La Padula1, Barbara Hersant2, Harold Chatel2, Paola Aguilar2, Romain Bosc2, Giovanni Roccaro2, Robin Ruiz2, Jean Paul Meningaud2. 1. Department of Plastic, Reconstructive, Aesthetic and Maxillofacial Surgery, Henri Mondor Hospital, 51 avenue du Maréchal de Lattre de Tassigny, Créteil 94010, France. Electronic address: drsimonelapadula@gmail.com. 2. Department of Plastic, Reconstructive, Aesthetic and Maxillofacial Surgery, Henri Mondor Hospital, 51 avenue du Maréchal de Lattre de Tassigny, Créteil 94010, France.
Abstract
BACKGROUND: The availability of more accurate techniques used for transgender surgery has resulted in an increased number of patients requesting facial feminization surgery (FFS). The aim of this study was to present the FFS pre-operative planning of the authors' male-to-female transsexual patients using photo-editing software, computer-aided design (CAD), modeling, and three-dimensional (3D) printing. MATERIAL AND METHODS: Twenty-five patients underwent FFS between November 2015 and May 2018. They were retrospectively included in this study, and their records were analyzed. Patients' 3D facial models were printed and used for an accurate preoperative planning and shown to the patients. To assess patient satisfaction, the preoperative, six-month, and one-year postoperative scores obtained using Satisfaction With Life Scale (SWLS) and Subjective Happiness Scale (SHS) were compared. The scores following a normal distribution obtained for each patient were compared using a paired t-test. RESULTS: The 3D model preparation mean time was 145±13.2 min. A total of 114 surgical procedures were carried out. The mean operative time was 420±23 min. Patients experienced no postoperative complication. All patients were very satisfied after surgery, with a significant difference between pre- and postoperative scores (p = 0.002; p = 0.03). CONCLUSION: With use of 3D modeling, surgeons are nearing a custom-made surgery era, especially required for complex procedures such as FFS. We suggest using 3D technology for a more accurate preoperative planning.
BACKGROUND: The availability of more accurate techniques used for transgender surgery has resulted in an increased number of patients requesting facial feminization surgery (FFS). The aim of this study was to present the FFS pre-operative planning of the authors' male-to-female transsexual patients using photo-editing software, computer-aided design (CAD), modeling, and three-dimensional (3D) printing. MATERIAL AND METHODS: Twenty-five patients underwent FFS between November 2015 and May 2018. They were retrospectively included in this study, and their records were analyzed. Patients' 3D facial models were printed and used for an accurate preoperative planning and shown to the patients. To assess patient satisfaction, the preoperative, six-month, and one-year postoperative scores obtained using Satisfaction With Life Scale (SWLS) and Subjective Happiness Scale (SHS) were compared. The scores following a normal distribution obtained for each patient were compared using a paired t-test. RESULTS: The 3D model preparation mean time was 145±13.2 min. A total of 114 surgical procedures were carried out. The mean operative time was 420±23 min. Patients experienced no postoperative complication. All patients were very satisfied after surgery, with a significant difference between pre- and postoperative scores (p = 0.002; p = 0.03). CONCLUSION: With use of 3D modeling, surgeons are nearing a custom-made surgery era, especially required for complex procedures such as FFS. We suggest using 3D technology for a more accurate preoperative planning.
Authors: Simone La Padula; Rosita Pensato; Francesco D'Andrea; Ludovica de Gregorio; Concetta Errico; Umberto Rega; Luigi Canta; Chiara Pizza; Giovanni Roccaro; Raphaelle Billon; Endri Dibra; Jean Paul Meningaud; Barbara Hersant Journal: J Clin Med Date: 2022-06-16 Impact factor: 4.964
Authors: Abigail R Tirrell; Areeg A Abu El Hawa; Jenna C Bekeny; Brian L Chang; Gabriel Del Corral Journal: Plast Reconstr Surg Glob Open Date: 2022-03-17
Authors: Simone La Padula; Rosita Pensato; Chiara Pizza; Edoardo Coiante; Giovanni Roccaro; Benedetto Longo; Francesco D'Andrea; Francesco Saverio Wirz; Barbara Hersant; Jean Paul Meningaud Journal: J Clin Med Date: 2022-09-28 Impact factor: 4.964