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Innovation in Facial Plastic and Aesthetic Surgery
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Innovation in Facial Plastic and Aesthetic Surgery

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Plastic, Reconstructive and Aesthetic Surgery/Aesthetic Medicine".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 6980

Special Issue Editors

Prof. Dr. Roberto Cuomo

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Guest Editor
UNISI, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
Interests: Plastic surgery; regeneration; wound healing; skin cancer; breast reconstruction; cosmetic surgery
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Simone La Padula

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Guest Editor
Department of Plastic and Reconstructive Surgery, Università degli studi di Napoli Federico II, Via Pansini 5, 80131 Napoli, Italy
Interests: platelet rich plasma; nanofat; DIEP flap; breast reconstruction; ALT flap; regenerative medicine; assessment scales; stretch marks; lipofilling; hidradenitis suppurativa
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Francesco D’Andrea

E-Mail Website
Guest Editor
Department of Plastic and Reconstructive Surgery, Università degli Studi di Napoli Federico II, Via Pansini 5, 80131 Napoli, Italy
Interests: regenerative medicine; aesthetic medicine; aesthetic surgery; breast surgery; tuberous breast
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Barbara Hersant

E-Mail Website
Guest Editor
Department of Plastic, Reconstructive and Maxillo Facial Surgery, Henri Mondor Hospital, University Paris XII, 51 Avenue du Maréchal de Lattre de Tassigny, 94000 Créteil, France
Interests: platelet rich plasma; nanofat; regenerative medicine; assessment scales; stretch marks; lipofilling; hidradenitis suppurativa; genitals
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jean Paul Meningaud

E-Mail Website
Guest Editor
Department of Plastic, Reconstructive and Maxillo Facial Surgery, Henri Mondor Hospital, University Paris XII, 51 Avenue du Maréchal de Lattre de Tassigny, 94000 Créteil, France
Interests: platelet rich plasma; nanofat; regenerative medicine; assessment scales; stretch marks; lipofilling; maxillofacial surgery; facelifts
Special Issues, Collections and Topics in MDPI journals
Prof. Gorizio Pieretti

E-Mail Website
Guest Editor
Department of Plastic, Reconstructive and Aesthetic Surgery, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Italy
Interests: plastic surgery; regeneration; wound healing; skin cancer; breast reconstruction; cosmetic surgery

Special Issue Information

Dear Colleagues,

We are pleased to announce a Topic on new insights and recent advancements in Facial Plastic and Aesthetic Surgery and Regenerative Medicine. The topic will cover innovations in plastic reconstructive aesthetic and maxillofacial surgery. We encourage all potential authors to contribute with papers demonstrating new applications and new findings concerning flaps and autologous fat grafts, facelifts, new facial reconstructive and cosmetic procedures and new strategies based on autologous and/or mini-invasive procedures, as well as regenerative strategies such as platelet-rich plasma (PRP), human follicle stem cells (HFSCs), human adipose tissue-derived follicle stem cells (H-AT-d-FSCs), adipose-derived mesenchymal stem cells (AD-MSCs), micro-needling technique (MN-T) fat grafting, and biomaterials. We also encourage to submit new research on microsurgery, composite tissue allotransplantation (face transplantation), Artificial Intelligence in facial aesthetic plastic surgery and tissue decellularization. Original articles or comprehensive review papers are welcome. Case reports and case series involving the above topics will also be considered. With the collaboration of all of us, this volume is bound to strengthen the field and stimulate further research.

Prof. Dr. Roberto Cuomo
Prof. Dr. Simone La Padula
Prof. Dr. Francesco D’Andrea
Prof. Dr. Barbara Hersant
Prof. Dr. Jean Paul Meningaud
Prof. Gorizio Pieretti
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • platelet rich plasma
  • nanofat
  • regenerative medicine
  • assessment scales
  • lipofilling
  • facelift
  • composite tissue allotransplantation (face transplantation)

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Published Papers (4 papers)

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10 pages, 2487 KiB  
Article
Facial Painting and 3D Stereophotogrammetric Analysis of Facial Dynamics: A Reliable Anatomical Educational Method
by Robin Pradel, Charles Savoldelli, Olina Rios, Philippe Kestemont and Barbara Lerhe
J. Clin. Med. 2024, 13(8), 2304; https://doi.org/10.3390/jcm13082304 - 16 Apr 2024
Viewed by 815
Abstract
(1) Background: Accurate knowledge of the dynamic anatomy of facial muscles is crucial for the use of functional and aesthetic botulinum toxin injections. We studied the reliability and relevance of facial painting as a pedagogic tool for the dynamic anatomy of facial [...] Read more.
(1) Background: Accurate knowledge of the dynamic anatomy of facial muscles is crucial for the use of functional and aesthetic botulinum toxin injections. We studied the reliability and relevance of facial painting as a pedagogic tool for the dynamic anatomy of facial muscles. (2) Methods: Different facial expressions were performed by a female model after a professional makeup artist applied makeup to the various facial muscles on her left hemiface. A 3D photograph was taken at the beginning and end of each movement using the VECTRA H2 Imaging System device. Cutaneous movements were visualized using displacement vectors. The correlation between the theoretical and dynamic positions of the makeup–muscle was assessed by two facial anatomy experts, thanks to a correlation scale. (3) Results: The overall average score for the 11 analyzed muscles or muscle groups was 3.36 out of 4, indicating a “strong” to “very strong” estimated correlation. There was a moderate agreement between Evaluator 1 and Evaluator 2 (ICC: 0.64; 95%CI: [0.244; 0.852]; p-value: 0.005). (4) Conclusions: The educational model with facial makeup provides an indirect but nonetheless precise and reliable representation of all facial muscles on the skin’s surface. It is presented as a reliable and reproducible method, which exhibits great potential as a teaching tool. Full article
(This article belongs to the Special Issue Innovation in Facial Plastic and Aesthetic Surgery)
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9 pages, 4480 KiB  
Article
Augmentation Rhinoplasty and Centrofacial Lipofilling: Our Experience (ARCL)
by Mirco Pozzi, Pietro Susini, Davide di Seclì, Michela Schettino, Luca Grimaldi, Roberto Cuomo and Carlos Weck Roxo
J. Clin. Med. 2024, 13(7), 1965; https://doi.org/10.3390/jcm13071965 - 28 Mar 2024
Viewed by 896
Abstract
Introduction: Augmentation rhinoplasty traditionally represents a serious challenge for plastic surgeons. The association with centrofacial lipofilling is a great approach to achieve harmonious, aesthetic results. The aim of this article is to describe our personal association between Augmentation Rhinoplasty and Centrofacial Lipofilling (ARCL) [...] Read more.
Introduction: Augmentation rhinoplasty traditionally represents a serious challenge for plastic surgeons. The association with centrofacial lipofilling is a great approach to achieve harmonious, aesthetic results. The aim of this article is to describe our personal association between Augmentation Rhinoplasty and Centrofacial Lipofilling (ARCL) in non-Caucasian patients. Materials and Methods: In this study, we retrospectively reviewed patients treated with ARCL at our institution between January 2019 and December 2023. We described our personal approach and technique. At a minimum follow-up time of one year, post-operative pictures were taken, and patients were reassessed, evaluating aspects such as global symmetry, shape and contour of the nose, and facial harmony and rejuvenation; finally, patients’ satisfaction was investigated according to the ROE questionnaire and the modified S-GAIS. Results: A total of 307 patients were included in the study. They reported a significant satisfactory aesthetic result in nasal image and facial harmony, as the mean postoperative ROE and S-GAIS score show. None of the grafts extruded or collapsed. Wounds healed without reported major infection. Conclusions: This study has demonstrated that ARCL is a safe approach that contributes to improve functional and aesthetic outcomes, has a high patient satisfaction rate, and limited post-operative complications. Full article
(This article belongs to the Special Issue Innovation in Facial Plastic and Aesthetic Surgery)
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12 pages, 24985 KiB  
Article
Using Generative Artificial Intelligence Tools in Cosmetic Surgery: A Study on Rhinoplasty, Facelifts, and Blepharoplasty Procedures
by Bryan Lim, Ishith Seth, Skyler Kah, Foti Sofiadellis, Richard J. Ross, Warren M. Rozen and Roberto Cuomo
J. Clin. Med. 2023, 12(20), 6524; https://doi.org/10.3390/jcm12206524 - 14 Oct 2023
Cited by 14 | Viewed by 3190
Abstract
Artificial intelligence (AI), notably Generative Adversarial Networks, has the potential to transform medical and patient education. Leveraging GANs in medical fields, especially cosmetic surgery, provides a plethora of benefits, including upholding patient confidentiality, ensuring broad exposure to diverse patient scenarios, and democratizing medical [...] Read more.
Artificial intelligence (AI), notably Generative Adversarial Networks, has the potential to transform medical and patient education. Leveraging GANs in medical fields, especially cosmetic surgery, provides a plethora of benefits, including upholding patient confidentiality, ensuring broad exposure to diverse patient scenarios, and democratizing medical education. This study investigated the capacity of AI models, DALL-E 2, Midjourney, and Blue Willow, to generate realistic images pertinent to cosmetic surgery. We combined the generative powers of ChatGPT-4 and Google’s BARD with these GANs to produce images of various noses, faces, and eyelids. Four board-certified plastic surgeons evaluated the generated images, eliminating the need for real patient photographs. Notably, generated images predominantly showcased female faces with lighter skin tones, lacking representation of males, older women, and those with a body mass index above 20. The integration of AI in cosmetic surgery offers enhanced patient education and training but demands careful and ethical incorporation to ensure comprehensive representation and uphold medical standards. Full article
(This article belongs to the Special Issue Innovation in Facial Plastic and Aesthetic Surgery)
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7 pages, 1229 KiB  
Brief Report
Enhanced Precision in Genioplasty: A Novel Intraoperative Spatial Repositioning Using Computer-Aided Design and Manufacturing Technology and a Holographic Mixed Reality Application
by Masahide Koyachi, Keisuke Sugahara, Kotaro Tachizawa, Akihiro Nishiyama, Kento Odaka, Satoru Matsunaga, Maki Sugimoto, Chie Tachiki, Yasushi Nishii and Akira Katakura
J. Clin. Med. 2023, 12(23), 7408; https://doi.org/10.3390/jcm12237408 - 29 Nov 2023
Cited by 2 | Viewed by 1297
Abstract
Genioplasty is performed for the orthognathic surgical correction of dentofacial deformities. This article reports a safe and accurate method for genioplasty combining a novel three-dimensional (3D) device with mixed reality (MR)-assisted surgery using a registration marker and a head-mounted display. Four types of [...] Read more.
Genioplasty is performed for the orthognathic surgical correction of dentofacial deformities. This article reports a safe and accurate method for genioplasty combining a novel three-dimensional (3D) device with mixed reality (MR)-assisted surgery using a registration marker and a head-mounted display. Four types of devices were designed based on the virtual operation: a surgical splint with a connector; an osteotomy device; a repositioning device; and a registration marker. Microsoft HoloLens 2 and Holoeyes MD were used to project holograms created using computed tomography (CT) data onto the surgical field to improve the accuracy of the computer-aided designed and manufactured (CAD/CAM) surgical guides. After making an incision on the oral vestibule, the splint was fitted on the teeth and the osteotomy device was mounted at the junction site, placed directly on the exposed mandible bone surface. Temporary screws were fixed into the screw hole. An ultrasonic cutting instrument was used for the osteotomy. After separating the bone, a repositioning device was connected to the splint junction and bone segment, and repositioning was performed. At the time of repositioning, the registration marker was connected to the splint junction, and mandible repositioning was confirmed three-dimensionally through HoloLens 2 into the position specified in the virtual surgery. The rate of overlay error between the preoperative virtual operation and one-month postoperative CT data within 2 mm was 100%. CAD/CAM combined with MR enabled accurate genioplasty. Full article
(This article belongs to the Special Issue Innovation in Facial Plastic and Aesthetic Surgery)
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