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Rugină AI, Ungureanu A, Giuglea C, Marinescu SA. Artificial Intelligence in Breast Reconstruction: A Narrative Review. MEDICINA (KAUNAS, LITHUANIA) 2025; 61:440. [PMID: 40142251 PMCID: PMC11944005 DOI: 10.3390/medicina61030440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2025] [Revised: 02/20/2025] [Accepted: 02/27/2025] [Indexed: 03/28/2025]
Abstract
Breast reconstruction following mastectomy or sectorectomy significantly impacts the quality of life and psychological well-being of breast cancer patients. Since its inception in the 1950s, artificial intelligence (AI) has gradually entered the medical field, promising to transform surgical planning, intraoperative guidance, postoperative care, and medical research. This article examines AI applications in breast reconstruction, supported by recent studies. AI shows promise in enhancing imaging for tumor detection and surgical planning, improving microsurgical precision, predicting complications such as flap failure, and optimizing postoperative monitoring. However, challenges remain, including data quality, safety, algorithm transparency, and clinical integration. Despite these shortcomings, AI has the potential to revolutionize breast reconstruction by improving preoperative planning, surgical precision, operative efficiency, and patient outcomes. This review provides a foundation for further research as AI continues to evolve and clinical trials expand its applications, offering greater benefits to patients and healthcare providers.
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Affiliation(s)
- Andrei Iulian Rugină
- Department of Plastic and Reconstructive Surgery, “Bagdasar-Arseni” Emergency Hospital, University of Medicine and Pharmacy “Carol Davila”, Blvd. Eroii Sanitari Nr. 8, Sector 5, 050474 Bucharest, Romania; (A.I.R.); (S.A.M.)
| | - Andreea Ungureanu
- Department of Plastic and Reconstructive Surgery, “Bagdasar-Arseni” Emergency Hospital, University of Medicine and Pharmacy “Carol Davila”, Blvd. Eroii Sanitari Nr. 8, Sector 5, 050474 Bucharest, Romania; (A.I.R.); (S.A.M.)
| | - Carmen Giuglea
- Department of Plastic and Reconstructive Surgery, University of Medicine and Pharmacy “Carol Davila”, Blvd. Eroii Sanitari Nr. 8, Sector 5, 050474 Bucharest, Romania;
| | - Silviu Adrian Marinescu
- Department of Plastic and Reconstructive Surgery, “Bagdasar-Arseni” Emergency Hospital, University of Medicine and Pharmacy “Carol Davila”, Blvd. Eroii Sanitari Nr. 8, Sector 5, 050474 Bucharest, Romania; (A.I.R.); (S.A.M.)
- Department of Plastic and Reconstructive Surgery, University of Medicine and Pharmacy “Carol Davila”, Blvd. Eroii Sanitari Nr. 8, Sector 5, 050474 Bucharest, Romania;
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King BW, McCarter JH, Burns HR, Soleimani S, Maricevich MA, Yu JZ. Robotics in Implant-Based and Autologous Breast Reconstruction. Semin Plast Surg 2023; 37:168-175. [PMID: 38444960 PMCID: PMC10911900 DOI: 10.1055/s-0043-1771235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Autologous and implant-based breast reconstruction continues to evolve as new technology and mastectomy techniques become available. Robotic-assisted breast reconstruction represents a growing field within plastic surgery, with the potential to improve aesthetic and functional outcomes, as well as patient satisfaction. This article provides a review of indications, techniques, and outcome data supporting the use of robotic assistance in both implant-based and autologous breast reconstruction from surgeons around the world.
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Affiliation(s)
- Brody W. King
- Michael E. DeBakey Department of Surgery, Division of Plastic Surgery, Baylor College of Medicine, Houston, Texas
- Division of Plastic Surgery, Texas Children's Hospital, Houston, Texas
| | - Jacob H. McCarter
- Michael E. DeBakey Department of Surgery, Division of Plastic Surgery, Baylor College of Medicine, Houston, Texas
- Division of Plastic Surgery, Texas Children's Hospital, Houston, Texas
| | - Heather R. Burns
- Michael E. DeBakey Department of Surgery, Division of Plastic Surgery, Baylor College of Medicine, Houston, Texas
- Division of Plastic Surgery, Texas Children's Hospital, Houston, Texas
| | | | - Marco A. Maricevich
- Michael E. DeBakey Department of Surgery, Division of Plastic Surgery, Baylor College of Medicine, Houston, Texas
- Division of Plastic Surgery, Texas Children's Hospital, Houston, Texas
| | - Jessie Z. Yu
- Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Park KU, Cha C, Pozzi G, Kang YJ, Gregorc V, Sapino A, Gazzetta G, Marrazzo E, Toesca A. Robot-assisted Nipple Sparing Mastectomy: Recent Advancements and Ongoing Controversies. CURRENT BREAST CANCER REPORTS 2023; 15:127-134. [PMID: 37293274 PMCID: PMC10133895 DOI: 10.1007/s12609-023-00487-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2023] [Indexed: 06/10/2023]
Abstract
Purpose of review The purpose of this review is to summarize the recent technical advancements in RNSM, describe the ongoing teaching programs, and discuss the ongoing controversies. Recent findings Robot-assisted nipple sparing mastectomy (RNSM) is the newest addition to the armamentarium of surgical techniques for patients who require a mastectomy. The potential benefits of using the da Vinci® Robotic Surgical System (Intuitive Surgical, Sunnyvale, CA) are the small 3D camera and lighting offering superior visualization, the Endowrist robotic instruments offering greater range of motion, and surgeon being at a seated position at the console rendering a more ergonomic operating position. Summary RNSM can potentially help overcome the technical difficulties of performing a conventional NSM. Further studies are needed to elucidate the oncologic safety and cost-effectiveness of RNSM.
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Affiliation(s)
- Ko Un Park
- Division of Breast Surgery, Department of Surgery, Brigham and Women’s Hospital, Breast Oncology Program, Dana-Farber Brigham Cancer Center, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215 USA
- Division of Surgical Oncology, Department of Surgery, The Ohio State University James Comprehensive Cancer Center, Columbus, OH USA
| | - Chihwan Cha
- Department of Surgery, Hanyang University Seoul Hospital, Seoul, Republic of Korea
| | - Giada Pozzi
- Division of Breast Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo (To), Italy
| | - Young-Joon Kang
- Department of Surgery, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Incheon, Republic of Korea
| | - Vanesa Gregorc
- Department of Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo (To), Italy
| | - Anna Sapino
- Unit of Pathology, Candiolo Cancer Institute, FPO-IRCCS, Department of Medical Science, University of Turin, Turin, Italy
| | - Guglielmo Gazzetta
- Division of Breast Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo (To), Italy
| | - Emilia Marrazzo
- Breast Unit, Department of Surgery, Ospedale Maggiore Di Lodi, Lodi, Italy
| | - Antonio Toesca
- Division of Breast Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo (To), Italy
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Robot-Assisted Minimally Invasive Breast Surgery: Recent Evidence with Comparative Clinical Outcomes. J Clin Med 2022; 11:jcm11071827. [PMID: 35407434 PMCID: PMC8999956 DOI: 10.3390/jcm11071827] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 03/19/2022] [Accepted: 03/23/2022] [Indexed: 12/24/2022] Open
Abstract
In recent times, robot-assisted surgery has been prominently gaining pace to minimize overall postsurgical complications with minimal traumatization, due to technical advancements in telerobotics and ergonomics. The aim of this review is to explore the efficiency of robot-assisted systems for executing breast surgeries, including microsurgeries, direct-to-implant breast reconstruction, deep inferior epigastric perforators-based surgery, latissimus dorsi breast reconstruction, and nipple-sparing mastectomy. Robot-assisted surgery systems are efficient due to 3D-based visualization, dexterity, and range of motion while executing breast surgery. The review describes the comparative efficiency of robot-assisted surgery in relation to conventional or open surgery, in terms of clinical outcomes, morbidity rates, and overall postsurgical complication rates. Potential cost-effective barriers and technical skills were also delineated as the major limitations associated with these systems in the clinical sector. Furthermore, instrument articulation of robot-assisted surgical systems (for example, da Vinci systems) can enable high accuracy and precision surgery due to its promising ability to mitigate tremors at the time of surgery, and shortened learning curve, making it more beneficial than other open surgery procedures.
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