Impact of Robotic Surgery on Oncologic Treatment: Literature Review
Robotic surgery has become one of the most promising innovations in surgical oncology, providing magnified three-dimensional visualization, seven-degree-of-freedom articulated instrumentation, and physiologic tremor elimination, which together enable more delicate dissections in restricted anatomical fields. Randomized trials and cohort series report lower intra-operative blood loss, shorter hospital stays, and faster functional recovery when compared with conventional laparoscopy and open surgery. Robotic technology has also enabled more extensive lymphadenectomies and preservation of critical neurovascular structures, resulting in better postoperative quality of life, particularly for pelvic and mediastinal tumors. Nevertheless, evidence of oncologic superiority in terms of overall survival and recurrence remains inconsistent, requiring long-term follow-up and robust multicenter trials. Major barriers to wider adoption include the system’s initial cost, expensive maintenance, and the need for formal training with a prolonged learning curve factors that restrict access to economically advantaged centers of excellence. Finally, artificial intelligence, augmented reality, and high-latency teleoperation are emerging trends that could democratize robotics and mitigate current limitations. In conclusion, despite substantial proven advances, equitable adoption of robotic platforms will depend on cost reductions, expansion of training programs, and production of long-term oncologic effectiveness data.
Authors
- Manuel Gomes (ORCID: https://orcid.org/0000-0002-1428-1232)
- Alberto Rodrigues (ORCID: https://orcid.org/0000-0003-2603-0120)
- E M Colombo
- Daniella Serafin Couto Vieira (ORCID: https://orcid.org/0000-0003-0188-6010)
- Claudia Zanini (ORCID: https://orcid.org/0000-0002-3863-061X)
- Henrique Marques Dagostin
- Gabriella Barragan Baptista
- Ian Caldeira Ruppen (ORCID: https://orcid.org/0000-0003-1706-1662)
- Vitor Augusto Olivari do Carmo
- Antonio M. Cruz (ORCID: https://orcid.org/0000-0001-5804-1225)
- Róbson Willian Bobrownik de Oliveira (ORCID: https://orcid.org/0009-0009-1523-8963)
- M Tamura
- Rafael Vianna Tavares Gurgel
- Isabela Viana Veronez
- Pedro Henrique Rodrigues Flamengo
- Heloise de Arruda
- João Vitor Franzoi Biscaia
- Jerdal Micael Quilla Morsoletto
- Pedro Gabriel Graminha Mazo
- Emily Eduarda Hellmann
- Amanda Maia Porcinelli
- Barbara Medeiros Reggioli
Publication Details
- Journal
- Journal of Medical Research and Surgery
- Published
- 2025-05-26
- DOI
- https://doi.org/10.52916/jmrs254172
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00