Current status and future perspectives of robotic-assisted pancreatectomy
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- ISHIDO Keinosuke
- Department of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine
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- KIMURA Norihisa
- Department of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine
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- WAKIYA Taiichi
- Department of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine
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- NAGASE Hayato
- Department of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine
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- HAKAMADA Kenichi
- Department of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine
Bibliographic Information
- Other Title
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- ロボット支援下膵切除の現状と今後の課題
Description
<p>Robotic-assisted surgery is expected to be a technology that enables precise, safe, and minimally invasive surgery with its magnified stereoscopic visualization and multi-joint function. In distal pancreatectomy especially, the superiority of minimally invasive surgery over laparotomy in short-term outcomes has been demonstrated with a high level of evidence, and robotic-assisted surgery is expected to improve long-term outcomes through precision and avoiding laparotomy, as well as to expand its application to patients who have difficulty with laparoscopic surgery. However, pancreaticoduodenectomy has a probable advantage in reconstructive procedures compared to laparoscopic surgery, and evidence is now accumulating. As the treatment of advanced pancreatic cancer is undergoing a major shift toward multidisciplinary treatment with potent systemic chemotherapy, total neoadjuvant therapy, and pancreatic resection, sophisticated and minimally invasive robotic-assisted surgery is expected to be highly compatible with these strategies. In the future, clinical studies with a high level of evidence, including randomized controlled trials, are needed to verify the long-term oncologic outcomes.</p>
Journal
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- Suizo
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Suizo 36 (5), 293-300, 2021-10-30
Japan Pancreas Society
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Keywords
Details 詳細情報について
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- CRID
- 1390571395581720832
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- NII Article ID
- 130008112160
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- ISSN
- 18812805
- 09130071
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed