ID | 66992 |
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Okazaki, Mikio
Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Suzawa, Ken
Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
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Shien, Kazuhiko
Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
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Hashimoto, Kohei
Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Tanaka, Shin
Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Miyoshi, Kentaroh
Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
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Yamamoto, Hiromasa
Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
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Sugimoto, Seiichiro
Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
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Toyooka, Shinichi
Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
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Abstract | Purposes Robot-assisted thoracoscopic (RATS) segmentectomy is becoming increasingly common because of the expanded indications for segmentectomy and the widespread adoption of robotic surgery. The precise division of the intersegmental plane is necessary to ensure oncologic margins from the tumor and to preserve the lung function. In this study, we present a strategy for accurately dividing the intersegmental plane using a robotic stapler and review the surgical outcomes.
Methods RATS portal segmentectomy was performed using the Da Vinci Xi system and the intersegmental plane was dissected using a robotic stapler. We evaluated the perioperative outcomes in 92 patients who underwent RATS portal segmentectomy between May 2020 and January 2023. These results were compared with those of 82 patients who underwent complete video-assisted thoracoscopic surgery (CVATS) during the same period. Results The operative and console times were 162 and 97 min, respectively. No intraoperative complications occurred, and postoperative complications were observed in four cases (4.3%). The operative time, blood loss, postoperative complications, and maximum incision size were significantly lower in the RATS group than in the CVATS group. However, RATS requires a significantly higher number of staplers than CVATS. Conclusions The division of the intersegmental plane using a robotic stapler in RATS portal segmentectomy was, therefore, found to be safe and effective. |
Keywords | Pulmonary segmentectomy
Robot-assisted thoracic surgery
Robotic segmentectomy
Robotic stapler
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Note | The version of record of this article, first published in Surgery Today, is available online at Publisher’s website: http://dx.doi.org/10.1007/s00595-024-02840-y
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Published Date | 2024-04-18
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Publication Title |
Surgery Today
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Volume | volume54
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Issue | issue11
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Publisher | Springer Science and Business Media LLC
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Start Page | 1319
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End Page | 1328
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ISSN | 0941-1291
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NCID | AA10824685
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Content Type |
Journal Article
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language |
English
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OAI-PMH Set |
岡山大学
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Copyright Holders | © The Author(s) 2024
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File Version | publisher
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Related Url | isVersionOf https://doi.org/10.1007/s00595-024-02840-y
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License | http://creativecommons.org/licenses/by/4.0/
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Citation | Okazaki, M., Suzawa, K., Shien, K. et al. Effective division of the intersegmental plane using a robotic stapler in robotic pulmonary segmentectomy. Surg Today 54, 1319–1328 (2024). https://doi.org/10.1007/s00595-024-02840-y
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Funder Name |
Okayama University
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