메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
배성욱 (계명대학교 의과대학 계명대학교 동산병원 외과)
저널정보
대한의사협회 대한의사협회지 대한의사협회지 제65권 제9호
발행연도
2022.9
수록면
577 - 585 (9page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Background: Robotic surgical systems were created partly to solve several constraints of laparoscopic surgery and to offer technical advantages. With a substantial body of evidence demonstrating its efficacy in rectal cancer treatment, robotic surgery will soon become another conventional treatment. However, further investigations and randomized trials focusing on primary endpoints are necessary to establish some advantages of robot assisted colon surgery. Current Concepts: Da Vinci Single-Site and SP platforms (Intuitive Surgical Inc.) were developed to overcome the shortcomings of single-port laparoscopic surgery. Despite the currently insufficient evidence, it seems that the SP platform addresses several limitations of single-port transabdominal or transanal surgery. Robotic transanal minimally invasive surgery and total mesorectal excision were developed to overcome conventional platforms’ limitations, using wristed instrumentation to enhance dexterity and ergonomics. Studies on the effectiveness and viability of this novel approach are ongoing. The near-infrared fluorescence technique, real-time stereotactic navigation technology, and other surgical data platforms based on artificial intelligence incorporated into the robotic system will play an important role in improving outcomes. Discussion and Conclusion: Robotic systems for advanced colorectal cancer offer technical advantages for complex and precise surgeries. If robotic surgery costs are reduced by expanding its indications and enhancing competition among different robotic platforms, it will provide clinical benefits to more patients and reduce social healthcare costs.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0