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
윤용우 (서울송도병원) 정홍윤 (서울송도병원) 박덕훈 (서울송도병원) 이종균 (서울송도병원)
저널정보
대한대장항문학회 Annals of Coloproctology Annals of Coloproctolgy Vol.37 No.5
발행연도
2021.10
수록면
291 - 297 (7page)
DOI
10.3393/ac.2020.01095.0156

이용수

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

초록· 키워드

오류제보하기
Purpose: The purpose of this study was to determine whether levator ani deficiency (LAD) scores and minimal levator hiatus (MLH) areas affect Pelvic Organ Prolapse Quantification (POP-Q) stage.Methods: This study was a retrospective chart review of patients with pelvic organ prolapse (POP) at Seoul Songdo Hospital between August 2019 and August 2020. Three-dimensional (3D) pelvic floor ultrasound, preoperative anal manometry, and other physiological tests were performed in 78 patients with POP symptoms. We divided the patients into mild prolapse and severe prolapse groups based on the POP-Q. We examined the LAD and MLH areas. LAD scores were categorized as mild, moderate, or severe.Results: There were 32 patients (41.0%) in the mild prolapse group (POP-Q stage I and II) and 46 (59.0%) in the severe prolapse group (POP-Q stage III and IV). The mean LAD score was significantly higher in severe prolapse group (13.33±2.49 vs. 8.19±2.92, P<0.001), and the rate of severe deficiency was also significantly higher in the severe prolapse group (29 [63.0%] vs. 2 [6.3%], P<0.001). The mean MLH was also significantly larger in the severe prolapse group (17.91±2.74 cm2 vs. 14.95±2.60 cm2, P<0.001). In addition, both MLH and LAD scores tended to increase at each stage.Conclusion: There is a strong positive correlation between the POP-Q stage and the MLH and LAD scores that can be seen on 3D pelvic floor ultrasound. The findings of this study, by objectively demonstrating LAD and MLH in women with POP, are an important contribution to POP.

목차

등록된 정보가 없습니다.

참고문헌 (37)

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