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
저널정보
대한산부인과학회 Obstetrics & Gynecology Science Obstetrics & Gynecology Science 제61권 제4호
발행연도
2018.1
수록면
477 - 488 (12page)

이용수

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

초록· 키워드

오류제보하기
ObjectiveThis study aimed to determine the factors affecting pathologic discrepancy and final diagnosis between colposcopicbiopsy and pathology by loop electrosurgical excision procedure (LEEP). MethodsBetween 2004 and 2016, 1,200 patients who underwent LEEP were enrolled for this study. 667 underwent cervicalcytology, human papillomavirus (HPV) test, colposcopic biopsy, and LEEP. We analyzed patient's age, menopausalstatus, number of delivery, abortion times, cervical cytology, number of punch biopsies, HPV type, LEEP, and intervalbetween colposcopic biopsy and LEEP. ResultsLogistic regression analysis of the final diagnosis showed that age 30.39 years and other high HPV group types wereassociated with cancer diagnosis, whereas atypical squamous cells cannot exclude high-grade squamous intraepitheliallesion (ASC-H), high-grade squamous intraepithelial lesion (HSIL), and HPV type 16 affected the diagnosis of cervicalintraepithelial neoplasia (CIN) 2. The overall concordance rate of histopathology between punch biopsy and LEEPwas 43.3%. The rates of detecting a more severe lesion by LEEP than those by biopsy were 23.1%. The rates of a lesssevere lesion detected by LEEP than those by biopsy were 33.6%. Factors related with biopsy underestimation were asfollows: <1 vaginal delivery, HSIL, number of punch biopsies and HPV type. Punch biopsy number is a unique factor ofbiopsy overestimation. ConclusionPatients with ASC-H, HSIL, and HPV type 16 may undergo conization immediately without colposcopic biopsy. Wesuggest that colposcopically directed 3 to 5 punch biopsies may be used to determine the need for conization.

목차

등록된 정보가 없습니다.

참고문헌 (33)

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