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
인문학
인문학 일반 역사학 철학 종교학 어문학 기타 인문학
사회과학
사회과학 일반 경영학 관광학 교육학 군사학 문헌정보학 법학 사회학 신문방송학 심리과학 정치외교학 지리학 행정학 경제학 무역학 인류학 기타 사회과학
자연과학
자연과학 일반 물리학 생물학 생활과학 수학·통계학 천문학 지구과학 화학 기타 자연과학
공학
공학 일반 건축공학 기계공학 산업공학 재료·에너지공학 전기전자공학 조선해양공학 화학공학 컴퓨터학 기타공학
의약학
의학 일반 간호학 수의학 약학 한의학 기초의학 임상의학 기타 의약학
농수해양학
농수해양학 일반 농학 수산학 식품과학 임학 축산학 해상운송학 기타 농수해양학
예술체육학
예술 일반 디자인 미술 미용 사진 음악학 의상 체육 공연매체예술 기타 예술체육학
복합학
학제간연구 과학기술학 뇌인지과학 기술정책 기타 복합학

ENG

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Peter B. Sporns (Department of Neuroradiology Clinic of Radiology & Nuclear Medicine University Hospital Basel B) Marco Höhne (Department of Radiology University Hospital of Münster Westfaelische Wilhelms-University of Münster) Lennart Meyer (Department of Neurology with Institute of Translational Neurology University of Münster Münster Ger) Christos Krogias (Department of Neurology St. Josef-Hospital Ruhr University Bochum Bochum Germany) Volker Puetz (Department of Neurology University Hospital Carl Gustav Carus Dresden Germany) Kolja M. Thierfelder (Department of Radiology and Institute of Diagnostic and Interventional Radiology University Medical) Marco Duering (Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering University of Basel B) Daniel Kaiser (Neurovascular Center Dresden, University Hospital Carl Gustav Carus, Dresden, Germany) Sönke Langner (Department of Radiology and Institute of Diagnostic and Interventional Radiology University Medical) Alex Brehm (Department of Neuroradiology Clinic of Radiology & Nuclear Medicine University Hospital Basel B) Lukas T. Rotkopf (Department of Radiology German Cancer Research Center Heidelberg Germany) Wolfgang G. Kunz (Department of Radiology University Hospital LMU Munich Munich Germa) Jens Fiehler (Department of Diagnostic and Interventional Neuroradiology University Medical Center Hamburg-Eppend) Walter Heindel (Department of Radiology, University Hospital of Munster, Westfaelische Wilhelms-University of Munst) Peter Schramm (Department of Neuroradiology University Medical Center Schleswig-Holstein Lübeck Germany) Heinz Wiendl (Department of Neurology with Institute of Translational Neurology University of Münster Münster Ger) Heike Minnerup (Institute of Epidemiology and Social Medicine University of Münster Münster Germany) Marios Nikos Psychogios (Department of Neuroradiology Clinic of Radiology & Nuclear Medicine University Hospital Basel B) André Kemmling (Department of Diagnostic and Interventional Neuroradiology University Medical Center Marburg Marbur) Jens Minnerup (Department of Neurology with Institute of Translational Neurology, University of Munster, Munster,)
저널정보
대한뇌졸중학회 대한뇌졸중학회지 대한뇌졸중학회지 제24권 제3호
발행연도
2022.9
수록면
390 - 395 (6page)

이용수

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

초록· 키워드

오류제보하기
Background and Purpose Many patients with stroke cannot receive intravenous thrombolysis because the time of symptom onset is unknown. We tested whether a simple method of computed tomography (CT)-based quantification of water uptake in the ischemic tissue can identify patients with stroke onset within 4.5 hours. Methods This retrospective analysis of the MissPerfeCT study (August 2009 to November 2017) includes consecutive patients with known onset of symptoms from seven tertiary stroke centers. We developed a simplified algorithm based on region of interest (ROI) measurements to quantify water uptake of the ischemic lesion and thereby quantify time of symptom onset within and beyond 4.5 hours. Perfusion CT was used to identify ischemic brain tissue, and its density was measured in non-contrast CT and related to the density of the corresponding area of the contralateral hemisphere to quantify lesion water uptake. Results Of 263 patients, 204 (77.6%) had CT within 4.5 hours. Water uptake was significantly lower in patients with stroke onset within (6.7%; 95% confidence interval [CI], 6.0% to 7.4%) compared to beyond 4.5 hours (12.7%; 95% CI, 10.7% to 14.7%). The area under the curve for distinguishing these patient groups according to percentage water uptake was 0.744 with an optimal cut-off value of 9.5%. According to this cut-off the positive predictive value was 88.8%, sensitivity was 73.5%, specificity 67.8%, negative predictive value was 42.6%. Conclusions Ischemic stroke patients with unknown time of symptom onset can be identified as being within a timeframe of 4.5 hours using a ROI-based method to assess water uptake on admission non-contrast head CT.
#Stroke #Brain ischemia #Ischemic stroke

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청
참고문헌이 DBpia에서 서비스 중이라면, [참고문헌 신청]을 통해 등록해보세요

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