http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
윤순호,홍정희,황의진,김희경,임현주,서영주,김혜영,구진모 대한영상의학회 2019 대한영상의학회지 Vol.80 No.5
A low-dose chest CT is performed for early detection of lung cancer, but the CT scan frequently shows several incidental abnormalities. Identification of the incidental findings may enable early detection of diseases other than lung cancer, thereby improving the survival of the individual undergoing screening. However, insignificant incidental abnormalities may cause unnecessary additional examination and costs. It is crucial for radiologists to appropriately comprehend and report significant incidental abnormalities other than lung cancer for successful implementation of the national lung cancer screening program in Korea. 폐암검진을 위한 저선량 흉부 CT의 목적은 폐암의 조기 발견에 있지만, 여러 가지 부수적인이상 소견들이 저선량 흉부 CT에서 보일 수 있다. 이로 인해 검진자들에게서 폐암 외 다른 질환이 조기에 발견되기도 하지만 불필요한 추가검사 및 비용이 발생하기도 한다. 국가폐암검진의 성공적인 안착을 위해서는 영상의학과 의사들이 폐암 외 중요한 우연한 소견들을 적절히 이해하고 보고하는 것이 중요하다.
대한영상의학회에서의 임상 시험을 위한 첫 단계: 패널 토의
윤순호,이경호,구민모,김수정,김은경,백정환,조윤규,이경수,임태환,박성호 대한영상의학회 2013 대한영상의학회지 Vol.68 No.2
A clinical trial is a prospective experimental study carried out on human subjects, which is designed to evaluate the effects of specific intervention by comparing the study with the control group. In recent years, clinical trials have gained extreme popularity and have become imperative in the field of radiology. In the present work, we introduce the content of panel discussion at first clinical trial workshop of Korean Society of Radiology. This study will help the members of Korean Society of Radiology to be acquainted and facilitated with clinical trials. 임상 시험은 대조군과의 비교를 통해 특정 중재의 효과를 평가하기 위해 설계된, 사람을 대상으로 한 전향적 실험 연구이다. 최근 영상의학 분야에서 임상 시험이 점점 더 대중화되고 중요해지고 있다. 우리는 대한영상의학회의 첫 임상 시험 워크샵의 패널 토의 내용을 소개함으로써 대한영상의학회 회원들이 임상 시험에 친숙해지고 용이해질 수 있도록 하고자 한다.
윤순호,구진모,Julip Jung,Helen Hong,박은아,이창현,이유경,진광남,Ji Yung Choo,이녕근 대한영상의학회 2014 Korean Journal of Radiology Vol.15 No.3
Objective: To evaluate the technical feasibility, performance, and interobserver agreement of a computer-aided classification (CAC) system for regional ventilation at two-phase xenon-enhanced CT in patients with chronic obstructive pulmonary disease (COPD). Materials and Methods: Thirty-eight patients with COPD underwent two-phase xenon ventilation CT with resulting wash-in (WI) and wash-out (WO) xenon images. The regional ventilation in structural abnormalities was visually categorized into four patterns by consensus of two experienced radiologists who compared the xenon attenuation of structural abnormalities with that of adjacent normal parenchyma in the WI and WO images, and it served as the reference. Two series of image datasets of structural abnormalities were randomly extracted for optimization and validation. The proportion of agreement on a per-lesion basis and receiver operating characteristics on a per-pixel basis between CAC and reference were analyzed for optimization. Thereafter, six readers independently categorized the regional ventilation in structural abnormalities in the validation set without and with a CAC map. Interobserver agreement was also compared between assessments without and with CAC maps using multirater κ statistics. Results: Computer-aided classification maps were successfully generated in 31 patients (81.5%). The proportion of agreement and the average area under the curve of optimized CAC maps were 94% (75/80) and 0.994, respectively. Multirater κ value was improved from moderate (κ = 0.59; 95% confidence interval [CI], 0.56–0.62) at the initial assessment to excellent (κ = 0.82; 95% CI, 0.79–0.85) with the CAC map. Conclusion: Our proposed CAC system demonstrated the potential for regional ventilation pattern analysis and enhanced interobserver agreement on visual classification of regional ventilation.