2022 년 봄 학술대회 구연 발표는 다음 순서대로 진행할 예정입니다.

발표시간은 토의를 포함하여 15분 (발표:10분, 토의:5분) 이므로 요약발표 부탁드립니다.

  * 구연발표 순서*

O1-6( 온라인 발표 4월 1일(금) 15:00~16:30 )

좌장: 채승완 교수 ( 성균관의대 ), 김혜령 ( 서울의대 )  

O1. 제목: Comprehensive Comparative Assessment of the Whole Slide Images of Cytologic Samples for Quality Assurance Program in Korea

성명: Yosep Chong1,*, Soon Auck Hong2, Hoon Kyu Oh3, Soo Jin Jung4, Bo-Sung Kim5, Ji Yun Jeong6, Ho Chang Lee7, Gyungyub Gong8, The Committee of Quality Improvement of Korean Society for Cytopathology

소속: 1Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul; 2Department of Pathology, Chung-Ang University College of Medicine, Seoul; 3Department of Pathology, Daegu Catholic University School of Medicine, Daegu; 4Department of Pathology, Inje University Busan Paik Hospital, Busan; 5Department of Pathology, Green Cross Laboratories, Yongin; 6Department of Pathology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu; 7Department of Pathology, Chungbuk National University College of Medicine, Cheongju; 8Department of Pathology, Asan Medical Center, University of Ulsan Col lege of Medicine, Seoul, Republic of Korea.

O2. 제목: Establishment of Non-face-to-face Image Training Platform for Korean  Association of Cytotechnologists (KAC)

성명: Youngjoo Kim, C.T1., Kang Jeong-Eun, C.T2., Gyeong-Su Ko, C.T3., Young-Jae Oh1, C.T., Kwang Pyo Hong1, C.T., Ji Yoon Eum1, C.T., Kyung Hee Shon1, C.T., Myong Ja Jeon1, C.T., Eung-Soo Eo1, C.T., Jae-Nam Ko1, C.T., Gyungyub Gong1, M.D., Kyung-Ja Cho1, M.D.

소속: 1Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea, 2Department of Pathology Yonsei University College of Medicine, 3Department of Pathology Samsung Medical Center

O3. 제목: Deep learning-based detection of metastatic ovarian cancer from ascitic fluids

성명: Kwangil Yim1 , Jamshid ABDUL-GHAFAR1, Kyung Jin SEO1, Ok Ran Shin 1, Gisu HWANG2, Sohyun JEONG2, Gyungyub GONG3*, Nam Hoon CHO4, Chong woo YOO5, and Yosep CHONG1

소속: 1Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul; 2AI Team, DeepNoid Inc., Seoul; 3Department of Pathology, Asan Medical Center, Seoul; 4Department of Pathology, Yonsei University College of Medicine, Seoul; 5Department of Pathology, National Cancer Center, Ilsan, Gyeonggi-do, REPUBLIC OF KOREA

O4. 제목: Feasibility of a deep learning algorithm to distinguish malignancy in pleural fluids cytology specimens

성명: Kyung Jin SEO1 , Kwangil Yim1, Jamshid ABDUL-GHAFAR1, Ok Ran Shin 1, Gisu HWANG2, Sohyun JEONG2, Gyungyub GONG3, Nam Hoon CHO4, Chong woo YOO5, and Yosep CHONG1*

소속: 1Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul; 2AI Team, DeepNoid Inc., Seoul; 3Department of Pathology, Asan Medical Center, Seoul; 4Department of Pathology, Yonsei University College of Medicine, Seoul; 5Department of Pathology, National Cancer Center, Ilsan, Gyeonggi-do, REPUBLIC OF KOREA

O5. 제목: Applying Shorr Staining Method in Rapid On-site Evaluation for Solid Pancreatic Lesions: a Pilot Study

성명: Hee Young Na1 , Jong-Chan Lee2, Jin-Hyeok Hwang2, Jaihwan Kim2

소속 1Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea 2 Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea

O6. 제목: Improvement of Diagnostic Accuracy of Pancreas EUS-guided needle biopsy by Liquid-Based Preparation Cytology

성명: Ji Yoon Eum, C.T., Youngjoo Kim, C.T., Kwang Pyo Hong, C.T., Hwajeong Shin, C.T., Kyung Hee Shon, C.T.,Myong Ja Jeon, C.T., Eung-Soo Eo, C.T., Young-Jae Oh, C.T., Jae-Nam Ko, C.T., Seung-Mo Hong, M.D., Gyungyub Gong, M.D., Kyung-Ja Cho, M.D.

소속: Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea