Skip Navigation
Skip to contents

J Pathol Transl Med : Journal of Pathology and Translational Medicine

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
1 "Sang-Yeop Yi"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Review
Recommendations for pathologic practice using digital pathology: consensus report of the Korean Society of Pathologists
Yosep Chong, Dae Cheol Kim, Chan Kwon Jung, Dong-chul Kim, Sang Yong Song, Hee Jae Joo, Sang-Yeop Yi
J Pathol Transl Med. 2020;54(6):437-452.   Published online October 8, 2020
DOI: https://doi.org/10.4132/jptm.2020.08.27
  • 6,607 View
  • 283 Download
  • 17 Web of Science
  • 18 Crossref
AbstractAbstract PDFSupplementary Material
Digital pathology (DP) using whole slide imaging (WSI) is becoming a fundamental issue in pathology with recent advances and the rapid development of associated technologies. However, the available evidence on its diagnostic uses and practical advice for pathologists on implementing DP remains insufficient, particularly in light of the exponential growth of this industry. To inform DP implementation in Korea, we developed relevant and timely recommendations. We first performed a literature review of DP guidelines, recommendations, and position papers from major countries, as well as a review of relevant studies validating WSI. Based on that information, we prepared a draft. After several revisions, we released this draft to the public and the members of the Korean Society of Pathologists through our homepage and held an open forum for interested parties. Through that process, this final manuscript has been prepared. This recommendation contains an overview describing the background, objectives, scope of application, and basic terminology; guidelines and considerations for the hardware and software used in DP systems and the validation required for DP implementation; conclusions; and references and appendices, including literature on DP from major countries and WSI validation studies.

Citations

Citations to this article as recorded by  
  • Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review
    Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J.V. Campbell, Andrew P. Norgan, Cynthia Lokker
    Journal of Pathology Informatics.2024; 15: 100348.     CrossRef
  • ChatGPT as an aid for pathological diagnosis of cancer
    Shaivy Malik, Sufian Zaheer
    Pathology - Research and Practice.2024; 253: 154989.     CrossRef
  • Remote Placental Sign-Out: What Digital Pathology Can Offer for Pediatric Pathologists
    Casey P. Schukow, Jacqueline K. Macknis
    Pediatric and Developmental Pathology.2024;[Epub]     CrossRef
  • Digital Validation in Breast Cancer Needle Biopsies: Comparison of Histological Grade and Biomarker Expression Assessment Using Conventional Light Microscopy, Whole Slide Imaging, and Digital Image Analysis
    Ji Eun Choi, Kyung-Hee Kim, Younju Lee, Dong-Wook Kang
    Journal of Personalized Medicine.2024; 14(3): 312.     CrossRef
  • Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer
    Young-Gon Kim, In Hye Song, Seung Yeon Cho, Sungchul Kim, Milim Kim, Soomin Ahn, Hyunna Lee, Dong Hyun Yang, Namkug Kim, Sungwan Kim, Taewoo Kim, Daeyoung Kim, Jonghyeon Choi, Ki-Sun Lee, Minuk Ma, Minki Jo, So Yeon Park, Gyungyub Gong
    Cancer Research and Treatment.2023; 55(2): 513.     CrossRef
  • Recent application of artificial intelligence on histopathologic image-based prediction of gene mutation in solid cancers
    Mohammad Rizwan Alam, Kyung Jin Seo, Jamshid Abdul-Ghafar, Kwangil Yim, Sung Hak Lee, Hyun-Jong Jang, Chan Kwon Jung, Yosep Chong
    Briefings in Bioinformatics.2023;[Epub]     CrossRef
  • Sustainable development goals applied to digital pathology and artificial intelligence applications in low- to middle-income countries
    Sumi Piya, Jochen K. Lennerz
    Frontiers in Medicine.2023;[Epub]     CrossRef
  • Diagnostic proficiency test using digital cytopathology and comparative assessment of whole slide images of cytologic samples for quality assurance program in Korea
    Yosep Chong, Soon Auck Hong, Hoon Kyu Oh, Soo Jin Jung, Bo-Sung Kim, Ji Yun Jeong, Ho-Chang Lee, Gyungyub Gong
    Journal of Pathology and Translational Medicine.2023; 57(5): 251.     CrossRef
  • Real-World Implementation of Digital Pathology: Results From an Intercontinental Survey
    Daniel Gomes Pinto, Andrey Bychkov, Naoko Tsuyama, Junya Fukuoka, Catarina Eloy
    Laboratory Investigation.2023; 103(12): 100261.     CrossRef
  • National digital pathology projects in Switzerland: A 2023 update
    Rainer Grobholz, Andrew Janowczyk, Ana Leni Frei, Mario Kreutzfeldt, Viktor H. Koelzer, Inti Zlobec
    Die Pathologie.2023; 44(S3): 225.     CrossRef
  • Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology
    Andrew Janowczyk, Inti Zlobec, Cedric Walker, Sabina Berezowska, Viola Huschauer, Marianne Tinguely, Joel Kupferschmid, Thomas Mallet, Doron Merkler, Mario Kreutzfeldt, Radivoje Gasic, Tilman T. Rau, Luca Mazzucchelli, Isgard Eyberg, Gieri Cathomas, Kirst
    Virchows Archiv.2023;[Epub]     CrossRef
  • Understanding the ethical and legal considerations of Digital Pathology
    Cheryl Coulter, Francis McKay, Nina Hallowell, Lisa Browning, Richard Colling, Philip Macklin, Tom Sorell, Muhammad Aslam, Gareth Bryson, Darren Treanor, Clare Verrill
    The Journal of Pathology: Clinical Research.2022; 8(2): 101.     CrossRef
  • Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape
    Muhammad Joan Ailia, Nishant Thakur, Jamshid Abdul-Ghafar, Chan Kwon Jung, Kwangil Yim, Yosep Chong
    Cancers.2022; 14(10): 2400.     CrossRef
  • Recent Applications of Artificial Intelligence from Histopathologic Image-Based Prediction of Microsatellite Instability in Solid Cancers: A Systematic Review
    Mohammad Rizwan Alam, Jamshid Abdul-Ghafar, Kwangil Yim, Nishant Thakur, Sung Hak Lee, Hyun-Jong Jang, Chan Kwon Jung, Yosep Chong
    Cancers.2022; 14(11): 2590.     CrossRef
  • Automated Hybrid Model for Detecting Perineural Invasion in the Histology of Colorectal Cancer
    Jiyoon Jung, Eunsu Kim, Hyeseong Lee, Sung Hak Lee, Sangjeong Ahn
    Applied Sciences.2022; 12(18): 9159.     CrossRef
  • Development of quality assurance program for digital pathology by the Korean Society of Pathologists
    Yosep Chong, Jeong Mo Bae, Dong Wook Kang, Gwangil Kim, Hye Seung Han
    Journal of Pathology and Translational Medicine.2022; 56(6): 370.     CrossRef
  • Improving quality control in the routine practice for histopathological interpretation of gastrointestinal endoscopic biopsies using artificial intelligence
    Young Sin Ko, Yoo Mi Choi, Mujin Kim, Youngjin Park, Murtaza Ashraf, Willmer Rafell Quiñones Robles, Min-Ju Kim, Jiwook Jang, Seokju Yun, Yuri Hwang, Hani Jang, Mun Yong Yi, Anwar P.P. Abdul Majeed
    PLOS ONE.2022; 17(12): e0278542.     CrossRef
  • What is Essential is (No More) Invisible to the Eyes: The Introduction of BlocDoc in the Digital Pathology Workflow
    Vincenzo L’Imperio, Fabio Gibilisco, Filippo Fraggetta
    Journal of Pathology Informatics.2021; 12(1): 32.     CrossRef

J Pathol Transl Med : Journal of Pathology and Translational Medicine