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Dae Cheol Kim 2 Articles
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
  • 5,363 View
  • 248 Download
  • 8 Citations
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 to this article as recorded by  
  • 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
  • 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.2022;[Epub]     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
Frequency of BRAF Mutation and Clinical Relevance for Primary Melanomas
Hyoun Wook Lee, Ki Hoon Song, Jin Woo Hong, Su Young Jeon, Dong Yeob Ko, Ki Ho Kim, Hyuk Chan Kwon, Suee Lee, Sung Hyun Kim, Dae Cheol Kim
Korean J Pathol. 2012;46(3):246-252.   Published online June 22, 2012
  • 6,696 View
  • 39 Download
  • 11 Citations
AbstractAbstract PDF

This study was conducted to clarify the frequency of the BRAF mutation in primary melanomas and its correlation with clinicopathologic parameters.


We analyzed the frequency of BRAF mutation in patients with primary cutaneous melanoma (n=58) or non-cutaneous one (n=27) by performing dual priming oligonucleotide-based multiplex real-time polymerase chain reaction to isolate and to purify the DNA from the formalin-fixed and paraffin-embedded tumors.


The BRAF mutation was found in 17.2% (10/58) of patients with primary cutaneous melanoma and 11.1% (3/27) of those with non-cutaneous melanoma. The frequency of BRAF mutation was not correlated with any clinicopathologic parameters with the exception of the patient age. The frequency of the BRAF mutation was significantly higher in patients younger than 60 years as compared with those older than 60 years (p=0.005).


Compared with previous reports, our results showed that the frequency of the BRAF mutation was relatively lower in patients with primary cutaneous melanoma. Besides, our results also showed that the frequency of the BRAF mutation had an inverse correlation with the age. Further studies are warranted to exclude methodological bias, to elucidate the difference in the frequency of the BRAF mutation from the previous reports from a Caucasian population and to provide an improved understanding of the molecular pathogenesis of malignant melanoma.


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    Taylor Jamerson, Vito W. Rebecca, Crystal Aguh
    Journal of the National Medical Association.2022; 114(1): 7.     CrossRef
  • Comparative study of cutaneous melanoma and its associated issues between people of African decent and Caucasians
    Ehiaghe L. Anaba
    Dermatologic Therapy.2021;[Epub]     CrossRef
  • BRAF, KIT, and NRAS Mutations of Acral Melanoma in White Patients
    Emi Dika, Giulia Veronesi, Annalisa Altimari, Mattia Riefolo, Giulia Maria Ravaioli, Bianca Maria Piraccini, Martina Lambertini, Elena Campione, Elisa Gruppioni, Michelangelo Fiorentino, Barbara Melotti, Manuela Ferracin, Annalisa Patrizi
    American Journal of Clinical Pathology.2020; 153(5): 664.     CrossRef
  • Clinical Application of Next-Generation Sequencing–Based Panel to BRAF Wild-Type Advanced Melanoma Identifies Key Oncogenic Alterations and Therapeutic Strategies
    Changhee Park, Miso Kim, Min Jung Kim, Hyeongmin Kim, Chan-Young Ock, Bhumsuk Keam, Tae Min Kim, Dong-Wan Kim, Jong-Il Kim, Dae Seog Heo
    Molecular Cancer Therapeutics.2020; 19(3): 937.     CrossRef
  • BRAF and NRAS mutations and antitumor immunity in Korean malignant melanomas and their prognostic relevance: Gene set enrichment analysis and CIBERSORT analysis
    Kyueng-Whan Min, Ji-Young Choe, Mi Jung Kwon, Hye Kyung Lee, Ho Suk Kang, Eun Sook Nam, Seong Jin Cho, Hye-Rim Park, Soo Kee Min, Jinwon Seo, Yun Joong Kim, Nan Young Kim, Ho Young Kim
    Pathology - Research and Practice.2019; 215(12): 152671.     CrossRef
  • Acral melanoma: correlating the clinical presentation to the mutational status
    Giulia M. Ravaioli, Emi Dika, Martina Lambertini, Marco A. Chessa, Pier Alessandro Fanti, Annalisa Patrizi
    Giornale Italiano di Dermatologia e Venereologia.2019;[Epub]     CrossRef
  • Sunrise in melanoma management: Time to focus on melanoma burden in Asia
    John Wen-Cheng Chang, Jun Guo, Chia-Yen Hung, Si Lu, Sang Joon Shin, Richard Quek, Anthony Ying, Gwo Fuang Ho, Huu Sau Nguyen, Boman Dhabhar, Virote Sriuranpong, Maria Luisa Tiambeng, Nugroho Prayogo, Naoya Yamazaki
    Asia-Pacific Journal of Clinical Oncology.2017; 13(6): 423.     CrossRef
  • Detection ofBRAF,NRAS,KIT,GNAQ,GNA11andMAP2K1/2mutations in Russian melanoma patients using LNA PCR clamp and biochip analysis
    Marina Emelyanova, Lilit Ghukasyan, Ivan Abramov, Oxana Ryabaya, Evgenia Stepanova, Anna Kudryavtseva, Asiya Sadritdinova, Cholpon Dzhumakova, Tatiana Belysheva, Sergey Surzhikov, Lyudmila Lyubchenko, Alexander Zasedatelev, Tatiana Nasedkina
    Oncotarget.2017; 8(32): 52304.     CrossRef
  • Metaanalysis of BRAF mutations and clinicopathologic characteristics in primary melanoma
    Soo Young Kim, Soo Nyung Kim, Hyung Jin Hahn, Yang Won Lee, Yong Beom Choe, Kyu Joong Ahn
    Journal of the American Academy of Dermatology.2015; 72(6): 1036.     CrossRef
  • Diagnostic Effectiveness of PCR-based Tests DetectingBRAFMutation for Treating Malignant Melanoma: A Systematic Review
    Hae-Won Shin, Ryeo-Jin Ko, Min Lee, Hee-Young Bang, Kye-Chul Kwon, Jong-Woo Park, Sun-Hoe Koo
    Laboratory Medicine Online.2014; 4(4): 203.     CrossRef
  • KIT, NRAS, BRAF and PTEN mutations in a sample of Swedish patients with acral lentiginous melanoma
    Abdlsattar Zebary, Katarina Omholt, Ismini Vassilaki, Veronica Höiom, Diana Lindén, Lisa Viberg, Lena Kanter-Lewensohn, Carolina Hertzman Johansson, Johan Hansson
    Journal of Dermatological Science.2013; 72(3): 284.     CrossRef

JPTM : Journal of Pathology and Translational Medicine