Journal of Pathology and Translational Medicine

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; DOI: https://doi.org/10.4132/jptm.2020.08.27

6,618 View
283 Download
17 Web of Science
18 Crossref

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

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; DOI: https://doi.org/10.4132/KoreanJPathol.2012.46.3.246

7,114 View
41 Download
12 Crossref

Abstract PDF

Background

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

Methods

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.

Results

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).

Conclusions

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.

Citations

Citations to this article as recorded by

Clinicopathological Features of Patients with Malignant Melanoma Diagnosis and Prognostic and Predictive Importance of Neuthrophil-Lymphocyte Ratio
Yasemin SAĞDIÇ KARATEKE, Lütfiye DEMİR, Murat DİNÇER, Bülent YILDIZ
OSMANGAZİ JOURNAL OF MEDICINE.2023;[Epub] CrossRef
Genetic characteristics and response to systemic therapies of acral lentiginous melanoma at a tertiary care center—a retrospective review
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

Author index