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Original Article
Inter-observer Reproducibility in the Pathologic Diagnosis of Gastric Intraepithelial Neoplasia and Early Carcinoma in Endoscopic Submucosal Dissection Specimens: A Multi-center Study
Joon Mee Kim, Jin Hee Sohn, Mee-Yon Cho, Woo Ho Kim, Hee Kyung Chang, Eun Sun Jung, Myeong-Cherl Kook, So-Young Jin, Yang Seok Chae, Young Soo Park, Mi Seon Kang, Hyunki Kim, Jae Hyuk Lee, Do Youn Park, Kyoung Mee Kim, Hoguen Kim, Young Ju Suh, Sang Yong Seol, Hwoon-Yong Jung, Deuck–Hwa Kim, Na Rae Lee, Seung-Hee Park, Ji Hye You
Cancer Res Treat. 2019;51(4):1568-1577.   Published online April 1, 2019
DOI: https://doi.org/10.4143/crt.2019.019
AbstractAbstract PDFPubReaderePub
Purpose
The diagnostic criteria of gastric intraepithelial neoplasia (IEN) are controversial across the world. We investigated how many discrepancies occur in the pathologic diagnosis of IEN and early gastric carcinoma in endoscopic submucosal dissection (ESD) specimens, and evaluated the reasons of the discordance.
Materials and Methods
We retrospectively reviewed 1,202 ESD specimens that were originally diagnosed as gastric IEN and early carcinoma at 12 institutions.
Results
The final consensus diagnosis of carcinoma were 756 cases, which were originally 692 carcinomas (91.5%), 43 high-grade dysplasias (5.7%), 20 low-grade dysplasias (2.6%), and 1 others (0.1%), respectively. High- and low-grade dysplasia were finally made in 63 and 342 cases, respectively. The diagnostic concordance with the consensus diagnosis was the highest for carcinoma (91.5%), followed by low-grade dysplasia (86.3%), others (63.4%) and high-grade dysplasia (50.8%). The general kappa value was 0.83, indicating excellent concordance. The kappa values of individual institutions ranged from 0.74 to 1 and correlated with the proportion of carcinoma cases. The cases revised to a final diagnosis of carcinoma exhibited both architectural abnormalities and cytologic atypia. The main differential points between low- and high-grade dysplasias were the glandular distribution and glandular shape. Additional features such as the glandular axis, surface maturation, nuclear stratification and nuclear polarity were also important.
Conclusion
The overall concordance of the diagnosis of gastric IEN and early carcinoma in ESD specimens was excellent. It correlated with the proportion of carcinoma cases, demonstrating that the diagnostic criteria for carcinoma are more reproducible than those for dysplasia.

Citations

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  • An emerging entity of gastric adenocarcinoma: clinicopathological features and differential diagnosis of gastric adenocarcinoma of fundic-gland type in 25 retrospective cases
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    Virchows Archiv.2026; 488(2): 355.     CrossRef
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    Digestive Endoscopy.2026;[Epub]     CrossRef
  • Poor agreement between biopsies and endoscopic submucosal dissection specimens of Esophageal and Gastric Epithelial Lesions in a western setting
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    Digestive and Liver Disease.2025; 57(5): 1006.     CrossRef
  • Development and application of deep learning-based diagnostics for pathologic diagnosis of gastric endoscopic submucosal dissection specimens
    Soomin Ahn, Yiyu Hong, Sujin Park, Yunjoo Cho, Inwoo Hwang, Ji Min Na, Hyuk Lee, Byung-Hoon Min, Jun Haeng Lee, Jae J. Kim, Kyoung-Mee Kim
    Gastric Cancer.2025; 28(4): 609.     CrossRef
  • Efficacy and prognosis analysis of pulley traction-assisted endoscopic submucosal dissection with dental floss for early gastric cancer and precancerous lesions
    Hao Luo, Jie Tang, Xiaotong He, Yinglei Shi, Yunli Chang
    Frontiers in Surgery.2025;[Epub]     CrossRef
  • Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
    Ricardo Gonzalez, Ashirbani Saha, Clinton J.V. Campbell, Peyman Nejat, Cynthia Lokker, Andrew P. Norgan
    Journal of Pathology Informatics.2024; 15: 100347.     CrossRef
  • A new, simplified endoscopic scoring system for predicting clinical outcome in gastric low-grade intraepithelial neoplasia: the “e-cout system”
    Nanjun Wang, Xiaotong Niu, Longsong Li, Jing Tang, Yawei Bi, Shengzhen Liu, Ke Han, Yaxuan Cheng, Zhaobei Cai, Ningli Chai, Enqiang Linghu
    Neoplasia.2024; 56: 101030.     CrossRef
  • A Prediction Model Based on the Risk Factors Associated with Pathological Upgrading in Patients with Early-Stage Gastric Neoplasms Diagnosed by Endoscopic Forceps Biopsy
    Yu Han Zhao, Yu Zheng, Jie Sha, Hong Jin Hua, Ke Dong Li, Yu Lu, Yi Ni Dang, Guo Xin Zhang
    Gut and Liver.2023; 17(1): 78.     CrossRef
  • A standardized pathology report for gastric cancer: 2nd edition
    Young Soo Park, Myeong-Cherl Kook, Baek-hui Kim, Hye Seung Lee, Dong-Wook Kang, Mi-Jin Gu, Ok Ran Shin, Younghee Choi, Wonae Lee, Hyunki Kim, In Hye Song, Kyoung-Mee Kim, Hee Sung Kim, Guhyun Kang, Do Youn Park, So-Young Jin, Joon Mee Kim, Yoon Jung Choi,
    Journal of Pathology and Translational Medicine.2023; 57(1): 1.     CrossRef
  • Tumor heterogeneity and carcinoma in resected specimens of gastric low-grade dysplasia: A retrospective single center study
    Ga-Yeong Shin, Jun Young Park, Sung Hak Lee, Yu Kyung Cho, Myung-Gyu Choi, Jae Myung Park, Alessandro Rizzo
    PLOS ONE.2023; 18(1): e0280735.     CrossRef
  • A Standardized Pathology Report for Gastric Cancer: 2nd Edition
    Young Soo Park, Myeong-Cherl Kook, Baek-hui Kim, Hye Seung Lee, Dong-Wook Kang, Mi-Jin Gu, Ok Ran Shin, Younghee Choi, Wonae Lee, Hyunki Kim, In Hye Song, Kyoung-Mee Kim, Hee Sung Kim, Guhyun Kang, Do Youn Park, So-Young Jin, Joon Mee Kim, Yoon Jung Choi,
    Journal of Gastric Cancer.2023; 23(1): 107.     CrossRef
  • Accuracy of administrative claim data for gastric adenoma after endoscopic resection
    Ga-Yeong Shin, Hyun Ho Choi, Jae Myung Park, Sang Yoon Kim, Jun Young Park, Donghoon Kang, Yu Kyung Cho, Sung Soo Kim, Myung-Gyu Choi
    Clinical Endoscopy.2023; 56(3): 325.     CrossRef
  • Artificial Intelligence in the Pathology of Gastric Cancer
    Sangjoon Choi, Seokhwi Kim
    Journal of Gastric Cancer.2023; 23(3): 410.     CrossRef
  • Establishment and validation of a clinical diagnostic model for gastric low-grade intraepithelial neoplasia
    Ting Sun, Xi-quan Ke, Meng Wang, Qi-zhi Wang
    Medicine.2023; 102(46): e35515.     CrossRef
  • Assessment of deep learning assistance for the pathological diagnosis of gastric cancer
    Wei Ba, Shuhao Wang, Meixia Shang, Ziyan Zhang, Huan Wu, Chunkai Yu, Ranran Xing, Wenjuan Wang, Lang Wang, Cancheng Liu, Huaiyin Shi, Zhigang Song
    Modern Pathology.2022; 35(9): 1262.     CrossRef
  • Deep learning for automatic diagnosis of gastric dysplasia using whole-slide histopathology images in endoscopic specimens
    Zhongyue Shi, Chuang Zhu, Yu Zhang, Yakun Wang, Weihua Hou, Xue Li, Jun Lu, Xinmeng Guo, Feng Xu, Xingran Jiang, Ying Wang, Jun Liu, Mulan Jin
    Gastric Cancer.2022; 25(4): 751.     CrossRef
  • Documento de posicionamiento de la AEG, la SEED y la SEAP sobre cribado de cáncer gástrico en poblaciones con baja incidencia
    Joaquín Cubiella, Ángeles Pérez Aisa, Miriam Cuatrecasas, Pilar Díez Redondo, Gloria Fernández Esparrach, José Carlos Marín-Gabriel, Leticia Moreira, Henar Núñez, M. Luisa Pardo López, Enrique Rodríguez de Santiago, Pedro Rosón, José Miguel Sanz Anquela,
    Gastroenterología y Hepatología.2021; 44(1): 67.     CrossRef
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    Gastroenterología y Hepatología (English Edition).2021; 44(1): 67.     CrossRef
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Editorial
Role of Microarray in Cancer Diagnosis
Hoguen Kim
Cancer Res Treat. 2004;36(1):1-3.   Published online February 29, 2004
DOI: https://doi.org/10.4143/crt.2004.36.1.1
PDFPubReaderePub

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