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The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer

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收录情况： ◇ SCIE

作者：
Wu Si[1] * ; Yue Meng[1] * ; Zhang Jun[2] * ; Li Xiaoxian[3] ; Li Zaibo[4] ; Zhang Huina[5] ; Wang Xinran[1] ; Han Xiao[2] ; Cai Lijing[1] ; Shang Jiuyan[1] ; Jia Zhanli[1] ; Wang Xiaoxiao[1] ; Li Jinze[1] ; Liu Yueping[1] ;
机构： [1]Department of Pathology, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China [2]Tencent AI Lab, Nanshan District, Tencent Binhai Building, Shenzhen, Guangdong, China [3]Department of Pathology and Laboratory Medicine, The Emory University School of Medicine, Atlanta, Georgia [4]Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, Ohio [5]Department of Pathology, University of Rochester Medical Center, Rochester, New York
出处：
DOI： 10.1016/j.modpat.2022.100054
ISSN：

摘要：
The new human epidermal growth factor receptor (HER)2-targeting antibody-drug conjugate offers the opportunity to treat patients with HER2-low breast cancer. Distinguishing HER2 immunohistochemical (IHC) scores of 0 and 1+ is not only critical but also challenging owing to HER2 heterogeneity and variability of observers. In this study, we aimed to increase the interpretation accuracy and consistency of HER2 IHC 0 and 1+ evaluation through assistance from an artificial intelligence (AI) algorithm. In addition, we examined the value of our AI algorithm in evaluating HER2 IHC scores in tumors with heterogeneity. AI-assisted interpretation consisted of AI algorithms and an augmenting reality module with a microscope. Fifteen pathologists (5 junior, 5 midlevel, and 5 senior) participated in this multi-institutional 2-round ring study that included 246 infiltrating duct carcinoma cases that were not otherwise specified. In round 1, pathologists analyzed 246 HER2 IHC slides by microscope without AI assistance. After a 2-week washout period, the pathologists read the same slides with AI algorithm assistance and rendered the definitive results by adjusting to the AI algorithm. The accuracy of interpretation accuracy with AI assistance (0.93 vs 0.80), thereby the evaluation precision of HER2 0 and the recall of HER2 1+. In addition, the AI algorithm improved the total consistency (intraclass correlation coefficient = 0.542-0.812), especially in HER2 1+ cases. In cases with heterogeneity, accuracy improved significantly (0.68 to 0.89) and to a similar level as in cases without heterogeneity (accuracy, 0.97). Both accuracy and consistency improved more for junior pathologists than those for the midlevel and senior pathologists. To the best of our knowledge, this is the first study to show that the accuracy and consistency of HER2 IHC 0 and 1+ evaluation and the accuracy of HER2 IHC evaluation in breast cancers with heterogeneity can be significantly improved using AI-assisted interpretation.Copyright © 2022 United States & Canadian Academy of Pathology. Published by Elsevier Inc. All rights reserved.

基金：
This work was supported by the Beijing Science and Technology Innovation Medical Development Foundation (KC2022-ZZ- 0091-8).
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外文
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出版当年[2023]版：
大类 | 1 区 医学
小类 | 1 区 病理学
最新[2025]版：
大类 | 1 区 医学
小类 | 1 区 病理学
JCR分区：
出版当年[2023]版：
Q1 PATHOLOGY
最新[2023]版：
Q1 PATHOLOGY

影响因子： 最新[2023版] 最新五年平均 出版当年[2023版] 出版当年五年平均 出版前一年[2022版]

第一作者：
第一作者机构： [1]Department of Pathology, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
共同第一作者：
通讯作者：
通讯机构： [1]Department of Pathology, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
推荐引用方式(GB/T 7714)：
Wu Si,Yue Meng,Zhang Jun,et al.The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer[J].MODERN PATHOLOGY.2023,36(3):doi:10.1016/j.modpat.2022.100054.
APA：
Wu Si,Yue Meng,Zhang Jun,Li Xiaoxian,Li Zaibo...&Liu Yueping.(2023).The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer.MODERN PATHOLOGY,36,(3)
MLA：
Wu Si,et al."The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer".MODERN PATHOLOGY 36..3(2023)

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