Evaluation and feasibility analysis of artificial intelligence-assisted HER2 FISH interpretation in breast cancer
10.12354/j.issn.1000-8179.2025.20241405
- VernacularTitle:人工智能辅助乳腺癌HER2 FISH判读的评估及可行性分析
- Author:
Xue HUIQIN
1
;
Wang XIAOZI
1
;
Qian XIAOLONG
1
;
Sun HUI
1
;
Wang LU
1
;
Niu YUN
1
;
Guo XIAOJING
1
Author Information
1. 天津医科大学肿瘤医院乳腺病理研究室,国家恶性肿瘤临床医学研究中心,天津市恶性肿瘤临床医学研究中心,乳腺癌防治教育部重点实验室,天津市"肿瘤防治"重点实验(天津市 300060)
- Publication Type:Journal Article
- Keywords:
breast cancer;
human epidermal growth factor receptor 2(HER2);
fluorescent in situ hybridization(FISH);
artificial intelli-gence
- From:
Chinese Journal of Clinical Oncology
2025;52(3):134-139
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the accuracy and feasibility of an automated scanning and uptake system to assist pathologists with hu-man epidermal growth factor receptor 2(HER2)FISH interpretation.Methods:HER2 gene amplification is detected using FISH,and"result interpretation by independent pathologists"is regarded as the"gold standard."The consistency of"human-machine dialogue results"(use of a CytoVision* system combined with manual interpretation)and"CytoVision*-based automated interpretation"with the"gold standard"was assessed.Results:Consistency between"human-machine dialogue results"and the"gold standard"can surpass 91%,with the former method saving up to 50%of the manual operation time.The tendency of each cell nucleus's HER2 copy number to be"underestimated"is the main reason for the low sensitivity observed in cases with low copy number amplification and HER2 heterogeneous expression cases in"human-machine dialogue interpretation."Conclusions:Automatic FISH image analysis and uptake systems simulate the process of manu-ally interpreted cell selection,ensure random cell selection,and improve work efficiency.With its accurate selection of the hybridization re-gion and"human-computer dialogue,"the system is expected to"replace"interpretation by independent pathologists.
