Challenges and improvements in HER2 scoring and histologic evaluation: insights from a national proficiency testing scheme for breast cancer diagnosis in China

Our PT scheme demonstrated high proficiency in diagnosing breast cancer in China. But it also identified systemic biases in scoring HER2 0, 1+, and 2+/FISH- at some institutions. More importantly, our study highlighted challenges in the evaluation at the extreme lower end of the HER2 staining spectrum, a crucial area for further research. Meanwhile, it also revealed the need for improvements in interpreting histologic types and grades. These findings strengthened the importance of robust quality assurance mechanisms, like the nationwide PT scheme conducted in this study, to maintain high diagnostic standards and identify areas requiring further training and enhancement.

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Publication Details

Journal
Breast Cancer Research
Published
2024-09-03
DOI
https://doi.org/10.1186/s13058-024-01884-9
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.81
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article

Challenges and improvements in HER2 scoring and histologic evaluation: insights from a national proficiency testing scheme for breast cancer diagnosis in China

Jianming Ying, Lin Yang, Jiangtao Li, Xuemin Xue et al.
2 citations
Breast Cancer Research
Radiomics and Machine Learning in Medical Imaging
0.81
article

Challenges and improvements in HER2 scoring and histologic evaluation: insights from a national proficiency testing scheme for breast cancer diagnosis in China

Jianming Ying, Lin Yang, Jiangtao Li, Xuemin Xue, Lei Guo, Weicheng Xue, Bingning Wang, Changyuan Guo, Jiali Mu, Wei Rao, Xin Wang, Lin Li, Pei Yuan, Liwei Xu, Wenjing Yang, Quan Zhou, Fei Ma
article en
2 citations

Abstract

Our PT scheme demonstrated high proficiency in diagnosing breast cancer in China. But it also identified systemic biases in scoring HER2 0, 1+, and 2+/FISH- at some institutions. More importantly, our study highlighted challenges in the evaluation at the extreme lower end of the HER2 staining spectrum, a crucial area for further research. Meanwhile, it also revealed the need for improvements in interpreting histologic types and grades. These findings strengthened the importance of robust quality assurance mechanisms, like the nationwide PT scheme conducted in this study, to maintain high diagnostic standards and identify areas requiring further training and enhancement.

Breast Cancer ResearchVol. 26(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), National Cancer Center (US), Peking University Cancer Hospital (CN)
Openalex Percentile: Top 26%
Radiomics and Machine Learning in Medical Imaging
0.81
DOIOpen Access PDFOpenAlex
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