ArticleInternational journal of breast cancer2026
Guestimating Molecular Subtyping of Breast Cancer by Ki67 in the Era of Artificial Intelligence.
Article in International journal of breast cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Guestimating Molecular Subtyping of Breast Cancer by Ki67 in the Era of Artificial Intelligence.International journal of breast cancer · 2026Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: This study aimed to compare the performance of immunohistochemistry (IHC)-based luminal subtyping of breast cancer against gene expression panels at our institute and to evaluate a CE-certified artificial intelligence (AI) Ki67 image analysis program for improving subtyping accuracy. Methods and Results: We retrospectively analysed IHC-based luminal subtyping in breast cancer biopsies diagnosed at our institute from 2019 to 2022 ( Conclusions: Our data provides a snapshot of the real-world allocation of multigene testing in early breast cancer, and supports other studies in highlighting the discrepancy between IHC-based and gene-based luminal subtyping. Ki67 evaluation remained consistent over time, and the use of AI for Ki67 scoring did not enhance the accuracy of IHC-based luminal subtyping.
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Registered trials
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