ArticleDiagnostics (Basel, Switzerland)2022
Allred Scoring of ER-IHC Stained Whole-Slide Images for Hormone Receptor Status in Breast Carcinoma.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 40 citations in OpenAlex.
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- Histopathological evaluation of dopamine receptor D2 expression in symptomatic gonadotroph pituitary neuroendocrine tumors: a case series including a rare metastatic case responsive to a dopamine agonist.Brain tumor pathology · 2026Article
- AI-Driven Breast Cancer Nuclei Segmentation, Classification, and Scoring in PR-IHC Images.Diagnostics (Basel, Switzerland) · 2026Article
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- Endometrial Metabolism of 17β-Estradiol during the Window of Implantation in Women with Recurrent Implantation Failure.Gynecologic and obstetric investigation · 2026Observational
- Hormone receptor status score is negatively correlated with adverse pathological features and serves as an independent prognostic factor in endometrial carcinoma.American journal of translational research · 2026Article
- Artificial Intelligence as an Assistive Tool in Breast Cancer Screening and Diagnosis in the Digital Era.International journal of breast cancer · 2026Article
- The Management of ER-Low, HER2-Negative Breast Cancer in the United Kingdom: A Survey of Current Clinical Practice.Oncology and therapy · 2025Article
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- Color Normalization in Breast Cancer Immunohistochemistry Images Based on Sparse Stain Separation and Self-Sparse Fuzzy Clustering.Diagnostics (Basel, Switzerland) · 2025Article
- PBK Expression Promotes the Aggressive Phenotypes of Mesothelioma.Cancer science · 2025Article
- Detection of Protein Carbonylation in Gingival Biopsies from Periodontitis Patients with or Without Diabetes Mellitus-A Pilot Study.Dentistry journal · 2025Article
- Pathological complete response, histologic grade, and level of stromal tumor-infiltrating lymphocytes in ER + HER2- breast cancer.Breast cancer research : BCR · 2025Article
- Successful unconventional precision treatment of inflammatory hormone receptor-positive breast cancer guided by molecular profiling.NPJ precision oncology · 2025Article
- Evaluation of expression profiles of APOA4, CEACAM1, CD147, DJ-1/PARK7, Gamma-synuclein, S100A1, and Stathmin-1 in urothelial carcinomas using immunohistochemical assays.Frontiers in oncology · 2025Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Hormone receptor status is determined primarily to identify breast cancer patients who may benefit from hormonal therapy. The current clinical practice for the testing using either Allred score or H-score is still based on laborious manual counting and estimation of the amount and intensity of positively stained cancer cells in immunohistochemistry (IHC)-stained slides. This work integrates cell detection and classification workflow for breast carcinoma estrogen receptor (ER)-IHC-stained images and presents an automated evaluation system. The system first detects all cells within the specific regions and classifies them into negatively, weakly, moderately, and strongly stained, followed by Allred scoring for ER status evaluation. The generated Allred score relies heavily on accurate cell detection and classification and is compared against pathologists' manual estimation. Experiments on 40 whole-slide images show 82.5% agreement on hormonal treatment recommendation, which we believe could be further improved with an advanced learning model and enhancement to address the cases with 0% ER status. This promising system can automate the exhaustive exercise to provide fast and reliable assistance to pathologists and medical personnel. The system has the potential to improve the overall standards of prognostic reporting for cancer patients, benefiting pathologists, patients, and also the public at large.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.