ArticleOncology letters2014
Semi-automated evaluation of Ki-67 index in invasive ductal carcinoma of the breast.
Article in Oncology letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- CD34 and Ki-67 Immunoexpression in Periapical Granulomas: Implications for Angiogenesis and Cellular Proliferation.Diagnostics (Basel, Switzerland) · 2024Article
- Quantitative immunohistochemistry analysis of breast Ki67 based on artificial intelligence.Open life sciences · 2024Article
- Significance of RCC2, Rac1 and p53 Expression in Breast Infiltrating Ductal Carcinoma; An Immunohistochemical Study.Iranian journal of pathology · 2024Article
- Artificial intelligence-assisted interpretation of Ki-67 expression and repeatability in breast cancer.Diagnostic pathology · 2022Article
- A Novel Ruthenium-Fluvastatin Complex Downregulates SNCG Expression to Modulate Breast Carcinoma Cell Proliferation and Apoptosis via Activating the PI3K/Akt/mTOR/VEGF/MMP9 Pathway.Oxidative medicine and cellular longevity · 2021Article
- Development and verification of a personalized immune prognostic feature in breast cancer.Experimental biology and medicine (Maywood, N.J.) · 2020Article
- Double-positive in triple-negative? How significant is basal cytokeratin expression in breast cancer?Medical journal, Armed Forces India · 2020Article
- Ki 67 assessment in breast cancer in an Egyptian population: a comparative study between manual assessment on optical microscopy and digital quantitative assessment.Diagnostic pathology · 2018Article
- The multifaceted role of podoplanin expression in hepatocellular carcinoma.European journal of histochemistry : EJH · 2017Article
- Ki-67 as a prognostic marker according to breast cancer molecular subtype.Cancer biology & medicine · 2016Article
- Biomarker discovery to improve prediction of breast cancer survival: using gene expression profiling, meta-analysis, and tissue validation.OncoTargets and therapy · 2016Article
- The molecular profile of breast cancer: primary tumor versus corresponding lymph node metastases.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieArticle
- Endothelial cell proliferation and vascular patterns in urothelial carcinoma.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieArticle
- Evaluation of Vascular Proliferation in Molecular Subtypes of Breast Cancer.In vivo (Athens, Greece)Article
- Mast cell density in the primary tumor predicts lymph node metastases in patients with breast cancer.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A significant factor that affects the value of the Ki-67 proliferation index (IK) is the interpretation and implementation approach. This method is based on visual or automated methods to count tumor nuclei labeled with Ki-67 antigen, and is prone to errors. Detection of Ki-67 is a useful tool in breast cancer and contributes to its molecular classification. The current study proposes a method for the quantification of Ki-67-positive tumor nuclei, which allows for the determination of the exact IK value that is required for tumor stratification based on the proliferation rate. The IK was assessed in 81 successive cases of diagnosed invasive ductal breast carcinoma using a semi-automated method that accurately identifies positive tumor cell nuclei. This method prevents the inclusion of other possible positive cells, including lymphoid, normal epithelia and hyperplastic. In small specimens with increased cell density, where the nucleus/cytoplasm ratio is markedly in favor of the nucleus and the distance between nuclei is small, the method allows precise quantification of the nuclei, even when the limits between nuclei are difficult to identify. In addition, images may be stored in a database, including the assessments, and easily accessed when required. We hypothesize that the semi-automated method for counting nuclei offers the most accurate method of assessing the IK and avoids counting errors that may occur through other methods.
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