Immunohistochemical Ki-67/KL1 double stains increase accuracy of Ki-67 indices in breast cancer and simplify automated image analysis
| Autor: | Anne Marie Bak Jylling, Vibeke Jensen, Nina K Bentzer, Patricia Switten Nielsen, Torben Steiniche |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Pathology
medicine.medical_specialty Histology Immunohistochemical double staining Breast Neoplasms Pathology and Forensic Medicine Automation Text mining Breast cancer Formaldehyde Endopeptidases Image Processing Computer-Assisted Medicine Humans Reproducibility Predictive marker Paraffin Embedding biology business.industry medicine.disease Computer-assisted image analysis Medical Laboratory Technology Ki-67 Antigen Ki-67 biology.protein Immunohistochemistry Female business Katanin |
| Zdroj: | Nielsen, P S, Bentzer, N K, Jensen, V, Steiniche, T & Bak Jylling, A M 2014, ' Immunohistochemical Ki-67/KL1 double stains increase accuracy of Ki-67 indices in breast cancer and simplify automated image analysis ', Applied immunohistochemistry & molecular morphology : AIMM / official publication of the Society for Applied Immunohistochemistry, vol. 22, no. 8, pp. 568-576 . https://doi.org/10.1097/PAI.0b013e3182a84b99 Nielsen, P S, Bentzer, N K, Jensen, V E D, Steiniche, T & Jylling, A M B 2013, ' Immunohistochemical Ki-67/KL1 double stains increase accuracy of Ki-67 indices in breast cancer and simplify automated image analysis ' Applied Immunohistochemistry & Molecular Morphology . Nielsen, P S, Bentzer, N K, Jensen, V, Steiniche, T & Jylling, A M B 2014, ' Immunohistochemical Ki-67/KL1 double stains increase accuracy of Ki-67 indices in breast cancer and simplify automated image analysis ', Applied Immunohistochemistry & Molecular Morphology, vol. 22, no. 8, pp. 568-76 . https://doi.org/10.1097/PAI.0b013e3182a84b99 |
| Popis: | BACKGROUND: Ki-67 immunohistochemical expression is a prognostic and predictive marker in many breast cancer studies. Instead of the conventional time-consuming score of Ki-67 single stains associated with low reproducibility, Ki-67/KL1 double stains may facilitate fast, repeatable quantification by digital image analysis. This study aims to detect the difference in accuracy and precision between manual indices of single and double stains, to develop an automated quantification of double stains, and to explore the relation between automated indices and tumor characteristics when quantified in different regions: hot spots, global tumor areas, and invasive fronts. MATERIALS AND METHODS: Paraffin-embedded, formalin-fixed tissue from 100 consecutive patients with invasive breast cancer was immunohistochemically stained for Ki-67 and Ki-67/KL1. Ki-67 was manually scored in different regions by 2 observers and automated image analysis. RESULTS: Indices were predominantly higher for single stains than double stains (P≤0.002), yet the difference between observers was statistically significant (P CONCLUSIONS: Although precision was unsatisfactory for manual indices of both stains, Ki-67 should be quantified on double stains to reach a higher accuracy. Automated indices correlated well with manual estimates and tumor characteristics, and they are thus possibly valuable tools in future exploration of Ki-67 in breast cancer. |
| Databáze: | OpenAIRE |
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