scholarly journals Evaluation of Residual Cellularity and Proliferation on Preoperatively Treated Breast Cancer: A Comparison between Image Analysis and Light Microscopy Analysis

1998 ◽  
Vol 16 (2) ◽  
pp. 83-93 ◽  
Author(s):  
Valentina Corletto ◽  
Paolo Verderio ◽  
Roberto Giardini ◽  
Sonia Cipriani ◽  
Silvana Di Palma ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Image Analysis ◽  
Light Microscopy ◽  
Proliferation Index ◽  
Residual Tumour ◽  
Intraobserver Agreement ◽  
Microscopy Analysis ◽  
Light Microscopy Analysis ◽  
Treated Breast ◽  
Treated Breast Cancer

Histopathology has been suggested as a reliable method for tumour reduction evaluation of preoperatively treated breast cancer. Immunocytochemistry can be used to enhance the visibility of residual tumour cellularity and in the evaluation of its proliferative activity. We compared Image Analysis (IA) with Light Microscopy Analysis (LMA) on sections of breast carcinomas treated with preoperative chemo‐ or chemo/radiotherapy in the evaluation of the Neoplastic Cell Density (NCD) (69 cases) and the Proliferation Index (PI) (35 cases). NCD was expressed as the immunoreactive area to cytokeratin over the total original neoplastic area and PI was expressed as the number of immunostained tumoural nuclei with MIB1 MoAb over the total of tumoural nuclei. The intraobserver agreement and that between IA and LMA for both indices were estimated by the common (Kw) and the jackknife weighted kappa statistic (K˜w). The extent of agreement of each considered category was also assessed by means of the category‐specific kappa statistics (Kcs). The intraobserver agreement within LMA for NCD and PI and that between IA and LMA for PI were both satisfactory. Upon evaluation of the NCD, the agreement between IA and LMA showed unsatisfactory results, especially when the ratio between the residual tumour cells and the background was critical.

scholarly journals Morphological estimation of Cellularity on Neo-adjuvant treated breast cancer histological images

2020 ◽  
Author(s):  
Mauricio Alberto Ortega-Ruiz ◽  
Cefa Karabağ ◽  
Victor García Garduño ◽  
Constantino Carlos Reyes-Aldasoro
Keyword(s):  
Breast Cancer ◽  
Morphological Analysis ◽  
Tumour Size ◽  
Residual Tumour ◽  
Morphological Parameters ◽  
Watershed Segmentation ◽  
Regression Methods ◽  
Histological Images ◽  
Treated Breast ◽  
Treated Breast Cancer

AbstractThis paper describes a methodology that extracts morphological features from histological breast cancer images stained for Hematoxilyn and Eosin (H&E). Cellularity was estimated and the correlation between features and the residual tumour size cellularity after a Neo-Adjuvant treatment (NAT) was examined. Images from whole slide imaging (WSI) were processed automatically with traditional computer vision methods to extract twenty two morphological parameters from the nuclei, epithelial region and the global image. The methodology was applied to a set of images from breast cancer under NAT. The data came from the BreastPathQ Cancer Cellularity Challenge 2019, and consisted of 2579 patches of 255×255 pixels of H&E histopatological samples from NAT treatment patients. The methodology automatically implements colour separation, segmentation and morphological analysis using traditional algorithms (K-means grouping, watershed segmentation, Otsu’s binarisation). Linear regression methods were applied to determine strongest correlation between the parameters and the cancer cellularity. The morphological parameters showed correlation with the residual tumour cancer cellularity. The strongest correlations corresponded to the stroma concentration value (r = −0.9786) and value from HSV image colour space (r = −0.9728), both from a global image parameters.

scholarly journals Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients

2020 ◽  
Vol Volume 12 ◽  
pp. 771-781
Author(s):  
Nina Gran Egeland ◽  
Kristin Jonsdottir ◽  
Kristina Lystlund Lauridsen ◽  
Ivar Skaland ◽  
Cathrine F Hjorth ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Image Analysis ◽  
Cancer Patients ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Tissue Microarrays ◽  
Breast Cancer Patients ◽  
Ki 67 ◽  
Treated Breast ◽  
Treated Breast Cancer

Gemcitabine and capecitabine in combination for advanced anthracycline and taxane pre-treated breast cancer patients: A phase II study

2009 ◽  
Vol 49 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Annika Malmström ◽  
Jörgen Hansen ◽  
Lena Malmberg ◽  
Lena Carlsson ◽  
Jan-Henry Svensson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Phase Ii ◽  
Phase Ii Study ◽  
Breast Cancer Patients ◽  
Treated Breast ◽  
Treated Breast Cancer

Endometrial Carcinoma in Tamoxifen-Treated Breast Cancer Patients

1991 ◽  
Vol 3 (4) ◽  
pp. 267-270 ◽  
Author(s):  
G. Spinelli ◽  
N. Bardazzi ◽  
A. Citernesi ◽  
M. Fontanarosa ◽  
P. Curiel
Keyword(s):  
Breast Cancer ◽  
Endometrial Carcinoma ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Treated Breast ◽  
Treated Breast Cancer

Beneficial effects of the redox-active complex Cu[15]pyN5 in doxorubicin-treated breast cancer cells

2012 ◽  
Vol 53 ◽  
pp. S119-S120
Author(s):  
A.S. Fernandes⁎ ◽  
M. Cipriano ◽  
J. Costa ◽  
M.F. Cabral ◽  
J. Miranda ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Active Complex ◽  
Beneficial Effects ◽  
Redox Active ◽  
Treated Breast ◽  
Treated Breast Cancer
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