scholarly journals Caring of Breast Cancer Patient

2018 ◽  
Author(s):  
Anggorowati Anggorowati
Keyword(s):  
Breast Cancer ◽  
Cancer Patient ◽  
Breast Cancer Patient

THE RELATION OF COPPING STRATEGY BY LOOKING SOCIAL SUPPORT WITH STRESS LEVEL OF BREAST CANCER PATIENT WHO GONE TROUGH CHEMOTHERAPY

2018 ◽  
Vol 1 (1) ◽  
pp. 51-54
Author(s):  
Sri Burhani Putri
Keyword(s):  
Breast Cancer ◽  
Social Support ◽  
Cancer Patient ◽  
Breast Cancer Patient ◽  
Cross Sectional Study ◽  
P Value ◽  
Spiritual Support ◽  
Cross Sectional ◽  
Breast Cancer Chemotherapy ◽  
Patient Stress

Breast cancer is one of the most common illness that killed woman. One of the therapy to cure breast cancer is chemotherapy. Chemotherapy has side effect either physical and psychology, that caused people who’s in chemo therapy, prone to stress. Stress effected by many factors, such as characteristic and chopping strategy that patient has been using. The aim of this research is to get a perspective about the relation of characteristic and chopping strategy with breast cancer patient stress, whose in chemo therapy. This research using cross sectional study and taking sample by using accidental sampling method. The data analyzed by using bavariat and multivariat with variable result shows that breast cancer patient stress who has chemo therapy realted to age characteristic (p value = 0.00) the time since they diagnosed with cancer (pvalue = 0.03), how long they have chemo therapy (pvalue = 0.00) and chopping strategyby looking social support (pvalue = 0.00) looking for spiritual (pvalue = 0.00) with dominan variable which related to stress is chopping strategy to looking spiritual support (coeffecients B = -1.139).   Key words : Breast cancer, chemotherapy, stress  

Metastatic Breast Cancer: Patient Journey, Patient Needs, and Expectations: Results of the RÉALITÉS National Survey

ONCOLOGIE ◽  
2018 ◽  
Vol 20 (3-4) ◽  
pp. 73-83 ◽  
Author(s):  
M. Espié ◽  
I. Moley-Massol ◽  
N. Zernik ◽  
D. Debiais ◽  
V. Diéras
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Cancer Patient ◽  
Breast Cancer Patient ◽  
National Survey ◽  
Metastatic Breast ◽  
Metastatic Breast Cancer Patient ◽  
Patient Needs ◽  
Patient Journey

scholarly journals Tumor collagen framework from bright-field histology images predicts overall survival of breast carcinoma patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mindaugas Morkunas ◽  
Dovile Zilenaite ◽  
Aida Laurinaviciene ◽  
Povilas Treigys ◽  
Arvydas Laurinavicius
Keyword(s):  
Breast Cancer ◽  
Breast Carcinoma ◽  
Cancer Patient ◽  
Breast Cancer Patient ◽  
Cox Regression ◽  
Regional Lymph Node ◽  
Histological Grade ◽  
Biological Information ◽  
Lymph Node Status ◽  
Bright Field

AbstractWithin the tumor microenvironment, specifically aligned collagen has been shown to stimulate tumor progression by directing the migration of metastatic cells along its structural framework. Tumor-associated collagen signatures (TACS) have been linked to breast cancer patient outcome. Robust and affordable methods for assessing biological information contained in collagen architecture need to be developed. We have developed a novel artificial neural network (ANN) based approach for tumor collagen segmentation from bright-field histology images and have tested it on a set of tissue microarray sections from early hormone receptor-positive invasive ductal breast carcinoma stained with Sirius Red (1 core per patient, n = 92). We designed and trained ANNs on sets of differently annotated image patches to segment collagen fibers and extracted 37 features of collagen fiber morphometry, density, orientation, texture, and fractal characteristics in the entire cohort. Independent instances of ANN models trained on highly differing annotations produced reasonably concordant collagen segmentation masks and allowed reliable prognostic Cox regression models (with likelihood ratios 14.11–22.99, at p-value < 0.05) superior to conventional clinical parameters (size of the primary tumor (T), regional lymph node status (N), histological grade (G), and patient age). Additionally, we noted statistically significant differences of collagen features between tumor grade groups, and the factor analysis revealed features resembling the TACS concept. Our proposed method offers collagen framework segmentation from bright-field histology images and provides novel image-based features for better breast cancer patient prognostication.

scholarly journals Favorable survival with combined treatment in a metastatic breast cancer patient undergoing hemodialysis: A case report

2021 ◽  
Vol 79 ◽  
pp. 206-209
Author(s):  
Megumi Matsumoto ◽  
Hiroshi Yano ◽  
Ryota Otsubo ◽  
Aya Tanaka ◽  
Takeshi Nagayasu
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Case Report ◽  
Cancer Patient ◽  
Breast Cancer Patient ◽  
Combined Treatment ◽  
Metastatic Breast ◽  
Metastatic Breast Cancer Patient

Dosimetric assessment of IMRT treatment planning for unilateral breast cancer patient using Octavius phantom detector

2021 ◽  
Author(s):  
Afnan F. Alwakeel ◽  
Mustafa S. Al Musawi ◽  
Haydar H. Alabedi ◽  
Husam Jasim Mohammed
Keyword(s):  
Breast Cancer ◽  
Cancer Patient ◽  
Breast Cancer Patient ◽  
Treatment Planning ◽  
Unilateral Breast Cancer ◽  
Dosimetric Assessment

Palliative Care in the Elderly Breast Cancer Patient

2009 ◽  
Vol 21 (2) ◽  
pp. 131-139 ◽  
Author(s):  
B.J.A. Laird ◽  
M.T. Fallon
Keyword(s):  
Breast Cancer ◽  
Palliative Care ◽  
Cancer Patient ◽  
Breast Cancer Patient ◽  
The Elderly

Clinical utility of breast-specific gamma imaging for evaluating disease extent in the newly diagnosed breast cancer patient

2009 ◽  
Vol 197 (2) ◽  
pp. 159-163 ◽  
Author(s):  
Minhao Zhou ◽  
Nathalie Johnson ◽  
Sam Gruner ◽  
G.W. Ecklund ◽  
Paul Meunier ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patient ◽  
Breast Cancer Patient ◽  
Clinical Utility ◽  
Newly Diagnosed ◽  
Disease Extent ◽  
Gamma Imaging
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