scholarly journals Robust Lymph Nodes Proton Scanning Irradiation for Locally Advanced Breast Cancer

2016 ◽  
Vol 96 (2) ◽  
pp. E682
Author(s):  
J. Yu ◽  
K.M. Langen ◽  
M.P. Mehta ◽  
E.M. Nichols ◽  
S.J. Feigenberg
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Advanced Breast Cancer ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Advanced Breast ◽  
Scanning Irradiation

scholarly journals Identification of the sentinel lymph node using hemosiderin in locally advanced breast cancer

2017 ◽  
Vol 44 (6) ◽  
pp. 612-618
Author(s):  
PAULO HENRIQUE WALTER DE AGUIAR ◽  
RANNIERE GURGEL FURTADO DE AQUINO ◽  
MAYARA MAIA ALVES ◽  
JULIO MARCUS SOUSA CORREIA ◽  
AYANE LAYNE DE SOUSA OLIVEIRA ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Nodes ◽  
Advanced Breast Cancer ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Sentinel Lymph Nodes ◽  
Advanced Breast ◽  
Identification Rate

ABSTRACT Objective: to verify the agreement rate in the identification of sentinel lymph node using an autologous marker rich in hemosiderin and 99 Technetium (Tc99) in patients with locally advanced breast cancer. Methods: clinical trial phase 1, prospective, non-randomized, of 18 patients with breast cancer and clinically negative axilla stages T2=4cm, T3 and T4. Patients were submitted to sub-areolar injection of hemosiderin 48 hours prior to sentinel biopsy surgery, and the identification rate was compared at intraoperative period to the gold standard marker Tc99. Agreement between methods was determined by Kappa index. Results: identification rate of sentinel lymph node was 88.9%, with a medium of two sentinel lymph nodes per patients. The study identified sentinel lymph nodes stained by hemosiderin in 83.3% patients (n=15), and, compared to Tc99 identification, the agreement rate was 94.4%. Conclusion: autologous marker rich in hemosiderin was effective to identify sentinel lymph nodes in locally advanced breast cancer patients.

Evaluation of the Internal Mammary Lymph Nodes by FDG-PET in Locally Advanced Breast Cancer (LABC)

2004 ◽  
Vol 27 (4) ◽  
pp. 407-410 ◽  
Author(s):  
Jennifer R. Bellon ◽  
Robert B. Livingston ◽  
William B. Eubank ◽  
Julie R. Gralow ◽  
Georgiana K. Ellis ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Advanced Breast Cancer ◽  
Fdg Pet ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Advanced Breast ◽  
Internal Mammary Lymph Nodes ◽  
Internal Mammary

Staging PET–CT Scanning Provides Superior Detection of Lymph Nodes and Distant Metastases than Traditional Imaging in Locally Advanced Breast Cancer

2016 ◽  
Vol 40 (8) ◽  
pp. 2036-2042 ◽  
Author(s):  
Pankaj Kumar Garg ◽  
Suryanarayana V. S. Deo ◽  
Rakesh Kumar ◽  
Nootan Kumar Shukla ◽  
Sanjay Thulkar ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Advanced Breast Cancer ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Ct Scanning ◽  
Distant Metastases ◽  
Advanced Breast ◽  
Pet Ct

scholarly journals Long-Term Survival of Women with Locally Advanced Breast Cancer with ≥10 Involved Lymph Nodes at Diagnosis

2014 ◽  
Vol 15 (8) ◽  
pp. 3435-3441 ◽  
Author(s):  
Simon Blechman Zeichner ◽  
Ludimila Cavalcante ◽  
Gabriel Pius Suciu ◽  
Ana Lourdes Ruiz ◽  
Alicia Hirzel ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Advanced Breast Cancer ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Advanced Breast ◽  
Term Survival ◽  
Long Term Survival

scholarly journals Rapid Stereology Based Quantitative Immunohistochemistry of Dendritic Cells in Lymph Nodes: A Methodological Study

2001 ◽  
Vol 22 (3) ◽  
pp. 143-149 ◽  
Author(s):  
Yvette van Hensbergen ◽  
Sylvia A. Luykx‐de Bakker ◽  
Daniëlle A. M. Heideman ◽  
Gerrit A. Meijer ◽  
Herbert M. Pinedo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Dendritic Cells ◽  
Lymph Nodes ◽  
Advanced Breast Cancer ◽  
Sample Size ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Advanced Breast ◽  
Axillary Lymph ◽  
Quantitative Immunohistochemistry

This study was done to arrive at a fast and reliable protocol for assessment of fractional volumes of immunohistochemically stained dendritic cells in lymph nodes. Twenty axillary lymph nodes of patients with locally advanced breast cancer were immuno‐histochemically stained with an S100 antibody. Fractional volumes of dendritic cells were assessed by stereology based quantitative immunohistochemistry using an interactive video overlay system including an automated microscope. The gold standard percentage of dendritic cells was the fractional volume of S100 stained cells in 500 fields systematically spread over the whole lymph node. Then, in a computer simulation, different sample sizes (1–200 fields of vision) were tested and the coefficient of variation (CV) for each sample size was calculated. The CV dropped with increasing sample size. A sample size of 100 fields of vision appeared to be optimal. Intra‐ and interobserver reproducibility appeared to be good (correlation coefficients of 0.95 and 0.86, respectively) when re‐analyzing the cases with the established protocol. In conclusion, a fast and reliable assessment of the fractional volume of dendritic cells in lymph nodes is possible with semi‐automated quantitative immuno‐histochemistry. This method will form the base for further clinical studies into the immunological response in lymph nodes of patients with locally advanced breast cancer.

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