scholarly journals DUAL MODALITY TRAN-ADMITTANCE MAMMOGRAPHY AND ULTRASOUND REFLECTION TO IMPROVE ACCURACY OF BREAST CANCER DETECTION

2020 ◽  
Vol 82 (4) ◽  
Author(s):  
Khusnul Ain ◽  
Deddy Kurniadi ◽  
Suprijanto Suprijanto ◽  
Oerip Santoso
Keyword(s):  
Breast Cancer ◽  
Breast Tissue ◽  
Position Information ◽  
Dual Modality ◽  
Reflection Data ◽  
Depth Position ◽  
Information Depth ◽  
Breast Phantom ◽  
Projection Image ◽  
Transverse Position

Cancer and breast tissue have a very high electrical impedance ratio, so imaging based on impedance can produce high contrast. It is very useful for the early detection of breast cancer. Trans-admittance mammography (TAM) is a modality to detect breast cancer based on impedance. The weakness of TAM is that it can only produce a projection image so that the volume and ratio of cancer to breast tissue cannot be obtained at once. The ratio of anomaly and volume is very important to be determined properly because it is related to the stage and type of cancer. TAM shortcomings can be overcome if anomalous volume information is known precisely. The ultrasound reflection modality can produce information about an anomaly depth and volume correctly. Combining TAM and ultrasound reflection data is expected to provide promising results. The study was conducted to prove the hypothesis by creating a breast phantom composed of gelatin, agar, graphite, glycerol, and distilled water to represent the electrical and acoustic physical properties of cancer and breast tissue. The results showed that the TAM data was only able to produce information about transverse position accurately, while the depth was less accurate. Acoustic devices can produce transverse position information, depth, and volume precisely. The dual-modality of TAM and ultrasound reflection can produce information about the depth position, volume, and the ratio anomaly to reference conductivity accurately.

scholarly journals In-Silico study of microwave ablation applicators of different size for breast cancer treatment

2020 ◽  
Vol 21 (3) ◽  
pp. 1-13
Author(s):  
José Irving Hernández Jacquez ◽  
Mario Francisco Jesús Cepeda Rubio ◽  
Geshel David Guerrero López ◽  
Arturo Vera Hernández ◽  
Lorenzo Leija Salas ◽  
...  
Keyword(s):  
Breast Cancer ◽  
In Silico ◽  
Microwave Ablation ◽  
Breast Tissue ◽  
Treatment Options ◽  
Coaxial Cable ◽  
Invasive Technique ◽  
In Silico Study ◽  
Breast Phantom ◽  
The Difference

Breast cancer is one of the most common types of cancer in females around the world, surgery is the preferred treatment for this disease in early stages, however there are some emergent treatment options with less clinical and cosmetically repercussions, being one of these the microwave ablation. Microwave ablation is a minimally invasive technique used to treat tumors in different organs of the human body, mainly in liver, lung and kidney. It consist on the destruction of the tumor by rising the temperature of the cells until necrosis is achieve. In breast tumors, this technique has been rarely used in human patients. Depending on the type of tissue, an applicator must be made to be coupled to ensure that energy used is not reflected, so the standing wave ratio is closest to 1. In order to determine an appropriate design for the applicators that could be used for the treatment of breast cancer, an in-silico study of microwave ablation of breast cancer was made to show the difference between micro-coaxial applicators constructed with two different types of coaxial cable (UT-47 and UT-85) utilizing the same design in three possible scenarios breast tissue, tumor tissue and tumor surrounded by breast tissue. The simulation was realized using COMSOL Multiphysics commercial software, due to its capabilities to simulate the electromagnetics and thermals effects. A slot type applicator was selected because of its ease of manufacture and the available literature on it. The results shows a better coupling for the applicator constructed with the UT-47 cable, especially in the tumor phantom surrounded by breast phantom test.

Reevaluation of annexin I expression in benign breast tissue and breast cancer

2006 ◽  
Vol 66 (S 01) ◽  
Author(s):  
R Speer ◽  
JD Wulfkuhle ◽  
D Wallwiener ◽  
E Solomayer ◽  
LA Liotta ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Tissue ◽  
Annexin I ◽  
Benign Breast Tissue

Copper Concentrations in Breast Cancer: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 27 (37) ◽  
pp. 6373-6383 ◽  
Author(s):  
Leila Jouybari ◽  
Faezeh Kiani ◽  
Farhad Islami ◽  
Akram Sanagoo ◽  
Fatemeh Sayehmiri ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Breast Tissue ◽  
Reference Lists ◽  
Meta Analysis ◽  
Cancer Risks ◽  
Hair Samples ◽  
Significant Difference ◽  
Mean Differences ◽  
Very High

: Breast cancer is the most common neoplasm, comprising 16% of all women's cancers worldwide. Research of Copper (Cu) concentrations in various body specimens have suggested an association between Cu levels and breast cancer risks. This systematic review and meta-analysis summarize the results of published studies and examine this association. We searched the databases PubMed, Scopus, Web of Science, and Google Scholar and the reference lists of relevant publications. The Standardized Mean Differences (SMDs) between Cu levels in cancer cases and controls and corresponding Confidence Intervals (CIs), as well as I2 statistics, were calculated to examine heterogeneity. Following the specimens used in the original studies, the Cu concentrations were examined in three subgroups: serum or plasma, breast tissue, and scalp hair. We identified 1711 relevant studies published from 1984 to 2017. There was no statistically significant difference between breast cancer cases and controls for Cu levels assayed in any studied specimen; the SMD (95% CI) was -0.01 (-1.06 - 1.03; P = 0.98) for blood or serum, 0.51 (-0.70 - 1.73; P = 0.41) for breast tissue, and -0.88 (-3.42 - 1.65; P = 0.50) for hair samples. However, the heterogeneity between studies was very high (P < 0.001) in all subgroups. We did not find evidence for publication bias (P = 0.91). The results of this meta-analysis do not support an association between Cu levels and breast cancer. However, due to high heterogeneity in the results of original studies, this conclusion needs to be confirmed by well-designed prospective studies.

scholarly journals The Expression Pattern of Epidermal Differentiation Marker Keratin 10 in the Normal Human Breast and Breast Cancer Cells

2020 ◽  
Vol 68 (8) ◽  
pp. 561-570
Author(s):  
Jiyoung Kim ◽  
René Villadsen
Keyword(s):  
Breast Cancer ◽  
Expression Pattern ◽  
Breast Tissue ◽  
Normal Breast ◽  
Epidermal Differentiation ◽  
Breast Cancer Patients ◽  
Human Breast ◽  
Normal Human Breast ◽  
Differentiation Marker ◽  
Breast Gland

Cells of the human breast gland express an array of keratins, of which some are used for characterizing both normal and neoplastic breast tissue. However, the expression pattern of certain keratins has yet to be detailed. Here, the expression of a differentiation marker of epidermal epithelium, keratin 10 (K10), was investigated in the human breast gland. While in normal breast tissue generally less than 1% of luminal epithelial cells expressed K10, in women >30 years of age glandular structures with K10-positive (K10pos) cells were found at higher frequency than in younger women. K10pos cells belong to a mature luminal compartment as they were negative for cKIT, positive for Ks20.8, and mostly non-cycling. In breast cancer, around 16% of primary breast carcinomas tested were positive for K10 by immunohistochemistry. Interestingly, K10pos tumor cells generally exhibit features of differentiation similar to their normal counterparts. Although this suggests that K10 is a marker of tumor differentiation, data based on gene expression analysis imply that high levels of K10 dictate a worse outcome for breast cancer patients. These findings can form the basis of future studies that should unravel which role K10 may play as a marker of breast cancer:

scholarly journals Accelerated aging in normal breast tissue of women with breast cancer

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Shoghag Panjarian ◽  
Jozef Madzo ◽  
Kelsey Keith ◽  
Carolyn M. Slater ◽  
Carmen Sapienza ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Dna Methylation ◽  
Anomaly Detection ◽  
Breast Tissue ◽  
Preventive Intervention ◽  
Normal Breast Tissue ◽  
Accelerated Aging ◽  
Normal Breast ◽  
Age Related ◽  
Unsupervised Anomaly Detection

Abstract Background DNA methylation alterations have similar patterns in normal aging tissue and in cancer. In this study, we investigated breast tissue-specific age-related DNA methylation alterations and used those methylation sites to identify individuals with outlier phenotypes. Outlier phenotype is identified by unsupervised anomaly detection algorithms and is defined by individuals who have normal tissue age-dependent DNA methylation levels that vary dramatically from the population mean. Methods We generated whole-genome DNA methylation profiles (GSE160233) on purified epithelial cells and used publicly available Infinium HumanMethylation 450K array datasets (TCGA, GSE88883, GSE69914, GSE101961, and GSE74214) for discovery and validation. Results We found that hypermethylation in normal breast tissue is the best predictor of hypermethylation in cancer. Using unsupervised anomaly detection approaches, we found that about 10% of the individuals (39/427) were outliers for DNA methylation from 6 DNA methylation datasets. We also found that there were significantly more outlier samples in normal-adjacent to cancer (24/139, 17.3%) than in normal samples (15/228, 5.2%). Additionally, we found significant differences between the predicted ages based on DNA methylation and the chronological ages among outliers and not-outliers. Additionally, we found that accelerated outliers (older predicted age) were more frequent in normal-adjacent to cancer (14/17, 82%) compared to normal samples from individuals without cancer (3/17, 18%). Furthermore, in matched samples, we found that the epigenome of the outliers in the pre-malignant tissue was as severely altered as in cancer. Conclusions A subset of patients with breast cancer has severely altered epigenomes which are characterized by accelerated aging in their normal-appearing tissue. In the future, these DNA methylation sites should be studied further such as in cell-free DNA to determine their potential use as biomarkers for early detection of malignant transformation and preventive intervention in breast cancer.

scholarly journals Complex Dielectric Coefficient of Breast Phantom Prepared for Breast Cancer Detection

2013 ◽  
Vol 123 (2) ◽  
pp. 464-466 ◽  
Author(s):  
A. Sayinti ◽  
E. Açikalin ◽  
K. Çoban ◽  
A. Vertii
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Breast Phantom ◽  
Dielectric Coefficient

Effects of oestrogen on gene expression in epithelium and stroma of normal human breast tissue

2006 ◽  
Vol 13 (2) ◽  
pp. 617-628 ◽  
Author(s):  
C L Wilson ◽  
A H Sims ◽  
A Howell ◽  
C J Miller ◽  
R B Clarke
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Cell Proliferation ◽  
Breast Tissue ◽  
Epithelial Cell Proliferation ◽  
Human Breast ◽  
Human Breast Tissue ◽  
Tissue Microenvironment ◽  
Normal Human Breast ◽  
Normal Human

Oestrogen (E) is essential for normal and cancer development in the breast, while anti-oestrogens have been shown to reduce the risk of the disease. However, little is known about the effect of E on gene expression in the normal human breast, particularly when the epithelium and stroma are intact. Previous expression profiles of the response to E have been performed on tumour cell lines, in the absence of stroma. We investigated gene expression in normal human breast tissue transplanted into 9–10-week-old female athymic nude (Balb/c nu/nu) mice. After 2 weeks, when epithelial proliferation is minimal, one-third of the mice were treated with 17β-oestradiol (E2) to give human luteal-phase levels in the mouse, which we have previously shown to induce maximal epithelial cell proliferation. RNA was isolated from treated and untreated mice, labelled and hybridized to Affymetrix HG-U133A (human) GeneChips. Gene expression levels were generated using BioConductor implementations of the RMA and MAS5 algorithms. E2 treatment was found to represent the largest source of variation in gene expression and cross-species hybridization of mouse RNA from xenograft samples was demonstrated to be negligible. Known E2-responsive genes (such as TFF1 and AREG), and genes thought to be involved in breast cancer metastasis (including mammoglobin, KRT19 and AGR2), were upregulated in response to E treatment. Genes known to be co-expressed with E receptor α in breast cancer cell lines and tumours were both upregulated (XBP-1 and GREB1) and downregulated (RARRES1 and GATA3). In addition, genes that are normally expressed in the myoepithelium and extracellular matrix that maintain the tissue microenvironment were also differentially expressed. This suggests that the response to oestrogen in normal breast is highly dependent upon epithelial–stromal/myoepithelial interactions which maintain the tissue microenvironment during epithelial cell proliferation.

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