scholarly journals Circulating Phospholipids as Biomarkers of Breast Cancer: A Review

2016 ◽  
Vol 10 ◽  
pp. BCBCR.S40693 ◽  
Author(s):  
Dharmica April Haridatt Mistry ◽  
Peter William French
Keyword(s):  
Breast Cancer ◽  
Nucleic Acid ◽  
Early Detection ◽  
Cancer Detection ◽  
Gold Standard ◽  
Cellular Level ◽  
Breast Cancer Tissue ◽  
Breast Cancer Detection ◽  
Cancer Tissue ◽  
Common Cancer

Breast cancer is the most common cancer in women and the second leading cause of cancer deaths in women. The key to surviving breast cancer is early detection and treatment. Current technologies rely heavily on imaging of the breast, and although considered the gold standard, they have their limitations. There is a need for a more accurate screening test for women of all ages, which can detect the cancer at a cellular level and before metastasis. There have been extensive studies into markers for breast cancer including protein and nucleic acid biomarkers, but to date, these have been unsuccessful. A growing field of interest is the association between breast cancer (tissue and cells) and lipids, which is documented in the literature, and may be considered as a leading candidate in the breast cancer detection space.

An inverse problem approach to stiffness mapping for early detection of breast cancer: tissue phantom experiments

2018 ◽  
Vol 27 (7) ◽  
pp. 1006-1037 ◽  
Author(s):  
Lorraine G. Olson ◽  
Robert D. Throne ◽  
Adam J. Nolte ◽  
Allison Crump ◽  
Kaelyn Griffin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Inverse Problem ◽  
Early Detection ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Tissue Phantom ◽  
Phantom Experiments

Potential Use of Biomarkers to Augment Clinical Decisions for the Early Detection of Breast Cancer

2014 ◽  
Vol 10 (02) ◽  
pp. 103 ◽  
Author(s):  
Alan B Hollingsworth ◽  
David E Reese ◽  
◽  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Sensitivity And Specificity ◽  
Cancer Detection ◽  
Survival Rates ◽  
High Sensitivity ◽  
Standard Of Care ◽  
Serum Biomarkers ◽  
Breast Cancer Detection ◽  
Breast Cancers

Breast cancer remains a significant worldwide health problem, despite the fact that early detection is associated with excellent survival rates. Currently, a substantial proportion of breast cancers are not detected using routine screening. Therefore, there is a need to identify a technology that can improve the precision and accuracy of early breast cancer detection. Biomarkers are attractive in that they can potentially detect early cancers with high sensitivity, while distinguishing between benign disease and invasive cancers. Many commonly used serum biomarkers have limited use in screening assays for breast cancer as single agents due to the heterogeneous nature of breast cancer. However, the use of protein panels that detect multiple serum biomarkers offer the potential for enhanced sensitivity and specificity in a clinical setting. Recently, a serum biomarker test comprising five serum biomarkers for breast cancer was clinically validated and showed high sensitivity and specificity. Additional panels have been developed that combine serum protein biomarkers (SPB) and tumor-associated autoantibodies (TAb) to further enhance the clinical utility of the assay. Serum biomarkers are currently not the standard of care and are not recommended in any detection guidelines. However, tumor biomarkers are used in the breast cancer setting to determine the course of care. The purpose of this article is to review recent advances in SPB, TAb, and biomarkers used in breast cancer detection to provide a perspective on how these technologies may offer benefit when combined with current imaging modalities.

Feasibility of New-generation Infrared Imaging Screening for Breast Cancer in Rural Communities

2010 ◽  
Vol 06 ◽  
pp. 60
Author(s):  
Francisco Gutierrez-Delgado ◽  
José Guadalupe Vázquez-Luna ◽  
◽  
Keyword(s):  
Breast Cancer ◽  
Rural Communities ◽  
Early Detection ◽  
Early Breast Cancer ◽  
Cancer Detection ◽  
Infrared Imaging ◽  
Breast Cancer Detection ◽  
Southern Mexico ◽  
Breast Thermography ◽  
New Generation

Breast cancer is a major public health problem worldwide. Important advances have improved survival, but early detection remains the main clinical challenge in reducing mortality. Currently, mammography is the ‘gold standard’ tool for breast cancer screening. However, the search for an early breast cancer detection method is the subject of extensive research. Although infrared imaging or breast thermography for early breast cancer detection has been evaluated since the late 1950s, the negative results reported in 1979 by the Breast Cancer Detection and Demonstration Project decreased interest in this imaging modality. Advances in infrared imaging and reduced equipment costs have, however, renewed interest in breast thermography. Breast cancer in developing countries requires new strategies to increase early detection and access to care. In this article, we highlight the principles and advances of infrared imaging technology and describe our experience with new-generation infrared imaging for early breast cancer detection in rural communities in southern Mexico.

scholarly journals Microstrip Patch Antenna Design for Early Breast Cancer Detection

2020 ◽  
Vol 8 (6) ◽  
pp. 2698-2705
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Cancer Detection ◽  
Patch Antenna ◽  
Microstrip Patch Antenna ◽  
Breast Cancer Detection ◽  
Antenna Design ◽  
Patch Antennas ◽  
Microstrip Patch Antennas ◽  
Microstrip Patch

Breast cancer is one of the leading causes of death among women all over the world. It is the abnormal growth of breast tissues in multistage process. As the stage increases, the chances of treatment and probability of survival of patient decreases. Hence, early detection and diagnosis of breast cancer is must. Microwave imaging technique for early detection of breast cancer is a promising technique to detect tumor and it also have several advantages over other existing techniques for breast cancer detection, such as Breast Self-Examination (BSE), Clinical Breast Examination (CBE), Breast Ultrasound, Computerized Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Mammography and other breast screening methods. One of them is non-ionizing radiations. Other advantages include portability, inexpensive system and safe for human body. Microwave imaging employs microstrip patch antenna as its integral part, for transmitting and receiving microwaves. Microstrip patch antenna as name suggests is a low weight, smaller size antenna. Depending upon substrate material, microstrip patch antennas can be categorized as flexible and non-flexible antennas. Flexible microstrip patch antennas, mostly consisting of textile materials are becoming the preferred choice for most of the researchers. This paper presents recent trends in microstrip patch antenna design for early breast cancer detection and a comparison among them in terms of substrate, feeding techniques, Specific Absorption Rate (SAR), E and H field, Return Loss, Voltage Standing Wave Ratio (VSWR) and some other parameters.

scholarly journals Model for Early Detection of Breast Cancer in Low-Resource Areas: The Experience in Peru

2018 ◽  
pp. 1-7 ◽  
Author(s):  
Carolyn Bain ◽  
Tara Hayes Constant ◽  
Ines Contreras ◽  
Ana Maria Burga Vega ◽  
Jose Jeronimo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Cancer Detection ◽  
Rural Areas ◽  
Community Outreach ◽  
Northern Region ◽  
Screening Mammography ◽  
Breast Cancer Detection ◽  
Local Health ◽  
Low Resource

Purpose Late-stage breast cancer detection should be something of the past; however, it is still all too common in low-resource areas, including Peru, where 57% of women diagnosed with cancer are diagnosed at stage III or IV disease. Early detection of breast cancer is feasible in low-resource semirural and rural areas where mammography is rarely accessible. Methods PATH collaborated with Peruvian health institutions at local, regional, and national levels to design and implement a model of care for the early detection of breast cancer in Peru. The model includes training health promoters for community outreach, professional midwives in clinical breast exam, doctors to perform fine-needle aspiration biopsy sampling with ultrasound to triage, and patient navigators to ensure patients follow through with treatment. Results In a northern region of Peru, 400 individuals, including health promoters, midwives, doctors, and volunteers, received early-detection training in two phases. In Peru, local health professionals continue to refine and improve methods and materials using locally available resources, and the Peruvian health information system now includes specific breast cancer detection categories. Despite challenges and limited resources, the model is effective, and partnership with government health administrations improves health systems and benefits the population. Conclusion Given the absence of screening mammography, the public health challenge is to bring breast cancer early detection and diagnostic services closer to women’s homes and to ensure appropriate follow-up and care. The model is eminently transferable with appropriate adaptation and should now be tested in other settings within and outside of Peru.

Unexpected Breast Cancer Detection after Outpatient Biopsy for Benign Lesion

1981 ◽  
Vol 67 (5) ◽  
pp. 437-441 ◽  
Author(s):  
Sergio Di Pietro ◽  
Alberto Azzarelli ◽  
Mirella Merson
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Cancer Detection ◽  
Early Detection Of Cancer ◽  
Breast Biopsy ◽  
Benign Lesion ◽  
Nipple Discharge ◽  
Waiting Lists ◽  
Breast Cancer Detection ◽  
Unexpected Findings

At the Istituto Nazionale Tumori of Milan, in its Outpatient Department, 1302 breast surgical biopsies were carried out in 1978. Fibroadenomas occurred in 44.2% and benign dysplasias in 39.3%. Sixty-two cancers (4.8%) and 23 atypical hyperplasias (1.8%) were unexpected findings, with an increasing incidence in women over 50. Seventy-nine duct resections were performed for significant nipple discharge and revealed 5 unexpected carcinomas and 28 papillomas or papillomatosis. In our opinion and experience, this procedure of performing breast biopsy in the presence of a solid lump in women over 30 without hospitalization improves early detection of cancer, lowers costs, cuts down admission waiting lists and increases the number of women who better accept a surgical diagnosis and treatment.

scholarly journals Application of Nipple Aspirate Fluid miRNA Profiles for Early Breast Cancer Detection and Management

2019 ◽  
Vol 20 (22) ◽  
pp. 5814 ◽  
Author(s):  
Cathy B Moelans ◽  
Susana I. S. Patuleia ◽  
Carla H. van Gils ◽  
Elsken van der Wall ◽  
Paul J. van Diest
Keyword(s):  
Breast Cancer ◽  
Early Breast Cancer ◽  
Cancer Detection ◽  
Gold Standard ◽  
Breast Cancer Detection ◽  
Standard Approach ◽  
Nipple Aspirate Fluid

The authors of the recently published review, “Why the Gold Standard Approach by Mammography Demands Extension by Multiomics [...]

scholarly journals A Breast Cancer Detection Using Image Processing and Machine Learning Techniques

2019 ◽  
Vol 8 (3) ◽  
pp. 5250-5256
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Image Processing ◽  
Early Detection ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Image Processing Technique ◽  
Learning Techniques

Routine breast cancer screening allows the disease to be diagnosed and treated prior to it causing noticeable symptoms. During the diagnosis process there are chances of wrong detection hence a less human interfaced system has to be developed, hence the goal of breast cancer detection using machine learning techniques is used to find it before it spreads to the larger extent. Screening refers to tests and exams used to find a disease in people who don’t have any symptom. Early detection means finding and diagnosing a disease earlier than waiting for symptoms to start causing the effect on the neighboring cells. The breast cancer is the second most death causing cancer in humans, one in every ten women are affected by the breast cancer. Breast cancer is not only affecting the women. Men are also prone to get affected by the breast cancer but in smaller rates because of the absence of milk ducts and other lobules related to women. Early detection of the breast cancer helps in reducing the death rates if treated earlier and by proper diagnosis. In this paper the discussion of the various image processing technique done on the image and the CNN, SVM algorithm implementation on dataset images for the classification of malignant and non malignant cells are used and various tests were performed using different other machine learning algorithms and there level of accuracy and difference of various parameters are discussed for image processing MATLAB coding is used.

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