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.

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 Additional Breast Cancer Detection at Digital Screening Mammography through Quality Assurance Sessions between Technologists and Radiologists

Radiology ◽  
2020 ◽  
Vol 294 (3) ◽  
pp. 509-517 ◽  
Author(s):  
Angela M. P. Coolen ◽  
Bram Korte ◽  
Vivianne C. G. Tjan-Heijnen ◽  
Hans W. Bodewes ◽  
Adri C. Voogd ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Assurance ◽  
Cancer Detection ◽  
Screening Mammography ◽  
Breast Cancer Detection

scholarly journals Deep Learning to Improve Breast Cancer Detection on Screening Mammography

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Li Shen ◽  
Laurie R. Margolies ◽  
Joseph H. Rothstein ◽  
Eugene Fluder ◽  
Russell McBride ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Deep Learning ◽  
Cancer Detection ◽  
Screening Mammography ◽  
Breast Cancer Detection

Implementation of a direct patient callback system improves compliance for additional breast imaging and early breast cancer detection

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 6073-6073
Author(s):  
D. Richard-Kowalski ◽  
D. Termeulen ◽  
M. Reed ◽  
R. Reyes ◽  
M. Kuliga ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Breast Cancer ◽  
Cancer Detection ◽  
Breast Imaging ◽  
Recall Rate ◽  
Screening Mammography ◽  
Breast Cancer Detection ◽  
Detection Methods ◽  
Diagnose Breast Cancer ◽  
Additional Imaging

6073 Background: Existing patient recall systems usually involve contacting the referring physician who then notifies the patient to schedule a return visit for further imaging. We set out to determine whether a direct patient callback system would improve patient compliance in returning for additional imaging including magnification, spot compression, and ultrasound, and whether that would translate to an improvement in early breast cancer detection. Methods: Beginning on 4/1/2004, we prospectively identified all patients whose screening mammograms were read as having an incomplete assessment that required additional imaging (ACR BIRADS 0). Those patients were contacted directly via telephone to return for additional views. Results: Between 11/1/2002 and 3/31/3004, 1142 patients with incomplete screening mammography were identified and the referring physicians were contacted. 956 of 1142 (84%) patients returned and underwent additional breast imaging. Between 4/1/2004 and 12/31/2005, 1,336 patients with incomplete screening mammography were contacted directly to return for additional imaging. 1,307 of 1,336 (98%) patients returned and underwent additional breast imaging. (p < 0.0001, Fisher’s exact test). 125 of the 1,307 (8.5%) of the subsequent exams were found to be suspicious and biopsy was recommended (ACR BIRADS 4 or 5). Conclusions: Our new system of contacting patients with incomplete mammography has significantly increased our recall rate. Implementation of this system has enabled us to identify those patients whose mammograms are suspicious and ultimately diagnose breast cancer earlier. Direct patient callback has become standard policy and we are recommending this system for all radiology recall examinations. No significant financial relationships to disclose.

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.

Breast Cancer Detection Rates by Screening Mammography in Elderly Women

1997 ◽  
Vol 3 (6) ◽  
pp. 331-336 ◽  
Author(s):  
Renée A. Harrison ◽  
John W. Waterbor ◽  
Susan Mulligan ◽  
Wanda K. Bernreuter ◽  
Sang Y. Han ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Elderly Women ◽  
Screening Mammography ◽  
Breast Cancer Detection ◽  
Detection Rates

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.

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