scholarly journals Breast-cancer detection using blood-based infrared molecular fingerprints

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kosmas V. Kepesidis ◽  
Masa Bozic-Iven ◽  
Marinus Huber ◽  
Nashwa Abdel-Aziz ◽  
Sharif Kullab ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Pilot Study ◽  
Cancer Detection ◽  
Early Stage ◽  
Statistical Significance ◽  
Breast Cancer Detection ◽  
Support Vector ◽  
Molecular Fingerprinting ◽  
Statistical Significance Testing

Abstract Background Breast cancer screening is currently predominantly based on mammography, tainted with the occurrence of both false positivity and false negativity, urging for innovative strategies, as effective detection of early-stage breast cancer bears the potential to reduce mortality. Here we report the results of a prospective pilot study on breast cancer detection using blood plasma analyzed by Fourier-transform infrared (FTIR) spectroscopy – a rapid, cost-effective technique with minimal sample volume requirements and potential to aid biomedical diagnostics. FTIR has the capacity to probe health phenotypes via the investigation of the full repertoire of molecular species within a sample at once, within a single measurement in a high-throughput manner. In this study, we take advantage of cross-molecular fingerprinting to probe for breast cancer detection. Methods We compare two groups: 26 patients diagnosed with breast cancer to a same-sized group of age-matched healthy, asymptomatic female participants. Training with support-vector machines (SVM), we derive classification models that we test in a repeated 10-fold cross-validation over 10 times. In addition, we investigate spectral information responsible for BC identification using statistical significance testing. Results Our models to detect breast cancer achieve an average overall performance of 0.79 in terms of area under the curve (AUC) of the receiver operating characteristic (ROC). In addition, we uncover a relationship between the effect size of the measured infrared fingerprints and the tumor progression. Conclusion This pilot study provides the foundation for further extending and evaluating blood-based infrared probing approach as a possible cross-molecular fingerprinting modality to tackle breast cancer detection and thus possibly contribute to the future of cancer screening.

scholarly journals ROLE OF MODERN IMAGING TECHNIQUES IN ADDITIONAL VIZUALISATION OF BREAST CANCER: LITERATURE REVIEW

2021 ◽  
Vol 20 (4) ◽  
pp. 99-107
Author(s):  
A. S. Ainakulova ◽  
D. R. Kaidarova ◽  
Zh. Zh. Zholdybai ◽  
N. I. Inozemtceva ◽  
M. O. Gabdullina ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Cancer Detection ◽  
Breast Imaging ◽  
Screening Program ◽  
Early Stage ◽  
Imaging Techniques ◽  
Breast Cancer Detection ◽  
Cancer Screening Program

Background. Breast cancer is the most common cancer in women worldwide. Despite advances in treatment of breast cancer, early-stage breast cancer detection is limited by screening mammography and often requires additional breast imaging.The purpose of the study was to analyze available data on modern imaging techniques of additional breast visualization used for improving breast cancer screening.Material and methods. The review includes data from randomized controlled trials and meta-analyzes on the effectiveness of breast imaging techniques for early-stage breast cancer detection. The search was carried out in pubmed, Web of science, scopus and cochrane library databases. Out of 100 publications published over the past 7 years, 51 were included in the presented review.Results. Breast cancer screening using various imaging techniques has been carried out in the world for more than 30 years, and over the past 10 years significant progress has been made in improving X-ray, ultrasound and magnetic resonance technologies in the early breast cancer detection. At present, healthcare organizers are faced with the question of choosing a vector for improving the breast cancer screening program by introducing digital tomosynthesis, contrast spectral mammography, or accelerated mri. According to the current results of the analysis of literature data, contrast spectral mammography and accelerated mri have the highest sensitivity, but studies of sensitivity, specificity, positive and negative predictive values (ppv, npv) are ongoing.Conclusion. The data presented in the review confirm the necessity for finding the vector for improving the breast cancer screening program using multicenter prospective trials.

Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine

2010 ◽  
Vol 36 (3) ◽  
pp. 1503-1510 ◽  
Author(s):  
U. Rajendra Acharya ◽  
E. Y. K. Ng ◽  
Jen-Hong Tan ◽  
S. Vinitha Sree
Keyword(s):  
Breast Cancer ◽  
Support Vector Machine ◽  
Cancer Detection ◽  
Texture Features ◽  
Breast Cancer Detection ◽  
Support Vector

scholarly journals Breast Cancer Screening Trials: Endpoints and Overdiagnosis

2020 ◽  
Author(s):  
Ismail Jatoi ◽  
Paul F Pinsky
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Cancer Detection ◽  
Primary Endpoint ◽  
Tumor Detection ◽  
Breast Cancer Detection ◽  
Detection Rates ◽  
Screening Strategies ◽  
Screening Trials

Abstract Screening mammography was assessed in 9 randomized trials initiated between 1963 and 1990, with breast cancer-specific mortality as the primary endpoint. In contrast, breast cancer detection has been the primary endpoint in most screening trials initiated during the past decade. These trials have evaluated digital breast tomosynthesis, magnetic resonance imaging, and ultrasound, and novel screening strategies have been recommended solely on the basis of improvements in breast cancer detection rates. Yet, the assumption that increases in tumor detection produce reductions in cancer mortality has not been validated, and tumor-detection endpoints may exacerbate the problem of overdiagnosis. Indeed, the detection of greater numbers of early stage breast cancers in the absence of a subsequent decline in rates of metastatic cancers and cancer-related mortality is the hallmark of overdiagnosis. There is now evidence to suggest that both ductal carcinoma in situ and invasive cancers are overdiagnosed as a consequence of screening. For each patient who is overdiagnosed with breast cancer, the adverse consequences include unnecessary anxiety, financial hardships, and a small risk of morbidity and mortality from unnecessary treatments. Moreover, the overtreatment of breast cancer, as a consequence of overdiagnosis, is costly and contributes to waste in health-care spending. In this article, we argue that there is a need to establish better endpoints in breast cancer screening trials, including quality of life and composite endpoints. Tumor-detection endpoints should be abandoned, because they may lead to the implementation of screening strategies that increase the risk of overdiagnosis.

scholarly journals Density and tailored breast cancer screening: practice and prediction – an overview

2018 ◽  
Vol 7 (9) ◽  
pp. 205846011879121 ◽  
Author(s):  
Georg J Wengert ◽  
Thomas H Helbich ◽  
Panagiotis Kapetas ◽  
Pascal AT Baltzer ◽  
Katja Pinker
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Breast Density ◽  
Cancer Detection ◽  
Public Awareness ◽  
Breast Cancer Detection ◽  
Screening Methods ◽  
Average Risk ◽  
Screening Practice

Mammography, as the primary screening modality, has facilitated a substantial decrease in breast cancer-related mortality in the general population. However, the sensitivity of mammography for breast cancer detection is decreased in women with higher breast densities, which is an independent risk factor for breast cancer. With increasing public awareness of the implications of a high breast density, there is an increasing demand for supplemental screening in these patients. Yet, improvements in breast cancer detection with supplemental screening methods come at the expense of increased false-positives, recall rates, patient anxiety, and costs. Therefore, breast cancer screening practice must change from a general one-size-fits-all approach to a more personalized, risk-based one that is tailored to the individual woman’s risk, personal beliefs, and preferences, while accounting for cost, potential harm, and benefits. This overview will provide an overview of the available breast density assessment modalities, the current breast density screening recommendations for women at average risk of breast cancer, and supplemental methods for breast cancer screening. In addition, we will provide a look at the possibilities for a risk-adapted breast cancer screening.

scholarly journals Machine Learning and Infrared Thermography for Breast Cancer Detection

Proceedings ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 45 ◽  
Author(s):  
Caroline Gonçalves ◽  
Amanda Leles ◽  
Lucimara Oliveira ◽  
Gilmar Guimaraes ◽  
Juliano Cunha ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Infrared Thermography ◽  
Cancer Detection ◽  
Low Cost ◽  
Breast Cancer Detection ◽  
Support Vector ◽  
Patients With Cancer ◽  
Vector Machines ◽  
Malignant Changes ◽  
Harmful Radiation

Breast cancer kills a large number of women around the world. Infrared thermography is a promising screening technique which does not involve harmful radiation for the patient and has a relatively low cost. This work proposes an approach for classifying patients into three different classes using infrared images: healthy patients, patients with benign changes and patients with cancer (malignant changes). A set of features is extracted from each image and two approaches are used in the classification process. The first is based on Artificial Neural Networks while the second is based on Support Vector Machines. The proposed approach shows a great potential to be used as a screening diagnosis technique for early breast cancer detection.

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