Metabolite profiling of human blood by surface-enhanced Raman spectroscopy for surgery assessment and tumor screening in breast cancer.
Metabolite profiling of human blood by surface-enhanced Raman spectroscopy for surgery assessment and tumor screening in breast cancer. Anal Bioanal Chem. 2020 Jan 21;: Authors: Lin D, Wang Y, Wang T, Zhu Y, Lin X, Lin Y, Feng S Abstract Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for breast cancer care and management. In this work, we analyzed the peripheral blood sample from breast cancer patients with pre- and post-surgery and healthy volunteers using label-free surface-enhanced Raman spectroscopy technology based on silver nanoparticles. Results showed that distinct patterns of blood belonging to specific subjects could be profiled, and corresponding accuracies of 95% and 100% were achieved by multivariate diagnostic algorithm for pre-surgery vs. post-surgery and pre-surgery vs. normal groups, respectively, providing a unique blood analysis method for surgery evaluation as well as tumor screening in breast cancer. Graphical abstract. PMID: 31965246 [PubMed - as supplied by publisher]
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Abstract Initial studies suggest that women living in U.S. territories may experience barriers to appropriate breast cancer diagnosis and treatment. Our purpose was to evaluate mammography screening engagement in U.S. territories compared with U.S. states. Women aged 50-74 years in the 2016 Behavioral Risk Factor Surveillance System survey without personal history of breast cancer were included. Proportions of women reporting mammography use were calculated. Multivariable logistic regression models were used to compare self-reported mammography use in U.S. territories with all U.S. states. Our total study populati...
ara Y Abstract BACKGROUND: To compare the breast cancer detection performance in digital mammograms of a panel of three unaided human readers (HR) versus a stand-alone artificial intelligence (AI)-based Transpara system in a population of Japanese women. METHODS: The subjects were 310 Japanese female outpatients who underwent digital mammographic examinations between January 2018 and October 2018. A panel of three HR provided a Breast Imaging Reporting and Data System (BI-RADS) score, and Transpara system provided an interactive decision support score and an examination-based cancer likelihood score. The area...
ConclusionsCancers were predominantly detected in women undergoing preoperative staging of new invasive lobular carcinoma in the contralateral breast, rather than the Medicare rebate ‐eligible high‐risk screening group.
We read Dr Covington ’s concerns regarding the 2017 ACR Appropriateness Criteria® that categorizes molecular breast imaging as usually not appropriate for breast cancer screening . As the lead authors of that guideline, we have re-reviewed and agree with the prose and the ratings based on the available evidence at the time. We have also read with interest the 2019 article “Comparative Benefit-to-Radiation Risk Ratio of Molecular Breast Imaging, Two-Dimensional Full-Field Digital Mammography With and Without Tomosynthesis, and Synthetic Mammography With Tomosynthesis” .
An artificial intelligence (AI) algorithm trained with a large set of mammography...Read more on AuntMinnie.comRelated Reading: CEDM excels as presurgical diagnosis tool in large study WISDOM breast cancer screening study now open to all Digital mammo for microcalcifications: A mixed bag? Are women with depression less likely to get mammograms? AI helps characterize breast masses on ultrasound
Conclusions:The main risk factors for breast cancer among women in Yemen are divorced marital status, never breastfed a child, having hypertension, family history of malignancy, and postmenopause. Regular screening especially among women with high risk is needed.Keywords:Breast neoplasm, case –control study, risk factors, Yemen
AbstractContrast-enhanced digital mammography (CEDM) is a diagnostic tool for breast cancer detection. Artefacts are observed in about 10% of CEDM examinations. Understanding CEDM artefacts is important to prevent diagnostic misinterpretation. In this article, we have described the artefacts that we have commonly encountered in clinical practice; we hope to ease the recognition and help troubleshoot solutions to prevent or minimise them.
CONCLUSION: A clip displacement of greater than 10 mm was found in 64.5% of cases on MLO views. Therefore, we believe that the reliability of these clips for accurate delineation of the tumour bed in radiotherapy planning is controversial and other methods must be added. PMID: 32008565 [PubMed - in process]
as A Abstract Women presenting with advanced breast cancer tumors are common in Brazil. Little is known about factors contributing to the delay in seeking care. The aim of this study was to identify factors associated with longer time intervals between the onset of breast cancer symptoms and the first medical visit in the Federal District, Brazil. The analysis included 444 symptomatic women with incident breast cancer, interviewed between September, 2012 and September, 2014, during their admission for breast cancer treatment in nine public hospitals in the Federal District. Patients with metastatic disease at diag...