Optical Spectroscopy

1988 ◽  
Vol 29 (5) ◽  
pp. 497-503 ◽  
Author(s):  
R. L. Egan ◽  
P. D. Dolan
Keyword(s):  
Breast Cancer ◽  
Optical Spectroscopy ◽  
Breast Imaging ◽  
Spectroscopic Data ◽  
Non Invasive ◽  
Dense Breasts ◽  
Sensitivity Range ◽  
Imaging Approach ◽  
High Assurance ◽  
Breast Tissues

Non-invasive optical spectroscopy consistently delineates compositional and physiologic properties of breast tissues serving as a premammography risk marker for cancer or yielding a high assurance of no such risk. We believe this new non-imaging approach depends on biochemistry of tissues rather than on the macroscopic physical properties involved with most breast imaging modalities. After establishing the procedure as inexpensive, physician independent, simple, requiring only a few minutes and appealing to women, it was carried out in two institutions on 1739 women referred for routine mammography. Of 166 breast biopsies on these women 77 were cancer by histology. An automated computerized analysis of the spectroscopic data yielded a sensitivity of 87 per cent, a specificity of 74 per cent and a negative predictive value of 99 per cent. Optical spectroscopy shows promise in identifying women at a higher risk for developing cancer, cases of non-infiltration carcinomas where dense breasts limit mammographic detection, and even clustered calcifications not associated with a mass. The relative risk of breast cancer was 16.5 times as great with a positive spectroscopic value at a sensitivity range of 87 per cent. Placement of 87 per cent of all breast cancer cases in a subset of 28.7 per cent of all women will yield a population of women in whom mammography will be approximately four times as efficient.

Examining Oncotype DX testing among a diverse patient population in North Carolina.

2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 154-154
Author(s):  
Katie Marsh ◽  
Thad Benefield ◽  
Sheila Lee ◽  
Louise Henderson
Keyword(s):  
Breast Cancer ◽  
North Carolina ◽  
Family History ◽  
Urban Areas ◽  
Breast Imaging ◽  
White Women ◽  
Dense Breasts ◽  
Diverse Patient Population ◽  
History Of ◽  
To Receive

154 Background: The Oncotype DX (ODX) is a 21-gene assay that quantifies the risk of breast cancer recurrence and predicts chemotherapy benefit among early stage, hormone-receptor positive patients. Most major insurance carriers now cover testing. We sought to determine factors associated with ODX testing in a diverse patient population. Methods: Data from the Carolina Mammography Registry (CMR), a breast imaging registry in North Carolina (NC) was used for this analysis. We included women ages 18 and over diagnosed with breast cancer from 2010-2017 who had a breast imaging exam at a CMR facility with no personal history of breast cancer. ODX testing was obtained through linkage with the NC Central Cancer Registry. Using a backwards elimination selection strategy, we explored the association of patient residence (urban versus rural), age, race, breast density, and family history of breast cancer on receipt of ODX testing. Results: Our population included 12,329 breast cancers among women that were 24.2% non-white with a median age of 64 years (11.2% < 50 years at time of diagnosis). The majority of our sample had dense breasts (52.0%), no family history of breast cancer (80.9%), and lived in urban areas (66.3%). Use of ODX testing increased from 15.7% in 2010 to 24.8% in 2017 (p-value for time trend < 0.00001). Compared with white women, black women were less likely to receive ODX testing (aOR = 0.57; 95% CI: 0.51-0.65), as were women of other races (aOR = 0.68; 95% CI: 0.51-0.90). We found that for every year age increased, the likelihood of receiving ODX testing decreased (aOR = 0.98, 95% CI: 0.97-0.98). Patient residence and breast density influenced the association of ODX testing. Among women in urban areas, women with dense versus non-dense breasts were more likely to receive ODX testing (aOR = 1.13; 95% CI: 1.01-1.27). Among women in rural areas, density was not associated with ODX testing (aOR = 0.91; 95% CI: 0.78-1.06). Conclusions: In our cohort, ODX testing was more common among younger white women with dense breast tissue living in urban areas of NC. Additional research to understand differences in testing by rural/urban areas are warranted to ensure that all appropriate patients receive this genetic assay.

Screening Ultrasound for Women with Dense Breasts in the Age of Patient-centered Care

2018 ◽  
Vol 1 ◽  
pp. 14
Author(s):  
Stamatia Destounis ◽  
Andrea Arieno ◽  
Amanda Santacroce
Keyword(s):  
Breast Cancer ◽  
Risk Factor ◽  
Breast Imaging ◽  
Breast Tissue ◽  
Patient Centered Care ◽  
Dense Breast ◽  
Patient Centered ◽  
Dense Breast Tissue ◽  
Dense Breasts ◽  
Centered Care

As the field of medicine moves toward practicing patient-centered care, radiologists in breast imaging must continue to look for ways to increase the value of their practice in the eyes of patients. Providing adjunct screening of women with dense breasts provides such an opportunity. The presence of dense breast tissue is not only an independent risk factor for breast cancer but also a risk factor for the delayed diagnosis of breast cancer as dense tissue reduces the efficacy of screening mammograms due to the tissue masking effect. As legislation for notifying women of their breast density becomes commonplace, both women and referring physicians need to understand the risks of dense breast tissue as well as the benefits of additional screening affords. Breast radiologists can become integral to their patients’ care team by offering education to both referring providers and patients on the topic of dense breasts and supplemental screening solutions, such as screening breast ultrasound, which has been shown to have benefit in overcoming mammography’s shortcomings in this demographic of women.

Electro-impedance mammograms for automatic breast cancer screening: First insights on Mexican patients

2021 ◽  
pp. 1-13
Author(s):  
Rosario Lissiet Romero Coripuna ◽  
Delia Irazú Hernández Farías ◽  
Blanca Olivia Murillo Ortiz ◽  
Teodoro Córdova Fraga
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Data Augmentation ◽  
Screening Tools ◽  
Health Concern ◽  
Important Health ◽  
Invasive Method ◽  
First Time ◽  
Breast Tissues ◽  
Mexican Patients

Breast cancer is a very important health concern around the world. Early detection of such a disease increases the chances of survival. Among the available screening tools, there is the Electro-Impedance Mammography (EIM), which is a novel and less invasive method that captures the potential difference stored in breast tissues under the assumption that electrical properties among normal and pathologically altered tissues are different. In this paper, we address breast cancer detection as a multi-class problem aiming to determine the corresponding label in terms of the Breast Imaging Electrical Impedance classification system, the standard used by physicians for interpreting an EIM mammogram. For experimental purposes, for the first time in the literature, we took advantage of a dataset comprising EIM of Mexican patients. Aiming to establish a baseline for this task, traditional supervised learning methods were used together with two different feature extraction techniques: raw pixel data and transfer learning. Besides, data augmentation was exploited for compensating data imbalance. Different experimental settings were evaluated reaching classification rates over 0.85 in F-score. KNN emerges as a very promising classifier for addressing this task. The obtained results allow us to validate the usefulness of traditional methods for classifying electro-impedance mammograms.

scholarly journals Age-Specific Breast Density Changes in Taiwanese Women: A Cross-Sectional Study

2020 ◽  
Vol 17 (9) ◽  
pp. 3186
Author(s):  
Yu-San Liao ◽  
Jia-Yu Zhang ◽  
Yuan-Chi Hsu ◽  
Min-Xuan Hong ◽  
Li-Wen Lee
Keyword(s):  
Breast Cancer ◽  
Body Composition ◽  
Breast Density ◽  
Breast Imaging ◽  
Cross Sectional Study ◽  
Dense Area ◽  
Cross Sectional ◽  
Women Subjects ◽  
Dense Breasts ◽  
Taiwanese Women

Breast density is a risk factor for breast cancer. This study explored distribution of mammographic density quantitatively and qualitatively in a wide age range of Taiwanese women. Subjects with negative and benign mammographic findings were included. According to the Breast Imaging Reporting and Data System, the proportion of extremely dense breasts declined from 58.0% in women < 30 years to 1.9% in women > 74 years. More than 80% of mammograms in women < 55 years old were classified as extremely or heterogeneously dense, while the proportion of dense breasts was still high in women aged 60–64 years (59.3%). The absolute dense area of the breast declined from 35.8% in women < 30 years to 18.5% in women > 74 years. The correlation between breast density and age was significant, with and without controlling for the effect of body composition (p < 0.001), implying that the relationship between breast density and age was not wholly related to body composition. In conclusion, the higher breast density in Taiwanese women aged 60–64 years was comparable to that of Western women aged 40–44 years in the literature. This suggests that breast cancer screening using mammography may be more challenging for Asian women than for Western women of the same age.

Supplemental Screening for Women with Dense Breasts: What Do Practicing Radiologists Recommend?

2019 ◽  
Vol 1 (1) ◽  
pp. 32-36 ◽  
Author(s):  
Tisha Singer ◽  
Ana P Lourenco ◽  
Grayson L Baird ◽  
Martha B Mainiero
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Breast Imaging ◽  
Digital Breast Tomosynthesis ◽  
Risk Groups ◽  
High Rate ◽  
Breast Tomosynthesis ◽  
Dense Breasts ◽  
Additional Imaging ◽  
Magnetic Resonance Imaging Mri

Abstract Objective To evaluate radiologists’ supplemental screening recommendations for women with dense breasts, at average, intermediate, or high risk of breast cancer, and to determine if there are differences between their recommendations for their patients, their friends and family, and themselves. Methods This is an anonymous survey of Society of Breast Imaging (SBI) members. Demographics, knowledge of breast density as a risk factor, and recommendations for screening with digital breast tomosynthesis (DBT), ultrasound (US), and magnetic resonance imaging (MRI) in women with dense breasts, at average, intermediate, or high- risk of breast cancer were assessed. The likelihood of their recommending the screening test for their patients, their family and friends, and themselves was assessed on a Likert scale from 0 to 4 (0 = “not at all likely” to 4 = “extremely likely”). Results There were 295 responses: 67% were women, and breast imaging comprised 95% of their practice. Among participants, 53% correctly answered the question on relative risk of breast cancer when comparing extremely dense versus fatty breasts, and 57% when comparing heterogeneously dense versus scattered breasts. US is recommended at a relatively low rate (1.0–1.4 on the 0–4 scale), regardless of risk. DBT is recommended at a relatively high rate (2.5–3.0 on the 0–4 scale), regardless of risk status. MR is recommended mainly for those at high risk (3.6 on the 0–4 scale). Radiologists were more likely to recommend additional imaging for themselves than for their patients and their family and friends. Conclusion For women with dense breasts, radiologists are “somewhat likely” to recommend US and “likely” to “very likely” to recommend DBT regardless of risk group. They are “very likely” to recommend MRI for high-risk groups.

scholarly journals Heterogeneity Aspects of Breast for Breast Cancer Patients Change due to COVID-19

2020 ◽  
Author(s):  
Shawni Dutta ◽  
Samir Kumar Bandyopadhyay
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Patients ◽  
Private Hospitals ◽  
Size And Shape ◽  
Non Invasive ◽  
Government Hospitals ◽  
Before And After ◽  
Breast Tissues

Breast cancer develops from cells lining the milk ducts and slowly grows into a lump or a tumour. Breast cancer may be invasive or non-invasive. Invasive cancer spreads from the milk duct or lobule to other tissues in the breast, whereas, non-invasive ones lack the ability to invade other breast tissues. Non-invasive breast cancer is called in situ and may remain inactive for entire lifetime. Due to heterogeneity nature of breast, density as well as masses is variable in size and shape. A dataset of 18056 patients are collected from 20 Government Hospitals and 50 Private Hospitals in West Bengal before COVID-19 and after COVID-19. The classification of patients are made on three classes- Normal, Sign of Abnormality and Abnormality. The reports of MRIs of patients in January 2020 and February 2020 are collected from different hospitals. It is treated as dataset before COVID-19 . MRIS of patients in April 2020 and May 2020 are dataset during COVID-19. The entire datasets are accumulated for testing of any change in patients MRIS after the official announcement of new virus COVID-19 in March 2020. The aim of the paper is to make a comparison of any change in size and shape of masses of MRIs of patients before and after COVId-19. All collected MRIs reports are diagnosed by radiologists of hospitals.

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