The relationship of magnetic resonance (MR) imaging characteristics with race.

2015 ◽  
Vol 33 (28_suppl) ◽  
pp. 10-10
Author(s):  
Jennifer Chun ◽  
Freya Ruth Schnabel ◽  
Shira Schwartz ◽  
Chelsea Marin ◽  
Amber Azniv Guth ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mr Imaging ◽  
Ductal Carcinoma ◽  
Early Stage ◽  
Tumor Biology ◽  
Mammographic Breast Density ◽  
Background Parenchymal Enhancement ◽  
Imaging Characteristics ◽  
Relationship Of ◽  
The Relationship

10 Background: Research has shown that women of different race have differences in tumor biology. Previous studies have shown that mammographic breast density (BD) and background parenchymal enhancement (BPE) are associated with breast cancer risk. There is data on the relationship of race and BD, but a dearth of information on the relationship of race and MR imaging characteristics such as fibroglandular tissue (FGT) and BPE. The purpose of this study was to evaluate the relationship of race with BD, BPE, and FGT in women with breast cancer. Methods: The institutional Breast Cancer Database was queried for all women with newly diagnosed breast cancer from 2010-2015. Variables included age, race, body mass index (BMI), imaging and tumor characteristics. Statistical analyses included Pearson’s Chi Square Tests. Results: A total of 2,092 women were included in this analysis. The median age was 59 years (range 22-95). Majority of patients had invasive ductal carcinoma (62%), early stage (0, I) tumors (71%), ER-positive (84%), PR-positive (71%), and HER2-negative (86%). However, there was a higher proportion of later stage (p < 0.0001) and triple negative (p = 0.002) disease among blacks. Compared to whites, blacks had higher BMI, lower BD and lower BPE, while Asians had lower BMI <, higher BD, higher FGT and higher BPE (see table). Conclusions: As previously described, we found differences among races with respect to tumor histology. However, the differences in imaging characteristics between races are likely accounted for by differences in BMI and may not be directly related to breast carcinogenesis. [Table: see text]

Unraveling the South African Breast Cancer Story: The Relationship of Patients, Delay to Diagnosis, and Tumor Biology With Stage at Presentation in an Urban Setting

2019 ◽  
Vol 235 ◽  
pp. 181-189
Author(s):  
Sarah Rayne ◽  
Kathryn Schnippel ◽  
Surbhi Grover ◽  
Kirstin Fearnhead ◽  
Deirdre Kruger ◽  
...  
Keyword(s):  
Breast Cancer ◽  
South African ◽  
Tumor Biology ◽  
Urban Setting ◽  
The South ◽  
Relationship Of ◽  
The Relationship

scholarly journals Population-based study of the relationship of treatment and sociodemographics on quality of life for early stage breast cancer

2005 ◽  
Vol 14 (6) ◽  
pp. 1467-1479 ◽  
Author(s):  
Nancy K. Janz ◽  
Mahasin Mujahid ◽  
Paula M. Lantz ◽  
Angela Fagerlin ◽  
Barbara Salem ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Early Stage ◽  
Population Based ◽  
Early Stage Breast Cancer ◽  
Population Based Study ◽  
Relationship Of ◽  
The Relationship

scholarly journals Correlation of Background Parenchymal Enhancement on Breast Magnetic Resonance Imaging with Quantitative Mammographic Parameters Derived using fully Automated Volumetric Software

2021 ◽  
Author(s):  
Gayeong Lim ◽  
Kyoungkyg Bae ◽  
Soyeoun Lim ◽  
Gyoungmin Park ◽  
Minseo Bang
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Mammographic Density ◽  
Breast Mri ◽  
Mammographic Breast Density ◽  
Resonance Imaging ◽  
Volumetric Density ◽  
Background Parenchymal Enhancement ◽  
The Relationship ◽  
Parenchymal Enhancement

Abstract Background: Background parenchymal enhancement (BPE) and mammographic breast density are risk factors for breast cancer. However, existing evidence regarding the association between these risk factors is inconclusive. This study aimed to evaluate the relationship between BPE and quantitative and subdivided mammographic density parameters, such as fibroglandular tissue (FGT) volume, entire breast volume, and volumetric density (%), measured using a fully automated volumetric software.Methods: From July 2017 to August 2018, patients with newly diagnosed breast cancer who had undergone preoperative mammography and magnetic resonance imaging (MRI) at our hospital were identified. Mammographic density analysis was performed using a fully automated volumetric software. Two breast radiologists consensually rated BPE and the amount of FGT in each contralateral normal breast MRI based on four categories of the Breast Imaging-Reporting and Data System. The Pearson correlation coefficient was used to analyze the relationship between mammographic density and the FGT and BPE observed on breast MRI.Results: A total of 364 women were included, of whom 153 (42%) were premenopausal (mean age, 44.22±6.29 years) and 211 (58%) were postmenopausal (mean age, 57.91±9.59 years).The premenopause group had significantly higher levels of BPE and FGT on MRI and FGT volume and volumetric density (%) on mammography. FGT and BPE observed on breast MRI were correlated in the overall sample and postmenopause group(r=0.352and 0.265, respectively). The FGT volume on mammography was significantly correlated with BPE in the overall sample and in the pre- and postmenopause groups (r=0.290, 0.166, and 0.294, respectively). Volumetric density (%) on mammography and BPE were correlated in the total sample and postmenopause group(r=0.369 and 0.281, respectively). Conclusion: Mammographic breast density and BPE on MRI are significantly correlated in patients with breast cancer. The mammographic FGT volume is particularly correlated with BPE on MRI, regardless of the patient’s menopausal state.

The relationship of breast density, BMI, and menopausal status in mammography and MRI.

2012 ◽  
Vol 30 (27_suppl) ◽  
pp. 36-36 ◽  
Author(s):  
Jennifer Chun ◽  
Ana Paula Refinetti ◽  
Ana Klautau Leite ◽  
Freya Ruth Schnabel ◽  
Tsivia Hochman ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Breast Density ◽  
Menopausal Status ◽  
Mammographic Breast Density ◽  
Strong Positive Correlation ◽  
Background Parenchymal Enhancement ◽  
Increased Risk ◽  
The Relationship

36 Background: Mammographic breast density (BD) is associated with a 4- to 6-fold increased risk for developing breast cancer. A previous study has shown that background parenchymal enhancement (BPE) as measured on MRI can be correlated with breast cancer risk. Being overweight or obese is also an established risk factor for breast cancer. The purpose of this study was to evaluate the relationship between BD, BPE, FGT (assessment of fibroglandular tissue with contiguous MR images), and BMI in pre- and post-menopausal women. Methods: The Breast Cancer Database at NYU Langone Medical Center was queried and a total of 187 women had completed both screening mammograms and MRIs. Variables of interest included BD, BPE, FGT, BMI, and menopausal status. BD was defined by ACR classifications 1-4. FGT was assessed on a similar scale 1-4. BPE was categorized as minimal, mild, moderate, or marked. BMI (kg/m2) was grouped as underweight (≤18), normal (19-24), overweight (25-29), and obese (≥30). Statistical analyses were performed using Spearman Correlation Coefficients and Cochran Mantel Haenszel tests. Results: The median age in our cohort was 51 years (range 22-87 years). The majority were Caucasian (71%) with early stage breast cancers (75%). There was no correlation between BD and BPE (r=0.132) and a weak correlation between BPE and FGT (r=0.312). However, there was a strong positive correlation between BD and FGT (r=0.733). After adjusting for menopausal status, these correlations remained the same. When we stratified by BMI, we found the strongest positive association between BD and FGT among women with BMI≥25 (r=0.715). Conclusions: In our cohort of newly diagnosed breast cancer patients, BD and BPE were not correlated, even after adjusting for menopausal status. This implies that BD and BPE may represent different characteristics of breast tissue and may have different implications. We found a strong correlation between FGT and BD. This association was strongest in women who were overweight and obese. FGT is a more objective and quantitative measurement of breast density and may be more useful in quantitative breast cancer risk assessment.Further studies are necessary to determine if BPE and FGT are independent risk factors for breast cancer.

scholarly journals Relationship of mammographic densities to breast cancer risk

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Engy A. Ali ◽  
Mariam Raafat
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Statistical Significance ◽  
Significant Risk ◽  
Close Relation ◽  
Mammographic Screening ◽  
Mammographic Breast Density ◽  
Study Results ◽  
Relationship Of ◽  
Mammographic Densities

Abstract Background Our goal was to find out the relation between mammographic densities and cancer of the breast according to the recent ACR classification. From the medical records of Kasereliny Hospital, 49,409 women were subjected to digital mammography for screening, of which 1500 breast cancer cases were collected. The mammographic categories of breast density were ACR-A, B, C, and D, which were detected by two senior radiologists. All radiological classifications were made using both standard mammographic views bilaterally. Two-sided tests of statistical significance were represented by all the P values. Results From 2014 to 2019, 49,409 women came for digital mammographic screening, their age ranges between 40 and 65, and all of them are included in the study. One thousand cases of breast cancer cases were radiologically and pathologically diagnosed. Different densities were arranged in descending pattern depending on the frequency of positive cases: D (13.7%), C (3.3%), B (2.7%), A (2.2%). There is positive significant risk ratio among every higher mammographic density in comparison to the lower density. Conclusion Our study results show that the risk of breast cancer is in close relation to the mammographic breast density.

The relationship of self-acceptance with decision making duration in cancer patient to perform mastectomy

2021 ◽  
pp. 1-5
Author(s):  
Ayu Ratuati Setiawan ◽  
Feny Tunjungsari ◽  
Mochamad Aleq Sander
Keyword(s):  
Breast Cancer ◽  
Decision Making ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Cross Sectional ◽  
Abnormal Growth ◽  
Self Acceptance ◽  
Observation Method ◽  
Relationship Of ◽  
The Relationship

BACKGROUND: Cancer is a disease caused by abnormal growth of body cells that turn malignant and continue to grow uncontrollably. One of the treatments for breast cancer is mastectomy. The quickness of decision-making determines the survival rate of prognosis patients. OBJECTIVE: This study aimed to determine the relationship of self-acceptance with decision-making duration in cancer patients to perform a mastectomy. METHODS: An analytic observation method with cross-sectional design. The samples were taken by purposive sampling method with 50 samples of breast cancer patients. Data collected include age, last level of education, marital status, profession, stage of cancer during mastectomy, self-acceptance score, and decision-making duration to perform a mastectomy. RESULTS: The data analyzed with the Kruskal–Wallis test. The test showed the relationship of self-acceptance (p = 0.027) with decision-making duration in breast cancer patients to perform a mastectomy. CONCLUSION: In Conclusion, there is a relationship of self-acceptance with decision-making duration in breast cancer patients to perform a mastectomy.

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