scholarly journals Quantitative breast density analysis to predict interval and node-positive cancers in pursuit of improved screening protocols: a case–control study

2021 ◽  
Author(s):  
Elizabeth S. Burnside ◽  
Lucy M. Warren ◽  
Jonathan Myles ◽  
Louise S. Wilkinson ◽  
Matthew G. Wallis ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Case Control Study ◽  
Case Control ◽  
Imaging Biomarker ◽  
Interval Cancers ◽  
Node Negative ◽  
Node Positive ◽  
Mode Of Detection ◽  
Control Study

Abstract Background This study investigates whether quantitative breast density (BD) serves as an imaging biomarker for more intensive breast cancer screening by predicting interval, and node-positive cancers. Methods This case–control study of 1204 women aged 47–73 includes 599 cancer cases (302 screen-detected, 297 interval; 239 node-positive, 360 node-negative) and 605 controls. Automated BD software calculated fibroglandular volume (FGV), volumetric breast density (VBD) and density grade (DG). A radiologist assessed BD using a visual analogue scale (VAS) from 0 to 100. Logistic regression and area under the receiver operating characteristic curves (AUC) determined whether BD could predict mode of detection (screen-detected or interval); node-negative cancers; node-positive cancers, and all cancers vs. controls. Results FGV, VBD, VAS, and DG all discriminated interval cancers (all p < 0.01) from controls. Only FGV-quartile discriminated screen-detected cancers (p < 0.01). Based on AUC, FGV discriminated all cancer types better than VBD or VAS. FGV showed a significantly greater discrimination of interval cancers, AUC = 0.65, than of screen-detected cancers, AUC = 0.61 (p < 0.01) as did VBD (0.63 and 0.53, respectively, p < 0.001). Conclusion FGV, VBD, VAS and DG discriminate interval cancers from controls, reflecting some masking risk. Only FGV discriminates screen-detected cancers perhaps adding a unique component of breast cancer risk.

scholarly journals Cyclin E1 is a strong prognostic marker for death from lymph node negative breast cancer. A population-based case-control study

2015 ◽  
Vol 54 (4) ◽  
pp. 543-549 ◽  
Author(s):  
Claudia Lundgren ◽  
Cecilia Ahlin ◽  
Lars Holmberg ◽  
Rose-Marie Amini ◽  
Marie-Louise Fjällskog ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Prognostic Marker ◽  
Case Control Study ◽  
Population Based ◽  
Case Control ◽  
Node Negative ◽  
Cyclin E1 ◽  
Node Negative Breast Cancer ◽  
Control Study

scholarly journals Mammographic density and risk of breast cancer by mode of detection and tumor size: a case-control study

2016 ◽  
Vol 18 (1) ◽  
Author(s):  
Kavitha Krishnan ◽  
Laura Baglietto ◽  
Carmel Apicella ◽  
Jennifer Stone ◽  
Melissa C. Southey ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mammographic Density ◽  
Tumor Size ◽  
Case Control Study ◽  
Case Control ◽  
Mode Of Detection ◽  
Control Study

scholarly journals Influence of breast density on breast cancer risk: a case control study in Japanese women

Breast Cancer ◽  
2019 ◽  
Vol 27 (2) ◽  
pp. 277-283 ◽  
Author(s):  
Keiko Nishiyama ◽  
Naruto Taira ◽  
Taeko Mizoo ◽  
Mariko Kochi ◽  
Hirokuni Ikeda ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Breast Density ◽  
Case Control Study ◽  
Case Control ◽  
Japanese Women ◽  
Control Study

scholarly journals Breast density in polycystic ovarian syndrome patients: A case-control study

2019 ◽  
Author(s):  
Bita Eslami ◽  
Sadaf Alipour ◽  
Reihaneh Hosseini ◽  
Bentolhoda Fattah ◽  
Ashraf Moini
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Breast Imaging ◽  
Polycystic Ovarian Syndrome ◽  
Case Control Study ◽  
Case Control ◽  
Reproductive Age ◽  
Control Group ◽  
Ovarian Syndrome ◽  
Control Study

Background: Epidemiological studies suggested a positive relationship between breast density and risk of breast cancer. One of the common hormonal disorders in women’s reproductive age is polycystic ovarian syndrome (PCOS) and the results from the studies about the risk of breast cancer among PCOS patients are equivocal. Objective: The objective was to evaluate the breast density in PCOS patients compared with the control group. Materials and Methods: In this case-control study, the PCOS patients who were older than 40 years and were referred to infertility or gynecology outpatient clinic of Arash women’s hospital between 2015 and 2017 were selected as the case group. Control group was selected from healthy women who attended the same hospital and were older than 40 years. By digital mammography, breast density was classified according to the Breast Imaging Reporting and Data System (BIRADS) of the American College of Radiology and it was graded by one expert radiologist. Results: Final analysis in 68 cases and controls showed statistically significant differences between breast densities in PCOS patients compared to the control (p = 0.03), and when the analysis was conducted by considering the category of age, the control group who were younger than 45 years had higher breast density compared with PCOS patient. Multivariate logistic regression analyses manifested a statistically significant adverse association between body mass index (OR = 0.87, 95% CI: 0.79–0.95), vitamin D intake (OR = 0.35, 95% CI: 0.16–0.81), and breast density. Conclusion: Our data suggested that the PCOS patients had lower breast density compared with normal population. However, in multivariate analysis, considering other confounders, this association was not confirmed.

scholarly journals Association of breast cancer with MRI background parenchymal enhancement: the IMAGINE case-control study

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Gordon P. Watt ◽  
Janice Sung ◽  
Elizabeth A. Morris ◽  
Saundra S. Buys ◽  
Angela R. Bradbury ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Postmenopausal Women ◽  
Breast Density ◽  
Case Control Study ◽  
Premenopausal Women ◽  
Case Control ◽  
Background Parenchymal Enhancement ◽  
History Of ◽  
Parenchymal Enhancement ◽  
Control Study

Abstract Background Background parenchymal enhancement (BPE) on breast magnetic resonance imaging (MRI) may be associated with breast cancer risk, but previous studies of the association are equivocal and limited by incomplete blinding of BPE assessment. In this study, we evaluated the association between BPE and breast cancer based on fully blinded assessments of BPE in the unaffected breast. Methods The Imaging and Epidemiology (IMAGINE) study is a multicenter breast cancer case-control study of women receiving diagnostic, screening, or follow-up breast MRI, recruited from three comprehensive cancer centers in the USA. Cases had a first diagnosis of unilateral breast cancer and controls had no history of or current breast cancer. A single board-certified breast radiologist with 12 years’ experience, blinded to case-control status and clinical information, assessed the unaffected breast for BPE without view of the affected breast of cases (or the corresponding breast laterality of controls). The association between BPE and breast cancer was estimated by multivariable logistic regression separately for premenopausal and postmenopausal women. Results The analytic dataset included 835 cases and 963 controls. Adjusting for fibroglandular tissue (breast density), age, race/ethnicity, BMI, parity, family history of breast cancer, BRCA1/BRCA2 mutations, and other confounders, moderate/marked BPE (vs minimal/mild BPE) was associated with breast cancer among premenopausal women [odds ratio (OR) 1.49, 95% CI 1.05–2.11; p = 0.02]. Among postmenopausal women, mild/moderate/marked vs minimal BPE had a similar, but statistically non-significant, association with breast cancer (OR 1.45, 95% CI 0.92–2.27; p = 0.1). Conclusions BPE is associated with breast cancer in premenopausal women, and possibly postmenopausal women, after adjustment for breast density and confounders. Our results suggest that BPE should be evaluated alongside breast density for inclusion in models predicting breast cancer risk.

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