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Han E, Van Horn L, Snetselaar L, Shepherd JA, Jung Park Y, Kim H, Jung S, Dorgan JF. The Associations between Intakes of One-Carbon Metabolism-Related Vitamins and Breast Density among Young Women. Cancer Epidemiol Biomarkers Prev 2024; 33:567-575. [PMID: 38270539 PMCID: PMC11038423 DOI: 10.1158/1055-9965.epi-23-1279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 01/10/2024] [Accepted: 01/23/2024] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND Folate is the primary methyl donor and B vitamins are cofactors for one-carbon metabolism that maintain DNA integrity and epigenetic signatures implicated in carcinogenesis. Breast tissue is particularly susceptible to stimuli in early life. Only limited data are available on associations of one-carbon metabolism-related vitamin intake during youth and young adulthood with breast density, a strong risk factor for breast cancer. METHODS Over 18 years in the DISC and DISC06 Follow-up Study, diets of 182 young women were assessed by three 24-hour recalls on five occasions at ages 8 to 18 years and once at 25 to 29 years. Multivariable-adjusted linear mixed-effects regression was used to examine associations of intakes of one-carbon metabolism-related vitamins with MRI-measured percent dense breast volume (%DBV) and absolute dense breast volume (ADBV) at ages 25 to 29 years. RESULTS Folate intake in youth was inversely associated with %DBV (Ptrend = 0.006) and ADBV (Ptrend = 0.02). These inverse associations were observed with intake during post-, though not premenarche. In contrast, premenarche vitamin B2 intake was positively associated with ADBV (Ptrend < 0.001). Young adult folate and vitamin B6 intakes were inversely associated with %DBV (all Ptrend ≤ 0.04), whereas vitamins B6 and B12 were inversely associated with ADBV (all Ptrend ≤ 0.04). CONCLUSIONS Among these DISC participants intakes of one-carbon metabolism-related vitamins were associated with breast density. Larger prospective studies among diverse populations are needed to replicate these findings. IMPACT Our results suggest the importance of one-carbon metabolism-related vitamin intakes early in life with development of breast density and thereby potentially breast cancer risk later in life.
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Affiliation(s)
- Eunyoung Han
- Department of Nutritional Science and Food management, Ewha Womans University, Seoul, Republic of Korea
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea
| | - Linda Van Horn
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Linda Snetselaar
- Department of Epidemiology, University of Iowa, Iowa City, IA, USA
| | | | - Yoon Jung Park
- Department of Nutritional Science and Food management, Ewha Womans University, Seoul, Republic of Korea
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea
| | - Hyesook Kim
- Department of Food and Nutrition, Wonkwang University, Jeonbuk, Republic of Korea
| | - Seungyoun Jung
- Department of Nutritional Science and Food management, Ewha Womans University, Seoul, Republic of Korea
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea
| | - Joanne F. Dorgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
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Sallam H, Lenga L, Solbach C, Becker S, Vogl TJ. Correlation of background parenchymal enhancement on breast MRI with breast cancer. Clin Radiol 2023:S0009-9260(23)00218-0. [PMID: 37330320 DOI: 10.1016/j.crad.2023.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 03/05/2023] [Accepted: 05/11/2023] [Indexed: 06/19/2023]
Abstract
AIM To evaluate the prognostic value of background parenchymal enhancement (BPE) in breast magnetic resonance imaging (MRI) in women referred to radiological department as a high risk for breast cancer. MATERIALS AND METHODS A retrospective, cross-sectional study included 327 consecutive patients (mean age: 60 years, age range: 30-90 years) who underwent breast MRI and tissue biopsy between 2007 and 2016. All MRI images (T1, T2, and subtraction images) were evaluated visually. The relationship of BPE with patient age, fibroglandular tissue (FGT), Breast Imaging Reporting and Data System (BIRADS) categories, presence of breast cancer, and expression of human epidermal growth factor receptor 2 (HER2), progesterone receptor (PR), oestrogen receptor (ER), and Ki67 were analysed. Furthermore, all variables were correlated with pre- and postmenopausal status. RESULTS BPE of bilateral breast showed a weak correlation with FGT (right BPE: r=-0.14, p=0.004; left BPE: r=0.16, p=0.003), a weak negative correlation with patient age (right BPE: r=-0.14, p=0.007; left BPE: r=-0.15, p=0.006), and significant correlation with HER2 (right BPE, p=0.02), left BPE with HER2 was not significant. Among the correlations between BPE and BIRADS, only between right BPE and right BIRADS was significant (p=0.031). No clear evidence of an association between breast MRI BPE and breast cancer in premenopausal and postmenopausal status was observed, and no difference was found between the right and left breasts. CONCLUSIONS The results of the present study showed no significant correlations between BPE and breast cancer. In addition, there was no significant difference between the right and left breast. Hence, BPE of MRI may not be a reliable biomarker of breast cancer development.
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Affiliation(s)
- H Sallam
- Department of Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
| | - L Lenga
- Department of Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - C Solbach
- Department Gynaecology and Obstetrics, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - S Becker
- Department Gynaecology and Obstetrics, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - T J Vogl
- Department of Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
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Acciavatti RJ, Lee SH, Reig B, Moy L, Conant EF, Kontos D, Moon WK. Beyond Breast Density: Risk Measures for Breast Cancer in Multiple Imaging Modalities. Radiology 2023; 306:e222575. [PMID: 36749212 PMCID: PMC9968778 DOI: 10.1148/radiol.222575] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/23/2022] [Accepted: 12/05/2022] [Indexed: 02/08/2023]
Abstract
Breast density is an independent risk factor for breast cancer. In digital mammography and digital breast tomosynthesis, breast density is assessed visually using the four-category scale developed by the American College of Radiology Breast Imaging Reporting and Data System (5th edition as of November 2022). Epidemiologically based risk models, such as the Tyrer-Cuzick model (version 8), demonstrate superior modeling performance when mammographic density is incorporated. Beyond just density, a separate mammographic measure of breast cancer risk is parenchymal textural complexity. With advancements in radiomics and deep learning, mammographic textural patterns can be assessed quantitatively and incorporated into risk models. Other supplemental screening modalities, such as breast US and MRI, offer independent risk measures complementary to those derived from mammography. Breast US allows the two components of fibroglandular tissue (stromal and glandular) to be visualized separately in a manner that is not possible with mammography. A higher glandular component at screening breast US is associated with higher risk. With MRI, a higher background parenchymal enhancement of the fibroglandular tissue has also emerged as an imaging marker for risk assessment. Imaging markers observed at mammography, US, and MRI are powerful tools in refining breast cancer risk prediction, beyond mammographic density alone.
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Affiliation(s)
| | | | - Beatriu Reig
- From the Department of Radiology, University of Pennsylvania, 3400
Spruce St, Philadelphia, PA 19104 (R.J.A., E.F.C., D.K.); Department of
Radiology, Seoul National University Hospital, Seoul, South Korea (S.H.L.,
W.K.M.); and Department of Radiology, NYU Langone Health, New York, NY (B.R.,
L.M.)
| | - Linda Moy
- From the Department of Radiology, University of Pennsylvania, 3400
Spruce St, Philadelphia, PA 19104 (R.J.A., E.F.C., D.K.); Department of
Radiology, Seoul National University Hospital, Seoul, South Korea (S.H.L.,
W.K.M.); and Department of Radiology, NYU Langone Health, New York, NY (B.R.,
L.M.)
| | - Emily F. Conant
- From the Department of Radiology, University of Pennsylvania, 3400
Spruce St, Philadelphia, PA 19104 (R.J.A., E.F.C., D.K.); Department of
Radiology, Seoul National University Hospital, Seoul, South Korea (S.H.L.,
W.K.M.); and Department of Radiology, NYU Langone Health, New York, NY (B.R.,
L.M.)
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4
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Hermansyah D, Firsty NN. The Role of Breast Imaging in Pre- and Post-Definitive Treatment of Breast Cancer. Breast Cancer 2022. [DOI: 10.36255/exon-publications-breast-cancer-breast-imaging] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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5
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Hu X, Jiang L, You C, Gu Y. Fibroglandular Tissue and Background Parenchymal Enhancement on Breast MR Imaging Correlates With Breast Cancer. Front Oncol 2021; 11:616716. [PMID: 34660251 PMCID: PMC8515131 DOI: 10.3389/fonc.2021.616716] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 09/16/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives To evaluate the association of breast cancer with both the background parenchymal enhancement intensity and volume (BPEI and BPEV, respectively) and the amount of fibroglandular tissue (FGT) using an automatic quantitative assessment method in breast magnetic resonance imaging (MRI). Materials and Methods Among 17,274 women who underwent breast MRI, 132 normal women (control group), 132 women with benign breast lesions (benign group), and 132 women with breast cancer (cancer group) were randomly selected and matched by age and menopausal status. The area under the receiver operating characteristic curve (AUC) was compared in Cancer vs Control and Cancer vs Benign groups to assess the discriminative ability of BPEI, BPEV and FGT. Results Compared with the control groups, the cancer group showed a significant difference in BPEV with a maximum AUC of 0.715 and 0.684 for patients in premenopausal and postmenopausal subgroup, respectively. And the cancer group showed a significant difference in BPEV with a maximum AUC of 0.622 and 0.633 for patients in premenopausal and postmenopausal subgroup, respectively, when compared with the benign group. FGT showed no significant difference when breast cancer group was compared with normal control and benign lesion group, respectively. Compared with the control groups, BPEI showed a slight difference in the cancer group. Compared with the benign group, no significant difference was seen in cancer group. Conclusion Increased BPEV is correlated with a high risk of breast cancer While FGT is not.
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Affiliation(s)
- Xiaoxin Hu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China
| | - Luan Jiang
- Center for Advanced Medical Imaging Technology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
| | - Chao You
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China
| | - Yajia Gu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China
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6
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Pu J, Sechrist J, Meng X, Leader JK, Sciurba FC. A pilot study: Quantify lung volume and emphysema extent directly from two-dimensional scout images. Med Phys 2021; 48:4316-4325. [PMID: 34077564 DOI: 10.1002/mp.15019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 05/26/2021] [Accepted: 05/26/2021] [Indexed: 12/12/2022] Open
Abstract
PURPOSE The potential to compute volume metrics of emphysema from planar scout images was investigated in this study. The successful implementation of this concept will have a wide impact in different fields, and specifically, maximize the diagnostic potential of the planar medical images. METHODS We investigated our premise using a well-characterized chronic obstructive pulmonary disease (COPD) cohort. In this cohort, planar scout images from computed tomography (CT) scans were used to compute lung volume and percentage of emphysema. Lung volume and percentage of emphysema were quantified on the volumetric CT images and used as the "ground truth" for developing the models to compute the variables from the corresponding scout images. We trained two classical convolutional neural networks (CNNs), including VGG19 and InceptionV3, to compute lung volume and the percentage of emphysema from the scout images. The scout images (n = 1,446) were split into three subgroups: (1) training (n = 1,235), (2) internal validation (n = 99), and (3) independent test (n = 112) at the subject level in a ratio of 8:1:1. The mean absolute difference (MAD) and R-square (R2) were the performance metrics to evaluate the prediction performance of the developed models. RESULTS The lung volumes and percentages of emphysema computed from a single planar scout image were significantly linear correlated with the measures quantified using volumetric CT images (VGG19: R2 = 0.934 for lung volume and R2 = 0.751 for emphysema percentage, and InceptionV3: R2 = 0.977 for lung volume and R2 = 0.775 for emphysema percentage). The mean absolute differences (MADs) for lung volume and percentage of emphysema were 0.302 ± 0.247L and 2.89 ± 2.58%, respectively, for VGG19, and 0.366 ± 0.287L and 3.19 ± 2.14, respectively, for InceptionV3. CONCLUSIONS Our promising results demonstrated the feasibility of inferring volume metrics from planar images using CNNs.
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Affiliation(s)
- Jiantao Pu
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jacob Sechrist
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Xin Meng
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joseph K Leader
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Frank C Sciurba
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
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7
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Barkhausen J, Bischof A, Haverstock D, Klemens M, Brueggenwerth G, Weber O, Endrikat J. Diagnostic efficacy of contrast-enhanced breast MRI versus X-ray mammography in women with different degrees of breast density. Acta Radiol 2021; 62:586-593. [PMID: 32678675 DOI: 10.1177/0284185120936271] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Detection of breast cancer in women with high breast densities is a clinical challenge. PURPOSE To study the influence of different degrees of breast density on the sensitivity of contrast-enhanced breast magnetic resonance imaging (CE-BMRI) versus X-ray mammography (XRM). MATERIAL AND METHODS We performed an additional analysis of two large Phase III clinical trials (G1; G2) which included women with histologically proven breast cancers, called "index cancers." Additional cancers were detected during image reading. We compared the sensitivity of CE-BMRI and XRM in women with different breast densities (ACR A→D; Version 5). For each study, six blinded readers evaluated the images. Results are given as the "Median Reader." RESULTS A total of 774 patients were included, 169 had additional cancers. While sensitivity of CE-BMRI for detecting all index cancers was independent of breast density (ACR A→D) (G1: 83%→83%; G2: 91%→91%) the sensitivity of XRM declined (ACR A→D) (G1: 79%→62%; G2: 82%→64%). Thus, the sensitivity difference between both imaging modalities in ACR A breasts of 3% (G1) and 9% (G2) increased to 21% (G1) and 26% (G2) in ACR D breasts. Sensitivity of CE-BMRI for detecting at least one additional cancer increased with increasing breast density (ACR A→D) (G1: 50%→73%, G2: 57%→81%). XRM's sensitivity decreased (G1: 34%→20%) or remained stable (G2: 24%→25%). CONCLUSION CE-BMRI showed significantly higher sensitivity compared to XRM.
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Affiliation(s)
- Jörg Barkhausen
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig Holstein, Luebeck, Germany
| | - Arpad Bischof
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig Holstein, Luebeck, Germany
| | | | - Mark Klemens
- Bayer AG, General Clinical Imaging Services, 13353, Germany
| | | | - Olaf Weber
- Bayer AG, Radiology R&D, Berlin, Germany
- Rheinische Friedrich-Wilhelms-University of Bonn, Bonn, Germany
| | - Jan Endrikat
- Bayer AG, Radiology R&D, Berlin, Germany
- University Medical School of Saarland, Dept of Gynecology, Obstetrics and Reproductive Medicine, Homburg/Saar, Germany
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8
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Hu N, Zhao J, Li Y, Fu Q, Zhao L, Chen H, Qin W, Yang G. Breast cancer and background parenchymal enhancement at breast magnetic resonance imaging: a meta-analysis. BMC Med Imaging 2021; 21:32. [PMID: 33607959 PMCID: PMC7893738 DOI: 10.1186/s12880-021-00566-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 02/09/2021] [Indexed: 11/10/2022] Open
Abstract
Background The background parenchymal enhancement at breast magnetic resonance imaging use to predict breast cancer attracts many searchers to draw a possible relationship. However, the results of their relationships were conflicting. This meta-analysis was performed to assess breast cancer frequency associations with background parenchymal enhancement. Methods A systematic literature search up to January 2020 was performed to detect studies recording associations between breast cancer frequency and background parenchymal enhancement. We found thirteen studies including 13,788 women at the start with 4046 breast cancer. We calculated the odds ratio (OR) and the 95% confidence intervals (CIs) between breast cancer frequency and background parenchymal enhancement by the dichotomous technique with a random or fixed-effect model. Results Women with minimal or mild background parenchymal enhancement at breast magnetic resonance imaging did not have any risk of breast cancer compared to control women (OR, 1.20; 95% CI 0.54–2.67). However, high background parenchymal enhancement at breast magnetic resonance imaging (OR, 2.66; 95% CI 1.36–5.19) and moderate (OR, 2.51; 95% CI 1.49–4.21) was associated with a significantly higher rate of breast cancer frequency compared to control women. Conclusions Our meta-analysis showed that the women with high and moderate background parenchymal enhancement at breast magnetic resonance imaging have higher risks, up to 2.66 fold, of breast cancer. We suggest that women with high or moderate background parenchymal enhancement at breast magnetic resonance imaging to be scheduled for more frequent follow-up and screening for breast cancer to avoid any complications.
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Affiliation(s)
- Na Hu
- Department of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Jinghao Zhao
- Department of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Yong Li
- Department of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Quanshui Fu
- Department of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Linwei Zhao
- Department of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Hong Chen
- Department of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Wei Qin
- Department of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China.
| | - Guoqing Yang
- Department of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China.
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9
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Watt GP, Sung J, Morris EA, Buys SS, Bradbury AR, Brooks JD, Conant EF, Weinstein SP, Kontos D, Woods M, Colonna SV, Liang X, Stein MA, Pike MC, Bernstein JL. Association of breast cancer with MRI background parenchymal enhancement: the IMAGINE case-control study. Breast Cancer Res 2020; 22:138. [PMID: 33287857 PMCID: PMC7722419 DOI: 10.1186/s13058-020-01375-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 11/25/2020] [Indexed: 01/09/2023] Open
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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Affiliation(s)
- Gordon P Watt
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 485 Lexington Ave., Second Floor, New York, NY, 10017, USA.
| | - Janice Sung
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Elizabeth A Morris
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Saundra S Buys
- Huntsman Cancer Institute, University of Utah, Salt Lake City, USA
| | - Angela R Bradbury
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | - Jennifer D Brooks
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Emily F Conant
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | - Susan P Weinstein
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | - Despina Kontos
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | - Meghan Woods
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 485 Lexington Ave., Second Floor, New York, NY, 10017, USA
| | - Sarah V Colonna
- Huntsman Cancer Institute, University of Utah, Salt Lake City, USA
| | - Xiaolin Liang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 485 Lexington Ave., Second Floor, New York, NY, 10017, USA
| | - Matthew A Stein
- Huntsman Cancer Institute, University of Utah, Salt Lake City, USA
| | - Malcolm C Pike
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 485 Lexington Ave., Second Floor, New York, NY, 10017, USA
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 485 Lexington Ave., Second Floor, New York, NY, 10017, USA
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10
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Zhang H, Guo L, Tao W, Zhang J, Zhu Y, Abdelrahim MEA, Bai G. Possible Breast Cancer Risk Related to Background Parenchymal Enhancement at Breast MRI: A Meta-Analysis Study. Nutr Cancer 2020; 73:1371-1377. [PMID: 32700575 DOI: 10.1080/01635581.2020.1795211] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND The higher level of background parenchymal enhancement (BPE) at breast magnetic resonance imaging (MRI) has drawn considerable attention in the early detection and prediction of breast cancer. It has been reported that there is a possible relationship between the level of BPE at breast MRI and the presence of breast cancer. This meta-analysis was performed to evaluate this relationship. METHODS Through a systematic literature search up to December 2019, 12 studies with 9541 females, 3870 of them were breast cancer. They were identified reporting relationships between breast cancer and BPE at breast MRI with its different categories (10 related to minimal or mild BPE, eight related to moderate BPE and nine related to high BPE). Odd ratio(OR) with 95% confidence intervals (CIs) was calculated comparing breast cancer prevalence and BPE at breast MRI using dichotomous method with a random or fixed effect model. RESULTS Females with high (OR, 2.93; 95% CI, 1.24-6.88) and moderate (OR, 2.89; 95% CI, 1.51-5.52) BPE at breast MRI was related with high odds to breast cancer compared to control females. However, females with minimal or mild BPE at breast MRI (OR, 1.33; 95% CI, 0.56-3.17) did not have such risk on breast cancer. The impact of BPE on breast cancer may have a great influence as a tool for improving early detection and prevention of breast cancer. CONCLUSIONS Based on this meta-analysis, females with high or moderate BPE at breast MRI may have an independent relationship with the risk of breast cancer. This relationship forces us to recommend follow up with those with high or moderate BPE at breast MRI to avoid any complication.
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Affiliation(s)
- Hui Zhang
- Medical Imaging Department, The Affiliated Huaian NO.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, P.R. China
| | - Lili Guo
- Medical Imaging Department, The Affiliated Huaian NO.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, P.R. China
| | - Weijing Tao
- Medical Imaging Department, The Affiliated Huaian NO.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, P.R. China
| | - Jiandong Zhang
- Medical Imaging Department, The Affiliated Huaian NO.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, P.R. China
| | - Yan Zhu
- Medical Imaging Department, The Affiliated Huaian NO.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, P.R. China
| | - Mohamed E A Abdelrahim
- Clinical Pharmacy Department, Faculty of Pharmacy, Beni-Suef University, Beni-Suef, Egypt
| | - Genji Bai
- Medical Imaging Department, The Affiliated Huaian NO.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, P.R. China
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11
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Wecsler J, Jeong YJ, Raghavendra AS, Mack WJ, Tripathy D, Yamashita MW, Sheth PA, Hovanessian Larsen L, Russell CA, MacDonald H, Sener SF, Lang JE. Factors associated with MRI detection of occult lesions in newly diagnosed breast cancers. J Surg Oncol 2020; 121:589-598. [PMID: 31984517 DOI: 10.1002/jso.25855] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 01/05/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND The use of preoperative magnetic resonance imaging (MRI) for newly diagnosed breast cancer remains controversial. We examined factors associated with detection of occult multicentric, multifocal, and contralateral malignant lesions only seen by MRI. METHODS We performed a retrospective analysis of consecutive patients undergoing preoperative MRI for breast cancer. Clinicopathologic data were assessed regarding the findings of multifocality, multicentricity, and the presence of contralateral lesions. We analyzed the association of factors with these findings on MRI. RESULTS Of 857 patients undergoing MRI, 770 patients met inclusion criteria. Mean age was 54.7 years. Biopsy-proven detection rates by MRI for multifocal, multicentric, and contralateral cancers were 6.2% (48 of 770), 1.9% (15 of 770) and 3.1% (24 of 770), respectively. African American race and heterogeneously or extremely dense mammographic density were associated with multifocal cancers on MRI. Larger lesion size and mammographic density were associated with multicentric cancers. Invasive lobular carcinoma (ILC) and progesterone receptor (PR)-positivity were associated with contralateral cancers. CONCLUSIONS African American race, heterogeneously or extremely dense mammographic density, ILC, and PR-positivity were associated with additional biopsy-proven cancers based on MRI. These factors should be considered when assessing the clinical utility of preoperative breast MRI.
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Affiliation(s)
- Julie Wecsler
- Division of Breast, Endocrine, and Soft Tissue Surgery, Department of Surgery, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.,Department of Surgery, LAC + USC (LA County) Medical Center, Los Angeles, California
| | - Young Ju Jeong
- Department of Surgery, Catholic University of Daegu School of Medicine, Daegu, Republic of Korea
| | - Akshara S Raghavendra
- Division of Cancer Medicine, Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wendy J Mack
- Department of Preventive Medicine, University of Southern California, Los Angeles, California
| | - Debasish Tripathy
- Division of Cancer Medicine, Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mary W Yamashita
- Division of Oncology Women's Imaging, Department of Radiology and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Pulin A Sheth
- Division of Oncology Women's Imaging, Department of Radiology and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Linda Hovanessian Larsen
- Division of Oncology Women's Imaging, Department of Radiology and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Christy A Russell
- Division of Medical Oncology, Department of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Heather MacDonald
- Division of Breast, Endocrine, and Soft Tissue Surgery, Department of Surgery, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.,Department of Surgery, LAC + USC (LA County) Medical Center, Los Angeles, California
| | - Stephen F Sener
- Division of Breast, Endocrine, and Soft Tissue Surgery, Department of Surgery, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.,Department of Surgery, LAC + USC (LA County) Medical Center, Los Angeles, California
| | - Julie E Lang
- Division of Breast, Endocrine, and Soft Tissue Surgery, Department of Surgery, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.,Department of Surgery, LAC + USC (LA County) Medical Center, Los Angeles, California
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12
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Mema E, Schnabel F, Chun J, Kaplowitz E, Price A, Goodgal J, Moy L. The relationship of breast density in mammography and magnetic resonance imaging in women with triple negative breast cancer. Eur J Radiol 2020; 124:108813. [PMID: 31927471 DOI: 10.1016/j.ejrad.2020.108813] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 11/08/2019] [Accepted: 12/30/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE To evaluate the relationship between mammographic density, background parenchymal enhancement and fibroglandular tissue on MRI in women with triple negative breast cancer (TNBC) compared to women with non-triple negative breast cancer (non-TNBC). METHODS The institutional Breast Cancer Database was queried to identify the clinicopathologic and imaging characteristics among women who underwent mammography and breast MRI between 2010-2018. Statistical analyses included Pearson's Chi Square, Wilcoxon Rank-Sum and logistic regression. RESULTS Of 2995 women, 225 (7.5 %) had TNBC with a median age of 60 years (23-96) and median follow-up of 5.69 years. Compared to women with non-TNBC, TNBC was associated with African-American race 36/225 (16 %), BRCA1,2 positivity 34/225 (15.1 %), previous history of breast cancer 35/225 (15.6 %), presenting on breast exam 126/225 (56 %) or MRI 13/225 (5.8 %), palpability 133/225 (59.1 %), more invasive ductal carcinoma (IDC) 208/225 (92.4 %), higher stage (stage III) 37/225 (16.5 %), higher grade (grade 3) 186/225 (82.7 %) (all p < 0.001), lower mammographic breast density (MBD) 18/225 (8 %) (p = 0.04), lower fibroglandular tissue (FGT) 17/225 (7.6 %) (p = 0.01), and lower background parenchymal enhancement (BPE) 89/225 (39.8 %) (p = 0.02). Nine of 225 (4 %) women with TNBC experienced recurrence with no significant association with MBD, FGT, or BPE. There was no significant difference in median age of our TNBC and non-TNBC cohorts. CONCLUSIONS The higher proportion of women with lower MBD, FGT and BPE in women with TNBC suggests that MBD, amount of FGT and degree of BPE may be associated with breast cancer risk in women with TNBC.
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Affiliation(s)
- Eralda Mema
- Weill Cornell Medical Center, New York Presbyterian Hospital, Department of Radiology, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States.
| | - Freya Schnabel
- New York University Langone Medical Center, Department of Surgery, Division of Breast Surgery, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
| | - Jennifer Chun
- New York University Langone Medical Center, Department of Surgery, Division of Breast Surgery, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
| | - Elianna Kaplowitz
- New York University Langone Medical Center, Department of Surgery, Division of Breast Surgery, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
| | - Alison Price
- New York University Langone Medical Center, Department of Surgery, Division of Breast Surgery, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
| | - Jenny Goodgal
- New York University Langone Medical Center, Department of Surgery, Division of Breast Surgery, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
| | - Linda Moy
- New York University Langone Medical Center, Department of Radiology, United States; New York University, Center for Advanced Imaging Innovation and Research, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
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13
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Thompson CM, Mallawaarachchi I, Dwivedi DK, Ayyappan AP, Shokar NK, Lakshmanaswamy R, Dwivedi AK. The Association of Background Parenchymal Enhancement at Breast MRI with Breast Cancer: A Systematic Review and Meta-Analysis. Radiology 2019; 292:552-561. [PMID: 31237494 DOI: 10.1148/radiol.2019182441] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BackgroundThe higher level of background parenchymal enhancement (BPE) at breast MRI has the potential for early detection and prediction of the risk of breast cancer. However, conflicting findings have been reported about the association between the level of BPE at breast MRI and the presence of breast cancer.PurposeTo evaluate the association between qualitative and quantitative BPE at dynamic contrast material-enhanced MRI and breast cancer among populations with average risk and high risk separately.Materials and MethodsA retrospective meta-analysis of observational studies comparing either qualitative or quantitative assessments of BPE in women with and women without breast cancer was performed for studies published through July 2018. Pooled odds ratios (ORs) or standardized mean differences and 95% confidence intervals (CIs) were estimated by using DerSimonian-Laird random-effects models. The heterogeneity across the studies was measured by using the statistic I 2. Sensitivity analyses were conducted to test this association according to different study characteristics. P values less than or equal to 5% were considered to indicate statistically significant results.ResultsEighteen studies comprising 1910 women with breast cancer and 2541 control participants were included in the analysis. Among women with high risk, at least moderate BPE (OR, 1.6; 95% CI: 1.0, 2.6; P = .04) or at least mild BPE (OR, 2.1; 95% CI: 1.5, 3.0; P < .001) was associated with higher odds of breast cancer. Furthermore, women with breast cancer showed a higher average BPE percentage compared with control participants with high risk (standardized mean difference, 0.5; 95% CI: 0.2, 0.9; P = .001). No association was observed between at least mild BPE level (P = .15) or at least moderate BPE level (P = .38) and the presence of breast cancer among the population with average risk.ConclusionA higher level of background parenchymal enhancement measured at breast MRI is associated with the presence of breast cancer in women with high risk, but not in women with average risk.© RSNA, 2019Online supplemental material is available for this article.See also the editorial by Mann and Pinker in this issue.
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Affiliation(s)
- Christopher M Thompson
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Indika Mallawaarachchi
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Durgesh K Dwivedi
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Anoop P Ayyappan
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Navkiran K Shokar
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Rajkumar Lakshmanaswamy
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Alok K Dwivedi
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
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14
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Jung S, Goloubeva O, Hylton N, Klifa C, LeBlanc E, Shepherd J, Snetselaar L, Van Horn L, Dorgan JF. Intake of dietary carbohydrates in early adulthood and adolescence and breast density among young women. Cancer Causes Control 2018; 29:631-642. [PMID: 29802491 PMCID: PMC7365352 DOI: 10.1007/s10552-018-1040-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 05/16/2018] [Indexed: 12/31/2022]
Abstract
PURPOSE Carbohydrate intake increases postprandial insulin secretion and may affect breast density, a strong risk factor for breast cancer, early in life. We examined associations of adolescent and early adulthood intakes of total carbohydrates, glycemic index/load, fiber, and simple sugars with breast density among 182 young women. METHODS Diet was assessed using three 24-h recalls at each of five Dietary Intervention Study in Children (DISC) clinic visits when participants were age 10-19 years and at the DISC06 Follow-Up Study clinic visit when participants were age 25-29 years. Associations between energy-adjusted carbohydrates and MRI-measured percent dense breast volume (%DBV) and absolute dense breast volume (ADBV) at 25-29 years were quantified using multivariable-adjusted mixed-effects linear models. RESULTS Adolescent sucrose intakes and premenarcheal total carbohydrates intakes were modestly associated with higher %DBV (mean %DBVQ1 vs Q4, 16.6 vs 23.5% for sucrose; and 17.2 vs 22.3% for premenarcheal total carbohydrates, all Ptrend ≤ 0.02), but not with ADBV. However, adolescent intakes of fiber and fructose were not associated with %DBV and ADBV. Early adulthood intakes of total carbohydrates, glycemic index/load, fiber, and simple sugars were not associated with %DBV and ADBV. CONCLUSIONS Insulinemic carbohydrate diet during puberty may be associated with adulthood breast density, but our findings need replication in larger studies. Clinical Trials Registration ClinicalTrials.gov Identifier, NCT00458588 April 9, 2007; NCT00000459 October 27, 1999.
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Affiliation(s)
- Seungyoun Jung
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Howard Hall 102E, Baltimore, MD, 21201, USA
| | - Olga Goloubeva
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Howard Hall 102E, Baltimore, MD, 21201, USA
| | - Nola Hylton
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | | | - Erin LeBlanc
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - John Shepherd
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Linda Snetselaar
- Department of Epidemiology, University of Iowa, Iowa City, IA, USA
| | - Linda Van Horn
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Joanne F Dorgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Howard Hall 102E, Baltimore, MD, 21201, USA.
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15
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You C, Kaiser AK, Baltzer P, Krammer J, Gu Y, Peng W, Schönberg SO, Kaiser CG. The Assessment of Background Parenchymal Enhancement (BPE) in a High-Risk Population: What Causes BPE? Transl Oncol 2018; 11:243-249. [PMID: 29413756 PMCID: PMC5884181 DOI: 10.1016/j.tranon.2017.12.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2017] [Accepted: 12/07/2017] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE To investigate promoting factors for background parenchymal enhancement (BPE) in MR mammography (MRM). METHODS 146 patients were retrospectively evaluated, including 91 high-risk patients (50 BRCA patients, 41 patients with elevated lifetime risk). 56 screening patients were matched to the high-risk cases on the basis of age. The correlation of BPE with factors such as fibroglandular tissue (FGT), age, menopausal status, breast cancer, high-risk precondition as well as motion were investigated using linear regression. RESULTS BPE positively correlated with FGT (P<.001) and negatively correlated with menopausal status (P<.001). Cancer did not show an effect on BPE (P>.05). A high-risk precondition showed a significant impact on the formation of BPE (P<.05). However, when corrected for motion, the correlation between BPE and a high-risk precondition became weak and insignificant, and a highly significant association between BPE and motion was revealed (P<.01). CONCLUSION BPE positively correlated with FGT and negatively correlated with age. Cancer did not have an effect on BPE. A high-risk precondition appears to have a negative effect on BPE. However, when corrected for motion, high-risk preconditions became insignificant. Technical as well as physiological influences seem to play an important role in the formation of BPE.
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Affiliation(s)
- Chao You
- Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
| | | | - Pascal Baltzer
- Department of Neuroradiology, Friedrich-Alexander-University Hospital Erlangen-Nürnberg
| | - Julia Krammer
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim-University of Heidelberg
| | - Yajia Gu
- Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
| | - Weijun Peng
- Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
| | - Stefan O Schönberg
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim-University of Heidelberg
| | - Clemens G Kaiser
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim-University of Heidelberg.
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16
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McLean KE, Stone J. Role of breast density measurement in screening for breast cancer. Climacteric 2018; 21:214-220. [DOI: 10.1080/13697137.2018.1424816] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- K. E. McLean
- Centre for Genetic Origins of Health and Disease, Curtin University and The University of Western Australia, Perth, WA, Australia
| | - J. Stone
- Centre for Genetic Origins of Health and Disease, Curtin University and The University of Western Australia, Perth, WA, Australia
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17
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Pujara AC, Mikheev A, Rusinek H, Rallapalli H, Walczyk J, Gao Y, Chhor C, Pysarenko K, Babb JS, Melsaether AN. Clinical applicability and relevance of fibroglandular tissue segmentation on routine T1 weighted breast MRI. Clin Imaging 2017; 42:119-125. [DOI: 10.1016/j.clinimag.2016.12.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 11/07/2016] [Accepted: 12/02/2016] [Indexed: 10/20/2022]
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18
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Bignotti B, Signori A, Valdora F, Rossi F, Calabrese M, Durando M, Mariscotto G, Tagliafico A. Evaluation of background parenchymal enhancement on breast MRI: a systematic review. Br J Radiol 2016; 90:20160542. [PMID: 27925480 DOI: 10.1259/bjr.20160542] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE To perform a systematic review of the methods used for background parenchymal enhancement (BPE) evaluation on breast MRI. METHODS Studies dealing with BPE assessment on breast MRI were retrieved from major medical libraries independently by four reviewers up to 6 October 2015. The keywords used for database searching are "background parenchymal enhancement", "parenchymal enhancement", "MRI" and "breast". The studies were included if qualitative and/or quantitative methods for BPE assessment were described. RESULTS Of the 420 studies identified, a total of 52 articles were included in the systematic review. 28 studies performed only a qualitative assessment of BPE, 13 studies performed only a quantitative assessment and 11 studies performed both qualitative and quantitative assessments. A wide heterogeneity was found in the MRI sequences and in the quantitative methods used for BPE assessment. CONCLUSION A wide variability exists in the quantitative evaluation of BPE on breast MRI. More studies focused on a reliable and comparable method for quantitative BPE assessment are needed. Advances in knowledge: More studies focused on a quantitative BPE assessment are needed.
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Affiliation(s)
- Bianca Bignotti
- 2 Department of Health Sciences, Institute of Statistics, University of Genoa, Genoa, Italy
| | - Alessio Signori
- 3 Department of Experimental Medicine, Institute of Anatomy, University of Genoa, Genoa, Italy
| | | | - Federica Rossi
- 1 Department of Health Sciences, University of Genova, Genoa, Italy
| | - Massimo Calabrese
- 5 IRCCS AOU San Martino - IST Istituto Nazionale per la Ricerca sul Cancro, Genova, Italy
| | - Manuela Durando
- 6 Department of Diagnostic Imaging and Radiotherapy, AOU Città della Salute e della Scienza of Turin, Breast Imaging Service, Division of Radiology, University of Turin, Turin, Italy
| | - Giovanna Mariscotto
- 6 Department of Diagnostic Imaging and Radiotherapy, AOU Città della Salute e della Scienza of Turin, Breast Imaging Service, Division of Radiology, University of Turin, Turin, Italy
| | - Alberto Tagliafico
- 3 Department of Experimental Medicine, Institute of Anatomy, University of Genoa, Genoa, Italy.,5 IRCCS AOU San Martino - IST Istituto Nazionale per la Ricerca sul Cancro, Genova, Italy
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