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Stibbards-Lyle M, Malinovska J, Badawy S, Schedin P, Rinker KD. Status of breast cancer detection in young women and potential of liquid biopsy. Front Oncol 2024; 14:1398196. [PMID: 38835377 PMCID: PMC11148378 DOI: 10.3389/fonc.2024.1398196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 05/01/2024] [Indexed: 06/06/2024] Open
Abstract
Young onset breast cancer (YOBC) is an increasing demographic with unique biology, limited screening, and poor outcomes. Further, women with postpartum breast cancers (PPBCs), cancers occurring up to 10 years after childbirth, have worse outcomes than other young breast cancer patients matched for tumor stage and subtype. Early-stage detection of YOBC is critical for improving outcomes. However, most young women (under 45) do not meet current age guidelines for routine mammographic screening and are thus an underserved population. Other challenges to early detection in this population include reduced performance of standard of care mammography and reduced awareness. Women often face significant barriers in accessing health care during the postpartum period and disadvantaged communities face compounding barriers due to systemic health care inequities. Blood tests and liquid biopsies targeting early detection may provide an attractive option to help address these challenges. Test development in this area includes understanding of the unique biology involved in YOBC and in particular PPBCs that tend to be more aggressive and deadly. In this review, we will present the status of breast cancer screening and detection in young women, provide a summary of some unique biological features of YOBC, and discuss the potential for blood tests and liquid biopsy platforms to address current shortcomings in timely, equitable detection.
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Affiliation(s)
- Maya Stibbards-Lyle
- Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
- Cellular and Molecular Bioengineering Research Lab, University of Calgary, Calgary, AB, Canada
| | - Julia Malinovska
- Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
- Cellular and Molecular Bioengineering Research Lab, University of Calgary, Calgary, AB, Canada
| | - Seleem Badawy
- Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
- Cellular and Molecular Bioengineering Research Lab, University of Calgary, Calgary, AB, Canada
| | - Pepper Schedin
- Knight Cancer Institute, Oregon Health and Science University, Portland, OR, United States
| | - Kristina D Rinker
- Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
- Cellular and Molecular Bioengineering Research Lab, University of Calgary, Calgary, AB, Canada
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
- Department of Physiology and Pharmacology, University of Calgary, Calgary, AB, Canada
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Sajjad B, Farooqi N, Rehman B, Khalid IB, Urooj N, Sajjad S, Mumtaz A, Tariq T, Iqbal khan A, Parvaiz MA. Correlation of Breast Density Grade on Mammogram With Diagnosed Breast Cancer: A Retrospective Cross-Sectional Study. Cureus 2022; 14:e27028. [PMID: 35989768 PMCID: PMC9386336 DOI: 10.7759/cureus.27028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/10/2022] [Indexed: 11/05/2022] Open
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Cheasley D, Devereux L, Hughes S, Nickson C, Procopio P, Lee G, Li N, Pridmore V, Elder K, Bruce Mann G, Kader T, Rowley SM, Fox SB, Byrne D, Saunders H, Fujihara KM, Lim B, Gorringe KL, Campbell IG. The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density. NPJ Breast Cancer 2020; 6:34. [PMID: 32802943 PMCID: PMC7414106 DOI: 10.1038/s41523-020-00176-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Accepted: 07/13/2020] [Indexed: 01/01/2023] Open
Abstract
Mammographic density (MD) influences breast cancer risk, but how this is mediated is unknown. Molecular differences between breast cancers arising in the context of the lowest and highest quintiles of mammographic density may identify the mechanism through which MD drives breast cancer development. Women diagnosed with invasive or in situ breast cancer where MD measurement was also available (n = 842) were identified from the Lifepool cohort of >54,000 women participating in population-based mammographic screening. This group included 142 carcinomas in the lowest quintile of MD and 119 carcinomas in the highest quintile. Clinico-pathological and family history information were recorded. Tumor DNA was collected where available (n = 56) and sequenced for breast cancer predisposition and driver gene mutations, including copy number alterations. Compared to carcinomas from low-MD breasts, those from high-MD breasts were significantly associated with a younger age at diagnosis and features associated with poor prognosis. Low- and high-MD carcinomas matched for grade, histological subtype, and hormone receptor status were compared for somatic genetic features. Low-MD carcinomas had a significantly increased frequency of TP53 mutations, higher homologous recombination deficiency, higher fraction of the genome altered, and more copy number gains on chromosome 1q and losses on 17p. While high-MD carcinomas showed enrichment of tumor-infiltrating lymphocytes in the stroma. The data demonstrate that when tumors were matched for confounding clinico-pathological features, a proportion in the lowest quintile of MD appear biologically distinct, reflective of microenvironment differences between the lowest and highest quintiles of MD.
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Affiliation(s)
- Dane Cheasley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
| | - Lisa Devereux
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
- Lifepool, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Siobhan Hughes
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Carolyn Nickson
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia
- Cancer Research Division, Cancer Council NSW, Sydney, NSW Australia
- Sydney School of Public Health, University of Sydney, Sydney, NSW Australia
| | - Pietro Procopio
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia
- Cancer Research Division, Cancer Council NSW, Sydney, NSW Australia
- Sydney School of Public Health, University of Sydney, Sydney, NSW Australia
| | - Grant Lee
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia
| | - Na Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | | | - Kenneth Elder
- Department of Surgery, University of Melbourne, Melbourne, VIC Australia
- The Royal Melbourne and Royal Women’s Hospitals, Parkville, VIC Australia
- The Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK
| | - G. Bruce Mann
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
- Department of Surgery, University of Melbourne, Melbourne, VIC Australia
- The Royal Melbourne and Royal Women’s Hospitals, Parkville, VIC Australia
| | - Tanjina Kader
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
| | - Simone M. Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Stephen B. Fox
- Department of Pathology, Peter MacCallum Cancer Centre, and University of Melbourne, Melbourne, VIC Australia
| | - David Byrne
- Department of Pathology, Peter MacCallum Cancer Centre, and University of Melbourne, Melbourne, VIC Australia
| | - Hugo Saunders
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Kenji M. Fujihara
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Belle Lim
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia
| | - Kylie L. Gorringe
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
- Cancer Genetics and Genomics Program, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Ian G. Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
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A review of the influence of mammographic density on breast cancer clinical and pathological phenotype. Breast Cancer Res Treat 2019; 177:251-276. [PMID: 31177342 DOI: 10.1007/s10549-019-05300-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 05/27/2019] [Indexed: 10/26/2022]
Abstract
PURPOSE It is well established that high mammographic density (MD), when adjusted for age and body mass index, is one of the strongest known risk factors for breast cancer (BC), and also associates with higher incidence of interval cancers in screening due to the masking of early mammographic abnormalities. Increasing research is being undertaken to determine the underlying histological and biochemical determinants of MD and their consequences for BC pathogenesis, anticipating that improved mechanistic insights may lead to novel preventative or treatment interventions. At the same time, technological advances in digital and contrast mammography are such that the validity of well-established relationships needs to be re-examined in this context. METHODS With attention to old versus new technologies, we conducted a literature review to summarise the relationships between clinicopathologic features of BC and the density of the surrounding breast tissue on mammography, including the associations with BC biological features inclusive of subtype, and implications for the clinical disease course encompassing relapse, progression, treatment response and survival. RESULTS AND CONCLUSIONS There is reasonable evidence to support positive relationships between high MD (HMD) and tumour size, lymph node positivity and local relapse in the absence of radiotherapy, but not between HMD and LVI, regional relapse or distant metastasis. Conflicting data exist for associations of HMD with tumour location, grade, intrinsic subtype, receptor status, second primary incidence and survival, which need further confirmatory studies. We did not identify any relationships that did not hold up when data involving newer imaging techniques were employed in analysis.
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Hollingsworth AB. Redefining the sensitivity of screening mammography: A review. Am J Surg 2019; 218:411-418. [PMID: 30739738 DOI: 10.1016/j.amjsurg.2019.01.039] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 01/25/2019] [Accepted: 01/31/2019] [Indexed: 12/21/2022]
Abstract
From its inception, screening mammography has enjoyed a perceived level of sensitivity that is inconsistent with available evidence. The original data that imparted erroneous beliefs about sensitivity were based on a variety of misleading definitions and approaches, such as the inclusion of palpable tumors, using the inverse of interval cancer rates (often tied to an arbitrary 12 month interval), and quoting prevalence screen sensitivity wherein tumors are larger than those found on incidence screens. This review addresses the background for the overestimation of mammographic sensitivity, and how a major adjustment in our thinking is overdue now that multi-modality imaging allows us to determine real time mammographic sensitivity. Although a single value for mammographic sensitivity is disingenuous, given the wide range based on background density, it is important to realize that a sensitivity gap between belief and reality still exists in the early detection of breast cancer using mammography alone, in spite of technologic advances. Failure to recognize this gap diminishes the acceptance of adjunct methods of breast imaging that greatly complement detection rates.
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Affiliation(s)
- Alan B Hollingsworth
- Department of Surgery, Mercy Hospital, 4401 W. McAuley Blvd., Suite #1100, Mercy Hospital Coletta Building, Oklahoma City, OK, USA.
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da Costa Vieira RA, Biller G, Uemura G, Ruiz CA, Curado MP. Breast cancer screening in developing countries. Clinics (Sao Paulo) 2017; 72:244-253. [PMID: 28492725 PMCID: PMC5401614 DOI: 10.6061/clinics/2017(04)09] [Citation(s) in RCA: 123] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2016] [Accepted: 12/20/2016] [Indexed: 12/14/2022] Open
Abstract
Developing countries have limited healthcare resources and use different strategies to diagnose breast cancer. Most of the population depends on the public healthcare system, which affects the diagnosis of the tumor. Thus, the indicators observed in developed countries cannot be directly compared with those observed in developing countries because the healthcare infrastructures in developing countries are deficient. The aim of this study was to evaluate breast cancer screening strategies and indicators in developing countries. A systematic review and the Population, Intervention, Comparison, Outcomes, Timing, and Setting methodology were performed to identify possible indicators of presentation at diagnosis and the methodologies used in developing countries. We searched PubMed for the terms "Breast Cancer" or "Breast Cancer Screening" and "Developing Country" or "Developing Countries". In all, 1,149 articles were identified. Of these articles, 45 full articles were selected, which allowed us to identify indicators related to epidemiology, diagnostic intervention (diagnostic strategy, diagnostic infrastructure, percentage of women undergoing mammography), quality of intervention (presentation of symptoms at diagnosis, time to diagnosis, early stage disease), comparisons (trend curves, subpopulations at risk) and survival among different countries. The identification of these indicators will improve the reporting of methodologies used in developing countries and will allow us to evaluate improvements in public health related to breast cancer.
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Affiliation(s)
- René Aloísio da Costa Vieira
- Programa de Pós-Graduação em Oncologia, Hospital de Câncer de Barretos, Barretos, SP, BR
- Programa de Pós-graduação em Obstetricia, Ginecologia e Mastologia, Faculdade de Medicina de Botucatu – UNESP, Botucatu, SP, BR
- *Corresponding author. E-mail:
| | - Gabriele Biller
- Programa de Pós-Graduação em Oncologia, Hospital de Câncer de Barretos, Barretos, SP, BR
| | - Gilberto Uemura
- Programa de Pós-graduação em Obstetricia, Ginecologia e Mastologia, Faculdade de Medicina de Botucatu – UNESP, Botucatu, SP, BR
| | - Carlos Alberto Ruiz
- Departamento de Obstetricia e Ginecologia, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR
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Gilbert FJ, Tucker L, Young KC. Digital breast tomosynthesis (DBT): a review of the evidence for use as a screening tool. Clin Radiol 2016; 71:141-50. [PMID: 26707815 DOI: 10.1016/j.crad.2015.11.008] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 10/29/2015] [Accepted: 11/03/2015] [Indexed: 11/20/2022]
Abstract
Breast screening with full-field digital mammography (FFDM) fails to detect 15-30% of cancers. This figure is higher for women with dense breasts. A new tomographic technique in mammography has been developed--digital breast tomosynthesis (DBT)--which allows images to be viewed in sections through the breast and has the potential to improve cancer detection rates. Results from retrospective reading studies comparing DBT with FFDM have been largely favourable with improvement in sensitivity and specificity. Increases in diagnostic accuracy have been reported as being independent of breast density; however there are mixed reports regarding the detection of microcalcification. Prospective screening studies using DBT with FFDM have demonstrated increased rates in cancer detection compared with FFDM alone. A reduction in false-positive recall rates has also been shown. Screening with the addition of DBT would approximately double radiation dose; however a simulated FFDM image can be generated from a DBT scan. The combination of simulated FFDM images and DBT is being evaluated within several studies and some positive results have been published. Interval cancer rates for the UK National Health Service Breast Screening Programme (NHSBSP) demonstrate the limited sensitivity of FFDM in cancer detection. DBT has the potential to increase sensitivity and decrease false-positive recall rates. It has approval for screening and diagnostics in several countries; however, there are issues with DBT as a screening tool including additional reading time, IT storage and connectivity, over-diagnosis, and cost effectiveness. Feasibility and cost-effectiveness trials are needed before the implementation of DBT in NHSBSP can be considered.
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Affiliation(s)
- Fiona J Gilbert
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; Cambridge University Hospitals NHS Trust, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK.
| | - Lorraine Tucker
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; Cambridge University Hospitals NHS Trust, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Ken C Young
- National Coordinating Centre for the Physics of Mammography, Royal Surrey County Hospital, Guildford GU2 7XX, UK; Department of Physics, University of Surrey, Guildford GU2 7JP, UK
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Moshina N, Ursin G, Hoff SR, Akslen LA, Roman M, Sebuødegård S, Hofvind S. Mammographic density and histopathologic characteristics of screen-detected tumors in the Norwegian Breast Cancer Screening Program. Acta Radiol Open 2015; 4:2058460115604340. [PMID: 26442439 PMCID: PMC4580120 DOI: 10.1177/2058460115604340] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 08/13/2015] [Indexed: 11/16/2022] Open
Abstract
Background High mammographic density might mask breast tumors, resulting in delayed diagnosis or missed cancers. Purpose To investigate the association between mammographic density and histopathologic tumor characteristics (histologic type, size, grade, and lymph node status) among women screened in the Norwegian Breast Cancer Screening Program. Material and Methods Information about 1760 screen-detected ductal carcinoma in situ (DCIS) and 7366 invasive breast cancers diagnosed among women aged 50–69 years, 1996–2010, was analyzed. The screening mammograms were classified subjectively according to the amount of fibroglandular tissue into fatty, medium dense, and dense by breast radiologists. Chi-square test was used to compare the distribution of tumor characteristics by mammographic density. Odds ratio (OR) of tumor characteristics by density was estimated by means of logistic regression, adjusting for screening mode (screen-film and full-field digital mammography), and age. Results Mean and median tumor size of invasive breast cancers was 13.8 and 12 mm, respectively, for women with fatty breasts, and 16.2 and 14 mm for those with dense breasts. Lymph node positive tumors were identified among 20.6% of women with fatty breasts compared with 27.2% of those with dense breasts (P < 0.001). The proportion of DCIS was significantly lower for women with fatty (15.8%) compared with dense breasts (22.0%). Women with dense breasts had an increased risk of large (OR, 1.44; 95% CI, 1.18–1.73) and lymph node positive tumors (OR, 1.26; 95% CI, 1.05–1.51) compared with women with fatty and medium dense breasts. Conclusion High mammographic density was positively associated with tumor size and lymph node positive tumors.
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Affiliation(s)
| | - Giske Ursin
- Cancer Registry of Norway, Oslo, Norway ; Institute of Basic Medical Sciences, Medical Faculty, University of Oslo, Oslo, Norway ; Department of Preventive Medicine, University of Southern California, California, USA
| | - Solveig Roth Hoff
- Department of Radiology, Aalesund Hospital, Helse Møre og Romsdal HF, Aalesund, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway ; Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Marta Roman
- Cancer Registry of Norway, Oslo, Norway ; Department of Women and Children's Health, Oslo University Hospital, Oslo, Norway
| | | | - Solveig Hofvind
- Cancer Registry of Norway, Oslo, Norway ; Oslo and Akershus University College of Applied Sciences, Faculty of Health Science, Oslo, Norway
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Breast virtual special issue. Clin Radiol 2015; 70:681-3. [PMID: 26048071 DOI: 10.1016/j.crad.2015.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2015] [Revised: 05/08/2015] [Accepted: 05/13/2015] [Indexed: 11/22/2022]
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Gilbert FJ, Tucker L, Gillan MG, Willsher P, Cooke J, Duncan KA, Michell MJ, Dobson HM, Lim YY, Purushothaman H, Strudley C, Astley SM, Morrish O, Young KC, Duffy SW. The TOMMY trial: a comparison of TOMosynthesis with digital MammographY in the UK NHS Breast Screening Programme--a multicentre retrospective reading study comparing the diagnostic performance of digital breast tomosynthesis and digital mammography with digital mammography alone. Health Technol Assess 2015; 19:i-xxv, 1-136. [PMID: 25599513 PMCID: PMC4781321 DOI: 10.3310/hta19040] [Citation(s) in RCA: 114] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Digital breast tomosynthesis (DBT) is a three-dimensional mammography technique with the potential to improve accuracy by improving differentiation between malignant and non-malignant lesions. OBJECTIVES The objectives of the study were to compare the diagnostic accuracy of DBT in conjunction with two-dimensional (2D) mammography or synthetic 2D mammography, against standard 2D mammography and to determine if DBT improves the accuracy of detection of different types of lesions. STUDY POPULATION Women (aged 47-73 years) recalled for further assessment after routine breast screening and women (aged 40-49 years) with moderate/high of risk of developing breast cancer attending annual mammography screening were recruited after giving written informed consent. INTERVENTION All participants underwent a two-view 2D mammography of both breasts and two-view DBT imaging. Image-processing software generated a synthetic 2D mammogram from the DBT data sets. RETROSPECTIVE READING STUDY In an independent blinded retrospective study, readers reviewed (1) 2D or (2) 2D + DBT or (3) synthetic 2D + DBT images for each case without access to original screening mammograms or prior examinations. Sensitivities and specificities were calculated for each reading arm and by subgroup analyses. RESULTS Data were available for 7060 subjects comprising 6020 (1158 cancers) assessment cases and 1040 (two cancers) family history screening cases. Overall sensitivity was 87% [95% confidence interval (CI) 85% to 89%] for 2D only, 89% (95% CI 87% to 91%) for 2D + DBT and 88% (95% CI 86% to 90%) for synthetic 2D + DBT. The difference in sensitivity between 2D and 2D + DBT was of borderline significance (p = 0.07) and for synthetic 2D + DBT there was no significant difference (p = 0.6). Specificity was 58% (95% CI 56% to 60%) for 2D, 69% (95% CI 67% to 71%) for 2D + DBT and 71% (95% CI 69% to 73%) for synthetic 2D + DBT. Specificity was significantly higher in both DBT reading arms for all subgroups of age, density and dominant radiological feature (p < 0.001 all cases). In all reading arms, specificity tended to be lower for microcalcifications and higher for distortion/asymmetry. Comparing 2D + DBT to 2D alone, sensitivity was significantly higher: 93% versus 86% (p < 0.001) for invasive tumours of size 11-20 mm. Similarly, for breast density 50% or more, sensitivities were 93% versus 86% (p = 0.03); for grade 2 invasive tumours, sensitivities were 91% versus 87% (p = 0.01); where the dominant radiological feature was a mass, sensitivities were 92% and 89% (p = 0.04) For synthetic 2D + DBT, there was significantly (p = 0.006) higher sensitivity than 2D alone in invasive cancers of size 11-20 mm, with a sensitivity of 91%. CONCLUSIONS The specificity of DBT and 2D was better than 2D alone but there was only marginal improvement in sensitivity. The performance of synthetic 2D appeared to be comparable to standard 2D. If these results were observed with screening cases, DBT and 2D mammography could benefit to the screening programme by reducing the number of women recalled unnecessarily, especially if a synthetic 2D mammogram were used to minimise radiation exposure. Further research is required into the feasibility of implementing DBT in a screening setting, prognostic modelling on outcomes and mortality, and comparison of 2D and synthetic 2D for different lesion types. STUDY REGISTRATION Current Controlled Trials ISRCTN73467396. FUNDING This project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 19, No. 4. See the HTA programme website for further project information.
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Affiliation(s)
- Fiona J Gilbert
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Lorraine Tucker
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Maureen Gc Gillan
- Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK
| | - Paula Willsher
- Department of Radiology, University of Cambridge, Cambridge, UK
| | | | - Karen A Duncan
- North East Scotland Breast Screening Centre, Aberdeen, UK
| | | | | | - Yit Yoong Lim
- The Nightingale Centre, University Hospital South Manchester, Manchester, UK
| | | | - Celia Strudley
- National Co-ordinating Centre for Physics of Mammography, Royal Surrey County Hospital, Guildford, UK
| | - Susan M Astley
- Department of Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK
| | - Oliver Morrish
- East Anglian Regional Radiation Protection Service, Cambridge University Hospitals, Cambridge, UK
| | - Kenneth C Young
- National Co-ordinating Centre for Physics of Mammography, Royal Surrey County Hospital, Guildford, UK
| | - Stephen W Duffy
- Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
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Mammographic density and cancer detection: does digital imaging challenge our current understanding? Acad Radiol 2014; 21:1377-85. [PMID: 25097013 DOI: 10.1016/j.acra.2014.06.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2013] [Revised: 06/10/2014] [Accepted: 06/11/2014] [Indexed: 11/19/2022]
Abstract
RATIONALE AND OBJECTIVES To investigate the impact of breast density on the performance of radiologists when mammograms are digitally acquired and displayed. MATERIALS AND METHODS A total of 150 craniocaudal digital mammograms including 75 cases with cancer were examined by 14 radiologists divided into two groups: those who read more (six) and less (eight) than 2000 mammograms per year. Cases were classified as low or high mammographic density. For both types of cases, detection of cancers within and outside the dense fibroglandular tissue was investigated. The performance of radiologist was measured using jack-knife free-response receiver operating characteristic (JAFROC) figure of merit (FOM). RESULTS Radiologists with over 2000 annual reads had significantly higher JAFROC FOM (P = .03) for high (0.76) mammographic density compared to low (0.70) mammographic density cases. When lesions overlaid the fibroglandular tissue, cases with high mammographic density compared to low mammographic density displayed increased location sensitivity for all radiologists (P = .03) and for those radiologists reading more than 2000 mammograms annually (P = .04), whereas JAFROC FOMs increased for all radiologists (P = .05). No significant changes were observed when the lesion was outside the fibroglandular region. CONCLUSIONS Increased mammographic density improves the performance of experienced radiologists when using digital mammograms. This finding, which does not align with those previously reported for film screen systems, may be because of windowing/leveling opportunities available with digital images.
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AL Mousa DS, Brennan PC, Ryan EA, Lee WB, Tan J, Mello-Thoms C. How mammographic breast density affects radiologists' visual search patterns. Acad Radiol 2014; 21:1386-93. [PMID: 25172414 DOI: 10.1016/j.acra.2014.06.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2014] [Revised: 06/25/2014] [Accepted: 06/26/2014] [Indexed: 11/25/2022]
Abstract
RATIONALE AND OBJECTIVES To determine the impact of mammographic breast density on the visual search process of radiologists when reading digital mammograms. MATERIALS AND METHODS Institutional review board approval was obtained. A set of 149 craniocaudal digital mammograms were read by seven radiologists, and observer search patterns were recorded. Total time examining each case, time to first hit the lesion, dwell time, and number of hits per area were calculated. The nonparametric Mann-Whitney U test was used for statistical evaluation. RESULTS In both low- and high-mammographic density cases, significant increases were observed in the time to first hit lesions when they were located outside, compared to overlying fibroglandular dense tissue (P = .001). Significantly longer dwell time (P = .003) and greater number of fixations (P = .0003) were observed when the lesions were situated within--rather than outside--the dense fibroglandular tissue. CONCLUSIONS Increased mammographic breast density changes radiologists' visual search patterns. Dense areas of the parenchyma attracted greater visual attention in both high- and low-mammographic density cases, resulting in faster detection of lesions overlying the fibroglandular dense tissue, along with longer dwell times and greater number of fixations, as compared to lesions located outside the dense fibroglandular regions.
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Nickson C, Arzhaeva Y, Aitken Z, Elgindy T, Buckley M, Li M, English DR, Kavanagh AM. AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes. Breast Cancer Res 2014; 15:R80. [PMID: 24020331 PMCID: PMC3978575 DOI: 10.1186/bcr3474] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2012] [Accepted: 07/16/2013] [Indexed: 12/21/2022] Open
Abstract
Introduction While Cumulus – a semi-automated method for measuring breast density – is utilised extensively in research, it is labour-intensive and unsuitable for screening programmes that require an efficient and valid measure on which to base screening recommendations. We develop an automated method to measure breast density (AutoDensity) and compare it to Cumulus in terms of association with breast cancer risk and breast cancer screening outcomes. Methods AutoDensity automatically identifies the breast area in the mammogram and classifies breast density in a similar way to Cumulus, through a fast, stand-alone Windows or Linux program. Our sample comprised 985 women with screen-detected cancers, 367 women with interval cancers and 4,975 controls (women who did not have cancer), sampled from first and subsequent screening rounds of a film mammography screening programme. To test the validity of AutoDensity, we compared the effect estimates using AutoDensity with those using Cumulus from logistic regression models that tested the association between breast density and breast cancer risk, risk of small and large screen-detected cancers and interval cancers, and screening programme sensitivity (the proportion of cancers that are screen-detected). As a secondary analysis, we report on correlation between AutoDensity and Cumulus measures. Results AutoDensity performed similarly to Cumulus in all associations tested. For example, using AutoDensity, the odds ratios for women in the highest decile of breast density compared to women in the lowest quintile for invasive breast cancer, interval cancers, large and small screen-detected cancers were 3.2 (95% CI 2.5 to 4.1), 4.7 (95% CI 3.0 to 7.4), 6.4 (95% CI 3.7 to 11.1) and 2.2 (95% CI 1.6 to 3.0) respectively. For Cumulus the corresponding odds ratios were: 2.4 (95% CI 1.9 to 3.1), 4.1 (95% CI 2.6 to 6.3), 6.6 (95% CI 3.7 to 11.7) and 1.3 (95% CI 0.9 to 1.8). Correlation between Cumulus and AutoDensity measures was 0.63 (P < 0.001). Conclusions Based on the similarity of the effect estimates for AutoDensity and Cumulus in models of breast density and breast cancer risk and screening outcomes, we conclude that AutoDensity is a valid automated method for measuring breast density from digitised film mammograms.
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Boyd NF, Huszti E, Melnichouk O, Martin LJ, Hislop G, Chiarelli A, Yaffe MJ, Minkin S. Mammographic features associated with interval breast cancers in screening programs. Breast Cancer Res 2014; 16:417. [PMID: 25346388 PMCID: PMC4187338 DOI: 10.1186/s13058-014-0417-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Accepted: 07/22/2014] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Percent mammographic density (PMD) is associated with an increased risk of interval breast cancer in screening programs, as are younger age, pre-menopausal status, lower body mass index and hormone therapy. These factors are also associated with variations in PMD. We have examined whether these variables influence the relative frequency of interval and screen-detected breast cancer, independently or through their associations with PMD. We also examined the association of tumor size with PMD and dense and non-dense areas in screen-detected and interval breast cancers. METHODS We used data from three case-control studies nested in screened populations. Interval breast cancer was defined as invasive breast cancer detected within 12 months of a negative mammogram. We used a computer-assisted method of measuring the dense and total areas of breast tissue in the first (baseline) mammogram taken at entry to screening programs and calculated the non-dense area and PMD. We compared these mammographic features, and other risk factors at baseline, in women with screen-detected (n = 718) and interval breast cancer (n = 125). RESULTS In multi-variable analysis, the baseline characteristics of younger age, greater dense area and smaller non-dense mammographic area were significantly associated with interval breast cancer compared to screen-detected breast cancer. Compared to screen-detected breast cancers, interval cancers had a larger maximum tumor diameter within each mammographic measure. CONCLUSIONS Age and the dense and non-dense areas in the baseline mammogram were independently associated with interval breast cancers in screening programs. These results suggest that decreased detection of cancers caused by the area of dense tissue, and more rapid growth associated with a smaller non-dense area, may both contribute to risk of interval breast cancer. Tailoring screening to individual mammographic characteristics at baseline may reduce the number of interval cancers.
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Affiliation(s)
- Norman F Boyd
- The Campbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, Room 10-415, 610 University Avenue, Toronto, M5G 2M9 ON Canada
| | - Ella Huszti
- The Campbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, Room 10-415, 610 University Avenue, Toronto, M5G 2M9 ON Canada
| | - Olga Melnichouk
- The Campbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, Room 10-415, 610 University Avenue, Toronto, M5G 2M9 ON Canada
| | - Lisa J Martin
- The Campbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, Room 10-415, 610 University Avenue, Toronto, M5G 2M9 ON Canada
| | - Greg Hislop
- School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, V6T 1Z9 BC Canada
| | - Anna Chiarelli
- Prevention and Cancer Control, Cancer Care, 620 University Avenue, Toronto, M5G 2L7 ON Canada
| | - Martin J Yaffe
- Imaging Research, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, M4N 3M5 ON Canada
| | - Salomon Minkin
- Ontario Cancer Institute, 610 University Avenue, Toronto, M5G 2M9 ON Canada
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Huo CW, Chew GL, Britt KL, Ingman WV, Henderson MA, Hopper JL, Thompson EW. Mammographic density-a review on the current understanding of its association with breast cancer. Breast Cancer Res Treat 2014; 144:479-502. [PMID: 24615497 DOI: 10.1007/s10549-014-2901-2] [Citation(s) in RCA: 144] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Accepted: 02/24/2014] [Indexed: 01/07/2023]
Abstract
There has been considerable recent interest in the genetic, biological and epidemiological basis of mammographic density (MD), and the search for causative links between MD and breast cancer (BC) risk. This report will critically review the current literature on MD and summarize the current evidence for its association with BC. Keywords 'mammographic dens*', 'dense mammary tissue' or 'percent dens*' were used to search the existing literature in English on PubMed and Medline. All reports were critically analyzed. The data were assigned to one of the following aspects of MD: general association with BC, its relationship with the breast hormonal milieu, the cellular basis of MD, the generic variations of MD, and its significance in the clinical setting. MD adjusted for age, and BMI is associated with increased risk of BC diagnosis, advanced tumour stage at diagnosis and increased risk of both local recurrence and second primary cancers. The MD measures that predict BC risk have high heritability, and to date several genetic markers associated with BC risk have been found to also be associated with these MD risk predictors. Change in MD could be a predictor of the extent of chemoprevention with tamoxifen. Although the biological and genetic pathways that determine and perhaps modulate MD remain largely unresolved, significant inroads are being made into the understanding of MD, which may lead to benefits in clinical screening, assessment and treatment strategies. This review provides a timely update on the current understanding of MD's association with BC risk.
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Affiliation(s)
- C W Huo
- Department of Surgery, University of Melbourne, St. Vincent's Hospital, Melbourne, Australia,
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A L Mousa DS, Ryan EA, Mello-Thoms C, Brennan PC. What effect does mammographic breast density have on lesion detection in digital mammography? Clin Radiol 2014; 69:333-41. [PMID: 24424328 DOI: 10.1016/j.crad.2013.11.014] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Revised: 11/03/2013] [Accepted: 11/14/2013] [Indexed: 10/25/2022]
Abstract
Effective detection of breast cancer using mammography is an important public health issue worldwide. Breasts that contain higher levels of fibroglandular compared with fatty tissue increase breast radio-opacity making it more difficult to differentiate between normal and abnormal findings. The higher prevalence of breast cancer amongst women with denser breasts demands the origination of effective solutions to manage this common radiographic appearance. This brief review considers the impact of higher levels of density on cancer detection and the importance of digital technology in possibly reducing the negative effects of increased density.
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Affiliation(s)
- D S A L Mousa
- Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia.
| | - E A Ryan
- Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia
| | - C Mello-Thoms
- Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia
| | - P C Brennan
- Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia
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Boyd NF, Martin LJ, Yaffe MJ, Minkin S. Mammographic density and breast cancer risk: current understanding and future prospects. Breast Cancer Res 2011; 13:223. [PMID: 22114898 PMCID: PMC3326547 DOI: 10.1186/bcr2942] [Citation(s) in RCA: 420] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Variations in percent mammographic density (PMD) reflect variations in the amounts of collagen and number of epithelial and non-epithelial cells in the breast. Extensive PMD is associated with a markedly increased risk of invasive breast cancer. The PMD phenotype is important in the context of breast cancer prevention because extensive PMD is common in the population, is strongly associated with risk of the disease, and, unlike most breast cancer risk factors, can be changed. Work now in progress makes it likely that measurement of PMD will be improved in the near future and that understanding of the genetics and biological basis of the association of PMD with breast cancer risk will also improve. Future prospects for the application of PMD include mammographic screening, risk prediction in individuals, breast cancer prevention research, and clinical decision making.
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Affiliation(s)
- Norman F Boyd
- Campbell Family Institute for Breast Cancer Research, Room 10-415, 610 University Avenue, Toronto, ON M5G 2M9, Canada.
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Pathological and mammographic prognostic factors for screen detected cancers in a multi-centre randomised, controlled trial of mammographic screening in women from age 40 to 48 years. Breast 2011; 20:525-8. [PMID: 21696957 DOI: 10.1016/j.breast.2011.05.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2011] [Revised: 05/27/2011] [Accepted: 05/31/2011] [Indexed: 01/29/2023] Open
Abstract
AIM To assess pathological and radiological prognostic factors for cancers detected by screening within a multi-centre RCT trial of mammographic screening of younger women. METHOD The survival of 232 women with screen detected invasive cancer was ascertained. Data on invasive cancer size, histological grade, nodal status, vascular invasion, mammographic spiculation, comedo calcification and mammographic background were assessed. Kaplan-Meier and Cox proportional hazards methods were used to examine survival. RESULTS Univariate analysis indicated that women with cancers with the following features had poorer survival; ≥ 30 mm, histologically grade 3, heavily node positive (4 or more positive nodes), vascular invasion positive and displaying mammographic comedo calcification. In a multivariate model survival remained poorer in women with four or more nodes positive (HR 8.36, 95% CI 2.31, 30.17) and in those with comedo calcification (HR 3.00,95% CI 1.13, 7.99). CONCLUSION Nodal status and the presence of mammographic comedo calcification have independent prognostic significance in young women with screen detected cancer.
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Complementary approaches to assessing risk factors for interval breast cancer. Cancer Causes Control 2010; 22:23-31. [PMID: 20978835 DOI: 10.1007/s10552-010-9663-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2007] [Accepted: 10/07/2010] [Indexed: 01/09/2023]
Abstract
OBJECTIVE To examine risk factors for interval breast cancer among women screened in a population-based mammography program. METHODS Risk for interval cancer was assessed in terms of both the incidence per 10,000 negative screens and the proportion of all breast cancers diagnosed among screened women. Interval (N = 557) and screen-detected cancers (N = 1,545) were identified among 208,667 women receiving mammography in Colorado (1994-2001). Logistic regression was used to assess independent effects of multiple factors. RESULTS Overall risk of interval cancer was 29.5/10,000 women screened. Incidence was higher in women >50 years (OR: 2.28, 1.86-2.80), with family history (OR: 2.23, 1.85-2.70), with dense breasts (OR: 3.84, 2.76-5.35), and using hormones (OR: 1.54, 1.20-1.97). Hispanics had lower incidence than Whites (OR: 0.52, 0.34-0.81). Interval cancers represented 26% of all cancers diagnosed. This proportion was higher in women <50 (OR: 1.41, 1.09-1.82) and in women with dense breasts (OR: 2.95, 1.94-4.48). CONCLUSIONS Incidence of interval cancer increases with age, breast density, hormone use, and family history. Attempts to reduce occurrence of these cancers through more sensitive and/or intensive screening should focus on these subgroups. The disproportionate number of interval cancers associated with young age and dense breasts suggests these cancers result from both rapid growth and difficulties in detection.
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