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Breast cancer screening

M Malvezzi, G Carioli, P Bertuccio, P Boffetta, F Levi, C La Vecchia, E Negri
Background: We projected cancer mortality statistics for 2018 for the European Union (EU) and its six more populous countries, using the most recent available data. We focused on colorectal cancer. Materials and methods: We obtained cancer death certification data from stomach, colorectum, pancreas, lung, breast, uterus, ovary, prostate, bladder, leukaemia, and total cancers from the World Health Organisation database and projected population data from Eurostat...
March 19, 2018: Annals of Oncology: Official Journal of the European Society for Medical Oncology
Geetika Dua, Ravibabu Mulaveesala
Active infrared thermography is a fast, painless, noncontact, and noninvasive imaging method, complementary to mammography, ultrasound, and magnetic resonance imaging methods for early diagnosis of breast cancer. This technique plays an important role in early detection of breast cancer to women of all ages, including pregnant or nursing women, with different sizes of breast, irrespective of either fatty or dense breast. This proposed complementary technique makes use of infrared emission emanating from the breast...
March 2018: Journal of Biomedical Optics
Etta D Pisano
No abstract text is available yet for this article.
April 2018: Radiology
Francesca Caumo, Giovanna Romanucci, Kylie Hunter, Manuel Zorzi, Silvia Brunelli, Petra Macaskill, Nehmat Houssami
BACKGROUND: The Verona population-based breast cancer (BC) screening program provides biennial mammography to women aged 50-69 years. Based on emerging evidence of enhanced detection, the program transitioned to digital breast tomosynthesis (DBT) screening. METHODS: This is a prospective pilot evaluation of DBT with synthesised 2D mammography screening implemented during April 2015-March 2017; the rate and characteristics of cancers detected at DBT screening were compared with those detected at the preceding digital mammography (DM) screening round (April 2013-March 2015) in the same screening program...
March 20, 2018: Breast Cancer Research and Treatment
Siti Noor Hajar Zamrus, Muhammad Nadeem Akhtar, Swee Keong Yeap, Ching Kheng Quah, Wan-Sin Loh, Noorjahan Banu Alitheen, Seema Zareen, Saiful Nizam Tajuddin, Yazmin Hussin, Syed Adnan Ali Shah
BACKGROUND: Curcumin is one of the leading compound extracted from the dry powder of Curcuma longa (Zingiberaceae family), which possess several pharmacological properties. However, in vivo administration exhibited limited applications in cancer therapies. RESULTS: Twenty-four curcumin derivatives have synthesized, which comprises cyclohexanone 1-10, acetone 11-17 and cyclopentanone 18-24 series. All the curcuminoids were synthesized by the acid or base catalyzed Claisen Schmidt condenstion reactions, in which β-diketone moiety of curcumin was modified with mono-ketone...
March 19, 2018: Chemistry Central Journal
Sergio J Sanabria, Orcun Goksel, Katharina Martini, Serafino Forte, Thomas Frauenfelder, Rahel A Kubik-Huch, Marga B Rominger
OBJECTIVES: To assess feasibility and diagnostic accuracy of a novel hand-held ultrasound (US) method for breast density assessment that measures the speed of sound (SoS), in comparison to the ACR mammographic (MG) categories. METHODS: ACR-MG density (a=fatty to d=extremely dense) and SoS-US were assessed in the retromamillary, inner and outer segments of 106 women by two radiographers. A conventional US system was used for SoS-US. A reflector served as timing reference for US signals transmitted through the breasts...
March 19, 2018: European Radiology
Maegan V Mazereeuw, Diana R Withrow, E Diane Nishri, Michael Tjepkema, Eduardo Vides, Loraine D Marrett
BACKGROUND: Métis people are 1 of 3 Aboriginal groups recognized by the Canadian constitution. We estimated site-specific incidence rates and survival for the most common cancers among Métis adults in Canada and compared these with rates among non-Aboriginal adults in Canada. METHODS: We examined responses to the 1991 long-form census, including self-reported Métis ancestry linked to national mortality and cancer databases for followup from 1992 to 2009. We estimated age-standardized incidence rates and 5-year relative survival...
March 19, 2018: CMAJ: Canadian Medical Association Journal, Journal de L'Association Medicale Canadienne
Rossella Rella, Paolo Belli, Michela Giuliani, Enida Bufi, Giorgio Carlino, Pierluigi Rinaldi, Riccardo Manfredi
Automated breast ultrasonography (ABUS) is a new imaging technology for automatic breast scanning through ultrasound. It was first developed to overcome the limitation of operator dependency and lack of standardization and reproducibility of handheld ultrasound. ABUS provides a three-dimensional representation of breast tissue and allows images reformatting in three planes, and the generated coronal plane has been suggested to improve diagnostic accuracy. This technique has been first used in the screening setting to improve breast cancer detection, especially in mammographically dense breasts...
March 16, 2018: Academic Radiology
Diego F Munoz, Cong Xu, Sylvia K Plevritis
We present a Monte Carlo simulation model that reproduces US invasive breast cancer incidence and mortality trends from 1975 to 2010 as a function of screening and adjuvant treatment. This model was developed for multiple purposes, including to quantify the impact of screening and adjuvant therapy on past and current trends, predict future trends, and evaluate potential outcomes under hypothetical screening and treatment interventions. The model first generates the life histories of individual breast cancer patients by determining the patient's age, tumor size, estrogen receptor (ER) status, human epidermal growth factor 2 (HER2) status, SEER (Surveillance, Epidemiology, and End Results) historic stage, detection mode at time of detection, preclinical tumor course, and death age and cause of death (breast cancer v...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Jeroen J van den Broek, Nicolien T van Ravesteyn, Jeanne S Mandelblatt, Mucahit Cevik, Clyde B Schechter, Sandra J Lee, Hui Huang, Yisheng Li, Diego F Munoz, Sylvia K Plevritis, Harry J de Koning, Natasha K Stout, Marjolein van Ballegooijen
BACKGROUND: Collaborative modeling has been used to estimate the impact of potential cancer screening strategies worldwide. A necessary step in the interpretation of collaborative cancer screening model results is to understand how model structure and model assumptions influence cancer incidence and mortality predictions. In this study, we examined the relative contributions of the pre-clinical duration of breast cancer, the sensitivity of screening, and the improvement in prognosis associated with treatment of screen-detected cases to the breast cancer incidence and mortality predictions of 5 Cancer Intervention and Surveillance Modeling Network (CISNET) models...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Oguzhan Alagoz, Mehmet Ali Ergun, Mucahit Cevik, Brian L Sprague, Dennis G Fryback, Ronald E Gangnon, John M Hampton, Natasha K Stout, Amy Trentham-Dietz
The University of Wisconsin Breast Cancer Epidemiology Simulation Model (UWBCS), also referred to as Model W, is a discrete-event microsimulation model that uses a systems engineering approach to replicate breast cancer epidemiology in the US over time. This population-based model simulates the lifetimes of individual women through 4 main model components: breast cancer natural history, detection, treatment, and mortality. A key feature of the UWBCS is that, in addition to specifying a population distribution in tumor growth rates, the model allows for heterogeneity in tumor behavior, with some tumors having limited malignant potential (i...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Jeroen J van den Broek, Nicolien T van Ravesteyn, Eveline A Heijnsdijk, Harry J de Koning
The MISCAN-Fadia microsimulation model uses continuous tumor growth to simulate the natural history of breast cancer and has been used extensively to estimate the impact of screening and adjuvant treatment on breast cancer incidence and mortality trends. The model simulates individual life histories from birth to death, with and without breast cancer, in the presence and in the absence of screening and treatment. Life histories are simulated according to discrete events such as birth, tumor inception, the tumor's clinical diagnosis diameter in the absence of screening, and death from breast cancer or death from other causes...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Jeroen J van den Broek, Nicolien T van Ravesteyn, Jeanne S Mandelblatt, Hui Huang, Mehmet Ali Ergun, Elizabeth S Burnside, Cong Xu, Yisheng Li, Oguzhan Alagoz, Sandra J Lee, Natasha K Stout, Juhee Song, Amy Trentham-Dietz, Sylvia K Plevritis, Sue M Moss, Harry J de Koning
BACKGROUND: The UK Age trial compared annual mammography screening of women ages 40 to 49 years with no screening and found a statistically significant breast cancer mortality reduction at the 10-year follow-up but not at the 17-year follow-up. The objective of this study was to compare the observed Age trial results with the Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer model predicted results. METHODS: Five established CISNET breast cancer models used data on population demographics, screening attendance, and mammography performance from the Age trial together with extant natural history parameters to project breast cancer incidence and mortality in the control and intervention arm of the trial...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Ronald E Gangnon, Natasha K Stout, Oguzhan Alagoz, John M Hampton, Brian L Sprague, Amy Trentham-Dietz
OBJECTIVE: Breast cancer simulation models must take changing mortality rates into account to evaluate the potential impact of cancer control interventions. We estimated mortality rates due to breast cancer and all other causes combined to determine their impact on overall mortality by year, age, and birth cohort. METHODS: Based on mortality rates from publicly available datasets, an age-period-cohort model was used to estimate the proportion of deaths due to breast cancer for US women aged 0 to 119 years, with birth years 1900 to 2000...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Jeanne S Mandelblatt, Aimee M Near, Diana L Miglioretti, Diego Munoz, Brian L Sprague, Amy Trentham-Dietz, Ronald Gangnon, Allison W Kurian, Harald Weedon-Fekjaer, Kathleen A Cronin, Sylvia K Plevritis
BACKGROUND: Since their inception in 2000, the Cancer Intervention and Surveillance Network (CISNET) breast cancer models have collaborated to use a nationally representative core of common input parameters to represent key components of breast cancer control in each model. Employment of common inputs permits greater ability to compare model output than when each model begins with different input parameters. The use of common inputs also enhances inferences about the results, and provides a range of reasonable results based on variations in model structure, assumptions, and methods of use of the input values...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Sandra J Lee, Xiaoxue Li, Hui Huang, Marvin Zelen
BACKGROUND: We present updated features to a model developed by Dana-Farber investigators within the Cancer Intervention and Surveillance Modeling Network (CISNET). The initial model was developed to evaluate the impact of mammography screening strategies. METHODS: This major update includes the incorporation of ductal carcinoma in situ (DCIS) as part of the natural history of breast cancer. The updated model allows DCIS in the pre-clinical state to regress to undetectable early-stage DCIS, or to transition to invasive breast cancer, or to clinical DCIS...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Diego F Munoz, Sylvia K Plevritis
BACKGROUND: As molecular subtyping of breast cancer influences clinical management, the evaluation of screening and adjuvant treatment interventions at the population level needs to account for molecular subtyping. Performing such analyses are challenging because molecular subtype-specific, long-term outcomes are not readily accessible; these markers were not historically recorded in tumor registries. We present a modeling approach to estimate historical survival outcomes by estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) status...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Nicolien T van Ravesteyn, Jeroen J van den Broek, Xiaoxue Li, Harald Weedon-Fekjær, Clyde B Schechter, Oguzhan Alagoz, Xuelin Huang, Donald L Weaver, Elizabeth S Burnside, Rinaa S Punglia, Harry J de Koning, Sandra J Lee
BACKGROUND: Ductal carcinoma in situ (DCIS) can be a precursor to invasive breast cancer. Since the advent of screening mammography in the 1980's, the incidence of DCIS has increased dramatically. The value of screen detection and treatment of DCIS, however, is a matter of controversy, as it is unclear the extent to which detection and treatment of DCIS prevents invasive disease and reduces breast cancer mortality. The aim of this paper is to provide an overview of existing Cancer Intervention and Surveillance Modelling Network (CISNET) modeling approaches for the natural history of DCIS, and to compare these to other modeling approaches reported in the literature...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Clyde B Schechter, Aimee M Near, Jinani Jayasekera, Young Chandler, Jeanne S Mandelblatt
BACKGROUND: The Georgetown University-Albert Einstein College of Medicine breast cancer simulation model (Model GE) has evolved over time in structure and function to reflect advances in knowledge about breast cancer, improvements in early detection and treatment technology, and progress in computing resources. This article describes the model and provides examples of model applications. METHODS: The model is a discrete events microsimulation of single-life histories of women from multiple birth cohorts...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Matthew J Resnick, Amy J Graves, Sunita Thapa, Robert Gambrel, Mark D Tyson, Daniel Lee, Melinda B Buntin, David F Penson
Importance: Despite rapid diffusion of Accountable Care Organizations (ACOs), whether ACO enrollment results in observable changes in cancer screening remains unknown. Objective: To determine whether Medicare Shared Savings Program (MSSP) ACO enrollment changes the appropriateness of screening for breast, colorectal, and prostate cancers. Design, Setting, and Participants: For this population-based analysis of Medicare beneficiaries, we used Medicare data from 2007 through 2014 and evaluated changes in screening associated with ACO enrollment using differences-in-differences (DD) analyses...
March 19, 2018: JAMA Internal Medicine
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