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Relevant bibliographies by topics / Screening Mammography

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Academic literature on the topic 'Screening Mammography'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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Journal articles on the topic "Screening Mammography"

1

Belaya, Yu A. "Effectiveness of mammography screening for women aged 40–49." Tumors of female reproductive system 18, no. 2 (September 16, 2022): 60–66. http://dx.doi.org/10.17650/1994-4098-2022-18-2-60-66.

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The aim of the work was to review randomized controlled trials regarding the efficacy of screening mammography in women aged 40–49 years.Google Scholar and PubMed databases were searched for English-language publications for randomized controlled trials. Inclusion criteria were studies evaluating the possible benefit/harm of mammographic screening in women 40–49 years old, a follow-up period of at least 10 years, primary breast cancer, regarding as primary outcomes reduction of breast cancer mortality, and side effects screening mammography.A search for the specified keywords found 2453 sources in electronic databases, of which only 83 studies were published as articles. After analyzing these studies, only 5 studies met the inclusion criteria. An analysis of these studies according to the inclusion criteria is subsequently presented in the article.Based on the available data from randomized trials, no definitive conclusion about the effectiveness of mammographic screening in women 40–49 years of age can yet be drawn. Therefore, it is too early to draw a line in the debate about the appropriateness of mammography in the 40–49 age group.

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Larin, A. G., and A. R. Dabagov. "Digital Mammography Device for Mobile Mammography Complex." Radiology - Practice, no. 3 (July 6, 2021): 62–69. http://dx.doi.org/10.52560/2713-0118-2021-3-62-69.

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The results of the development of a mammographic unit with a digital flat-panel detector designed for for installation in a mobile medical X-ray room are presented.The mammographic unit with a digital flat-panel detector is designed for screening and other specialized mammographic examinations, provides the ability to perform full-format raster (using a screening raster) mammography, X-ray of the armpits.

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Howard, Daniel, Simon C. Roberts, Conor Ryan, and Adrian Brezulianu. "Textural Classification of Mammographic Parenchymal Patterns with the SONNET Selforganizing Neural Network." Journal of Biomedicine and Biotechnology 2008 (2008): 1–11. http://dx.doi.org/10.1155/2008/526343.

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In nationwide mammography screening, thousands of mammography examinations must be processed. Each consists of two standard views of each breast, and each mammogram must be visually examined by an experienced radiologist to assess it for any anomalies. The ability to detect an anomaly in mammographic texture is important to successful outcomes in mammography screening and, in this study, a large number of mammograms were digitized with a highly accurate scanner; and textural features were derived from the mammograms as input data to a SONNET selforganizing neural network. The paper discusses how SONNET was used to produce a taxonomic organization of the mammography archive in an unsupervised manner. This process is subject to certain choices of SONNET parameters, in these numerical experiments using the craniocaudal view, and typically produced O(10), for example, 39 mammogram classes, by analysis of features from O() mammogram images. The mammogram taxonomy captured typical subtleties to discriminate mammograms, and it is submitted that this may be exploited to aid the detection of mammographic anomalies, for example, by acting as a preprocessing stage to simplify the task for a computational detection scheme, or by ordering mammography examinations by mammogram taxonomic class prior to screening in order to encourage more successful visual examination during screening. The resulting taxonomy may help train screening radiologists and conceivably help to settle legal cases concerning a mammography screening examination because the taxonomy can reveal the frequency of mammographic patterns in a population.

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Fancher, Crystal E., Anthony Scott, Ahkeel Allen, and Paul Dale. "Mammographic Screening at Age 40 or 45? What Difference Does it Make? the Potential Impact of American Cancer Society Mammography Screening Guidelines." American Surgeon 83, no. 8 (August 2017): 847–49. http://dx.doi.org/10.1177/000313481708300834.

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This is a 10-year retrospective chart review evaluating the potential impact of the most recent American Cancer Society mammography screening guidelines which excludes female patients aged 40 to 44 years from routine annual screening mammography. Instead they recommend screening mammography starting at age 45 with the option to begin screening earlier if the patient desires. The institutional cancer registry was systematically searched to identify all women aged 40 to 44 years treated for breast cancer over a 10-year period. These women were separated into two cohorts: screening mammography detected cancer (SMDC) and nonscreening mammography detected cancer (NSMDC). Statistical analysis of the cohorts was performed for lymph node status (SLN), five-year disease-free survival, and five-year overall survival. Women with SMDC had a significantly lower incidence of SLN positive cancer than the NSMDC group, 9 of 63 (14.3%) versus 36 of 81 (44 %; P < 0.001). The five-year disease-free survival for both groups was 84 per cent for SMDC and 80 per cent for NSMDC; this was not statistically significant. The five-year overall survival was statistically significant at 94 per cent for the SMDC group and 80 per cent for the NSMDC group (P < 0.05). This review demonstrates the significance of mammographic screening for early detection and treatment of breast cancer. Mammographic screening in women aged 40 to 44 detected tumors with fewer nodal metastases, resulting in improved survival and reaffirming the need for annual mammographic screening in this age group.

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Johnson, Roman, and Mieke Beth Thomeer. "Abstract 37: Understanding the social determinants of guideline-based mammography adherence across race/ethnicity: Results from the 2016 California Health Interview Survey." Cancer Research 82, no. 12_Supplement (June 15, 2022): 37. http://dx.doi.org/10.1158/1538-7445.am2022-37.

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Abstract Purpose: There is not a consensus concerning recommendations about breast cancer screening which has generated confusion about when and how often to undergo mammography screening in the population, yet there is limited population-based data about the extent to which patients adhere to various mammographic screening guidelines in practice. Our purpose was to evaluate population-based adherence to mammographic screening using criteria from major guideline-producing organizations across race/ethnicity to understand what social determinants of mammography adherence are associated with each guideline producing institution. Methods: Women aged 45-79 in the 2016 California Health Interview Survey were included. Self-reported mammographic screening within 1 or 2 years, according to major guideline-producing organizations (American Cancer Society [ACS], US Preventative Services Task Force [USPSTF], American College of Radiology [ACR], American College of Obstetricians and Gynecologists [ACOG]) was calculated with logistic regression, adjusting for demographics, health care, insurance status, and BMI. Results: 7,551 women were included in this study. By age category, cross-sectional adherence to ACR/ACOG (annual screening) (65 to 67%) and USPSTF guidelines (biennial screening) ranged from 82-83% and with increasing age being generally associated higher adherence. The highest proportions of women undergoing mammographic screening were seen in women ages 60-69 (67% within last year, 85% within last 2 years). Statistically significant predictors of adherence to mammography screening included Latina race (OR 1.62, 0.18 SE), full time employment (OR 0.73, 0.09 SE), and not having a usual healthcare provider (OR 0.50, 0.12 SE), adjusted for demographics, health care, insurance status, and BMI. Conclusion: Frequency of screening increases with age with highest screening proportions in women ages 65-69 (66% within last year, 81% within last 2 years). For ACR/ACOG screening guidelines, adherence to mammography screening remains poorer in women with no usual source of care, given that their odds of exhibiting adherence was half that of women who did have a regular source of care and nearly 65 percent lower odds of those women with USPSTF mammography adherence. Key Words: Breast cancer, screening, race/ethnicity, guideline-based care Citation Format: Roman Johnson, Mieke Beth Thomeer. Understanding the social determinants of guideline-based mammography adherence across race/ethnicity: Results from the 2016 California Health Interview Survey [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 37.

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Šalát, Dušan, Denisa Nikodemová, Andrej Klepanec, Viera Lehotská, and Anna Šalátová. "DIAGNOSTIC REFERENCE LEVELS IN SCREENING MAMMOGRAPHY CENTERS IN SLOVAKIA." Radiation Protection Dosimetry 198, no. 9-11 (August 2022): 537–39. http://dx.doi.org/10.1093/rpd/ncac095.

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Abstract Optimization in mammography remains the most important tool in practice. In the optimization process, we look for a balanced relationship between image quality and patient dose. For mammographic examinations, the diagnostic reference levels (DRLs) are expressed as the average glandular dose (AGD) based on the thickness of the compressed breast. The aim of this study was to analyse DRL compliance in diagnostic mammography at 16 mammography screening centres using an automated system for tracking patient doses during the period between January 2020 and December 2020 and to subsequently propose new DRLs for the screening mammography centres in Slovakia. The new DRLs were ~20% lower than the existing national DRLs in diagnostic mammography in Slovakia and significantly lower than the achievable AGD levels published in the fourth edition of the European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis.

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Hall, FM. "Screening mammography." American Journal of Roentgenology 147, no. 1 (July 1986): 195–97. http://dx.doi.org/10.2214/ajr.147.1.195.

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McLelland, R. "Screening mammography." American Journal of Roentgenology 147, no. 5 (November 1986): 1091–93. http://dx.doi.org/10.2214/ajr.147.5.1091.

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Taplin, Stephen H., Carolyn M. Rutter, Charles Finder, Margaret T. Mandelson, Florence Houn, and Emily White. "Screening Mammography." American Journal of Roentgenology 178, no. 4 (April 2002): 797–803. http://dx.doi.org/10.2214/ajr.178.4.1780797.

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Thurfjell, E. "Mammography Screening." Acta Radiologica 35, no. 4 (July 1, 1994): 345–50. http://dx.doi.org/10.3109/02841859409173302.

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Dissertations / Theses on the topic "Screening Mammography"

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簡適悠 and Sik-yau Anita Kan. "A clinical audit of mammography screening." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B41710113.

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Locascio, Nicholas (Nicholas J. ). "Deep learning for clinical mammography screening." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113130.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
"June 2017." Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 37).
Breast cancer is the most common cancer among women worldwide. Today, the vast majority of breast cancers are diagnosed from screening mammography. Multiple randomized clinical studies have demonstrated that screening mammography can help reduce the number of deaths from breast cancer among women ages 40 to 74, especially for those over age 50 [4], and can provide women diagnosed with breast cancer more options for less aggressive treatment [7]. Screening mammography is the first entry into the funnel of clinical mammography. A screening mammogram can result in a suspicious finding, leading the patient to receive additional imaging, and even surgical biopsy if the additional imaging. Screening mammography, as the first part of this funnel, is a place for machine learning to have impact on the largest amount of patients. In this work, we apply machine learning models to tasks in clinical mammography such as density estimation, and Bi-Rads prediction.
by Nicholas Locascio.
M. Eng.

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Kan, Sik-yau Anita. "A clinical audit of mammography screening." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B41710113.

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Chang, Sue-Ling. "Breast cancer subtypes and screening mammography sensitivity." Thesis, Université Laval, 2014. http://www.theses.ulaval.ca/2014/30680/30680.pdf.

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Les cancers du sein peuvent être classifiés selon le statut de récepteur d’estrogène (RE), de récepteur de progestérone (RP), de récepteur HER2, ou selon quatre sous-types (Luminal A, Luminal B, HER2-enrichi, Triple-négatif) ayant des propriétés biologiques et cliniques différentes. La sensibilité du dépistage par mammographie pourrait varier selon ces types de cancers mais ceci n’est pas encore clair. L’agressivité de la tumeur, mesurée par le grade histologique pourrait expliquer cette association. Les types de cancers d’intervalle ont été comparés à ceux de cancers détectés par dépistage parmi 1536 cas infiltrants provenant d’un centre de référence de Québec. Les tumeurs RE-négatif, RP-négatif, HER2-positif, Luminal B, HER2-enrichi et TPN étaient tous plus fréquentes chez les femmes avec cancers d’intervalle que chez celles avec cancers détectés par dépistage. À l’exception des tumeurs HER2-positif et HER2-enrichi, le grade histologique expliquait en grande partie la variabilité observée entre les types de cancer et la sensibilité.
Breast cancers can be classified according to tumour estrogen (ER) and progesterone (PR) receptors, human epidermal growth factor receptor 2 (HER2), and according to four subtypes (Luminal A, Luminal B, HER2-enriched, Triple-negative), each with different biological and clinical profiles. These tumour types may also influence screening mammography sensitivity but this is still not clear. Tumour aggressiveness, measured by the histological grade, may also play a role in explaining this association. Interval cancer types were compared to screen-detected cancer types in 1536 invasive cases obtained from a reference center in Quebec. ER-negative, PR-negative and HER2-positive, Luminal B, HER2-enriched and TPN tumours were all more frequent in women with interval cancers than in women with screen-detected cancers. Except for HER2-positive and HER2-enriched tumours, histological grade explained most of the variability observed between tumour receptor status, subtypes and sensitivity.

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Brown, Wendy L. "Emotional and pain responses to screening mammography /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16300.pdf.

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Dinh, Ngoc-Thy. "The Cost-Effectiveness of Screening Mammography in Canada." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32325.

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This work includes a series of studies that examines the health and economic impacts of screening mammography from international and Canadian perspectives. This work is a compendium of several researched chapters that include an introduction, four body chapters, and a discussion. The body chapters include a systematic review of the health economic literature on screening mammography, a review of quantitative models used to examine the consequences of breast cancer screening, and cost-effectiveness analyses of screening mammography programs in Canada for the general female population and for subgroups of the population at high-risk for breast cancer. There are three analytic chapters that will be submitted as manuscripts for peer-reviewed publication. The main results of this research show that current screening mammography practices in Canada may extend life at an acceptable cost to the health care system. Due to the outlined methodological limitations of this research the results should be interpreted with caution.

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Lagerlund, Magdalena. "Factors affecting attendance at population-based mammography screening /." Stockholm, 2002. http://diss.kib.ki.se/2002/91-7349-061-x/.

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Ali, Raed Mohammed Kadhim M. "Risk of radiation-induced cancer from screening mammography." Thesis, University of Salford, 2016. http://usir.salford.ac.uk/41581/.

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Background and Objectives: When the benefits and risks of mammography are considered, the risk of radiation-induced cancer is calculated only for the breast using the mean glandular dose (MGD). Whilst MGD is a useful concept, it has many limitations. This thesis aims to establish a novel method to determine and convey radiation risk from full field digital mammography (FFDM) screening using lifetime effective risk. Method: For effective risk calculations, organ doses as well as examined breast MGD are required. Screening mammography was simulated by exposing a breast phantom for cranio-caudal and medio-lateral oblique for each breast using 16 FFDM machines. An anthropomorphic dosimetry phantom loaded with thermo-luminescent detectors (TLDs) was positioned in contact with the breast phantom to simulate the client’s body. Once the risk per individual was calculated, total effective lifetime risk across 48 worldwide screening programmes was calculated. The total effective risk data sets were analysed to establish a regression model to predict the effective risk of any screening programme. Graphs were generated to extrapolate the total effective risk of any screening programme of specific screening commencement age and frequency considering the MGD differences of different FFDM machines. Since the highest radiation dose after examined breast was received by contralateral breast, the effect of a contralateral breast lead shield on effective risk was also investigated. Results: Large differences in the effective lifetime risk exist between worldwide screening programmes. The effective lifetime risk varied from approximately 50 cases/106 to more than 1000 cases/106. These differences were mainly attributed to the commencement age and frequency of screening. Since tissue radio-sensitivity reduces with age, the cessation age of screening mammography does not result in a noteworthy effect on the total effective risk. The use of contralateral breast shield reduces the total effective risk by about 1.5% for most worldwide screening programmes. Conclusion: A novel method has been proposed to assess radiation-induced cancer risk from FFDM screening which considers the radiation dose received by all body tissues in addition to the examined breast. Using effective risk, the data is more likely to be understandable by screening clients and referring clinicians, unlike MGD which is not readily available or understandable by the general populace. This novel method and the data are compatible with the incoming European Commission legislation about giving the patient information on radiation risk.

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Turnbull, Deborah Anne. "Psychosocial issues in implementing mammography screening in Australia." Phd thesis, Faculty of Arts, 1992. http://hdl.handle.net/2123/8575.

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Quante, Anne [Verfasser]. "Mammography screening 2.0 - translating risk adapted screening into clinical practice / Anne Quante." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2018. http://d-nb.info/1189067056/34.

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Books on the topic "Screening Mammography"

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Palmetti, Andrea, and Raphaël Roux. Mammography: Screening, results, and risks. New York: Nova Science, 2012.

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Goldfield, Herschel. The costs of providing screening mammography. Washington, D.C: Physician Payment Review Commission, 1989.

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Mammography screening: Truth, lies and controversy. London: Radcliffe Pub, 2012.

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4

Commission, Maine Mandated Benefits Advisory. Reports on screening mammography and PAP tests. Augusta, Me: The Commission, 1990.

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5

Iron, Karey. A review of mammography utilization in Ontario. North York, Ont: Institute for Clinical Evaluative Sciences in Ontario, 1995.

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John, Henderson. Economic evaluation of the Lothians mobile mammography screening project. Aberdeen: Health Economics Research Unit, University of Aberdeen, 1988.

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Mercer, Shawna L. Factors associated with mammography utilization: Results from the Ontario Health Survey. North York, Ont: Institute for Clinical Evaluative Sciences in Ontario, 1994.

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Peart, O. J. Lange Q & ATM Mammography Examination. New York: McGraw-Hill, 2008.

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Rajendra, Acharya U., ed. Performance evaluation of breast cancer: Screening, diagnosis, and treatment. Stevenson Ranch, Calif: American Scientific Publishers, 2010.

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Pontén, Jan. Breast cancer: Critical overviews of natural history, etiology, molecular biology and screening by mammography. New York: Wiley, 1990.

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Book chapters on the topic "Screening Mammography"

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Rosen, Eric L., Steven D. Frankel, and Edward A. Sickles. "Screening Mammography." In Breast Care, 52–68. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-2144-9_5.

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Meltzer, Carin, and Per Skaane. "Mammography Screening." In Breast Imaging, 43–68. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94918-1_3.

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Gøtzsche, Peter C., Iona Heath, and Fran Visco. "Ad hominem attacks: a measure of desperation?" In Mammography Screening, 220–37. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781846198410-17.

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Gøtzsche, Peter C., Iona Heath, and Fran Visco. "Can screening work?" In Mammography Screening, 320–30. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781846198410-24.

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Gøtzsche, Peter C., Iona Heath, and Fran Visco. "US recommendations for women aged 40–49 years." In Mammography Screening, 238–44. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781846198410-18.

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Gøtzsche, Peter C., Iona Heath, and Fran Visco. "Overdiagnosis and overtreatment." In Mammography Screening, 185–219. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781846198410-16.

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Gøtzsche, Peter C., Iona Heath, and Fran Visco. "Stonewalling the Cochrane report on screening." In Mammography Screening, 34–45. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781846198410-4.

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Gøtzsche, Peter C., Iona Heath, and Fran Visco. "Where is screening at today?" In Mammography Screening, 331–46. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781846198410-25.

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Gøtzsche, Peter C., Iona Heath, and Fran Visco. "Publication of entire Cochrane review obstructed for 5 years." In Mammography Screening, 136–46. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781846198410-12.

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Gøtzsche, Peter C., Iona Heath, and Fran Visco. "Introduction." In Mammography Screening, 1–12. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781846198410-1.

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Conference papers on the topic "Screening Mammography"

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Hume, A. "Microcalcification detection for mass screening programmes." In IEE Colloquium on Digital Mammography. IEE, 1996. http://dx.doi.org/10.1049/ic:19960490.

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Hanson, M. E. "Imaging standards in the national breast screening programme." In IEE Colloquium on Digital Mammography. IEE, 1996. http://dx.doi.org/10.1049/ic:19960485.

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Bottema, Murk J., and John P. Slavotinek. "Computer-aided screening mammography." In Research Workshop on Automated Medical Image Analysis, edited by Binh Pham, Michael Braun, Anthony J. Maeder, and Michael P. Eckert. SPIE, 1999. http://dx.doi.org/10.1117/12.351622.

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Sfakianakis, Eleftherios, Foivos Irakleidis, Katerina Ntailian, and Peng Tan. "CLINICAL SIGNIFICANCE OF BREAST DENSITY: IS THERE ANY NEED FOR SUPPLEMENTAL SCREENING?" In Abstracts from the Brazilian Breast Cancer Symposium - BBCS 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s2006.

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Objectives: Mammographic density (MD) is the amount of fibroglandular breast tissue, which appears relatively radiopaque on mammography when compared with fat that appears radiolucent. It may obscure an underlying breast cancer (BC), thus decreases mammographic sensitivity. MD is also an independent BC risk factor. MD is most commonly classified by the Breast Imaging Reporting and Data System (BI-RADS), fifth edition, 2012, where breast density is determined by radiologists using visual assessment that is subject to inter-rater variability. The term “dense breasts” refers to either heterogeneously dense or extremely dense breasts (category C or D), accounting for approximately 47%–50% of women. Supplemental screening modalities, such as digital breast tomosynthesis (DBT), MRI, and ultrasound, when combined with digital mammography (DM) have shown to be effective in the identification of mammographically occult breast lesions in high breast density patients. In this study, we examined the potential value of available screening modalities and their importance in patients with increased MD. Methodology: We conducted a systematic review of the literature via MEDLINE assessing the clinical importance of MD and its role in supplemental screening protocols. Results: Reduced mammographic sensitivity — Mammographic sensitivity rate is adversely proportional to MD. Breast stromal component and hence stromal stiffening promote an increase in MD. Another important factor is that extracellular matrix stiffness has been found to be tumorigenic and is significantly associated with BC. As a consequence, the combined relative BC risk is increased exponentially in levels A, B, C, and D BI-RADS categories, respectively. Supplemental screening modalities — To overcome the limitations of digital mammography in higher MD categories, the introduction of DBT has significantly improved BC detection and reduced recall rates when added to mammography. Both STORM-1 and STORM-2 trials showed the significant improvement in BC detection rate when DBT was combined with DM. On the other hand, MBTST trial revealed an increase of false-positive rates when BC screening was carried out with DBT alone. In another multicenter study, the ACRIN Protocol 6666 established that the addition of ultrasound (US) to DM in women within BI-RADS C and D groups will identify an additional 1.1–7.2 cancers per 1,000 high-risk women, but substantially increase the number of false positive results. Breast MRI may be offered as supplemental screening modality in women with heterogeneous or extremely dense breast tissue. The combination of MRI with DM and US in screening of heterogeneous or extremely dense breasts with at least one risk factor for BC produces a 100% sensitivity rate. Also, supplemental MRI screening in women with extremely dense breasts can reduce the incidence of undetected interval BC. On the contrary, the addition of MRI possesses low specificity rates and increased cost. Conclusions: Increased BD is a common mammographic finding in women. Although very common, its association with reduced mammographic sensitivity and consequently BC detection masking is of high clinical significance. Additionally, BD alone is a risk factor for BC, despite the fact that the exact mechanisms of tumorigenesis associated to it are yet to be fully understood. Supplemental screening modalities, such as DBT, MRI, and US, when combined with DM have been shown to be effective in the identification of mammographically occult BC in high BD patients. The increased number of unnecessary biopsies as a result of increased false positivity rates may increase the physical and psychological patient burden. Since there is no consensus for routine use of DBT or MRI in screening of women with increased BD, the decision for supplemental screening should be personalized.

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Hammond, Sean M., Ian R. L. Davies, Paul T. Sowden, and Jason Davies. "Decision support in screening mammography." In Medical Imaging 1996, edited by Harold L. Kundel. SPIE, 1996. http://dx.doi.org/10.1117/12.236853.

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Mainprize, James, Olivier Alonzo-Proulx, Taghreed I. Alshafeiy, James T. Patrie, Jennifer A. Harvey, and Martin J. Yaffe. "Masking risk predictors in screening mammography." In Fourteenth International Workshop on Breast Imaging, edited by Elizabeth A. Krupinski. SPIE, 2018. http://dx.doi.org/10.1117/12.2318074.

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Woods, Kevin S., and Maha Sallam. "Computer-aided detection for screening mammography." In BiOS '99 International Biomedical Optics Symposium, edited by R. Rox Anderson, Kenneth E. Bartels, Lawrence S. Bass, Darryl J. Bornhop, C. Gaelyn Garrett, Kenton W. Gregory, Nikiforos Kollias, et al. SPIE, 1999. http://dx.doi.org/10.1117/12.351005.

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Welch, HG. "Abstract PL01: Screening mammography and overdiagnosis." In Abstracts: Thirty-Sixth Annual CTRC-AACR San Antonio Breast Cancer Symposium - Dec 10-14, 2013; San Antonio, TX. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/0008-5472.sabcs13-pl01.

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Soares, Leonardo Ribeiro, Rosangela da Silveira Corrêa, Rosemar Macedo Sousa Rahal, Danielle Cristina Netto Rodrigues, Suzana Alves Bastos, Rodrigo Massakatsu Nishiharu Tanaka, Lucy Aparecida Parreira Marins, and Ruffo Freitas-Junior. "MAMMOGRAPHY SCREENING IN A STATE OF MIDWESTERN BRAZIL: AN ECOLOGICAL STUDY." In Abstracts from the Brazilian Breast Cancer Symposium - BBCS 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s2027.

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Objective: To evaluate breast cancer screening according to demographic data, number, and geographical distribution of mammography units, screening coverage, and technology available. Method: This is an ecological study carried out among diagnostic centers with functioning mammography machines. We included all centers offering mammography in 2019. Correlations between the municipal human development index (HDI) and breast screening coverage were evaluated and the age of available equipment was compared between the public (SUS) and the private healthcare sector. Results were compared with a 2008 study. Results: In Goiás, 164 mammography units were operational, with 66 (40%) serving the SUS. Overall, the proportion of women/unit was 7,008/1 aged 40–69 years and 3,949/1 for women aged 50–69 years. Approximately 400,896 scans were performed — a mean of 200 scans/month (5–1,000) or 9 scans/day. Screening coverage was 83.2%, with 17.1% of these scans being performed within the SUS. The HDI correlated moderately but not significantly with screening coverage. There was no statistically significant difference in the mean age of the equipment between the SUS (14.29±7.79 years) and the private sector (15.17±7.67 years). When compared with the 2008 results, there was a decrease in the percentage of conventional units from 75.7% to 6%, an increase in computed radiography systems from 24.3% to 86.7%, and the introduction of digital radiography (7.3%). Conclusions: In 2019, breast-screening coverage in Goiás reached 83.2%, with 17.1% being conducted within the SUS. The geographical distribution of mammography units is heterogeneous and productivity is low. Compared with 2008, availability is increased and the standard of the equipment is improved.

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Cabero, Flávia Vidal, Ruffo Freitas-Junior, Rosângela da Silveira Corrêa, Danielle Cristina Netto Rodrigues, Leonardo Ribeiro Soares, and Paola Ferreira de Freitas. "CLINICAL IMAGE QUALITY EVALUATION OF MAMMOGRAPHY FOR BREAST CANCER SCREENING." In Abstracts from the Brazilian Breast Cancer Symposium - BBCS 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s2053.

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Objectives: To evaluate mammographic image quality in a real clinical practice scenario for breast cancer screening. Materials and Methods: Observational prospective study where images from digital mammograms from Diagnostic Service (DS) in the state of Goiás in 2019 were analyzed. A specific protocol was created based on evaluation criteria of the Brazilian College of Radiology, European Guidelines, and American College of Radiology. For each variable, score 1 was attributed to conformity and zero for nonconformity. Logistic regression model was utilized using the following independent variables: location (city vs. country), Public health system – Sistema Unico de Saude (SUS) (public vs. private), number of monthly examinations (≤300 vs. >300), device manufacturing year (≤2011 vs. >2011), and breast density (≤75% vs. >75% of the parenchyma). Results: Of the 163 fully functioning mammograms, 151 (92.6%) were eligible, providing 1,024 images. We evaluated 12,032 items, of which 4,096 were craniocaudal projections, 4,608 mediolateral oblique projections, and 3,328 equipment related. On the clinical image analysis as to the positioning of the patient, the higher conformity for symmetry parameters, in both projections (>90%), was observed. The conformity rate among the other parameters varied from 18.6% to 100%. In the multivariable analysis, it was observed that only the variables monthly examinations (OR 3.44; 95%CI 1.67–7.09; p=0.0008) and mammogram device manufacturing year (OR 2.46; 95%CI 1.02–5.95; p=0.04) were related to a higher conformity rate. After the percentage consolidation conformity rate per DS, as to the final clinical mammography quality, no DS presented desirable conformity (>90%), 20 DS obtained acceptable conformity (between 70% and 89%), and 10 DS presented conformity below 70%. Conclusion: Conformity rate of mammographic examination is extremely low and varies according to the multiple parameters analyzed. Mammographies performed at centers with less productivity (≤300/monthly) and with newer devices (>2,011) presented higher chances of conformity at the clinical imaging evaluation.

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Reports on the topic "Screening Mammography"

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Chu, Philip W. Outcomes of Screening Mammography in Elderly Women. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada405540.

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Smith-Bindman, Rebecca. Outcomes of Screening Mammography in Elderly Women. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada408866.

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Chu, Phillip, Rebecca Smith-Bindman, Chris Quale, and Chris Kagay. Outcomes of Screening Mammography in Elderly Women. Fort Belvoir, VA: Defense Technical Information Center, April 2004. http://dx.doi.org/10.21236/ada428254.

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Chu, Philip W., and Rebecca Smith-Bindman. Outcomes of Screening Mammography in Elderly Women. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada415781.

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Smith-Bindman, Rebecca. Outcomes of Screening Mammography in Elderly Women. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada392600.

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Bakos, Alexis. Determinants of Diagnostic Follow-Up After Inconclusive Screening Mammography. Fort Belvoir, VA: Defense Technical Information Center, October 1999. http://dx.doi.org/10.21236/ada391392.

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Mazurowski, Maciej. Adaptive Computer-Assisted Mammography Training for Improved Breast Cancer Screening. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada613553.

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Mazurowski, Maciej. Adaptive Computer-Assisted Mammography Training for Improved Breast Cancer Screening. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada570591.

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Garg, Pushkal P. Managed Care Penetration and the Use of Screening Mammography by Uninsured Women. Fort Belvoir, VA: Defense Technical Information Center, June 2002. http://dx.doi.org/10.21236/ada407552.

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Garg, Pushkal P. Managed Care Penetration and the Use of Screening Mammography by Uninsured Women. Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada420341.

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