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.
Full textLocascio, Nicholas (Nicholas J. ). "Deep learning for clinical mammography screening." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113130.
Full textThis 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.
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.
Full textChang, Sue-Ling. "Breast cancer subtypes and screening mammography sensitivity." Thesis, Université Laval, 2014. http://www.theses.ulaval.ca/2014/30680/30680.pdf.
Full textBreast 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.
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.
Full textDinh, Ngoc-Thy. "The Cost-Effectiveness of Screening Mammography in Canada." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32325.
Full textLagerlund, Magdalena. "Factors affecting attendance at population-based mammography screening /." Stockholm, 2002. http://diss.kib.ki.se/2002/91-7349-061-x/.
Full textAli, Raed Mohammed Kadhim M. "Risk of radiation-induced cancer from screening mammography." Thesis, University of Salford, 2016. http://usir.salford.ac.uk/41581/.
Full textTurnbull, Deborah Anne. "Psychosocial issues in implementing mammography screening in Australia." Phd thesis, Faculty of Arts, 1992. http://hdl.handle.net/2123/8575.
Full textQuante, 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.
Full textQuante, Anne Siobhain [Verfasser]. "Mammography screening 2.0 - translating risk adapted screening into clinical practice / Anne Quante." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2018. http://nbn-resolving.de/urn:nbn:de:bvb:19-241629.
Full textThomas, Chandra Mary. "Current use of hormone therapy and screening mammography outcomes." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0019/MQ49658.pdf.
Full textRashidnasab, Alaheh. "Simulation of breast lesions in x-ray mammography screening." Thesis, University of Surrey, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.659000.
Full textColliver, Kelly. "Factors Influencing Participation in Screening Mammography Among Rural Women." Otterbein University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=otbn1461074904.
Full textSoh, Bao Lin Pauline. "Test-Set Reading: Value to Mammography." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/11557.
Full textMohd, Norsuddin Norhashimah. "Recall Rates in Screening Mammography: Variability in Performance and Decisions." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17829.
Full textSolbjør, Marit. "Women’s experiences of mammography screening: : Decision making, participation and recall." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for sosiologi og statsvitenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2330.
Full textCoppe, Raelee Sharon, and edu au jillj@deakin edu au mikewood@deakin edu au wildol@deakin edu au kimg@deakin. "Correlates of Screening Mammography for Italian and Anglo-Australian Women." Deakin University. School of Psychology, 2001. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20040825.105605.
Full textHaggerty, Jean L. "Adherence to screening mammography guidelines by recently-licensed family physicians." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0020/NQ44447.pdf.
Full textBordás, Pál. "Evaluation of the effectiveness of mammography screening in Northern Sweden." Doctoral thesis, Umeå universitet, Onkologi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-36141.
Full textKaranfil, Ozge, and John Sterman. "A dynamic model for health screening: misperceptions, feedback and long term trends in screening mammography." BioMed Central, 2015. http://hdl.handle.net/1721.1/101748.
Full textSuleiman, Mo'ayyad Essa Abedulrahman. "Diagnostic Reference Levels for digital mammography in Australia." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18930.
Full textTimmerman, Karen Foti. "The specificity and sensitivity of screening mammography and estrogen therapy use." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0002/MQ42616.pdf.
Full textAbrahamsson, Linda. "Statistical models of breast cancer tumour growth for mammography screening data." Thesis, Uppsala universitet, Matematisk statistik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-171980.
Full textPurtzer, Mary Anne. "Processes inherent in mammography-screening decisions of rural, low-income women." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1338920401&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.
Full textHellquist, Barbro Numan. "Breast cancer screening with mammography of women 40-49 years in Sweden." Doctoral thesis, Umeå universitet, Onkologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-86215.
Full textLouro, Aldamiz-Echevarría Javier. "Individualized breast cancer risk prediction models applied to population-based screening mammography." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/673964.
Full textIntroducción: Se ha demostrado que el cribado mamográfico reduce la mortalidad por cáncer de mama. Siguiendo las recomendaciones de la Comisión Europea, los países europeos han establecido programas poblacionales de cribado que ofrecen mamografías bienales a mujeres de entre 50 y 69 años de edad. Sin embargo, el cribado de cáncer de mama no está libre de controversia ya que existe un debate en cuanto al equilibrio entre la reducción de la mortalidad y los efectos adversos. Para mejorar este equilibrio, la evidencia científica actual apoya el cribado personalizado. Los estudios de modelización han demostrado que modificar el intervalo de cribado, la prueba de cribado o el rango de edad de la población objetivo en función del riesgo individual de las mujeres produce un mayor beneficio que las estrategias convencionales. Por lo tanto, es necesario ampliar la información actual sobre los factores de riesgo de esta enfermedad y crear modelos de predicción del riesgo individual mediante el análisis de grandes bases de datos poblacionales. Objetivo: El objetivo general de esta tesis es profundizar en el análisis del cribado poblacional del cáncer de mama. En concreto, esta tesis pretende evaluar diferentes factores de riesgo de cáncer de mama para desarrollar y validar un modelo de predicción de riesgo individual de esta enfermedad. Se analizó cómo la densidad mamaria afecta a los distintos indicadores de cribado en el contexto de la mamografía digital. A continuación, se evaluaron las diferencias en el riesgo de cáncer de mama en función de si una lesión benigna de mama se diagnosticó en un cribado prevalente o un cribado incidente. También se analizó la interacción entre la densidad mamaria y las lesiones benignas en el riesgo de cáncer de mama. Posteriormente, se realizó una revisión sistemática para actualizar la evidencia existente, llevar a cabo una valoración crítica y una evaluación del riesgo de sesgo y resumir los resultados de los modelos de riesgo individualizados que se utilizan para estimar el riesgo de cáncer de mama en las mujeres de la población general. Por último, se diseñó un modelo de predicción individual del riesgo de cáncer de mama y se validó internamente, basado en información fácilmente accesible en un episodio de cribado. Conclusiones: i) Los distintos indicadores de cribado se ven afectados negativamente por la densidad mamaria, disminuyendo la sensibilidad y el valor predictivo positivo de la prueba a medida que aumenta la densidad mamaria. ii) El riesgo de cáncer de mama conferido por una lesión benigna difiere según el tipo de cribado (prevalente o incidente). Hasta donde sabemos, este es el primer estudio que analiza el impacto del tipo de cribado en el pronóstico de la lesión benigna. iii) El riesgo de cáncer de mama aumenta de forma independiente con la presencia de una lesión benigna y con una mayor densidad mamaria y se mantiene elevado durante más de 15 años. iv) Los modelos de predicción son herramientas prometedoras para implementar políticas de cribado basadas en el riesgo individualizado. Sin embargo, es un reto recomendar cualquiera de ellos para la personalización del cribado ya que necesitan mejorar su calidad y capacidad discriminatoria. v) Diseñamos y validamos internamente un modelo de predicción de riesgo capaz de estimar el riesgo de cáncer de mama a corto y largo plazo utilizando la información recogida de forma rutinaria en el cribado mamográfico. El modelo incluye edad, antecedentes familiares de cáncer de mama, antecedentes de lesión benigna y patrones mamográficos previos, que resultaron estar relacionados con un aumento del riesgo de cáncer de mama. El modelo debe ser validado externamente y actualizado con nuevas variables.
Background: Mammographic screening has been shown to reduce mortality from breast cancer. Following the recommendations of the European Council, European countries have started population-based screening programs that offer biennial mammograms to women aged between 50 and 69 years. The results of the effectiveness of population-based screening are controversial in terms of the balance between mortality reduction and adverse effects. To improve this balance, current evidence supports personalized screening. Modeling studies have shown that modifying the screening interval, screening modality, or age range of the target population based on women's individual risk yields a greater benefit than conventional standard strategies. Several risk models have been designed to estimate women's individual breast cancer risk based on their personal characteristics. However, most of these models have not been specifically developed to estimate the risk of women targeted for breast cancer screening. There is therefore a need to broaden current information on risk factors for breast cancer and the estimation of individual risk prediction models through the analysis of large population-based databases. Aims: The general objective of the thesis is to deepen the analysis of population-based breast cancer screening. Specifically, the aim of this thesis is to assess different breast cancer risk factors in order to develop and validate an individualized breast cancer risk prediction model. We evaluated how breast density affects screening performance indicators in a digital mammography context. Then, we assessed differences in breast cancer risk across benign breast disease diagnosed at prevalent or incident screens. To our knowledge, this is the first time that such an approach has been used. We also evaluated the interaction between breast density and benign breast disease. Subsequently, we performed a systematic review to update the existing evidence, conduct a critical appraisal and risk of bias assessment and summarize the results of the individualized risk models that are used to estimate the risk of breast cancer in women in the general population. Finally, a breast cancer risk prediction model was designed and internally validated, based on information easily accessible at screening. Conclusions: i) Performance screening measures are negatively affected by breast density, with sensitivity and positive predictive value decreasing as breast density increases. ii) The risk of breast cancer conferred by benign breast disease differed according to type of screen (prevalent or incident). To our knowledge, this is the first study to analyze the impact of screening type on the prognosis of benign breast disease. iii) The risk of breast cancer independently increased with the presence of benign breast disease and with greater breast density and remained elevated for over 15 years. iv) Individualized risk prediction models are promising tools for implementing risk-based screening policies. However, it is a challenge to recommend any of them since they need further improvement in their quality and discriminatory capacity. v) We designed and internally validated a risk prediction model able to estimate short- and long-term breast cancer risk using information routinely reported at screening participation. The model included age, family history of breast cancer, benign breast disease and previous mammographic findings, which were found to be related to an increase in breast cancer risk. The model should be externally validated and updated with new variables.
Universitat Autònoma de Barcelona. Programa de Doctorat en Metodologia de la Recerca Biomèdica i Salut Pública
Pyda, Sarada. "Effects of Spatial Accessibility on Preventive Healthcare Behaviors: impacts on screening mammography." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471876065.
Full textHooshmand, Sahand. "A novel model for predicting lifetime dose and risk in screening mammography." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29893.
Full textBycott, Valerie M. "Urban versus rural patterns of mammography use an analysis of two Southeastern states /." unrestricted, 2007. http://etd.gsu.edu/theses/available/etd-09282007-175629/.
Full textTitle from file title page. Russ Toal, committee chair; Rebecca Cowens-Alvarado, Ike Okosun, committee members. Electronic text (119 p. : col. maps) : digital, PDF file. Description based on contents viewed June 4, 2008. Includes bibliographical references (p. 90-96).
Merouani, Hayet Farida. "A Markov Random Field approach to the analysis of texture in digitised mammograms." Thesis, Robert Gordon University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302581.
Full textRiza, Eleni. "Determinants of mammographic parenchymal patterns and implications for breast cancer aetiology : a study in northern Greece (Ormylia Mammography Screening Programme)." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324626.
Full textYilmaz, Tugba. "Psychosocial Correlates Of Breast Self Examination And Mammography." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614639/index.pdf.
Full textand for the last step social support measures were added to the equation. For BSE, hierarchical logistic regression yielded no significant predictors but BSE confidence and susceptibility from the HBM. For mammography, the hierarchical logistic analysis resulted that only functional support, which was entered at the fourth step was significant. The strengths and limitations, as well as the implications of the findings, were discussed.
Kaltsa, Aikaterina. "An investigation of the factors that influence participation in mammography screening in Greece." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/14380/.
Full textChang-Cabanillas, Sergio, Joshua Peñafiel-Sam, Samuel Alarcón-Guevara, and Reneé Pereyra-Elías. "Social determinants of mammography screening among women aged 50 to 59, Peru 2015." Taylor and Francis Inc, 2020. http://hdl.handle.net/10757/652448.
Full textRevisión por pares
Jones, Marla V. "The effects of social networks on African-American women's use of mammography screening /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9946267.
Full textMizukoshi, Miwa Mia. "Mammography for Japanese women living in Australia: are current breast screening targets appropriate?" Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23245.
Full textBauk, Sabar. "Hydrophilic copolymer material characterisation in the mammographic energy region by transmission tomography." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/843517/.
Full textCowley, Helen Claire. "Assessment and training in breast cancer detection." Thesis, University of Derby, 1999. http://hdl.handle.net/10545/552395.
Full textJacklyn, Gemma. "The benefits and harms of breast cancer screening in Australia." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17977.
Full textArnold, Matthias [Verfasser]. "Linking Precision Medicine to Public Health: An Economic Perspective on Mammography Screening / Matthias Arnold." München : Verlag Dr. Hut, 2018. http://d-nb.info/1168534283/34.
Full textConnett, Rachel Sunmattie. "MRI as an Adjunct to Conventional Mammography Screening for Cancer in Dense Breast Tissue." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/390.
Full textMcPartling, Idara Sylvanus. "Self-Reported Health Status, Perceived Risk for Developing Breast Cancer, and Mammography Screening Use." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3182.
Full textSeaman, Kristen. "The Social Construction of Choice within Screening Mammography: Implications for Policy, Practice, and Communication." Thesis, Curtin University, 2020. http://hdl.handle.net/20.500.11937/82525.
Full textRichardson, Carlyn M. "Psychosocial associations of mammography screening: An exploratory analysis using the Health Information National Trends Survey (HINTS) 2005." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1306858270.
Full textHoman, Sherri G. "Predicting repeat mammography screening for underserved women 50 years of age and older in Missouri /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9962532.
Full textAbsetz, Pilvikki. "Determinants and psychological implications of breast cancer risk perceptions in the course of mammography screening." Helsinki : University of Helsinki, 2002. http://ethesis.helsinki.fi/julkaisut/hum/psyko/vk/absetz/.
Full textAlYacoob, Hadeel. "Cost-Effectiveness of Combining MRI with Mammography for Breast Cancer Screening Among High-Risk Population in Ottawa." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31381.
Full textSillah, Ansumana Rahman Muctaru. "Breast Cancer and Mammography Screening Among Black and Ethnic Minority Groups in Sheffield : A Qualitive Study." Thesis, University of Sheffield, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500062.
Full textLawal, O. A. "The 'fear factor' : Nigerian women and practitioners' views on the factors affecting attendance in mammography screening." Thesis, University of Salford, 2018. http://usir.salford.ac.uk/46976/.
Full text