A comparison of five methods of measuring mammographic density: a case-control study
| العنوان: | A comparison of five methods of measuring mammographic density: a case-control study |
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| المؤلفون: | Yit Yoong Lim, Susan M. Astley, Valerie Reece, Jack Cuzick, Elaine F. Harkness, N Barr, Tony Howell, Sara Bundred, Adam R. Brentnall, Anil Jain, Ursula Beetles, Mary Wilson, Jane Warwick, Ruth Warren, Paula Stavrinos, Jamie C. Sergeant, Soujanya Gadde, D. Gareth Evans |
| المساهمون: | Apollo - University of Cambridge Repository |
| المصدر: | Astley, S, Harkness, E, Sergeant, J, Warwick, J, Stavrinos, P, Warren, R, Wilson, M, Beetles, U, Gadde, S, Lim, Y, Jain, A, Bundred, S, Barr, N, Reece, V, Brentnall, A R, Cuzick, J, Howell, A & Evans, D G 2018, ' A comparison of five methods of measuring mammographic density: a case-control study ', Breast Cancer Research, vol. 20, no. 1, 10, pp. 10 . https://doi.org/10.1186/s13058-018-0932-z Breast Cancer Research, Vol 20, Iss 1, Pp 1-13 (2018) Breast Cancer Research : BCR |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Risk, Adult, medicine.medical_specialty, Visual analogue scale, Hormone Replacement Therapy, Population, Breast Neoplasms, lcsh:RC254-282, 030218 nuclear medicine & medical imaging, Body Mass Index, RC0254, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, PROCAS, Risk Factors, medicine, Mammography, Humans, Breast, education, Early Detection of Cancer, Cancer, Aged, Breast Density, education.field_of_study, Framingham Risk Score, medicine.diagnostic_test, Obstetrics, business.industry, Case-control study, Breast Neoplasms/diagnosis, Odds ratio, Case-control, Middle Aged, medicine.disease, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Mammography/classification, Breast/diagnostic imaging, Logistic Models, 030220 oncology & carcinogenesis, Breast density, Female, RG, business, Body mass index, Research Article |
| الوصف: | Background High mammographic density is associated with both risk of cancers being missed at mammography, and increased risk of developing breast cancer. Stratification of breast cancer prevention and screening requires mammographic density measures predictive of cancer. This study compares five mammographic density measures to determine the association with subsequent diagnosis of breast cancer and the presence of breast cancer at screening. Methods Women participating in the “Predicting Risk Of Cancer At Screening” (PROCAS) study, a study of cancer risk, completed questionnaires to provide personal information to enable computation of the Tyrer-Cuzick risk score. Mammographic density was assessed by visual analogue scale (VAS), thresholding (Cumulus) and fully-automated methods (Densitas, Quantra, Volpara) in contralateral breasts of 366 women with unilateral breast cancer (cases) detected at screening on entry to the study (Cumulus 311/366) and in 338 women with cancer detected subsequently. Three controls per case were matched using age, body mass index category, hormone replacement therapy use and menopausal status. Odds ratios (OR) between the highest and lowest quintile, based on the density distribution in controls, for each density measure were estimated by conditional logistic regression, adjusting for classic risk factors. Results The strongest predictor of screen-detected cancer at study entry was VAS, OR 4.37 (95% CI 2.72–7.03) in the highest vs lowest quintile of percent density after adjustment for classical risk factors. Volpara, Densitas and Cumulus gave ORs for the highest vs lowest quintile of 2.42 (95% CI 1.56–3.78), 2.17 (95% CI 1.41–3.33) and 2.12 (95% CI 1.30–3.45), respectively. Quantra was not significantly associated with breast cancer (OR 1.02, 95% CI 0.67–1.54). Similar results were found for subsequent cancers, with ORs of 4.48 (95% CI 2.79–7.18), 2.87 (95% CI 1.77–4.64) and 2.34 (95% CI 1.50–3.68) in highest vs lowest quintiles of VAS, Volpara and Densitas, respectively. Quantra gave an OR in the highest vs lowest quintile of 1.32 (95% CI 0.85–2.05). Conclusions Visual density assessment demonstrated a strong relationship with cancer, despite known inter-observer variability; however, it is impractical for population-based screening. Percentage density measured by Volpara and Densitas also had a strong association with breast cancer risk, amongst the automated measures evaluated, providing practical automated methods for risk stratification. Electronic supplementary material The online version of this article (10.1186/s13058-018-0932-z) contains supplementary material, which is available to authorized users. |
| وصف الملف: | application/pdf; application/octet-stream |
| اللغة: | English |
| تدمد: | 1465-542X |
| DOI: | 10.1186/s13058-018-0932-z |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1be6224b977652d0bdc3bb2293ed3ca1 https://www.research.manchester.ac.uk/portal/en/publications/a-comparison-of-five-methods-of-measuring-mammographic-density-a-casecontrol-study(359f1aae-5317-40b0-9245-c556cf71fbca).html |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....1be6224b977652d0bdc3bb2293ed3ca1 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1465542X |
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| DOI: | 10.1186/s13058-018-0932-z |