Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?
| العنوان: | Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone? |
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| المؤلفون: | Joseph Ryan Wong Sik Hee, Soujanya Gadde, D. Gareth Evans, Anthony J. Maxwell, Anthony Howell, Yit Yoong Lim, Susan M. Astley, Elaine F. Harkness |
| المصدر: | Medical Imaging: Computer-Aided Diagnosis Wong Sik Hee, J, Harkness, E, Gadde, S, Lim, Y, Maxwell, A, Evans, D, Howell, A & Astley, S 2017, Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone? in SPIE Digital Library : Proceedings of Medical Imaging 2017 . vol. 10134, 101342P (March 3, 2017); doi:10.1117/12.2254291 . https://doi.org/10.1117/12.2254291 |
| بيانات النشر: | SPIE, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | Oncology, medicine.medical_specialty, business.industry, MAMMOGRAPHIC DENSITY, Cancer, Odds ratio, medicine.disease, Logistic regression, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Increased risk, Fully automated, 030220 oncology & carcinogenesis, Internal medicine, medicine, 030212 general & internal medicine, Breast density, business |
| الوصف: | High mammographic density is associated with an increased risk of breast cancer, however whether the association is stronger when there is agreement across measures is unclear. This study investigates whether a combination of density measures is a better predictor of breast cancer risk than individual methods alone. Women recruited to the Predicting Risk of Cancer At Screening (PROCAS) study and with mammographic density assessed using three different methods were included (n=33,304). Density was assessed visually using Visual Analogue Scales (VAS) and by two fully automated methods, Quantra and Volpara. Percentage breast density was divided into (high, medium and low) and combinations of measures were used to further categorise individuals (e.g. ‘all high’). A total of 667 breast cancers were identified and logistic regression was used to determine the relationship between breast density and breast cancer risk. In total, 44% of individuals were in the same tertile for all three measures, 8.6% were in non-adjacent (high and low) or mixed categories (high, medium and low). For individual methods the strongest association with breast cancer risk was for medium and high tertiles of VAS with odds ratios (OR) adjusted for age and BMI of 1.63 (95% CI 1.31-2.03) and 2.33 (1.87-2.90) respectively. For the combination of density methods the strongest association was for ‘all high’ (OR 2.42, 1.77-3.31) followed by “two high” (OR 1.90, 1.35-3.31) and “two medium” (OR 1.88, 1.40-2.52). Combining density measures did not affect the magnitude of risk compared to using individual methods. |
| وصف الملف: | application/msword |
| تدمد: | 0277-786X |
| DOI: | 10.1117/12.2254291 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d77923da04a685e3a418f4b35ff86ad https://doi.org/10.1117/12.2254291 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....4d77923da04a685e3a418f4b35ff86ad |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 0277786X |
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| DOI: | 10.1117/12.2254291 |