| scholarly article | Q13442814 |
| P50 | author | Jacques Simard | Q64516110 |
| William David Foulkes | Q37829195 | ||
| P2093 | author name string | J Gagnon | |
| L Provencher | |||
| S Meterissian | |||
| L Lalonde | |||
| C Diorio | |||
| J Richard | |||
| I Trop | |||
| B M Knoppers | |||
| C Savard | |||
| N Wong | |||
| L Eloy | |||
| E Lévesque | |||
| J Chiquette | |||
| N Duchesne | |||
| N Gervais | |||
| B L'Espérance | |||
| Clinical Advisory Committee on Breast Cancer Screening and Prevention | |||
| F Borduas | |||
| M Dumais | |||
| P2860 | cites work | Risk factors for breast cancer for women aged 40 to 49 years: a systematic review and meta-analysis | Q24628928 |
| Polygenes, risk prediction, and targeted prevention of breast cancer | Q81523323 | ||
| Public health implications from COGS and potential for risk stratification and screening | Q86499074 | ||
| American Society of Clinical Oncology Clinical Practice Guidelines: formal systematic review-based consensus methodology | Q38025078 | ||
| From candidate gene studies to GWAS and post-GWAS analyses in breast cancer | Q38366358 | ||
| Population genetic testing for cancer susceptibility: founder mutations to genomes | Q38611712 | ||
| Annual report to the nation on the status of cancer, 1975-2002, featuring population-based trends in cancer treatment | Q40383746 | ||
| Genetic susceptibility to breast cancer | Q41130542 | ||
| Breast-cancer screening--viewpoint of the IARC Working Group | Q41697220 | ||
| Public interest in and acceptability of the prospect of risk-stratified screening for breast and prostate cancer | Q41728154 | ||
| Breast cancer screening: time to target women at risk | Q43128186 | ||
| Trends in use of adjuvant multi-agent chemotherapy and tamoxifen for breast cancer in the United States: 1975-1999. | Q43871864 | ||
| Pan-Canadian study of mammography screening and mortality from breast cancer | Q45063675 | ||
| An update on mammography use in Canada. | Q45841330 | ||
| High constant incidence in twins and other relatives of women with breast cancer. | Q53403578 | ||
| Prevention of breast cancer in the context of a national breast screening programme | Q57266562 | ||
| Mammographic Density and the Risk and Detection of Breast Cancer | Q59545042 | ||
| Risk determination and prevention of breast cancer | Q26991921 | ||
| American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography | Q28295438 | ||
| Large-scale genotyping identifies 41 new loci associated with breast cancer risk | Q29416989 | ||
| Selective oestrogen receptor modulators in prevention of breast cancer: an updated meta-analysis of individual participant data | Q30620889 | ||
| Familial breast cancer: collaborative reanalysis of individual data from 52 epidemiological studies including 58,209 women with breast cancer and 101,986 women without the disease | Q30665466 | ||
| Breast cancer in young women: poor survival despite intensive treatment | Q30882889 | ||
| Familial Risk and Heritability of Cancer Among Twins in Nordic Countries | Q33874409 | ||
| Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers | Q33958285 | ||
| Incorporating tumour pathology information into breast cancer risk prediction algorithms | Q34048046 | ||
| Clinical software development for the Web: lessons learned from the BOADICEA project | Q34227099 | ||
| The benefits and harms of breast cancer screening: an independent review | Q34309421 | ||
| Effect of three decades of screening mammography on breast-cancer incidence | Q34313044 | ||
| Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer | Q34736112 | ||
| Use of pharmacologic interventions for breast cancer risk reduction: American Society of Clinical Oncology clinical practice guideline | Q34802964 | ||
| Polygenic susceptibility to prostate and breast cancer: implications for personalised screening | Q34977428 | ||
| Breast cancer screening in an era of personalized regimens: a conceptual model and National Cancer Institute initiative for risk-based and preference-based approaches at a population level. | Q35125812 | ||
| Adjusting the frequency of mammography screening on the basis of genetic risk: Attitudes among women in the UK. | Q35592936 | ||
| Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer | Q35996692 | ||
| Gene-panel sequencing and the prediction of breast-cancer risk | Q36175072 | ||
| Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort | Q36336239 | ||
| Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement | Q36393193 | ||
| What is translational genomics? An expanded research agenda for improving individual and population health | Q36412637 | ||
| Prediction of breast cancer risk based on profiling with common genetic variants | Q36583004 | ||
| St. Gallen 2013: brief preliminary summary of the consensus discussion | Q36932999 | ||
| Is clinical breast examination important for breast cancer detection? | Q37152904 | ||
| Breast cancer risk feedback to women in the UK NHS breast screening population. | Q37175043 | ||
| Prospective validation of the breast cancer risk prediction model BOADICEA and a batch-mode version BOADICEACentre | Q37185723 | ||
| Incorporating truncating variants in PALB2, CHEK2, and ATM into the BOADICEA breast cancer risk model | Q37378034 | ||
| BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface | Q37507410 | ||
| NCCN clinical practice guidelines in oncology: breast cancer screening and diagnosis | Q37636597 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 6 | |
| P921 | main subject | breast cancer | Q128581 |
| breast cancer screening | Q17011492 | ||
| P304 | page(s) | e615-e625 | |
| P577 | publication date | 2016-12-21 | |
| P1433 | published in | Current Oncology | Q3498968 |
| P1476 | title | Recommendations on breast cancer screening and prevention in the context of implementing risk stratification: impending changes to current policies | |
| P478 | volume | 23 |
| Q47637429 | A comparison of breast cancer survival among young, middle-aged, and elderly patients in southern Iran using Cox and empirical Bayesian additive hazard models. |
| Q42363834 | Breast Cancer Risk Estimation and Personal Insurance: A Qualitative Study Presenting Perspectives from Canadian Patients and Decision Makers |
| Q90358854 | Canine mammary tumor risk is associated with polymorphisms in RAD51 and STK11 genes |
| Q89799256 | Envisioning Implementation of a Personalized Approach in Breast Cancer Screening Programs: Stakeholder Perspectives |
| Q58657038 | Ethical, Legal, and Regulatory Issues for the Implementation of Omics-Based Risk Prediction of Women's Cancer: Points to Consider |
| Q98184153 | European polygenic risk score for prediction of breast cancer shows similar performance in Asian women |
| Q64092231 | Health professionals' perspectives on breast cancer risk stratification: understanding evaluation of risk versus screening for disease |
| Q47585688 | Large-scale DNA organization is a prognostic marker of breast cancer survival |
| Q64945839 | Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models. |
| Q97423797 | Predicting breast cancer risk using interacting genetic and demographic factors and machine learning |
| Q55396634 | Screening for breast cancer in 2018-what should we be doing today? |
| Q92755500 | Why the Gold Standard Approach by Mammography Demands Extension by Multiomics? Application of Liquid Biopsy miRNA Profiles to Breast Cancer Disease Management |
Search more.