Breast Cancer Detection Demonstration Project: five-year summary report.doi:10.3322/canjclin.32.4.194Larry H. BakerAssociate Professor in the Department of Community Health at the University of Kansas Medical Center in Kansas CityCA: A Cancer Journal for Clinicians...
Objective: The prediction of breast cancer survivability has been a challenging research problem for many researchers. Since the early dates of the related research, much advancement has been recorded in several related fields. For instance, thanks to innovative biomedical technologies, better explanatory...
Fig. 3: The normalized confusion matrix for the prediction of 4-category molecular subtypes of breast cancer by different models in the test cohort (n = 672). a–e Multi-ResNet, MulR-interSA, MulR-iiSA, MulR-interCSA, and proposed MDL-IIA models. MulR Multi-ResNet, SA self-at...
Risk factors for breast cancer according to estrogen and progesterone receptor status. J Natl Cancer Inst. 2004;96(3):218-228. doi:10.1093/jnci/djh025PubMedGoogle ScholarCrossref 44. Tyrer J, Duffy SW, Cuzick J. A breast cancer prediction model incorporating familial and personal risk ...
Breast cancer risk prediction models are widely used in clinical settings. Although most of the well-known models were designed based on data collected from western population, yet they have been utilized for surveillance purposes in many limited-resource countries. Given the genetic variations in ris...
Transcriptomics has revolutionized biomedical research and refined breast cancer subtyping and diagnostics. However, wider use in clinical practice is hampered for a number of reasons including the application of transcriptomic signatures as single sampl
Thus, it is important to recognize limitations of the breast cancer prediction models when counseling women of different ethnic groups. The aim of this paper is to examine and modify models of 5-year invasive breast cancer risk in participants of the Singapore Breast Screening Programme (SBSP) ...
Prognostic biomarkers serve a variety of purposes in cancer treatment and research, such as prediction of cancer progression, and treatment eligibility. Despite growing interest in multi-omic data integration for defining prognostic biomarkers, validated methods have been slow to emerge. Given that breas...
As a cell proliferation biomarker, Ki-67 is principally used in ER+/HER2− breast cancer. However, the importance and the best cutoff point of Ki-67 in triple-negative breast cancer (TNBC) remains unclear and was evaluated in this study.A total of 1800 patients with early invasive TNBC ...
Breast cancer incidence has been on the rise significantly in the Asian population, occurring at an earlier age and a later stage. The potential predictive value of molecular subtypes, biomarkers, and genetic variations has not been deeply explored in th