According to the quantitative BI-RADS breast density classification, breast density on mammogram can be divided into four categories: (1) almost entirely fat (≤24%), (2) scattered fibroglandular densities (25 49%), (3) heterogeneously dense (50 74%), and (4) extremely dense (≥75%).
This three-way classification (breast feeding, formula milk feeding and mixed feeding) corresponds to the classifications of the MCH handbook.
The BI-RADS® classification (breast imaging reporting and data system) of the ACR American College of Radiologyy) provides a standardised classification of imaging findings according to the likelihood of malignancy.
Tumour node metastasis (TNM) classification, breast surgery, complications, radiotherapy and systemic therapy differed between the groups (p varied between <0.001 to 0.011).
The present randomised study compared the treatment results of level-I vs level-III dissection in T1/2/3 and N0/1a/1b (1987 UICC classification) breast cancer without distant metastasis.
According to this classification, breast tumors have been clustered into five different subtypes: luminal A, luminal B, Her2-overexpressing, normal-like and basal-like.
According to the gene expression-based intrinsic classification, breast carcinomas can be categorized into at least five subtypes: luminal A, luminal B, normal breast-like, human epidermal growth factor receptor 2 (Henrichediched, and a basal-like subtype [ 2, 3].
Another classification, Breast Imaging Reporting and Data System (BI-RADS), was developed in the USA to standardize mammography reports, reduce confusion in the interpretation of breast images, and facilitate the monitoring of results.
The present and three previous studies [ 4, 5, 14] used different qualitative classifications of breast density.
Histological classifications of breast cancer are largely grouped as genetically homogeneous models, although expression microarray data suggest otherwise.
