Sentence examples for breast response from inspiring English sources
The review of the reports looked at five main pieces of data; laterality, breast response, the presence of axillary metastases, axillary node number and type of axillary node surgery.
One patient refused surgery and only had a core biopsy after treatment, this case is excluded from further analysis although of note it was classified as pCR by one reviewer and breast response unknown by the other.
In the present study (Provenzano et al, 2013), the investigators go on to conduct a central review of all pathology reports by both a pathologist and a medical oncologist looking at several pieces of reported data, including breast response, presence of axillary metastases, axillary node number and type of axillary surgery.
The discrepancies were in the following areas; 6 – laterality, 169 – grading of breast response, 35 – presence of axillary metastasis, 108 – lymph node counts and 29 – type of axillary lymph node surgery.
The model mirrors observations of breast cancer response and histopathological changes to tamoxifen in neo-adjuvant trials.
Towards establishing a functional association between cellular crosstalk and differential cancer aggressiveness, we identified a signature of malignant breast epithelial response to stromal signaling.
Our results highlight that a biomimetic tumoral niche enables to reveal potent cellular effects and so far hidden molecular mechanisms underlying the breast cancer response to chemokines.
Preliminary clinical results suggested that breast tumor response to neoadjuvant chemotherapy may be associated with temporal and spatial changes in DCE-US-derived parametric measures of tumor perfusion.
Moreover, changes in neovascular morphology parametric measures may also help identify any breast tumor response (or lack thereof) to systemic treatment.
Padhani et al. [13] also reported that the change in the range of tumor perfusion and permeability estimated by MRI was able to predict breast cancer response to treatment, indicating that intra-tumoral heterogeneity is important.
