Proton density fat fraction (PDFF) maps generated with non-contrast MRI have potential to directly characterise breast fat and can also enable calculation of breast density from a single non-invasive acquisition. Together, these two quantitative measurements could enable personalised risk assessment. Fur...
As a contrast, only eight risk genes were associated with CRFs. The RFs performed worse in predicting clinical characteristics than DRFs. Conclusions The deep learning-based auto MRI features perform better in predicting BC clinical characteristics, which are more significantly associated with GFs than...
Second, with regard to the computational thermal modeling of breast cancer, approximately 30 efforts have attempted to construct a numerical thermal model of the human female breast with cancer. Some researchers have focused on the “forward problem,” i.e., solving the governing equation to determ...
Radiomics, utilizing high-throughput quantitative imaging features, provides valuable insights into the intrinsic properties of tumors with a non-invasive method. Despite the current exceptional predictive performance of deep learning radiomics, our study prefers radiomics for its standardized and reproducible ...
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows screening, follow up, and diagnosis for breast tumor with high sensitivity. Accurate tumor segmentation from DCE-MRI can provide crucial information of tumor location and shape, which significantly influences the downstream clinical deci...
IHC detection revealed the highly heterogenous expression of TMED3, with the immunostaining varying from case to case from being negative, weak, and moderate to strong positive in breast cancer tissues (Fig. 1a–d). By contrast, TMED3 was hardly detectable or weak positive immunostaining of TMED...
Classification of small lesions in breast MRI: Evaluating the role of dynamically extracted texture features through feature selection. J. Med. Biol. Eng. 2013, 33. [Google Scholar] [CrossRef] [PubMed] Hassanien, A.E.; Kim, T.H. Breast cancer MRI diagnosis approach using support vector ...
In contrast, MRI may overestimate tumor extent [22]. Together, mammography and MRI are more sensitive than other tests or combination of tests [22]. Usually, mastectomy is the chosen surgical procedure for advanced-stage breast cancer [23]. Gu et al. [23] suggests that breast conservation ...
This approach comprised the use of a single computed tomography (CT) or magnetic resonance imaging (MRI) scan for volumetric analysis, which these investigators used to compare to simpler estimation techniques, create software-generated 3D reconstructions, calculate, and visualize volume differences, and...
Magnetic resonance imaging (MRI) is a very sensitive test that can find some tumors not detected by a mammogram (PDQ Screening Prevention Editorial Board 2017b). Women who are at especially high risk for breast cancer should get an MRI along with a mammogram every year (Mainiero 2017; Sardan...