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High grade breast cancer is recognized as more aggressive cancer type and is the worst survival prognostic. To explore the association of quantitative features extracted from mammograms with histological high-grade breast cancer. We conducted a retrospective study using an open source data got from figshare repository. These anonymized data were collected and used for a study approved by the institutional review board. Cranio-Caudal (CC) and Medio-lateral (MLO) mammograms and their tumor segmented images from 66 patients subdivided in two groups high histological grade (n=23) low-grade (low and intermediate, n=41). From breast cancer image segmentation, we extracted 480 features using python software radiomics package Pyradiomics 2.2. With the features extracted from CC and MLO images, we used them separately for histological high-grade breast, relevant feature selection. We performed univariate feature selection based on ANOVA test using machine learning python package: sklearn. A feature was considered relevant when P value is at least 0.05. At the end we represented the boxplot of the distribution of the low-and high-grade subject using each relevant feature selected. Twenty (20) CC images features were selected, seventen (17) were based on wavelets and three (3) were from original image. Their p values were ranged between 0.017 and 0.046. In the case of MLO features, four (04) relevant features were exclusively based on wavelets with 0.046 as the maximum p-value and 0.006 as minimum. These results suggested mammogram quantitative feature based on wavelets will be useful for high-grade breast cancer identification on mammographic image. In this study we explored the association between IBSI 2D quantitative features from mammogram with the histological high-grade breast cancer. Finally, we recorded twenty (20) relevant features from CC projection and four for MLO mammogram projection. Wavelets based features were more represented in relevant quantitative feature.

International audience; Background: Exposure to genotoxic stress such as radiation is an important public health issue affecting a large population. The necessity of analyzing cytogenetic effects of such exposure is related to the need to estimate the associated risk. Cytogenetic biological dosimetry is based on the relationship between the absorbed dose and the frequency of scored chromosomal aberrations. The influence of confounding factors on radiation response is a topical issue. The role of ethnicity is unclear. Here, we compared the dose-response curves obtained after irradiation of circulating lymphocytes from healthy donors of African and European ancestry.Materials and Methods: Blood samples from six Africans living in Africa, five Africans living in Europe, and five Caucasians living in Europe were exposed to various doses (0–4 Gy) of X-rays at a dose-rate of 0.1 Gy/min using an X-RAD320 irradiator. A validated cohort composed of 14 healthy Africans living in three African countries was included and blood samples were irradiated using the same protocols. Blood lymphocytes were cultured for 48 h and chromosomal aberrations scored during the first mitosis by telomere and centromere staining. The distribution of dicentric chromosomes was determined and the Kruskal-Wallis test was used to compare the dose-response curves of the two populations.Results: No spontaneous dicentric chromosomes were detected in African donors, thus establishing a very low background of unstable chromosomal aberrations relative to the European population. There was a significant difference in the dose response curves between native African and European donors. At 4 Gy, African donors showed a significantly lower frequency of dicentric chromosomes (p = 8.65 10–17), centric rings (p = 4.0310–14), and resulting double-strand-breaks (DSB) (p = 1.32 10–18) than European donors. In addition, a significant difference was found between African donors living in Europe and Africans living in Africa.Conclusion: This is the first study to demonstrate the important role of ethnic and environmental factors that may epigenetically influence the response to irradiation. It will be necessary to establish country-of-origen-specific dose response curves to practice precise and adequate biological dosimetry. This work opens new perspective for the comparison of treatments based on genotoxic agents, such as irradiation.