Alcohol Consumption Is a Modifiable Risk Factor for Breast Cancer: Are Women Aware of This Relationship?

AIMS: Despite alcohol consumption being a dose-dependent risk factor for breast cancer, a recent study conducted in the UK found <20% of women attending breast screening programmes were aware of this relationship and proposed proper information campaigns need to be conducted. We aimed to investigate the awareness of this relationship among a related sample of Italian women to evaluate whether similar information campaigns should also be conducted in Italy. METHODS: The questionnaire used by the UK study was translated into Italian, slightly modified for the Italian context, validated and submitted to a sample of Italian women. RESULTS: Overall 507 women were interviewed. Among them, 160 were classified as breast cancer screening attenders (SG), 44 as symptomatic breast clinic attenders (CAG) and 303 as non-screening group (NSG). Alcohol was correctly identified as a risk factor for breast cancer by 16.9, 11.4 and 14.9% of participants of SG, CAG and NSG, respectively without differences between the three groups. Despite the methodological differences, the rates of participants who correctly identified alcohol as a risk factor among women attending breast screening programmes were surprisingly similar between the study conducted in UK (15.7%) and the present study (16.9%). CONCLUSION: The results of the present study confirm the limited awareness of the relationship between alcohol consumption and risk of developing breast cancer among women and suggest the urgent need to conduct proper awareness-raising campaigns to counter this in the Italian female population.

Review of imaging biomarkers for the vulnerable carotid plaque.

Identification of carotid artery atherosclerosis is conventionally based on measurements of luminal stenosis. However, histopathologic studies demonstrate considerable differences between plaques with identical degrees of stenosis and indicate that certain plaque features are associated with increased risk for ischemic events. As a result of the rapid technological evolution in medical imaging, several important steps have been taken in the field of carotid plaque imaging allowing us to visualize the carotid atherosclerotic plaque and its composition in great detail. For computed tomography, magnetic resonance imaging, positron emission tomography, and ultrasound scan, evidence has accumulated on novel imaging-based markers that confer information on carotid plaque vulnerability, such as intraplaque hemorrhage and lipid-rich necrotic cores. In terms of the imaging-based identification of individuals at high risk of stroke, routine assessments of such imaging markers are the way forward for improving current clinical practice. The current review highlights the main characteristics of the vulnerable plaque indicating their role in the etiology of ischemic stroke as identified by intensive plaque imaging.

Artificial intelligence in computed tomography plaque characterization: A review.

Cardiovascular disease (CVD) is associated with high mortality around the world. Prevention and early diagnosis are key targets in reducing the socio-economic burden of CVD. Artificial intelligence (AI) has experienced a steady growth due to technological innovations that have to lead to constant development. Several AI algorithms have been applied to various aspects of CVD in order to improve the quality of image acquisition and reconstruction and, at the same time adding information derived from the images to create strong predictive models. In computed tomography angiography (CTA), AI can offer solutions for several parts of plaque analysis, including an automatic assessment of the degree of stenosis and characterization of plaque morphology. A growing body of evidence demonstrates a correlation between some type of plaques, so-called high-risk plaque or vulnerable plaque, and cardiovascular events, independent of the degree of stenosis. The radiologist must apprehend and participate actively in developing and implementing AI in current clinical practice. In this current overview on the existing AI literature, we describe the strengths, limitations, recent applications, and promising developments of employing AI to plaque characterization with CT.

Metabolomic analysis of plasma from breast tumour patients. A pilot study.

BACKGROUND: Patients at risk of breast cancer are submitted to mammography, resulting in a classification of the lesions following the Breast Imaging Reporting and Data System (BI-RADS®). Due to BI-RADS 3 classification problems and the great uncertainty of the possible evolution of this kind of tumours, the integration of mammographic imaging with other techniques and markers of pathology, as metabolic information, may be advisable. DESIGN AND METHODS: Our study aims to evaluate the possibility to quantify by gas chromatography-mass spectrometry (GC-MS) specific metabolites in the plasma of patients with mammograms classified from BI-RADS 3 to BI-RADS 5, to find similarities or differences in their metabolome. Samples from BI-RADS 3 to 5 patients were compared with samples from a healthy control group. This pilot project aimed at establishing the sensitivity of the metabolomic classification of blood samples of patients undergoing breast radiological analysis and to support a better classification of mammographic cases. RESULTS: Metabolomic analysis revealed a panel of metabolites more abundant in healthy controls, as 3-aminoisobutyric acid, cholesterol, cysteine, stearic, linoleic and palmitic fatty acids. The comparison between samples from BI-RADS 3 and BI-RADS 5 patients, revealed the importance of 4-hydroxyproline, found in higher amount in BI-RADS 3 subjects. CONCLUSION: Although the low sample number did not allow the attainment of high validated statistical models, some interesting data were obtained, revealing the potential of metabolomics for an improvement in the classification of different mammographic lesions.

Treatment of irradiated expanders: protective lipofilling allows immediate prosthetic breast reconstruction in the setting of postoperative radiotherapy.

BACKGROUND: Immediate two-stage prosthetic breast reconstruction in the setting of postmastectomy radiotherapy (PMRT) currently is hardly achieved with the fast-track expander exchange proposed by Cordeiro and colleagues or the delayed-immediate breast reconstruction proposed by Kronowitz and Robb. Each of these techniques has important drawbacks and complications. To overcome these problems, the authors in 2011 described lipofilling on irradiated expanders in patients undergoing unplanned PMRT (Cagliari University Hospital [CUH] protocol) for early breast cancers with specific risk factors. The authors report their experience after expanding the use of such a protocol for any immediate expander/implant reconstruction in a patient undergoing PMRT. METHODS: The timing for advanced breast cancer involves immediate reconstruction with a tissue expander, complete tissue expansion, radiotherapy (RT) after neoadjuvant chemotherapy starting 2-3 months after mastectomy, one or two fresh fat-grafting sessions at least 6 weeks after RT, and an expander-implant exchange with anterior capsulectomy at least 3 months after the completion of fat grafting. The timing for early breast cancers with specific risk factors involves immediate reconstruction with a tissue expander, complete tissue expansion during postoperative chemotherapy, RT 6 months after mastectomy, one or two fat-grafting sessions 6 weeks after RT, and an expander-implant exchange with anterior capsulectomy at least 3 months after the completion of fat grafting. From 2008 to 2012, 16 patients undergoing total mastectomy and immediate expander-implant breast reconstruction with subsequent PMRT were treated according to the CUH protocol. RESULTS: The results have been extremely encouraging, with rates of ulceration and implant exposure in the radiotreated area dropping to 0 %. These results were retrospectively compared with those for a control group of 16 patients who underwent immediate implantation of an expander. In this latter group, the extrusion rate of the implant in the end was 31.25 %, and this was statistically significant (p < 0.03). The shape and symmetry also were significantly better in the lipofilled patients. CONCLUSION: Protective lipofilling on irradiated expanders appears to be a valid technique for avoiding ulceration and implant exposure after PMRT while allowing a complete expansion. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .