The Psychosocial Effects of the Li-Fraumeni Education and Early Detection (LEAD) Program on Indivdiuals with Li-Fraumeni Syndrome

Li-Fraumeni syndrome (LFS) is a hereditary cancer syndrome that leads to an increased risk of multiple cancers. In the past five years new screening protocols have been developed that provide improved screening options for individuals with LFS. However, very little has been published on the psychosocial impact of these screening protocols. The goals of this study were to determine how participation in screening impacts individuals psychosocially, to examine the benefits and drawbacks of screening, and to evaluate possible barriers to continued screening. This qualitative study consisted of phone interviews with 20 individuals that took part in an LFS screening program at M.D. Anderson Cancer Center. Data analysis showed that benefits of screening include early detection, peace of mind, centralized screening, knowledge providing power, and screening making LFS seem more livable. Perceived drawbacks included logistical issues, difficulty navigating the system, screening being draining, and significant negative emotional reactions such as anxiety, fear, and skepticism. Regardless of the emotions that were present, 100% of participants plan on continuing screening in the program. Our data indicates that the perceived benefits of screening outweigh the drawbacks of screening. Individuals in this screening program appear to have improved psychosocial well-being because of their access to the screening program

Detecting and classifying lesions in mammograms with Deep Learning

In the last two decades Computer Aided Diagnostics (CAD) systems were developed to help radiologists analyze screening mammograms. The benefits of current CAD technologies appear to be contradictory and they should be improved to be ultimately considered useful. Since 2012 deep convolutional neural networks (CNN) have been a tremendous success in image recognition, reaching human performance. These methods have greatly surpassed the traditional approaches, which are similar to currently used CAD solutions. Deep CNN-s have the potential to revolutionize medical image analysis. We propose a CAD system based on one of the most successful object detection frameworks, Faster R-CNN. The system detects and classifies malignant or benign lesions on a mammogram without any human intervention. The proposed method sets the state of the art classification performance on the public INbreast database, AUC = 0.95 . The approach described here has achieved the 2nd place in the Digital Mammography DREAM Challenge with AUC = 0.85 . When used as a detector, the system reaches high sensitivity with very few false positive marks per image on the INbreast dataset. Source code, the trained model and an OsiriX plugin are availaible online at https://github.com/riblidezso/frcnn_cad

Health care professionals' preferences for extending mammographic breast screening to the over 70s

Background Breast screening improves survival in women aged 50–70. The relative benefits of screening in women over 70 are reduced but women up to age 80 may still benefit. In the UK the National Health Service provides screening by self referral to women >70. This research has investigated health care professionals' (HCPs') preferences for extending screening to older women and factors they consider when advising about screening. Materials and methods UK HCPs for breast or elderly care were recruited. A questionnaire relating to screening in the >70s was administered. A sample of respondents were also interviewed to give added insight. Results Questionnaires were distributed to 488 HCPs and 139 replies received, (29%). A total of 26 professionals were also interviewed. Most felt the current system of self referral was under-utilized due to poor user awareness. Predicted life expectancy, co-morbidity and patient preference were viewed as important factors influencing screening recommendation. Chronological age was thought less important. The present system was thought flawed, but there was little enthusiasm for extending screening due to perceived risks and reduced cost efficacy. Some form of selectivity for fitter women was advocated. Conclusions There was acceptance that fitter older women may benefit from screening whilst the less fit may be harmed suggesting that some form of selective invitation would be preferable to the present system but would be practically difficult and costly to administer. The present system of self referral was felt to be inadequate due to low levels of awareness and uptake

Feasibility Pilot Outcomes of a Mammography Decision Support and Navigation Intervention for Women With Serious Mental Illness Living in Supportive Housing Settings.

Objective: People with serious mental illness (SMI) experience significant disparities in morbidity and mortality from preventable and treatable medical conditions. Women with SMI have low mammography screening rates. SMI, poverty, and poor access to care can have a significant effect on a woman’s opportunity to learn about and discuss breast cancer screening with health care providers. This study examines the feasibility pilot outcomes of mammography decision support and patient navigation intervention (DSNI) for women with SMI living in supportive housing settings. The primary research question was: Does the DSNI increase knowledge, promote favorable attitudes, and decrease decisional conflict relating to screening mammography? Methods: We developed the intervention with the community using participatory methods. Women (n = 21) with SMI who had not undergone screening mammography in the past year participated in an educational module and decision counseling session and received patient navigation over a 6-month period. We conducted surveys and interviews at baseline and follow-ups to assess mammography decisional conflict. Results: Among study participants, 67% received a mammogram. The mammogram DSNI was feasible and acceptable to women with SMI living in supportive housing settings. From baseline to 1-month follow-up, decisional conflict decreased significantly (P= .01). The patient navigation process resulted in 270 attempted contacts (M= 12.86, SD = 10.61) by study staff (phone calls and emails with patient and/or case manager) and 165 navigation conversations (M= 7.86, SD = 4.84). A barrier to navigation was phone communication, with in-person navigation being more successful. Participants reported they found the intervention helpful and made suggestions for further improvement. Conclusions: The process and outcomes evaluation support the feasibility and acceptability of the mammography DSNI. This project provides initial evidence that an intervention developed with participatory methods can improve cancer screening outcomes in supportive housing programs for people with SMI

Funding Cuts to Public Health in Massachusetts: Losses Over Gains

Examines ten public health areas, from children's health to substance abuse, and describes the widening health disparities, reduced data collection, and other effects of budget cuts to programs in prevention, outreach, training, and technical assistance

Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks

Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the mammography is used as the most efficient technique to identify abnormalities such as tumors. Automatic detection of tumors in mammograms has become a big challenge and can play a crucial role to assist doctors in order to achieve an accurate diagnosis. State-of-the-art Deep Learning algorithms such as Faster Regional Convolutional Neural Networks are able to determine the presence of an object and also its position inside the image in a reduced computation time. In this work, we evaluate these algorithms to detect tumors in mammogram images and propose a detection system that contains: (1) a preprocessing step performed on mammograms taken from the Digital Database for Screening Mammography (DDSM) and (2) the Neural Network model, which performs feature extraction over the mammograms in order to locate tumors within each image and classify them as malignant or benign. The results obtained show that the proposed algorithm has an accuracy of 97.375%. These results show that the system could be very useful for aiding physicians when detecting tumors from mammogram images.Ministerio de Economía y Competitividad TEC2016-77785-

Mammography screening: views from women and primary care physicians in Crete

Background: Breast cancer is the most commonly diagnosed cancer among women and a leading cause of death from cancer in women in Europe. Although breast cancer incidence is on the rise worldwide, breast cancer mortality over the past 25 years has been stable or decreasing in some countries and a fall in breast cancer mortality rates in most European countries in the 1990s was reported by several studies, in contrast, in Greece have not reported these favourable trends. In Greece, the age-standardised incidence and mortality rate for breast cancer per 100.000 in 2006 was 81,8 and 21,7 and although it is lower than most other countries in Europe, the fall in breast cancer mortality that observed has not been as great as in other European countries. There is no national strategy for screening in this country. This study reports on the use of mammography among middleaged women in rural Crete and investigates barriers to mammography screening encountered by women and their primary care physicians. Methods: Design: Semi-structured individual interviews. Setting and participants: Thirty women between 45–65 years of age, with a mean age of 54,6 years, and standard deviation 6,8 from rural areas of Crete and 28 qualified primary care physicians, with a mean age of 44,7 years and standard deviation 7,0 serving this rural population. Main outcome measure: Qualitative thematic analysis. Results: Most women identified several reasons for not using mammography. These included poor knowledge of the benefits and indications for mammography screening, fear of pain during the procedure, fear of a serious diagnosis, embarrassment, stress while anticipating the results, cost and lack of physician recommendation. Physicians identified difficulties in scheduling an appointment as one reason women did not use mammography and both women and physicians identified distance from the screening site, transportation problems and the absence of symptoms as reasons for non-use. Conclusion: Women are inhibited from participating in mammography screening in rural Crete. The provision of more accessible screening services may improve this. However physician recommendation is important in overcoming women's inhibitions. Primary care physicians serving rural areas need to be aware of barriers preventing women from attending mammography screening and provide women with information and advice in a sensitive way so women can make informed decisions regarding breast caner screening

Patient Satisfaction in a Statewide Cervical Cancer Screening Program

A cross-sectional study of patients participating in the Nevada State Health Division’s Women Health Connection Program (WHC) was conducted to assess patient satisfaction for cervical cancer screening. In this study, 528 WHC program patients provided information regarding their satisfaction with the treatment services they received, accessibility issues, breast and cervical cancer health education and information, and overall program satisfaction. A large majority of patients reported high levels of satisfaction with the program services and clinic personnel. Significant positive correlations were found when comparing satisfaction with services received at the clinic to treatment received by physicians, nurses, and admissions personnel, how well information provided to patients eased their concerns, and when results were discussed with patients. Wait time for admission and to see a physician were negatively correlated to satisfaction. Those who reported that they would not use services again indicated lower levels of satisfaction with the information received and treatment from caregivers and admissions personnel when compared to those who would use the program again