Clinical Evaluation of a Fully-automated Parenchymal Analysis Software for Breast Cancer Risk Assessment: a Pilot Study in a Finnish Sample

Publication date: Available online 17 October 2019Source: European Journal of RadiologyAuthor(s): Said Pertuz, Antti Sassi, Kirsi Holli-Helenius, Joni Kamarainen, Irina Rinta-Kiikka, Anna-Leena Laaperi, Otso ArponenAbstractPurposeTo assess the association between breast cancer risk and mammographic parenchymal measures obtained using a fully-automated, publicly available software, OpenBreast.MethodsThis retrospective case-control study involved screening mammograms of asymptomatic women diagnosed with breast cancer between 2016 and 2017. The 114 cases were matched with corresponding healthy controls by birth and screening years and the mammographic system used. Parenchymal analysis was performed using OpenBreast, a software implementing a computerized parenchymal analysis algorithm. Breast percent density was measured with an interactive thresholding method. The parenchymal measures were Box-Cox transformed and adjusted for age and percent density. Changes in the odds ratio per standard deviation (OPERA) with 95% confidence intervals (CIs) and the area under the ROC curve (AUC) for parenchymal measures and percent densities were used to evaluate the discrimination between cases and controls. Differences in AUCs were assessed using DeLong’s test.ResultsThe adjusted OPERA value of parenchymal measures was 2.49 (95% CI: 1.79-3.47). Parenchymal measures using OpenBreast were more accurate (AUC = 0.779) than percent density (AUC = 0.609) in discri...
Source: European Journal of Radiology - Category: Radiology Source Type: research

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Source: Headlines - Category: Radiology Source Type: news
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Source: Headlines - Category: Radiology Source Type: news
Publication date: Available online 13 November 2019Source: American Journal of Preventive MedicineAuthor(s): Ethan O. Cohen, Olena O. Weaver, Hilda H. Tso, Karen E. Gerlach, Jessica W.T. Leung
Source: American Journal of Preventive Medicine - Category: International Medicine & Public Health Source Type: research
In this study, we propose a novel attention-guided dense-upsampling network (AUNet) for accurate breast mass segmentation in whole mammograms directly. In AUNet, we employ an asymmetrical encoder-decoder structure and propose an effective upsampling block, attention-guided dense-upsampling block (AU block). Especially, the AU block is designed to have three merits. Firstly, it compensates the information loss of bilinear upsampling by dense upsampling. Secondly, it designs a more effective method to fuse high- and low-level features. Thirdly, it includes a channel-attention function to highlight rich-information channels. ...
Source: Physics in Medicine and Biology - Category: Physics Authors: Tags: Phys Med Biol Source Type: research
AbstractBreast cancer is the most commonly diagnosed cancer among women in the USA. Despite the availability of screening mammograms, significant disparities still exist in breast cancer outcomes of racial/ethnic and sexual/gender minorities. To address these disparities, the Mount Sinai Mobile Breast Health Program in New York City collaborated with local organizations to develop culturally and linguistically appropriate breast cancer education programs aimed at increasing screening mammogram utilization. Literature review of the barriers to mammography screening formed the basis to allow us to draft a narrative presentat...
Source: Journal of Cancer Education - Category: Cancer & Oncology Source Type: research
Publication date: Available online 9 November 2019Source: Reproductive ToxicologyAuthor(s): Barbara A. Cohn, Piera M. Cirillo, Nickilou Y. Krigbaum, Lauren M. Zimmermann, Julie D. Flom, Mary Beth TerryABSTRACTIntrauterine and early-life exposures, including intrauterine smoke exposures and infant growth are associated with mammographic breast density (MBD), a strong breast cancer risk factor. We investigated whether placental morphometry which is affected by intrauterine smoke exposure and also influences infant growth predicts %MBD at ages 37-47. In 247 daughters in the Child Health and Development Studies, we found that ...
Source: Reproductive Toxicology - Category: Toxicology Source Type: research
Publication date: Available online 8 November 2019Source: Reproductive ToxicologyAuthor(s): Nickilou Y. Krigbaum, Piera M. Cirillo, Julie D. Flom, Jasmine A. McDonald, Mary Beth Terry, Barbara A. CohnAbstractPrior studies in the Child Health and Development Studies (CHDS) found in utero exposure to the pesticide, dichlorodiphenyltrichloroethane (DDT), increased breast cancer risk by age 52. Mammographic density is considered a primary risk factor for breast cancer. We conducted a study of 309 daughters from the CHDS to examine in utero DDT exposure and mammographic density in midlife. Among daughters with high (>75th pe...
Source: Reproductive Toxicology - Category: Toxicology Source Type: research
After a Styles column about one woman ’s experience with an early diagnosis, readers shared poignant stories of fear and survival.
Source: NYT Health - Category: Consumer Health News Authors: Tags: Breast Cancer Mastectomy Radiation Mammography Tamoxifen (Drug) New York Times Source Type: news
Condition:   Breast Cancer Intervention:   Other: mammography Sponsors:   Chinese University of Hong Kong;   IBM China/Hong Kong Limited Not yet recruiting
Source: - Category: Research Source Type: clinical trials
Authors: Sin M, McGuinness JE, Trivedi MS, Vanegas A, Silverman TB, Crew KD, Kukafka R Abstract Genetic testing is a method to assess hereditary cancer risk. However, it is under-utilized and various methods of family history intake have been evaluated in previous studies. The six-point-scale (SPS) is a validated family history screener that is used to determine eligibility for BRCA genetic counseling. We automated the calculation of the SPS score using structured family history data along with free text from the electronic health record (EHR) to detect detailed family history information of breast cancer. We extra...
Source: AMIA Annual Symposium Proceedings - Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research
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