FFDM may beat analog and CR for breast cancer screening
Full-field digital mammography (FFDM) detects breast cancer better than either...Read more on AuntMinnie.comRelated Reading: DBT finds more cancers of all types than FFDM DBT bests FFDM for surveillance after surgery U.K. study underscores mammography's effectiveness DBT again bests FFDM for screening Digital mammo finds more cancer, but boosts biopsy callbacks
ConclusionsThis study found no evidence that Family Medicine Groups affected screening rates for these 3 chronic diseases. Limitations in the implementation of the Family Medicine Group policy in its early years may have contributed to this lack of impact. Interprofessional primary care teams may need to include elements other than organizational changes to increase disease prevention efforts.
Breast Magnetic Resonance Imaging (MRI) is a well-established, valuable adjunct to screening mammography in women that have documented high-risk for developing breast cancer; it is also used to evaluate implants for silicone rupture and as part of the baseline work-up for patients presenting with axillary metastatic disease but a mammographically/sonographically occult primary breast cancer. The role of breast MRI in the preoperative evaluation of other women with an established breast cancer diagnosis is controversial.
Abstract The modified round block technique (MRBT) is a level I oncoplastic breast-conserving surgery (OBCS), which contains a very wide glandular flap created by extensive dual-plane undermining that is achieved by entire subcutaneous dissection and approximately 50% dissection of the breast parenchyma from the pectoralis muscle. A retrospective analysis was performed for 100 patients who underwent OBCS using MRBT from February 2009 to October 2017. The incidence of positive margin was 7.0% (seven cases), and there has been no local recurrence during a median follow-up period of 68 months. Short- and long-te...
The aim of this study was to quantify the impact of organised mammography screening on breast cancer mortality across European regions. Therefore, a systematic review was performed including different types of studies from all European regions and stringently used clearly defined quality appraisal to summarise the best evidence.
Artificial intelligence image analysis software developer Lunit has received...Read more on AuntMinnie.comRelated Reading: AI may help improve sensitivity of ED chest x-ray reads Lunit wins Korean approval for breast cancer AI software Lunit expands advisory board Fujifilm, Lunit partner on AI pilot in Mexico Lunit to debut AI for mammography at RSNA
Most states now require informing women that mammograms may not pick up cancers in dense breasts. How does this change breast cancer screening?Georgetown University Family Medicine
Conclusions The dedicated B-CT provides high-quality images. It can be used as alternative particularly in those patients not otherwise willing to perform mammography because of the breast compression.
This appeared a few days ago.Google AI system beats doctors in detection tests for breast cancerHannah KuchlerJan 2, 2020 — 3.19pmNew York | Google Health has developed a system that can identify breast cancer more accurately than radiologists, in the latest sign that artificial intelligence could improve early detection of disease in images.In a paper published in the scientific journal Nature, experts from Google H ealth, Alphabet’s DeepMind unit, and UK and US universities showed the AI model reduced both false positives, in which patients are wrongly told they have cancer, as well as false negatives, where ...
ConclusionsLonger US residence and younger age at migration were associated with greater breast density in Vietnamese American women. Identifying modifiable mediating factors to reduce lifestyle changes that adversely impact breast density in this traditionally low-risk population for breast cancer is warranted.
AbstractBackgroundTo date, 38 states have enacted dense breast notification (DBN) laws mandating that mammogram reports include language informing women of risks related to dense breast tissue.ObjectiveNationally representative survey to assess the association between residing in a state with a DBN law and women ’s awareness and knowledge about breast density, and breast cancer anxiety.DesignInternet survey conducted in 2018 with participants in KnowledgePanel ®, an online research panel.ParticipantsEnglish-speaking US women ages 40 –59 years without a personal history of breast cancer who had received...