- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Some breast cancers mayregress spontaneously
Unexpected findings from a study ofNorwegian women who have and have notreceived routine biennial screening mammographysuggest some breast cancers mayspontaneously regress.
Unexpected findings from a study of Norwegian women who have and have not received routine biennial screening mammography suggest some breast cancers may spontaneously regress.
Dr. Per-Henrik Zahl, a senior statistician at the Norwegian Institute of Public Health in Oslo, and colleagues compared cumulative breast cancer incidence in agematched cohorts of women before and after the initiation of biennial mammography.
The initiation of screening mammography has been associated with increased breast cancer incidence among women of screening age, the researchers said. If all the newly detected cancers progressed and became clinically evident as women age, a fall in incidence among older women should follow, but such was not the case in this study. Results were reported in the Nov. 24 issue of the Archives of Internal Medicine (2008;168[21]:2311-2316).
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
MRI-Based AI Model Shows Promise in Predicting Lymph Node Metastasis with Breast Cancer
April 15th 2024For the prediction of axillary lymph node metastasis in patients with breast cancer, an MRI-based, 4D convolutional neural network model demonstrated an AUC of 87 percent and sensitivity of 89 percent, according to new research.
