- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
MR finds contralateral breast cancer in elders
MRI detects breast cancer in the contralateral breast for postmenopausal women better than a clinical or mammographic examination, according to a Mayo Clinic study published in the March/April The Breast Journal.
MRI detects breast cancer in the contralateral breast for postmenopausal women better than a clinical or mammographic examination, according to a Mayo Clinic study published in the March/April The Breast Journal.
The researchers found 16 of 425 women, all postmenopausal, had breast cancer in the undiagnosed breast. Furthermore, patients 70 and older had a higher prevalence of cancer detected in the second breast than their younger counterparts. MRI found a cancer in seven of the 129 women 70 and older. Mammography and clinical examination did not detect cancer in any of the contralateral breasts.
“Elderly women in good health potentially benefit from earlier detection, and we believe that screening the undiagnosed breast with MRI should be considered in all postmenopausal women diagnosed with a breast cancer,” said lead investigator Dr. Johnny Ray Bernard Jr., a radiation oncologist at the Mayo Clinic in Jacksonville, FL.
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.
Mammography-Based AI Abnormality Scoring May Improve Prediction of Invasive Upgrade of DCIS
April 9th 2024Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.
Mammography Study: AI Improves Breast Cancer Detection and Reduces Reading Time with DBT
April 3rd 2024An emerging artificial intelligence (AI) model demonstrated more than 12 percent higher specificity and reduced image reading time by nearly six seconds in comparison to unassisted radiologist interpretation of digital breast tomosynthesis (DBT) images.
