Women’s imaging encompasses many radiology procedures related to women and the diseases that are most prevalent to women such as breast cancer or gynecological issues. Mammogram, breast ultrasound, breast MRI and breast biopsy are the most commonly used procedures.
In individuals who have not completed a DEXA scan, head CT conducted for other reasons can offer insight into patients’ frontal bone density, a potential marker of osteoporosis.
The new research, presented during ARRS 2024 in Boston, suggests CVD risk models may need to include certain findings identified in routine mammograms.
A team of experts determined that correlating masses initially detected on MRI are significantly more likely to result in a cancer diagnosis than other common findings.
This latest research further confirms that breast MRI not only detects tumors that mammography cannot, but it also spots invasive cases that pose greater risks to patients.
Experts, medical organizations and advocates alike are coming forward saying that the new guidelines “do not go far enough,” particularly when it comes to addressing the screening needs of certain patients.
How recent developments in hormonal contraceptives affect breast density is an important consideration, as an increase in density category increases cancer risk.
New research suggests that the tissue environment where microcalcifications of the breast are formed could hold clues into how breast cancer progresses.
New data suggest that it may not be necessary for women older than 65 with hormone receptor-positive breast cancer to undergo radiotherapy after breast-conserving surgery and hormone therapy, as it does not impact death rates or metastasis risk.
Prior research has shown that not only is contrast-enhanced spectral mammography comparable to CE-MRI in accuracy of loco-regional staging, but some studies have even found it to perform better.
The modality outperformed digital breast tomosynthesis, handheld ultrasound and automated breast ultrasound for cancer detection in a large cohort of women with dense breast tissue.
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.