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.
The FDA will soon require mammography providers to inform all patients of their breast density status. To anticipate how the update might affect key stakeholders, it’s important to understand exactly what has changed.
The use of synthetic images could reduce the amount of gadolinium-based contrast agents needed for breast MRI examinations, according to new data published this week in Radiology.
An independent news media company based in India recently detailed the stories of 12 different women who, despite their documented clinical need, were unable to obtain a transvaginal ultrasound because they were unmarried at the time.
Electromyometrial imaging creates 3D maps of contractions during labor in real-time, which can help clinicians track contraction patterns and make decisions regarding patient management.
Axillary lymphadenopathy following COVID vaccination and/or boosters is a finding all radiologists must be mindful of when interpreting imaging, but new data clarify the timeline for when the side effect should resolve.
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.