Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon:
Last week, you saw news that dense breast notification laws are working – just not as well as anyone had originally hoped. More women are learning about their particular circumstances and their individual characteristics that can place them at greater risk for an undetected breast cancer, but there is still work to do. But, do not get too discouraged. According to breast imaging expert Stamatia Destounis, M.D., FACR, with Elizabeth Wende Breast Care, there is more to be hopeful and excited about when it comes to the impact of these laws. Look for her input later this week.
For more coverage about breast density and dense breast notification laws, click here.
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Traumatic brain injury (TBI) can be devastating for any patient, and it can affect individuals differently. In a recent study from the National Institute of Neurological Disorders and Stroke, investigators have looked into how TBI can specifically affect women. Published in the Journal of Head Trauma Rehabilitation, researchers examine the growing opportunities and strategies, including imaging studies, to better understand how women experience these injuries. Keep an eye out for the study in the coming days.
For additional articles on traumatic brain injury, click here.
Bone pain from cancer can be debilitating, so effective strategies to minimize what patients experience are important. In a new study from Clinical and Translational Radiation Oncology, investigators from The Netherlands look at the efficacy of MR-Guided High Intensity Focused Ultrasound as a potential tool to relief pain in patients. Read more about their findings later this week.
For more coverage on bone pain, click here.
Current Insights and Emerging Roles for Contrast-Enhanced Mammography
May 10th 2024In a recent lecture at the 2024 ARRS Annual Meeting, Jordana Phillips, MD, discussed the role of contrast-enhanced mammography in staging breast cancer, evaluating response to neoadjuvant chemotherapy and recalls from screening.
MRI-Based Deep Learning Algorithm Shows Comparable Detection of csPCa to Radiologists
May 8th 2024In a study involving over 1,000 visible prostate lesions on biparametric MRI, a deep learning algorithm detected 96 percent of clinically significant prostate cancer (csPCa) in comparison to a 98 percent detection rate for an expert genitourinary radiologist.