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 on Diagnostic Imaging:
Breast Cancer Awareness month will soon be coming to a close, but that does not mean radiology practices and breast imaging centers should relax the attention they pay to patients who come in for breast cancer screening. This week, Diagnostic Imaging spoke with breast imaging technologist Stephanie Johnston from Solis Mammography in Texas about what is most important to women when they come in for annual screening, as well as what practices can do to ensure women have the best counters possible.
For additional insights on patient experience, click here.
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Stroke remains the leading cause of disability in the United States, as well as a leading cause of death. Given their skill set, radiologists are uniquely positioned for stroke prevention. In a column this week, Diagnostic Imaging Editorial Board member Mina Makary, M.D., an interventional radiologist from The Ohio State University Wexner Medical Center, shared insights on alternative training models for interventional neuroradiology.
To read our previous coverage of neuroimaging, click here.
Research efforts are continuing to help providers better understand the development of dementia in patients. This week, we will share investigation results from two institutions that shed light on how this disease affects the brain. Look for this coverage as the week progresses.
To read Diagnostic Imaging’s dementia coverage, 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.
FDA Clears AI-Powered Qualitative Perfusion Mapping for Cone-Beam CT
May 6th 2024Reportedly validated in more than 10 clinical trials, the AngioFlow perfusion imaging software enables timely identification of brain regions with cerebral blood flow reduction and those with significant hypoperfusion.