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.
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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.
Comparative AI Study Shows Merits of RapidAI LVO Software in Stroke Detection
February 6th 2025The Rapid LVO AI software detected 33 percent more cases of large vessel occlusion (LVO) on computed tomography angiography (CTA) than Viz LVO AI software, according to a new comparative study presented at the International Stroke Conference (ISC).
Can Deep Learning Radiomics with bpMRI Bolster Accuracy for Prostate Cancer Prognosis?
January 22nd 2025An emerging deep learning radiomics model based on biparametric MRI (bpMRI) offered a 14 to 17 percent higher AUC range than PI-RADS scoring for predicting the aggressiveness of prostate cancer, according to new research findings.