Other headlines: AccelaRAD service promises patient access to images
Mammography-Based Deep Learning Model Facilitates Higher Breast Cancer Detection on Screening MRI
New research suggests the capability of a mammography-based deep learning model to identify women at high risk of breast cancer led to more than triple the cancer detection rate on breast MRI in comparison to traditional risk assessment tools.
The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 3
In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.
Emerging PET/CT Agent May Enhance Diagnosis for Smaller Lesions of Clear Cell Renal Cell Carcinoma
For cT1 renal masses < 4 cm and renal masses < 2 cm, the PET/CT agent 89Zr-DFO-girentuximab had respective sensitivity rates of approximately 85 percent and 96.7 percent for diagnosing clear cell renal cell carcinoma, according to research recently presented at the European Association of Nuclear Medicine (EANM) 2023 Congress.
The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 2
In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.
AI Software for CT Detection of Large Vessel Occlusion Facilitates Reduction of Triage Time for Acute Stroke
The use of automated detection of large vessel occlusion on computed tomography (CT) through artificial intelligence (AI) software reportedly led to an 11.2-minute reduction in triage time from the completion of imaging to initiation of endovascular therapy, according to newly published research.
Image IQ Quiz: 42-Year-Old Patient with Acute Abdominal Pain and Fever
Review the case study and test your knowledge to make the correct diagnosis.
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